{ "items": [ { "sdiUuid": "f12aad33-8ef0-4b05-8fc1-04ec34690714", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f12aad33-8ef0-4b05-8fc1-04ec34690714.png", "shortName": "EIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE EIONET Spatial Datasets - PUBLIC VERSION - version 1.2, Sep. 2018", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer", "label": 0, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f12aad33-8ef0-4b05-8fc1-04ec34690714", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-eionet_p_2001-2018_v01_r02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\ncYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\ncountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\nlat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nlon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nstatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\nstatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\nremarks:Additional information about the status code of the superseding object, if any.\nqcCheck:Additional information about checks performed in the data.\n\n2) Data sources\n\nInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\n\nAdditional information was reported under the \"WISE - Spatial Data (WISE-5)\" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\n\nFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \n\n3) Data processing\n\nThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \n\nFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\n\nThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2001, "tend": 2018, "abstract": "The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2018-08-15. \n\nThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\nFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the \"WISE WFD Reference Spatial Datasets reported under Water Framework Directive\".\n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\nAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\nLake: Body of standing inland surface water.\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "e9457773-8200-4a6e-a08c-e21ad6618537", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9457773-8200-4a6e-a08c-e21ad6618537.png", "shortName": "WFD_2010", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.2, Sep. 2018", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer", "label": 1, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9457773-8200-4a6e-a08c-e21ad6618537", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2010_p_2010-2018_v01_r02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2018, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\n\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nFor the relevant concepts please consult the metadata of the relevant child datasets.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "03a69768-78ef-4d6b-afac-a5e323365101", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/03a69768-78ef-4d6b-afac-a5e323365101.png", "shortName": "CDDA", "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Nationally designated areas (CDDA) polygons for public access - version 16, Nov. 2018", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/CDDAv16_Dyna_WM/MapServer", "label": 2, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/03a69768-78ef-4d6b-afac-a5e323365101", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly_p_2017-2018_v16_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Geopackage|PGeo", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_v16_2018.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2017, "tend": 2018, "abstract": "The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\n\nThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\n\nEEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.\n\nTwo versions of the dataset are provided. The \"CDDA_2018_v01_public_EuropeEPSG3035\" version includes only continental Europe, i.e. excludes the overseas entities. The full dataset (\"CDDA_2018_v01_public\") includes the entire geographical coverage including nationally designated areas in overseas entities. Both versions are provided in GDB and GPKG formats.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDAv16_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Albania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia", "publicationDate": "2019-06-14" }, { "sdiUuid": "c6d98fda-796e-40c0-b953-d716a8db1df5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6d98fda-796e-40c0-b953-d716a8db1df5.png", "shortName": "CDDA", "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for public access - version 15, Sept. 2017", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/CDDAv15_Dyna_WM/MapServer", "label": 3, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2017; \"\u00a9Finnish Environment Institute, 2017\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6d98fda-796e-40c0-b953-d716a8db1df5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2017_rev15-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_15.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\n\nEEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2017; \"\u00a9Finnish Environment Institute, 2017\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDAv15_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Albania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia", "publicationDate": "2019-06-04" }, { "sdiUuid": "c6faa0c9-c6e2-4a01-8676-c516dcb8f209", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6faa0c9-c6e2-4a01-8676-c516dcb8f209.png", "shortName": "Marine_subregions", "fileSystemPath": null, "gemetConcepts": "marine environment|sea", "sdiCentroidLon": null, "temporalCoverage": null, "title": "MSFD (Article 4) marine subregions - version 1, February 2017", "restApi": "http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/Marine_regions_subregions_v1/MapServer", "label": 4, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Marine", "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6faa0c9-c6e2-4a01-8676-c516dcb8f209", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_msfd-marine-subregions_2010-2017", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\nThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\n\nThe layer should be used on the following basis:\na. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\nb. It provides the boundaries of the marine subregions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine subregions. The marine subregions layer is meant to depict the marine subregions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine subregion, in accordance with MSFD Article 2(1).\nc. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\nd. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: \"This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.\".\ne. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\nf. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, this MSFD layer should be updated.\ng. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the marine subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\n\nFinally, the following notes are relevant for the understanding of the layer:\n- The area with inspireId \"EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_ACSo_1\" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course.\n-The area with inspireId \"EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_na_1\" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area.\n\nThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions", "crs": null, "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which the following two are further divided into four subregions each:\n\nNorth-east Atlantic Ocean:\no\tThe Greater North Sea, including the Kattegat and the English Channel\no\tThe Celtic Seas\no\tThe Bay of Biscay and the Iberian Coast\no\tMacaronesia\n\nMediterranean Sea:\no\tThe Western Mediterranean Sea\no\tThe Adriatic Sea\no\tThe Ionian Sea and the Central Mediterranean Sea\no\tThe Aegean-Levantine Sea\n\nThe present layer provides the spatial extent of these subregions, as agreed by the MSFD Committee in November 2016.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://marine.discomap.eea.europa.eu/arcgis/services/Marine/Marine_regions_subregions_v1/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Mediterranean Sea|Northeast Atlantic Ocean (40W)", "publicationDate": "2019-06-04" }, { "sdiUuid": "92540373-d8ea-4d70-aa7d-0f58ecd4f67f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d22b133d-b781-4b0d-914f-5b66f1911999.png", "shortName": "Marine_regions", "fileSystemPath": null, "gemetConcepts": "marine environment|sea", "sdiCentroidLon": null, "temporalCoverage": null, "title": "MSFD (Article 4) marine regions - version 2, June 2017", "restApi": "http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/Marine_regions_subregions_v1/MapServer", "label": 5, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Marine", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92540373-d8ea-4d70-aa7d-0f58ecd4f67f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_msfd-marine-regions_2010-2017_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "The delineation of the marine regions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between marine regions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\nThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\n\nThe layer should be used on the following basis:\na. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\nb. It provides the boundaries of the marine regions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine regions. The marine regions layer is meant to depict the marine regions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine region, in accordance with MSFD Article 2(1).\nc. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\nd. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: \"This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.\".\ne. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\nf. Notwithstanding the need to update the layer, the boundaries of the marine regions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\n\nFinally, the following note is relevant for the understanding of the layer:\n-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them.\n\nThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions-1", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), the following four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea. The present layer provides the spatial extent of these regions, as agreed by the MSFD Committee in November 2016.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://marine.discomap.eea.europa.eu/arcgis/services/Marine/Marine_regions_subregions_v1/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Baltic Sea|Black Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)", "publicationDate": "2019-06-04" }, { "sdiUuid": "52e9abc3-1085-46c2-b700-cd3bfc2c9146", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/52e9abc3-1085-46c2-b700-cd3bfc2c9146.png", "shortName": "Natura2000_2016", "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) - version 2016, Mar. 2017", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EUNIS_Website_Dyna_WM/MapServer", "label": 6, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/52e9abc3-1085-46c2-b700-cd3bfc2c9146", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2016, "abstract": "Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n\nThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\n\nThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.\n\nThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\n\nAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\n\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n\nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\n\nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/EUNIS_Website_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Protected sites|EU28", "publicationDate": "2019-06-04" }, { "sdiUuid": "a8e1d56f-10af-4279-a0fc-d39ec1ca94a5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a8e1d56f-10af-4279-a0fc-d39ec1ca94a5.png", "shortName": "WFD_2016", "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.2, Sep. 2018", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer", "label": 7, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a8e1d56f-10af-4279-a0fc-d39ec1ca94a5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2016_p_2016-2018_v01_r02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2018, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nFor the relevant concepts please consult the metadata of the relevant child datasets.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa.png", "shortName": "Ecosystem_types", "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe based on EUNIS level 2 (raster 100m) - version 2.1, Dec. 2015", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/MAES/MAES_ecosystem_type_maps_WM/MapServer", "label": 8, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ecosystem-types-l2_2006_rev2-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\nThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 2) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\n\nThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\n\nThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\n\nThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/MAES/MAES_ecosystem_type_maps_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1930b66c-18a1-4de8-834d-55bccf533646", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1930b66c-18a1-4de8-834d-55bccf533646.png", "shortName": "Natura2000_2017", "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) - version 2017, Mar. 2018", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000_Dyna_WM/MapServer", "label": 9, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1930b66c-18a1-4de8-834d-55bccf533646", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2017", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.\nMore information about the production of the European Natura 2000 database can be found in the document \"Natura 2000 dataflow doc 2017.docx\" available on https://www.eea.europa.eu/themes/biodiversity/document-library/natura-2000/the-natura-2000-data-flow/view.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2017, "tend": 2017, "abstract": "Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n\nThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\n\nThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.\n\nThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\n\nAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\n\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n\nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\n\nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28", "publicationDate": "2019-06-04" }, { "sdiUuid": "bbf5a08d-c41a-4f0a-9d04-e4a379460288", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbf5a08d-c41a-4f0a-9d04-e4a379460288.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "DEM over Europe from the GMES RDA project (EU-DEM, resolution 1 arcsec) - version 1, Oct. 2013", "restApi": "http://image.discomap.eea.europa.eu/arcgis/rest/services/Elevation/EUElev_DEM_V11/MapServer", "label": 10, "associatedResources": null, "sdiUseLimitation": "Access to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information.\nThe following credit must be displayed when using these data: Data funded under GMES preparatory action 2009 on Reference Data Access by the European Commission, DG Enterprise and Industry.\n\nAccess and use of the data is made on the conditions that:\n1. When distributing or communicating Copernicus data and information to the public, users shall inform the public of the source of that data and information.\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n3. Where that data or information has been adapted or modified, the user shall clearly state this.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eu-dem", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbf5a08d-c41a-4f0a-9d04-e4a379460288", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "entr_r_4258_1_arcsec_gsgrda-eudem-dem-europe_2012_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0002777777778deg", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": null, "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra. Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 metre. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset divided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. These tiles have then been aggregated into 5\u00b0x5\u00b0 tiles and mosaicked together into a single file by EEA.\nThe vertical unit of this DSM is metre.\nThe 5\u00b0x5\u00b0 tiles are provided as GeoTIFF with LZW compression.\nThe mosaic is provided as GeoTIFF with DEFLATE compression.\nOwnership of EU-DEM belongs to European Commission, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "14b39136-b4f1-4e49-a8c2-6972471b026d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14b39136-b4f1-4e49-a8c2-6972471b026d.png", "shortName": "WFD_River_Basin_Districts_2016", "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin districts reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 11, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14b39136-b4f1-4e49-a8c2-6972471b026d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-river-basin-districts-wfd2016-internal_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European river basin districts delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "65d546c6-3577-4938-8322-5d95188779a1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/65d546c6-3577-4938-8322-5d95188779a1.png", "shortName": "EIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE EIONET Spatial Datasets - INTERNAL VERSION - version 1.2, Sep. 2018", "restApi": null, "label": 12, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/65d546c6-3577-4938-8322-5d95188779a1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-eionet_i_2001-2018_v01_r02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\ncYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\ncountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\nlat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nlon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nstatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\nstatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\nremarks:Additional information about the status code of the superseding object, if any.\nqcCheck:Additional information about checks performed in the data.\n\n2) Data sources\n\nInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\n\nAdditional information was reported under the \"WISE - Spatial Data (WISE-5)\" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\n\nFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \n\n3) Data processing\n\nThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \n\nFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\n\nThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2001, "tend": 2018, "abstract": "The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2018-08-15. \n\nThis data set is available only for internal use of the European Environment Agency and may contain objects that are deprecated (i.e. that have been retired or superseded) and objects were marked confidential by data providers. \nPlease search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\nFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the \"WISE WFD Reference Spatial Datasets reported under Water Framework Directive\".\n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\nAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\nLake: Body of standing inland surface water.\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "856d5e79-6096-463d-8079-eacaced1a044", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/856d5e79-6096-463d-8079-eacaced1a044.png", "shortName": "WFD_Surface_Water_Body_2010", "fileSystemPath": null, "gemetConcepts": "surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD surface water bodies reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 13, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/856d5e79-6096-463d-8079-eacaced1a044", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-surface-water-bodies-wfd2010-internal_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nRelevant concepts: \n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \nLake: Body of standing inland surface water. \nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "c6729b06-f4c5-414a-86ce-bf1bda306ff4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6729b06-f4c5-414a-86ce-bf1bda306ff4.png", "shortName": "WFD_River_Basin_Districts_2010", "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin districts reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 14, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6729b06-f4c5-414a-86ce-bf1bda306ff4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-river-basin-districts-wfd2010-internal_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European river basin districts delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\nThis dataset updates the information published in \"WISE River basin districts (RBD) - version 1.4, Jun. 2011\" (http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c) \n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "a09e401d-307f-41d6-8324-85ca6de13b00", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Ground Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a09e401d-307f-41d6-8324-85ca6de13b00.png", "shortName": "WFD_Ground_Water_Body_2010", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD groundwater bodies reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 15, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a09e401d-307f-41d6-8324-85ca6de13b00", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-groundwater-bodies-wfd2010-internal_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\nThis dataset updates the information published in \"WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012\" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07) \n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "b8dce4d8-fadf-4c86-b298-c007265e9016", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b8dce4d8-fadf-4c86-b298-c007265e9016.png", "shortName": "WFD_sub_units_2016", "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin district sub-units reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 16, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b8dce4d8-fadf-4c86-b298-c007265e9016", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-sub-units-wfd2016-internal_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European river basin district sub-units delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "f9f17d81-04df-4aa5-bdcf-c06e114c39b4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9f17d81-04df-4aa5-bdcf-c06e114c39b4.png", "shortName": "WFD_sub_units_2010", "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin district sub-units reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 17, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9f17d81-04df-4aa5-bdcf-c06e114c39b4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-sub-units-wfd2010-internal_20070311-20170630_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2007, "tend": 2017, "abstract": "The dataset contains information on the European river basin district sub-units delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe spatial data reported under the WFD reporting obligations includes river basin districts, sub-units, surface water bodies, groundwater bodies and monitoring sites.\n\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\n\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nThis dataset updates the information published in \"WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011\" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf).\n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \n\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \n\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \n\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "f46fd608-98f5-4d2c-aac6-3316105f2c8b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f46fd608-98f5-4d2c-aac6-3316105f2c8b.png", "shortName": "WFD_Surface_Water_Body_2016", "fileSystemPath": null, "gemetConcepts": "monitoring station|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD surface water bodies reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 18, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f46fd608-98f5-4d2c-aac6-3316105f2c8b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-surface-water-bodies-wfd2016-internal_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \nLake: Body of standing inland surface water. \nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "68bc857c-4710-423c-977a-3f6d58d7c021", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Ground Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/68bc857c-4710-423c-977a-3f6d58d7c021.png", "shortName": "WFD_Ground_Water_Body_2016", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD groundwater bodies reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 19, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68bc857c-4710-423c-977a-3f6d58d7c021", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-groundwater-bodies-wfd2016-internal_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "f78beb69-bd26-4d53-b761-07fb05007d92", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f78beb69-bd26-4d53-b761-07fb05007d92.png", "shortName": "WISE_monitoring_sites_16", "fileSystemPath": null, "gemetConcepts": "groundwater|monitoring station|surface water|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD monitoring sites reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 20, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f78beb69-bd26-4d53-b761-07fb05007d92", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-monitoring-sites-wfd2016-internal_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). \nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts:\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "e74c9c01-1196-4617-86d6-3aec385927e7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e74c9c01-1196-4617-86d6-3aec385927e7.png", "shortName": "WISE_monitoring_sites_10", "fileSystemPath": null, "gemetConcepts": "groundwater|monitoring station|surface water|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD monitoring sites reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 21, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e74c9c01-1196-4617-86d6-3aec385927e7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-monitoring-sites-wfd2010-internal_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 1st River Basin Management Plans (RBMP). \nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nRelevant concepts:\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "ee1b7182-79a7-4974-a9c2-ebca2352a132", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Energy resources|Geographical names|Hydrography|Land cover|Land use|Mineral resources|Population distribution \u2014 demography|Production and industrial facilities|Protected sites|Soil|Transport networks|Utility and governmental services", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee1b7182-79a7-4974-a9c2-ebca2352a132.png", "shortName": "EuroRegionalMap_2017", "fileSystemPath": null, "gemetConcepts": "administrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|waterfall|waterway", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap (full European coverage) - version 11.1, Dec. 2017", "restApi": null, "label": 22, "associatedResources": null, "sdiUseLimitation": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Administrative_boundaries", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee1b7182-79a7-4974-a9c2-ebca2352a132", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_250_k_erm-europe_i_2017_v11_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "For the lineage description of the full product, please see \"ERM(EC)_v11.1_Lineage_FullEurope.doc\" provided with the dataset under the folder \"Metadata\". For detailed information on the national contribution, please consult the documents \"XX_ERM(EC)_v11_Lineage.doc\" (where XX is the country acronym), under the subfolder \"Countries\" of the folder \"Metadata\".", "crs": null, "rodUrl": null, "tbegin": 2017, "tend": 2017, "abstract": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 11.1 of ERM. \nFor more information about the data product specifications and changes with respect to the previous version of this dataset (ERM v11 and ERMv10), please refer to the documents \"ERM_v11-1_DataSpecification_EuroStat.pdf\", \"ERM_v11_TechnicalGuide.pdf\" and \"ERM(EC)_v11.1_Lineage_FullEurope.doc\" provided with the dataset. Main changes with respect to these previous versions are that the NMCAs updated BND, HYDRO, MISC and NAME thematic layers, and that the Directorate-General for Mobility and Transport (DG MOVE) of the European Commission identified the Trans-European Transport Network for roads, railways, airports, ports and the watercourse system.\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under the \"metadata\" folder.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Andorra|EFTA4|EU28|Faeroe Islands|Georgia|Isle of Man|Kosovo|Liechtenstein|Moldova|Monaco|North Macedonia|San Marino|Serbia|Vatican", "publicationDate": "2019-06-04" }, { "sdiUuid": "9c1dd142-7cf9-4213-950e-1083b5b02fff", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c1dd142-7cf9-4213-950e-1083b5b02fff.png", "shortName": "Urban_waste_water", "fileSystemPath": null, "gemetConcepts": "collective wastewater treatment|waste water discharge", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Treatment plants - version 4, Dec. 2012", "restApi": null, "label": 23, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9c1dd142-7cf9-4213-950e-1083b5b02fff", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_100_k_uwwtd-tp_2007-2011_rev4", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Some records are reporting erroneous lat/long coordinates:\nwhen features are clearly erroneous, they are removed.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2007, "tend": 2011, "abstract": "This dataset includes data on individual waste water treatment plants and collecting systems without UWWTP, their localisation, capacity and actual load treated, type of treatment, aggregated data on the performance of plants.\nThe table T_UWWTP_Agglo (uwwtd_uwwtp_agglo_v4.txt) is a connection table combining data on agglomeration and waste water treatment plants aloowing repoting of situations where the ratio agglomeration:UWWTP is 1:n or m:1.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "902787bb-a87c-42e6-b456-b41bc16c3f06", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/902787bb-a87c-42e6-b456-b41bc16c3f06.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for public access - version 12 revision 1, Nov. 2014", "restApi": null, "label": 24, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-9", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902787bb-a87c-42e6-b456-b41bc16c3f06", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2013_rev12-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process of the internal version is explained in the document CDDA_version_12.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2014, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDA_Dyna_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "74421f48-e62d-411b-b01e-5466a2cb955a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74421f48-e62d-411b-b01e-5466a2cb955a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for public access - version 12, Oct. 2014", "restApi": null, "label": 25, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74421f48-e62d-411b-b01e-5466a2cb955a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2013_rev12", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process of the internal version is explained in the document CDDA_version_12.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2014, "abstract": "Some features are missing from this dataset that should therefore not be used. An updated version has been released on 20/11/2014.\n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n\nThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDA_Dyna_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "5c8e945b-7a8d-4eca-b62f-6af53689d2af", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Atmospheric conditions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2025, EcF)", "restApi": null, "label": 26, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c8e945b-7a8d-4eca-b62f-6af53689d2af", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "ClimWatAdapt|agriculture|irrigation|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "61fa0fb4-1f51-45b2-9834-90d0cb2e61d7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Atmospheric conditions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cooling water stress during low flow conditions (ClimWatAdapt project, baseline)", "restApi": null, "label": 27, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61fa0fb4-1f51-45b2-9834-90d0cb2e61d7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 1961, "tend": 1990, "abstract": "Ratio of cooling water abstractions to Q90 for ClimWatAdapt baseline.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "9fa23e51-a965-43d4-b118-01448eecd7e8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Atmospheric conditions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Risk of losses in power production by hydroelectric dams (ClimWatAdapt project, 2025)", "restApi": null, "label": 28, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9fa23e51-a965-43d4-b118-01448eecd7e8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Reservoir stations are located below reservoirs and depend on the volume and on the difference in height between the source and the water's outflow. Changes in quantity and timing of river runoff, together with increased reservoir evaporation will have a number of effects on the production of hydroelectric power. As we have no information on dams and reservoirs, we analysed the impact of climate change on seasonal water availability on a river basin level, i.e. for winter (DJF) and summer (JJA) months. Especially the winter water storage is seen to be important. There are 5 classes to describe the risk of losses in power production:1. high risk: winter availability and summer availability decrease (>5%) 2. medium risk: winter availability decreases and summer availability increases3. low risk: winter availability increases and summer availability decreases4. very low: winter availability and summer availability increase5. ambiguous: no or small changes (+/- 5%)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "ClimWatAdapt|electricity|hydropower|infrastructure|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "0ea4d63e-5d99-45a9-8e11-9791da0fa724", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2025, SuE)", "restApi": null, "label": 29, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0ea4d63e-5d99-45a9-8e11-9791da0fa724", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2025,SCENES scenario Sustainability Eventually (SuE).The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "3058990c-a73f-4391-8d09-8c0a004b7806", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Relative area of NUTS2-units affected by severe droughts (ClimWatAdapt project, 2025)", "restApi": null, "label": 30, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3058990c-a73f-4391-8d09-8c0a004b7806", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "To evaluate how the magnitude of minimum flows may be affected by climate change the 7-day minimum flows are considered at several recurrence intervals (10, 20 and 50 years). The 7-day minimum flow period eliminates the day-to-day variations in river flow. It is obtained by moving an averaging window with an interval of 7 days over the discharge time series. For each year, the minimum was extracted from the smoothed discharge time series, resulting in a sample of 30 yearly minima for each period. To estimate the probability of extreme low river flows a Generalized Extreme Value (GEV) distribution (Coles, 2001; Katz et al., 2002) was fitted to the annual minimum values in every river cell using Maximum Likelihood estimation. More details on the methodology can be found in Feyen and Dankers (2009).The indicators for evaluating vulnerability to droughts are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). Here, river discharges calculated by LISFLOOD are reduced by water consumption, which were computed with WaterGAP. The ensemble median builds the basis for the hydrological information.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Share of NUTS-2 area affected by a severe drought event for 2025.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|droughts|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "3f2b3f39-5b25-44f9-91e0-f674bad84de5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cooling water stress during low flow conditions (ClimWatAdapt project, 2025, SuE)", "restApi": null, "label": 31, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f2b3f39-5b25-44f9-91e0-f674bad84de5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2025, SCENES scenario Sustainability Eventually (SuE)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "ac1a5ed2-7254-46e6-b611-b5f8f94f96da", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Risk of losses in power production by hydroelectric dams (ClimWatAdapt project, 2050)", "restApi": null, "label": 32, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac1a5ed2-7254-46e6-b611-b5f8f94f96da", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 207, "abstract": "Reservoir stations are located below reservoirs and depend on the volume and on the difference in height between the source and the water's outflow. Changes in quantity and timing of river runoff, together with increased reservoir evaporation will have a number of effects on the production of hydroelectric power. As we have no information on dams and reservoirs, we analysed the impact of climate change on seasonal water availability on a river basin level, i.e. for winter (DJF) and summer (JJA) months. Especially the winter water storage is seen to be important. There are 5 classes to describe the risk of losses in power production:1. high risk: winter availability and summer availability decrease (>5%) 2. medium risk: winter availability decreases and summer availability increases3. low risk: winter availability increases and summer availability decreases4. very low: winter availability and summer availability increase5. ambiguous: no or small changes (+/- 5%)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "fc32a5a7-0c3b-4f97-b851-5dec83a125c7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Vulnerability of the hydropower sector, run-of-river power plants approach (ClimWatAdapt project, 2050)", "restApi": null, "label": 33, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc32a5a7-0c3b-4f97-b851-5dec83a125c7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Run-of-river power plants are built in the rivers rely on the river discharge for being operational. In the context of the WFD, a \u201cGood Ecological Status\u201d has to be achieved, which means for this type of stations that the residual flow must equal the minimum water requirements for aquaticecosystems (Stigler et al. 2005). Here, we use the concept of Q95 for the residual flow and set the baseline Q95-value to be the threshold for the future. Future Q95 is then compared to the baseline value (= threshold) and assigned to another flow rate (Q90). The assessment is performed according to three classes: 1. no risk if Q95 (2050) > Q95 (baseline)2. medium risk if Q95 (2050) < Q95 (baseline) and Q90 (2050) > Q95 (baseline)3. high risk if Q95 (baseline) > Q90 (2050).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "1f0fcb49-fb4f-4913-8a1c-1824b604ec4a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cooling water stress during low flow conditions (ClimWatAdapt project, 2050, SuE)", "restApi": null, "label": 34, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f0fcb49-fb4f-4913-8a1c-1824b604ec4a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2050,SCENES scenario Sustainability Eventually (SuE)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "a281ca9b-dea7-48ef-b451-cf233038b5f6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Maintenance of environmental minimum flows, summer (ClimWatAdapt project, baseline)", "restApi": null, "label": 35, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a281ca9b-dea7-48ef-b451-cf233038b5f6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 1961, "tend": 1990, "abstract": "Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt baseline.The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "a07d9fa1-b9f5-46d9-9da6-e1eb132558c9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cooling water stress during low flow conditions (ClimWatAdapt project, 2050, EcF)", "restApi": null, "label": 36, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a07d9fa1-b9f5-46d9-9da6-e1eb132558c9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2050, SCENES scenario Economy First (EcF).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "4aa88c41-8d69-490d-aa0a-5a7139c496fa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Annual average water stress (ClimWatAdapt project, 2025 SuE)", "restApi": null, "label": 37, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4aa88c41-8d69-490d-aa0a-5a7139c496fa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "5a1b428a-3df0-407b-9acf-e0f99bcd750d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Annual average water stress (ClimWatAdapt project, 2050, SuE)", "restApi": null, "label": 38, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a1b428a-3df0-407b-9acf-e0f99bcd750d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Annual average water stress indicator WEI on river basin level for 2050, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "cce734d2-f60a-434a-8e9b-1aa961e9ff3e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2025, SUE)", "restApi": null, "label": 39, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cce734d2-f60a-434a-8e9b-1aa961e9ff3e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "fc791542-38ca-41a1-abde-ef5884cf8f16", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Water stress, summer (ClimWatAdapt project, 2025, SuE)", "restApi": null, "label": 40, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc791542-38ca-41a1-abde-ef5884cf8f16", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "2ace53f3-0a1b-42f3-8f4d-1bf42cc6e818", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Vulnerability of the hydropower sector, run-of-river power plants approach (ClimWatAdapt project, 2025)", "restApi": null, "label": 41, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2ace53f3-0a1b-42f3-8f4d-1bf42cc6e818", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Run-of-river power plants are built in the rivers rely on the river discharge for being operational. In the context of the WFD, a \u201cGood Ecological Status\u201d has to be achieved, which means for this type of stations that the residual flow must equal the minimum water requirements for aquaticecosystems (Stigler et al. 2005). Here, we use the concept of Q95 for the residual flow and set the baseline Q95-value to be the threshold for the future. Future Q95 is then compared to the baseline value (= threshold) and assigned to another flow rate (Q90).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "090b5d85-9d39-40d3-841f-fe3c02540446", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Annual average water stress (ClimWatAdapt project, 2025 EcF)", "restApi": null, "label": 42, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/090b5d85-9d39-40d3-841f-fe3c02540446", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "91d58a95-ba4b-4aae-b191-d80a9f52d761", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2050, EcF)", "restApi": null, "label": 43, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91d58a95-ba4b-4aae-b191-d80a9f52d761", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "18c9e0d9-a8dc-4041-96ce-5271c630088a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Relative area of NUTS2-units affected by floods (ClimWatAdapt project, 2050)", "restApi": null, "label": 44, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18c9e0d9-a8dc-4041-96ce-5271c630088a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The indicators for evaluating vulnerability to floods are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). To enhance the robustness and informative value of expected climate change impacts on flood hazards in Europe, this study aims at providing an assessment based on an ensemble of hydrological model results calculated by LISFLOOD. Here, the model was forced by 11 GCMRCM climate projections representing the SRES A1B emissions scenario. Then the 100-years flood indicator for large flood events is calculated: For each year, the maximum discharge is selected from the discharge time series. This results in a set of 30 maximum values for each time period, through which a Gumbel distribution is fitted using Maximum Likelihood estimation. Based on the fitted Gumbel distribution flood discharges are derived for the 100-year return interval and future recurrence intervals are derived of a current 100-year flood. More details on the methodology can be found in Dankers and Feyen (2008, 2009). The ensemble median builds the basis for the hydrological information.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Relative area of NUTS2-units affected by floods for 2050.Percentage of NUTS-2 area affected by 100-year flood event in the 2050s. Median of ensemble flood results as calculated by LISFLOOD.One of the most frequently used indicators for large floods is the discharge of a 100-year flood, defined as a flood that statistically returns once in 100 years. 100-year floods are extreme flood events, causing especially high economical damage. Therefore, the public interest is high in information about future changes in the magnitude of 100-year floods or in the frequency of what is currently a 100-year flood. Further, this indicator is frequently used for the dimensioning of flood protection works.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|floods|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "4a6d0d4c-8940-4d4b-863b-2225f760d677", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Change in Q95 (%) on NUTS2-level (ClimWatAdapt project, 2050)", "restApi": null, "label": 45, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a6d0d4c-8940-4d4b-863b-2225f760d677", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "1) Calculation of Q95 for all hydrological scenarios for the baseline and 2025s on a NUTS-2 level2) Comparison of future Q95 to baseline conditions. We carried out the calculation on NUTS-2 levelinstead of river basin level because we do not consider the water that is available but the riverdischarge at a NUTS border.3) Classification according to the directions of change", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Relative change in low flow parameter Q95 as compared to baseline conditions calculated as(Q95(future) - Q95(baseline)) / Q95(baseline)*100%Q95 is defined as the flow equalled or exceeded 95% of the time. The introductions of Q95 as minimum water requirements for aquatic ecosystems can be seen to be important, e.g., fish ecologists focused particularly on the protection of low flows.Currently, the natural flow regime is being modified at many rivers by anthropogenic activities such as river regulation, channelization, water abstractions and land-use changes. An additional threat is climate change, which may severely alter river hydrology over large regional scales in the future. Increasing temperatures will cause a reduction in runoff due to higher evapotranspiration values and changing precipitation amounts and patterns lead to lower or higher runoff in the future (IPCC 2007). The methodology applied to estimate the future status of environmental flows follows the recommendation from Acreman et al. (2008) to use Q95 as minimum flow for maintaining healthy aquatic ecosystems, as this is a critical threshold where no abstractions out of the river are allowed in UK.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "89353ad5-debf-4bb5-9157-e7e90b002416", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Relative area of NUTS2-units affected by floods (ClimWatAdapt project, 2025)", "restApi": null, "label": 46, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89353ad5-debf-4bb5-9157-e7e90b002416", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The indicators for evaluating vulnerability to floods are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). To enhance the robustness and informative value of expected climate change impacts on flood hazards in Europe, this study aims at providing an assessment based on an ensemble of hydrological model results calculated by LISFLOOD. Here, the model was forced by 11 GCMRCM climate projections representing the SRES A1B emissions scenario. Then the 100-years flood indicator for large flood events is calculated: For each year, the maximum discharge is selected from the discharge time series. This results in a set of 30 maximum values for each time period, through which a Gumbel distribution is fitted using Maximum Likelihood estimation. Based on the fitted Gumbel distribution flood discharges are derived for the 100-year return interval and future recurrence intervals are derived of a current 100-year flood. More details on the methodology can be found in Dankers and Feyen (2008, 2009). The ensemble median builds the basis for the hydrological information.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Relative area of NUTS2-units affected by floods for 2025.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|floods|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "34a2f590-196f-4a84-997d-79a775ecac25", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Water stress, summer (ClimWatAdapt project, 2025, EcF)", "restApi": null, "label": 47, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34a2f590-196f-4a84-997d-79a775ecac25", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "acbed825-24fe-463b-ac6d-f48921f3eb34", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2050, SUE)", "restApi": null, "label": 48, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acbed825-24fe-463b-ac6d-f48921f3eb34", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|Bio-geographical regions|ClimWatAdapt|agriculture|irrigation|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "a02c2bd9-e7bc-47f7-a5db-bd9006aba982", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Water stress, summer (ClimWatAdapt project, 2050, SuE)", "restApi": null, "label": 49, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a02c2bd9-e7bc-47f7-a5db-bd9006aba982", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE). In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "48300160-7c4d-42e4-8224-81c1b4877b60", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2050, SuE)", "restApi": null, "label": 50, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48300160-7c4d-42e4-8224-81c1b4877b60", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2050, SCENES scenario Sustainability Eventually (SuE).The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "df9b8b8f-bf58-40c6-b54c-4e7233e652bd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Change in Q95 (%) on NUTS2-level (ClimWatAdapt project, 2025)", "restApi": null, "label": 51, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df9b8b8f-bf58-40c6-b54c-4e7233e652bd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "1) Calculation of Q95 for all hydrological scenarios for the baseline and 2050s on a NUTS-2 level2) Comparison of future Q95 to baseline conditions. We carried out the calculation on NUTS-2 levelinstead of river basin level because we do not consider the water that is available but the riverdischarge at a NUTS border.3) Classification according to the directions of change", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Relative change in low flow parameter Q95 as compared to baseline conditions calculated as(Q95(future) - Q95(baseline)) / Q95(baseline)*100%Q95 is defined as the flow equalled or exceeded 95% of the time. The introductions of Q95 as minimum water requirements for aquatic ecosystems can be seen to be important, e.g., fish ecologists focused particularly on the protection of low flows.Currently, the natural flow regime is being modified at many rivers by anthropogenic activities such as river regulation, channelization, water abstractions and land-use changes. An additional threat is climate change, which may severely alter river hydrology over large regional scales in the future. Increasing temperatures will cause a reduction in runoff due to higher evapotranspiration values and changing precipitation amounts and patterns lead to lower or higher runoff in the future (IPCC 2007). The methodology applied to estimate the future status of environmental flows follows the recommendation from Acreman et al. (2008) to use Q95 as minimum flow for maintaining healthy aquatic ecosystems, as this is a critical threshold where no abstractions out of the river are allowed in UK.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "c0ceebc6-da8a-4fa6-830e-8f9a920545aa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Relative area of NUTS2-units affected by severe droughts (ClimWatAdapt project, 2050)", "restApi": null, "label": 52, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0ceebc6-da8a-4fa6-830e-8f9a920545aa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "To evaluate how the magnitude of minimum flows may be affected by climate change the 7-day minimum flows are considered at several recurrence intervals (10, 20 and 50 years). The 7-day minimum flow period eliminates the day-to-day variations in river flow. It is obtained by moving an averaging window with an interval of 7 days over the discharge time series. For each year, the minimum was extracted from the smoothed discharge time series, resulting in a sample of 30 yearly minima for each period. To estimate the probability of extreme low river flows a Generalized Extreme Value (GEV) distribution (Coles, 2001; Katz et al., 2002) was fitted to the annual minimum values in every river cell using Maximum Likelihood estimation. More details on the methodology can be found in Feyen and Dankers (2009).The indicators for evaluating vulnerability to droughts are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). Here, river discharges calculated by LISFLOOD are reduced by water consumption, which were computed with WaterGAP. The ensemble median builds the basis for the hydrological information.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Share of NUTS-2 area affected by a severe drought event for 2050.In this study, a severe drought event in the 2050s is defined as a 50-years drought event under baseline conditions that is expected to occur every 10 years in the future (2050s)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|droughts|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "31ea524e-e8a1-4ec6-b86d-46762e2f244a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2025, EcF)", "restApi": null, "label": 53, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31ea524e-e8a1-4ec6-b86d-46762e2f244a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2025, SCENES scenario Economy First (EcF)The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "f177e851-07de-4625-a26c-38d3b0678375", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ratio of irrigation water consumption to water availability (ClimWatAdapt project, baseline)", "restApi": null, "label": 54, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f177e851-07de-4625-a26c-38d3b0678375", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 1961, "tend": 1990, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for ClimWatAdapt baseline.In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "c0f6cd29-5296-47d8-8593-dfbd0b95249c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Water stress, summer (ClimWatAdapt project, 2050, EcF)", "restApi": null, "label": 55, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f6cd29-5296-47d8-8593-dfbd0b95249c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF). In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "04048cab-5fdb-4dcf-9fd5-84704627fdfb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2050, EcF)", "restApi": null, "label": 56, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/04048cab-5fdb-4dcf-9fd5-84704627fdfb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2041, "tend": 2070, "abstract": "Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2050, SCENES scenario Economy First (EcF)The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "423f5f89-a415-4f03-bf98-54bc71c160fe", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cooling water stress during low flow conditions (ClimWatAdapt project, 2025, EcF)", "restApi": null, "label": 57, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/423f5f89-a415-4f03-bf98-54bc71c160fe", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Not available", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2025, SCENES scenario Economy First (EcF).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|water management", "publicationDate": "2019-06-04" }, { "sdiUuid": "90c71a9b-603e-49ff-aecc-ff2f33c1aa78", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Annual average water stress (ClimWatAdapt project, 2025 EcF)", "restApi": null, "label": 58, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/90c71a9b-603e-49ff-aecc-ff2f33c1aa78", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2011, "tend": 2040, "abstract": "Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "72a091bf-274c-46ac-9903-dbb4d2f0c5ca", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Annual average water stress (ClimWatAdapt project, base line)", "restApi": null, "label": 59, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72a091bf-274c-46ac-9903-dbb4d2f0c5ca", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 1961, "tend": 1990, "abstract": "Annual average water stress indicator WEI on river basin level for ClimWatAdapt baseline. A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios \u201cEconomy First\u201d (EcF) and \u201cSustainability Eventually\u201d (SuE).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "f60e9c30-e269-430a-807a-a49434bdf3ab", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Water stress, summer (ClimWatAdapt project, base line)", "restApi": null, "label": 60, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f60e9c30-e269-430a-807a-a49434bdf3ab", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "874ddad6f8afb1f8024d806b603d55c341e458db", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 1961, "tend": 1990, "abstract": "The ratio of irrigation water consumption to water availability during June, July and August for ClimWatAdapt baseline.In order to assess the vulnerability of the agricultural sector to climate change, the indicator \u201cirrigation consumption-to-water availability\u201d (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really \u201cconsumed\u201d by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress", "publicationDate": "2019-06-04" }, { "sdiUuid": "717b42bc-2302-404d-b9c5-6efabf711dd5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal storm|inundation depth|river flood|sea level rise", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Potential physical impact (ESPON Climate project)", "restApi": null, "label": 61, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/717b42bc-2302-404d-b9c5-6efabf711dd5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "C15BC717_CBE3_CF68_719E_F0606E8E6D88", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.", "crs": null, "rodUrl": null, "tbegin": 2071, "tend": 2100, "abstract": "Combined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": "http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&", "placesCovered": "Atmospheric conditions", "publicationDate": "2019-06-04" }, { "sdiUuid": "4beb1475-7488-4fac-b82b-920600a8cf28", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": null, "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Change in regional exposure to river flooding between 1961-1990 and 2071-2100 (ESPON Climate project)", "restApi": null, "label": 62, "associatedResources": null, "sdiUseLimitation": "No conditions apply", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": null, "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4beb1475-7488-4fac-b82b-920600a8cf28", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "e6fe540a76d09ce4acff2346a810e09c00f6cb74", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": null, "contactOrganisation": null, "distributionFormat": "unknown", "sdiElon": null, "lineage": "Calculated by comparing the LISFLOOD model's 1961 - 1990 and 2071 - 2100 projections for a 100 year return event based on climate projections by the CCLM model for the IPCC SRES A1B scenario.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2071, "tend": 2100, "abstract": "Inundation depth changes due to climate induced changes in river flooding. 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Regional sensitivities calculated on the basis of most recent statistical data.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Combined sensitivity to climate change of cultural World Heritage sites and museums. 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These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool \u201cFeature to Polygon\u201d.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive.\n\nThis dataset is a polygon usable as a water-land mask.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6060e5ce-6958-48a0-9815-8f806c807351", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6060e5ce-6958-48a0-9815-8f806c807351.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (line) - version 1.0, Jun. 2013", "restApi": null, "label": 83, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6060e5ce-6958-48a0-9815-8f806c807351", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-line_1995-2012_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Dissolve: in order to create a coastline of one single line, first a field is added to the parent dataset (coastline raw), and the same value is set for all the features; the feature class is then dissolved using that field", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive.\n\nThis dataset consists of one single line for the whole coastline.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "8c454b03-f804-4bcd-b496-ac859375fef8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c454b03-f804-4bcd-b496-ac859375fef8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for public access - version 11, Jul. 2013", "restApi": null, "label": 84, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c454b03-f804-4bcd-b496-ac859375fef8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2012_rev11", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA points for public access - version 11, Jul. 2013", "restApi": null, "label": 85, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-point-public_2012_rev11", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Estonia|Montenegro|Slovenia|Sweden|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.2, Sep. 2018", "restApi": null, "label": 86, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2010_i_2010-2018_v01_r02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\n\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nFor the relevant concepts please consult the metadata of the relevant child datasets.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "ce876c49-e1c8-446c-9133-ff04c17d2417", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce876c49-e1c8-446c-9133-ff04c17d2417.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (raw) - version 2.0, Jun. 2015", "restApi": null, "label": 87, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce876c49-e1c8-446c-9133-ff04c17d2417", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-raw_1995-2012_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The EEA coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "1c0f429b-debb-403c-a457-3eebcf5d3272", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c0f429b-debb-403c-a457-3eebcf5d3272.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for internal use - version 11, Jul. 2013", "restApi": null, "label": 88, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c0f429b-debb-403c-a457-3eebcf5d3272", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2012_rev11", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "c8d83fff-d35e-4bed-9afd-92e40ebe09d4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c8d83fff-d35e-4bed-9afd-92e40ebe09d4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "groundwater|monitoring station|surface water|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD monitoring sites reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 89, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c8d83fff-d35e-4bed-9afd-92e40ebe09d4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-monitoring-sites-wfd2016-public_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts:\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "3f046d90-bfdc-4801-b514-a00c48981e0e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f046d90-bfdc-4801-b514-a00c48981e0e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "monitoring station|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD surface water bodies reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 90, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f046d90-bfdc-4801-b514-a00c48981e0e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-surface-water-bodies-wfd2016-public_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \nLake: Body of standing inland surface water. \nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "543afa4c-ca30-423b-a0a5-0c9043485bf1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/543afa4c-ca30-423b-a0a5-0c9043485bf1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.2, Sep. 2018", "restApi": null, "label": 91, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/543afa4c-ca30-423b-a0a5-0c9043485bf1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2016_i_2016-2018_v01_r02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016).\nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nFor the relevant concepts please consult the metadata of the relevant child datasets.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "571e270d-4b42-45f2-a29a-84260f6df506", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/571e270d-4b42-45f2-a29a-84260f6df506.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Nationally designated areas (CDDA) polygons for internal use - version 16, Nov. 2018", "restApi": null, "label": 92, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/571e270d-4b42-45f2-a29a-84260f6df506", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly_i_2017-2018_v16_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Geopackage", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_v16_2018.pdf available together with the data set.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2017, "tend": 2018, "abstract": "The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\n\nThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom.\n\nTwo versions of the dataset are provided. The \"CDDA_2018_v01_internal_EuropeEPSG3035\" version includes only continental Europe, i.e. excludes the overseas entities. The full dataset (\"CDDA_2018_v01_internal\") includes the entire geographical coverage including nationally designated areas in overseas entities. Both versions are provided in GDB and GPKG formats.\n\nNOTE: EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Therefore, this data set is available only for internal use of the European Environment Agency. The public version dataset is available with the title \"Nationally designated areas (CDDA) polygons for public access - version 16, Nov. 2018\", which is derived from this dataset.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-14" }, { "sdiUuid": "534b663d-8724-44c7-97ae-d33746207ce6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/534b663d-8724-44c7-97ae-d33746207ce6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for internal use - version 12, Oct. 2014", "restApi": null, "label": 93, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/534b663d-8724-44c7-97ae-d33746207ce6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2013_rev12", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_12.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2014, "abstract": "Some features are missing from this dataset that should therefore not be used. An updated version has been released on 20/11/2014.\n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n\nThe Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "3d560854-4b19-414d-9dba-cd58b9c231ba", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3d560854-4b19-414d-9dba-cd58b9c231ba.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD surface water bodies reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 94, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3d560854-4b19-414d-9dba-cd58b9c231ba", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-surface-water-bodies-wfd2010-public_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nRelevant concepts: \n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \nLake: Body of standing inland surface water. \nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "4cd9d1d5-2c86-4475-ac8d-7913594e4cde", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Ground Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4cd9d1d5-2c86-4475-ac8d-7913594e4cde.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD groundwater bodies reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 95, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4cd9d1d5-2c86-4475-ac8d-7913594e4cde", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-groundwater-bodies-wfd2010-public_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\nThis dataset updates the information published in \"WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012\" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07) \n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "c721adec-aae3-49f6-aecc-09368bfb7b8a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c721adec-aae3-49f6-aecc-09368bfb7b8a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for internal use - version 12 revision 1, Nov. 2014", "restApi": null, "label": 96, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c721adec-aae3-49f6-aecc-09368bfb7b8a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2013_rev12-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_12.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2014, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey.\n\nCopyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: \"Estonian Environmental Register 25.02.2014\u201d. For Finland: \"\u00a9Finnish Environment Institute, 2014\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "53c161cf-235b-4647-9200-446b60c5f59c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53c161cf-235b-4647-9200-446b60c5f59c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for internal use - version 15, Sept. 2017", "restApi": null, "label": 97, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2017; \"\u00a9Finnish Environment Institute, 2017\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53c161cf-235b-4647-9200-446b60c5f59c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2017_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_15.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\n\nEEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2017; \"\u00a9Finnish Environment Institute, 2017\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "85a07445-0031-4e56-a7e2-d268d2af058f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a07445-0031-4e56-a7e2-d268d2af058f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin districts reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 98, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/85a07445-0031-4e56-a7e2-d268d2af058f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-river-basin-districts-wfd2010-public_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European river basin districts delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\nThis dataset updates the information published in \"WISE River basin districts (RBD) - version 1.4, Jun. 2011\" (http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c) \n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "72d1276b-d390-4e14-ad09-dcc796ec0677", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/72d1276b-d390-4e14-ad09-dcc796ec0677.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin district sub-units reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 99, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72d1276b-d390-4e14-ad09-dcc796ec0677", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-sub-units-wfd2010-public_20070311-20170630_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2007, "tend": 2017, "abstract": "The dataset contains information on the European river basin district sub-units delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe spatial data reported under the WFD reporting obligations includes river basin districts, sub-units, surface water bodies, groundwater bodies and monitoring sites.\n\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\n\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nThis dataset updates the information published in \"WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011\" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf).\n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \n\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \n\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \n\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "3d8d581f-28ed-4611-a811-dbbdf31e74cc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3d8d581f-28ed-4611-a811-dbbdf31e74cc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin districts reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 100, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3d8d581f-28ed-4611-a811-dbbdf31e74cc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-river-basin-districts-wfd2016-public_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European river basin districts delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "d9ecde45-9e59-47de-a61d-69cc9f41d04c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e47ccfcf-5ae6-4541-bd4e-efe99c73be82.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for internal use - version 14, Dec. 2016", "restApi": null, "label": 101, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2016; \"\u00a9Finnish Environment Institute, 2016\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9ecde45-9e59-47de-a61d-69cc9f41d04c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2015_rev14-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_14.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2015, "tend": 2016, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom.\n\nEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2016; \"\u00a9Finnish Environment Institute, 2016\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8f74e086-3bb0-4bcb-82b0-f3136f74b19e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|River Basin", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f74e086-3bb0-4bcb-82b0-f3136f74b19e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "river basin|river basin management|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD river basin district sub-units reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 102, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f74e086-3bb0-4bcb-82b0-f3136f74b19e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-sub-units-wfd2016-public_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European river basin district sub-units delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. \nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "8a42ea63-a9d2-413d-9e48-730a6824b000", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|WFD Ground Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a42ea63-a9d2-413d-9e48-730a6824b000.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD groundwater bodies reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 103, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a42ea63-a9d2-413d-9e48-730a6824b000", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-groundwater-bodies-wfd2016-public_20160505-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nRefer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2017, "abstract": "The dataset contains information on the European groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "2d0c4aad-85ee-476e-b58e-8a89cd3d5430", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d0c4aad-85ee-476e-b58e-8a89cd3d5430.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA points for internal use - version 11, Jul. 2013", "restApi": null, "label": 104, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d0c4aad-85ee-476e-b58e-8a89cd3d5430", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-point-internal_2012_rev11", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2012, "tend": 2013, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey.\n\nCopyright is to be mentioned for Estonia: \"Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee\"; and for Finland: \"\u00a9Finnish Environment Institute, 2012\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Estonia|Montenegro|Slovenia|Sweden|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "73a2ddf6-cad4-4d2e-aed7-49a42555d01f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/73a2ddf6-cad4-4d2e-aed7-49a42555d01f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "groundwater|monitoring station|surface water|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD monitoring sites reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017", "restApi": null, "label": 105, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/73a2ddf6-cad4-4d2e-aed7-49a42555d01f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-monitoring-sites-wfd2010-public_20100319-20170629_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report which accompanies the data set the full list of CDR data sets.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2017, "abstract": "The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 1st River Basin Management Plans (RBMP). \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nRelevant concepts:\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers.\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "94c5c72e-29dd-4e3e-a721-a2552d50f497", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94c5c72e-29dd-4e3e-a721-a2552d50f497.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration|tree", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density 2012 (raster 100m), Mar. 2016", "restApi": null, "label": 106, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94c5c72e-29dd-4e3e-a721-a2552d50f497", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_tcd_2011-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided High Resolution satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Tree Cover Density (TCD) 2012 is a European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. Copernicus Initial Operations 2011-2013 Land Monitoring Services European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. The TCD maps the degree (0-100% per pixel) of tree cover density without a minimum mapping unit (MMU), but with a minimum mapping width (MMW) of 20m. The included features are:\n\n1) Evergreen/non-evergreen broad-leaved, sclerophyllous and coniferous trees;\n\n2) Orchards, olive groves, fruit and other tree plantations, agro-forestry areas, forest nurseries, regeneration and transitional woodlands;\n\n3) Alleys, wooded parks and gardens;\n\n4) Groups of trees within urban areas;\n\n5) Forest management/use features inside forests (forest roads, fire-breaks, thinning, etc.) and forest damage features inside forests (partially burnt areas, storm damage, insect-infested damage, etc.) are included if tree cover can be detected from the 20m imagery.\n\nAccordingly, included features are all detectable trees, independent of use. The calibration of the TCD values is being improved as part of the 2015 production, and the 2012 TCD status layer will be updated and replaced by a new version to be published in early 2018 (together with the 2015 status layer, and a new 2012-2015 change product).\n\nThe production of the Tree Cover Density (TCD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Geographical names|Hydrography|Land cover|Sea regions|Soil|Transport networks|Utility and governmental services", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/313c0c3a-c177-4198-a7de-09b7f6ac3a9d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|railway station|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|water body|waterfall|waterway", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap (full European coverage) - version 10.0, Jan. 2017", "restApi": null, "label": 107, "associatedResources": null, "sdiUseLimitation": "License for further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/313c0c3a-c177-4198-a7de-09b7f6ac3a9d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_250_k_erm-europe_i_2016_v10_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "ERM(EC)_v10.0_Lineage_FullEurope.doc", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. \n\nThematic layers: \nAdministrative Boundaries\nHydrography\nMiscellaneous\nNamed Location\nSettlement\nTransportation\nVegetation and Soil\nPoints of Interests", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Andorra|EFTA4|EU27|Faeroe Islands|Georgia|Isle of Man|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Vatican", "publicationDate": "2019-06-04" }, { "sdiUuid": "bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|national boundary|sub-national boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap - version 11, Jan. 2017", "restApi": null, "label": 108, "associatedResources": null, "sdiUseLimitation": "License For further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm_i_2016_v11_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Please refer to the documents EBM_v11_QualityReport.pdf and EBM_v11_Changes.pdf under EuroBoundaryMap_v11/Descriptions_Metadata", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\n\nThe product EBM v11 is a full update of all countries. \nMore details are available in EBM_v11_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EFTA4|EU28|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine", "publicationDate": "2019-06-04" }, { "sdiUuid": "802300f9-4b37-41e3-8990-813ce01a3fb3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Geographical names|Population distribution \u2014 demography|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/802300f9-4b37-41e3-8990-813ce01a3fb3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|national boundary|sub-national boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap - version 12, Jan. 2018", "restApi": null, "label": 109, "associatedResources": null, "sdiUseLimitation": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data.For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/802300f9-4b37-41e3-8990-813ce01a3fb3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm_i_2017_v12_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "Delivered separately for each national contribution. Please refer to the documents \"XX_Lineage_EBM_v12.pdf\" (where XX is the country acronym), stored under each corresponding country folder in \"Descriptions_Metadata.zip\" provided together with the dataset.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\nThis metadata refers to the version 12 of EBM, which is a full update of all the countries. For more information about the data product specifications and changes with respect to the previous version of this dataset (EBM v11), please refer to the documents EBM_v12_Specification.pdf, EBM_v12_TechnicalGuide.pdf and EBM_v12_Changes.pdf provided with the dataset (Documents.zip)\nThis dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the \"Resource Constraints\" elements of this metadata file and on the document \"LicenseConditions.pdf\" provided with this dataset.\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset (\"Metadata_EBM_v12.xml\" within the \"Descriptions_Metadata.zip\")", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EFTA4|EU28|Europe|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine", "publicationDate": "2019-06-04" }, { "sdiUuid": "85a5772c-d86c-4d39-bb0a-6140a8486a1b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Hydrography|Population distribution \u2014 demography|Sea regions|Soil|Transport networks", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a5772c-d86c-4d39-bb0a-6140a8486a1b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|airport|artificial lake|built environment|built-up area|car park|coast|dam|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|in situ|inland water|international watercourse|lake|maritime transport|national boundary|railway|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|vegetation|water (geographic)|water body|waterfall|waterway", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap (full European coverage) - version 9.0, Jan. 2016", "restApi": null, "label": 110, "associatedResources": null, "sdiUseLimitation": "Please refer to the documents GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf and Data_Request_Form_EuroGeographics.doc under ERM9/Licence.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/85a5772c-d86c-4d39-bb0a-6140a8486a1b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_250_k_erm-europe_i_2015_v09_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "See ERM(EC)_v90_Lineage.doc", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroRegionalMap v9.0 is a pan-European dataset containing topographic information at the scale 1:250 000 covering: 27 EU member states (excluding Croatia), 4 EFTA states (Liechtenstein, Norway, Iceland, Switzerland), Republic of Moldova, Serbia, Kosovo and Georgia. It is a seamless and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\n\nThematic layers: \nAdministrative Boundaries,\nHydrography,\nSettlements,\nTransport,\nPoints of Interests,\nNamed Location,\nMiscellaneous,\nVegetation and \nSoil.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Andorra|Bosnia and Herzegovina|EFTA4|EU27|Georgia|Kosovo|Moldova|Monaco|Montenegro|North Macedonia|Serbia", "publicationDate": "2019-06-04" }, { "sdiUuid": "39e6a1fb-5217-4e22-ab2e-68d50d11faeb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/39e6a1fb-5217-4e22-ab2e-68d50d11faeb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "demography|population density|population distribution", "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database - version 15, Jul. 2014", "restApi": null, "label": 111, "associatedResources": null, "sdiUseLimitation": "License. Terms and conditions of use are available in the file License.pdf", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39e6a1fb-5217-4e22-ab2e-68d50d11faeb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ornl_g_4326_30_arcsec_landscan_2013_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": null, "distributionFormat": "AIG", "sdiElon": null, "lineage": "Detailed information are to be found in cover_letter_ls13.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2013.htm.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Using an innovative approach with Geographic Information Systems and Remote Sensing, ORNL\u2019s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available and represents an \u201cambient population\u201d (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region.\n\nPurpose: LandScan Global was developed for the U.S. Department of Defense and is used for rapid consequence and risk assessment as well as emergency planning and management.\n\nDetailed information are to be found in cover_letter_ls13.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "completed", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Global|Population|Population count|people|world-wide|World", "publicationDate": "2019-06-04" }, { "sdiUuid": "42a795d9-a082-4269-9f7c-0002d4bd9a4a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/42a795d9-a082-4269-9f7c-0002d4bd9a4a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Hungary - Kecskem\u00e9t", "restApi": null, "label": 112, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42a795d9-a082-4269-9f7c-0002d4bd9a4a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32634_10_k_urban-atlas-hu008l_kecskemet_2006-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 50752550707310949121B0 (PS) (Date: 2007/07/31) \n * Spot 5 2,50 m - 50772550607070932512B3 (PS) (Date: 2006/07/07)", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hungary|Kecskem\u00e9t", "publicationDate": "2019-06-04" }, { "sdiUuid": "bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Poland - Radom", "restApi": null, "label": 113, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32634_10_k_urban-atlas-pl025l_radom_2005", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 00186394006 (PS) (Date: 2005/09/09) \n * Spot 5 2,50 m - 00186394007 (PS) (Date: 2005/09/09) \n * Spot 5 2,50 m - 00186394008 (PS) (Date: 2005/09/19)", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Poland|Radom", "publicationDate": "2019-06-04" }, { "sdiUuid": "bd214bd1-f3bc-4369-899b-bda331b94432", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd214bd1-f3bc-4369-899b-bda331b94432.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "statistical information system", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Nomenclature of Territorial Units for Statistics 2016 (NUTS) - PRE-RELEASE VERSION, Jan. 2018", "restApi": null, "label": 114, "associatedResources": null, "sdiUseLimitation": "The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd214bd1-f3bc-4369-899b-bda331b94432", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_100_k_gisco-nuts_2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "This dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels (1M, 3M, 10M, 20M, 60M, here not provided) were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level. In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2016.\nThis metadata only refers to a pre-release version of the full nuts 2016 dataset at 100k (it does not contain Albanian boundaries) and shall only be used internally by the EEA following the conditions stated in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2016.xml) is also available for download together with the dataset.\nThe public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "EFTA4|EU28|Montenegro|North Macedonia|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "a89237bb-cc29-4cbb-81a6-b009d072da70", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a89237bb-cc29-4cbb-81a6-b009d072da70.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Netherlands - Nijmegen", "restApi": null, "label": 115, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a89237bb-cc29-4cbb-81a6-b009d072da70", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32631_10_k_urban-atlas-nl013l_nijmegen", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Compiled from thousands of pictures from European satellites, Urban Atlas provides sufficient coverage for detailed and cost-effective mapping of larger urban zones, yielding accurate land cover and usage data. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments. More than 300 major cities in the EU will be covered by early 2011. More details can be found in the Mapping Guide (see website).", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Netherlands|Nijmegen", "publicationDate": "2019-06-04" }, { "sdiUuid": "61e01978-57d2-41fe-907f-503b5567f979", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61e01978-57d2-41fe-907f-503b5567f979.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "biodiversity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Biogeographical regions, Europe 2011, rev. 1", "restApi": null, "label": 116, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61e01978-57d2-41fe-907f-503b5567f979", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_biogeo-regions_2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\n\nImproved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\n\nThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are poorer, i.e. 1:10 000 000.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\n\nThe structure of the attribute table has been changed in this revised version.\nThe mapping from old field names to new ones is as follows:\n NAME -> short_name\n ABBRE -> pre_2012\n code -> code\n label -> name", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Bio-geographical regions", "publicationDate": "2019-06-04" }, { "sdiUuid": "d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for public access - version 13, Nov. 2015", "restApi": null, "label": 117, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 02.03.2015\"; \"\u00a9Finnish Environment Institute, 2015\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-10", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2014_rev13-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process of the internal version is explained in the document CDDA_version_13.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 02.03.2015\"; \"\u00a9Finnish Environment Institute, 2015\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Protected sites|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "47142840-45c7-4e23-a497-c6fc4fd84a48", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/47142840-45c7-4e23-a497-c6fc4fd84a48.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (raw) - version 1.0, Jun. 2013", "restApi": null, "label": 118, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47142840-45c7-4e23-a497-c6fc4fd84a48", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-raw_1995-2012_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the required extension of EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. For that reason the the GSHHG dataset is an input for the process which allow to populate the EUHYDRO shapefile.\n\nThe creation process was focused on generate the coastline as line datasets and, later, as secondary product, defining the polygon layer sea-land. Thank reiterative processes based on conversion (from water mask of EUHYDRO to polygon), selection, dissolving and conversion (to line) tools, it was possible to obtain a continuous and homogeneous coastline. The fundamental step into the workflow was the selection of sea features using the water mask polygon (with 255 value into EUHYDRO datasets). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies).\n\nThe patchwork coastline has been subjected to quality assessment based on evaluate the degree of coverage and topological errors.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. This dataset consists of a series of contiguous coastal segments. The source of each of them (EUDEM, GSHHG...) is available as attribute.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe|Sea regions", "publicationDate": "2019-06-04" }, { "sdiUuid": "7e98455f-8bcd-4162-85ed-2770c28112b3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e98455f-8bcd-4162-85ed-2770c28112b3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for public access - version 14, Dec. 2016", "restApi": null, "label": 119, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2016; \"\u00a9Finnish Environment Institute, 2016\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-11", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e98455f-8bcd-4162-85ed-2770c28112b3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2015_rev14-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_14.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA).\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity.\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\n\nEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 01.01.2016; \"\u00a9Finnish Environment Institute, 2016\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites|Albania|Bosnia and Herzegovina|EU28|Iceland|Kosovo|Liechtenstein|Montenegro|North Macedonia|Norway|Serbia|Switzerland", "publicationDate": "2019-06-04" }, { "sdiUuid": "548f9a25-2488-4d86-949e-0a286515eba8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/548f9a25-2488-4d86-949e-0a286515eba8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Zones in relation to EU air quality thresholds in 2010 - version 1, August 2012", "restApi": null, "label": 120, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/zones-in-relation-to-eu-air-quality-thresholds-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/548f9a25-2488-4d86-949e-0a286515eba8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_1_mio_zones-aq-thresholds_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Spatialite", "sdiElon": null, "lineage": "Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\n\t\t\t\t Data is reported under Annual report (questionnaire) on air quality assessment and management (2004/461/EC) [http://rod.eionet.europa.eu/obligations/389]\n\t\t\t\t National deliveries can be found at http://cdr.eionet.europa.eu/recent_etc?RA_ID=389 ETC-ACM assembles the European dataset from them. Feedback to countries following QA can be seen at the same location.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Member States provide an annual assessment of air quality in comparison to EU air quality thresholds.\n\t\t\tCommission Decision 2004/461/EC provides a questionnaire to be used by the Member States for the annual reporting under the Framework Directive and the related four Daughter Directives 1999/30/EC, 2000/69/EC, 2002/3/EC and 2004/107/EC. Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\n\nMore information about EU air quality standards is available on the DG Environment web site at http://ec.europa.eu/environment/air/quality/standards.htm.\n\nPursuant to Article 22 of Directive 2008/50/EC, Member States may notify to the Commission when in their opinion the conditions are met in a given zone or agglomeration for postponing the attainment deadline for the limit values for nitrogen dioxide and benzene, or for being exempt from the limit values for PM10. More information is available at: http://ec.europa.eu/environment/air/quality/legislation/time_extensions.htm .\n\nAdditional information is available in The annual technical overview and analysis of the reports submitted by Member States (http://acm.eionet.europa.eu/databases/aq-questionnaire/annual_reports_aqq.html).\n\n\nZones are designated for the following pollutants:\n B \u2013 Benzene;\n BaP \u2013 Benzo(a)pyrene;\n C \u2013 Carbon Monoxide;\n L \u2013 lead;\n AsCdNi \u2013 Heavy metals: Arsenic, Cadmium, Nickel;\n NH \u2013 Nitrogen Dioxide for human protection;\n NV \u2013 NOx for vegetation protection;\n O \u2013 ozone;\n PM10 \u2013 particulate matter less than 10 microgrammes;\n PM25 \u2013 particulate matter less than 2.5 microgrammes;\n SE \u2013 SO2 for ecosystems protection;\n SH \u2013 SO2 for human protection.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units", "publicationDate": "2019-06-04" }, { "sdiUuid": "0c989ad0-0613-4383-95fa-c06c0266e0fb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c989ad0-0613-4383-95fa-c06c0266e0fb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (line) - version 2.0, Sep. 2015", "restApi": null, "label": 121, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c989ad0-0613-4383-95fa-c06c0266e0fb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-line_1995-2012_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Dissolve: in order to create a coastline of one single line, first a field is added to the parent dataset (coastline raw), and the same value is set for all the features; the feature class is then dissolved using that field", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).\n\nThis dataset consists of one single line for the whole coastline.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe|Sea regions", "publicationDate": "2019-06-04" }, { "sdiUuid": "b9f13118-4ef4-4ffd-9c95-4e902477edb2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9f13118-4ef4-4ffd-9c95-4e902477edb2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound", "sdiCentroidLon": null, "temporalCoverage": null, "title": "AirBase: Validated measurements of the concentration of air pollutants 1969-2010 - version 6, Feb. 2012", "restApi": null, "label": 122, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9f13118-4ef4-4ffd-9c95-4e902477edb2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_10_k_airbase-validated-meas_1969-2010_rev6", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "- Countries deliver to Reportnet/CDR.\n- ETC runs standard checks and provides feedback in CDR.\n- Countries possibly redeliver.\n- ETC compiles a European dataset and delivers it to EEA.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "AirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe.\nThe air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements.\nThe database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe.\n\nAll pollutants might not be monitored at all stations.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "a7a50c4e-dd45-40a7-9445-95e8f76ad90a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a7a50c4e-dd45-40a7-9445-95e8f76ad90a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (polygon) - version 2.0, Sep. 2015", "restApi": null, "label": 123, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a7a50c4e-dd45-40a7-9445-95e8f76ad90a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-poly_1995-2012_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Polygon: the polygon was derived from the parent dataset by adding two straight lines, one North-to-South, at the East-most part of the parent dataset, and the second one West-to-East, at the South\u2013most part of the parent dataset. These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool \u201cFeature to Polygon\u201d.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).\n\nThis dataset is a polygon usable as a water-land mask.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe|Sea regions", "publicationDate": "2019-06-04" }, { "sdiUuid": "cc27629a-351c-460f-9c99-12ef57774d4e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc27629a-351c-460f-9c99-12ef57774d4e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound", "sdiCentroidLon": null, "temporalCoverage": null, "title": "AirBase: Validated measurements of the concentration of air pollutants 1969-2011 - version 7, Mar. 2013", "restApi": null, "label": 124, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc27629a-351c-460f-9c99-12ef57774d4e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_10_k_airbase-validated-meas_1969-2011_rev7", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "- Countries deliver to Reportnet/CDR.\n- ETC runs standard checks and provides feedback in CDR.\n- Countries possibly redeliver.\n- ETC compiles a European dataset and delivers it to EEA.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "AirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe.\nThe air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements.\nThe database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe.\n\n\nAll pollutants might not be monitored at all stations.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "e47ccfcf-5ae6-4541-bd4e-efe99c73be82", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e47ccfcf-5ae6-4541-bd4e-efe99c73be82.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CDDA polygons for internal use - version 13, Nov. 2015", "restApi": null, "label": 125, "associatedResources": null, "sdiUseLimitation": "EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 02.03.2015\"; \"\u00a9Finnish Environment Institute, 2015\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e47ccfcf-5ae6-4541-bd4e-efe99c73be82", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly_internal_2014_rev13-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Production process is explained in the document CDDA_version_13.pdf available together with the data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey.\n\nWhen re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: \"Estonian Environmental Register 02.03.2015\"; \"\u00a9Finnish Environment Institute, 2015\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Protected sites|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "a2cd6c53-100d-481a-90d0-cb8077362e51", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2cd6c53-100d-481a-90d0-cb8077362e51.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound", "sdiCentroidLon": null, "temporalCoverage": null, "title": "AirBase: Validated measurements of the concentration of air pollutants 1969-2012 - version 8, Mar. 2014", "restApi": null, "label": 126, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2cd6c53-100d-481a-90d0-cb8077362e51", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_10_k_airbase-validated-meas_1969-2012_rev8", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "- Countries deliver to Reportnet/CDR.\n- ETC runs standard checks and provides feedback in CDR.\n- Countries possibly redeliver.\n- ETC compiles a European dataset and delivers it to EEA.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "AirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe.\nThe air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements.\nThe database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe.\n\n\nAll pollutants might not be monitored at all stations.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "1982384c-d6fb-42dd-92e7-408bd88b783c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1982384c-d6fb-42dd-92e7-408bd88b783c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "marine environment|sea", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Surrounding seas of Europe - PRE-RELEASE VERSION, Feb. 2017", "restApi": null, "label": 127, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1982384c-d6fb-42dd-92e7-408bd88b783c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_Europe-seas_i_2010-2017_v00_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The present layer provides the spatial extent of the regions and subregions defined under the MSFD, together with the delineation of other relevant seas surrounding Europe.\n\nThe delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\nThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\n\nTherefore, since it includes the delineation of marine regions and subregions agreed under the MSFD, the present layer should take into account the following:\na.The marine regions and subregions defined under the MSFD are intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\nb. The present layer provides boundaries of the marine regions and subregions as listed in MSFD Article 4, together with the delineation of other relevant seas surrounding Europe.\nc. The layer is not intended to provide boundaries of the marine waters of Member States. This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\nd. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: \"This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.\".\ne. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\nf. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, the layer should be updated.\ng. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the MSFD marine regions and subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\n\nFinally, the following notes are relevant for the understanding of the layer:\n- The area with inspireId \"EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_ACSo_1\" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course.\n-The area with inspireId \"EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_na_1\" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area.\n-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them.\n\nThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which two are further divided into four subregions each. Apart of these, other relevant seas are also surrounding Europe. The present layer provides the spatial extent of the Europe seas, including those regions and subregions mentioned in the MSFD.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units|Sea regions|Baltic Sea|Barents Sea|Black Sea|Iceland Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)|Norwegian Sea|White Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "bb026039-3d92-4b46-aab4-4862de0ddb8a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb026039-3d92-4b46-aab4-4862de0ddb8a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - version 2015, Mar. 2016", "restApi": null, "label": 128, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/natura-7", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb026039-3d92-4b46-aab4-4862de0ddb8a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2015", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n\nThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\n\nThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, has developed a quality control process that identifies potential inconsistencies in the national reports.\n\nThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\n\nAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\n\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n\nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes|Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "5e884531-3b0e-4643-af14-ae6281d6fb24", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5e884531-3b0e-4643-af14-ae6281d6fb24.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "biodiversity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Biogeographical regions, Europe 2011", "restApi": null, "label": 129, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e884531-3b0e-4643-af14-ae6281d6fb24", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_biogeo-regions_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\n\nImproved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\n\nThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are poorer, i.e. 1:10 000 000.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Bio-geographical regions", "publicationDate": "2019-06-04" }, { "sdiUuid": "465c6af4-7a30-43de-98e5-90ebe7e816c4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/465c6af4-7a30-43de-98e5-90ebe7e816c4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - version 2013-1, Sep. 2014", "restApi": null, "label": 130, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/natura-5", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/465c6af4-7a30-43de-98e5-90ebe7e816c4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2013_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.\n\nThis version corrects some features over Luxembourg which were shifted in the previous release of this data set.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive.\n\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n \nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database .\n \nThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released. However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated.\n \nThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\n \nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n \nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n \nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes|Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "66fa7dca-8772-4a5d-9d56-2caba4ecd36a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/66fa7dca-8772-4a5d-9d56-2caba4ecd36a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "DEM over Europe from the GMES RDA project (EU-DEM, resolution 25m) - version 1, Oct. 2013", "restApi": null, "label": 131, "associatedResources": null, "sdiUseLimitation": "Access to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information.\nThe following credit must be displayed when using these data: Data funded under GMES preparatory action 2009 on Reference Data Access by the European Commission, DG Enterprise and Industry.\n\nAccess and use of the data is made on the conditions that:\n1. When distributing or communicating Copernicus data and information to the public, users shall inform the public of the source of that data and information.\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n3. Where that data or information has been adapted or modified, the user shall clearly state this.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eu-dem", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/66fa7dca-8772-4a5d-9d56-2caba4ecd36a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_25_m_gsgrda-eudem-dem-europe_2012_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra. Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 metre. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset divided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. These tiles have then been aggregated into 5\u00b0x5\u00b0 tiles which have been projected to ETRS89-LAEA by JRC. The resulting tiles (1000x1000km) are made available as well as a mosaic of them.\nThe vertical unit of this DSM is metre.\nThe tiles are provided as GeoTIFF with LZW compression.\nThe mosaic is provided as GeoTIFF with DEFLATE compression.\nOwnership of EU-DEM belongs to European Commission, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "01c9d364-6c84-4b3f-8feb-1b99eff56e07", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/01c9d364-6c84-4b3f-8feb-1b99eff56e07.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 132, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_xxx_1_mio_wise-gbd-public_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Spatial data of GWBs was delivered by MS in a shape format, whereas many MS stored the data in separate shape files for River Basin Districts (RBD) or horizons or both. The attribute tables of the provided shape files always implied the mandatory fields of GWB code named \u201cEU_CD_GW\u201d and GWB horizon partially accompanied by varying extra columns defined by the Member States.\nAll GWBs had been merged into separate shape files according to their affiliation to horizons, but with extra shapes for Reunion and Switzerland. The attribute tables of these shape files exclusively adopt the fields \u201cEU_CD_GW\u201d and GWB. Because the GWB identifier \u201cEU_CD_GW\u201d is not unique for the polygons an artificial polygon identifier \u201cPolygon_ID\u201d is appended to the attribute table.\nThe linking between the shape files and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes deriving from the WFD reporting via XML files, has to be carried out using the column EU_CD_GW as key for joining the tables.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "A Groundwater Body (GWB) under the Water Framework Directive (WFD) Art. 2 is defined as a distinct volume of groundwater within an aquifer or aquifers, whereas an aquifer is defined as a geological layer with significant groundwater flow. This definition of a GWB allows a wide scope of interpretations.\nEU Member States (MS) are under obligation to report the GWBs including the results of the GWB survey periodically according to the schedule of the WFD. Reportnet is used for the submission of GWB data to the EEA by MS and includes spatial data as GIS polygons and GWB characteristics in an XML schema. \nThe WISE provisional reference GIS WFD Dataset on GWBs combines spatial data consisting of several shape files and certain GWB attributes in a single table submitted by the MS according to Art. 13. The GWBs are divided into horizons, which represent distinct vertical layers of groundwater resources. All GWBs assigned to a certain horizon from one to five are merged into one shape file. GWBs assigned to horizons six or seven are combined in a single further shape file. Another two shape files comprise the GWBs of Reunion Island in the southern hemisphere and the GWBs from Switzerland as a non EU MS, all of which assigned to horizon 1.\n\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1 : 10,000 to 1 : 1,000,000 and mostly in the range from 1 : 50,000 to 1 : 250,000.\nThe processing of some of the GWB shape files by GIS routines as clip or intersect in combination with a test polygon resulted in errors. Therefore a correction of erroneous topological features causing routine failures was carried out.\nHowever, the GWB layer includes a multitude of in parts very tiny, distinct areas resulting in a highly detailed or fragmented pattern. In certain parts topological inconsistencies appear quite frequently and delineation methodologies are currently varying between the MS in terms of size and three dimensional positioning of GWBs.\nThis version of the dataset has to be considered as a first step towards a consistent GWB picture throughout Europe, but it is not yet of a sufficient quality to support spatial analyses i.e. it is not a fully developed reference GIS dataset. Therefore, the layer is published as a preliminary version and use of this data is subject to certain restrictions outlined in the explanatory notes. \n\nIt should be underlined that the methodology used is still under discussion (Working Group C -Groundwater) and is not fully harmonised throughout the EU MS. \n\nFor the external publication the whole United Kingdom had to be removed due to licensing restrictions.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "1e6413e5-718f-484c-84d0-5d02257362a3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e6413e5-718f-484c-84d0-5d02257362a3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|dust|smog|smoke|transboundary pollution", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of concentration of particulate matter less than 2.5\u03bcg (PM2.5) for the current year", "restApi": null, "label": 133, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e6413e5-718f-484c-84d0-5d02257362a3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-pm2-5", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Near real time concentration of PM2.5 measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|sulphur dioxide|transboundary pollution", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of sulphur dioxide (SO2) concentration for the current year", "restApi": null, "label": 134, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-so2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Near real time sulphur dioxide (SO2) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "1adfc74f-65d1-4ec6-96cf-05cd8a62d797", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|benzene|troposphere|volatile organic compound", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of benzene (C6H6) concentration for the current year", "restApi": null, "label": 135, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1adfc74f-65d1-4ec6-96cf-05cd8a62d797", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-benzene", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Near real time benzene concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "74944b72-67c4-45a5-b4b4-24a791604665", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74944b72-67c4-45a5-b4b4-24a791604665.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Digital Elevation Model over the Caribbean from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013", "restApi": null, "label": 136, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\n\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\n\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\n\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74944b72-67c4-45a5-b4b4-24a791604665", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "entr_r_4326_1_arcsec_gsgrda-eudem-caribbean_2012_rev0-5", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0002777777778deg", "contactOrganisation": "European Commission, DG Enterprise and Industry", "distributionFormat": "HFA", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "cd71afc9-4490-4cef-8008-43456970bd51", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cd71afc9-4490-4cef-8008-43456970bd51.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2009 (raster 20m), Aug. 2013", "restApi": null, "label": 137, "associatedResources": null, "sdiUseLimitation": "The 2009 \u201cdegree of soil sealing\u201d dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea europa.eu for any requests.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cd71afc9-4490-4cef-8008-43456970bd51", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2008-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Imperviousness Degree (IMD) 2009 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m spatial resolution for the 2009 reference year. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. 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This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. 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Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53bf5af3-bbed-423d-8ca9-6e8bd7f93786", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-pm10", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Near real time concentration of PM10 measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). 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The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "885799a4-5c57-4c38-9929-7f187728d7f2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/885799a4-5c57-4c38-9929-7f187728d7f2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2012 (raster 20m), Apr. 2016", "restApi": null, "label": 141, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/885799a4-5c57-4c38-9929-7f187728d7f2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2011-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of NDVI multispectral satellite data (derived from Image 2012). 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The 100m x 100m product is produced by updating the 2009 aggregated imperviousness layer by adding the aggregated 100m x 100m imperviousness change layer (2009-2012) to the latter. 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Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data. The change product nevertheless shows some inconsistencies in direct comparison with the 2009-2012 change product and should be used with care.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2009, "abstract": "Imperviousness Change (IMC) 2006-2009 is a 100m raster dataset showing change in imperviousness between 2006 and 2009 reference years. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). 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Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data. The change product nevertheless shows some inconsistencies in direct comparison with the 2009-2012 change product and should be used with care.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2009, "abstract": "Imperviousness Change (IMC) 2006-2009 is a 100m raster dataset showing change in imperviousness between 2006 and 2009 reference years. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). The product maps the degree of Imperviousness change (in 1-100%), or soil sealing and is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "1cbfa933-5112-41c0-b699-a1a2a90e8a37", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1cbfa933-5112-41c0-b699-a1a2a90e8a37.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Digital Elevation Model over the R\u00e9union from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013", "restApi": null, "label": 145, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\n\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\n\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\n\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1cbfa933-5112-41c0-b699-a1a2a90e8a37", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "entr_r_4326_1_arcsec_gsgrda-eudem-reunion_2012_rev0-5", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0002777777778deg", "contactOrganisation": "European Commission, DG Enterprise and Industry", "distributionFormat": "HFA", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "437c4900-f394-454c-81bd-c3f5a7cddddb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/437c4900-f394-454c-81bd-c3f5a7cddddb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration|tree", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density 2012 (raster 20m), Mar. 2016", "restApi": null, "label": 146, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/437c4900-f394-454c-81bd-c3f5a7cddddb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_tcd_2011-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided High Resolution satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2012, "abstract": "Tree Cover Density (TCD) 2012 is a European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. Copernicus Initial Operations 2011-2013 Land Monitoring Services European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. The TCD maps the degree (0-100% per pixel) of tree cover density without a minimum mapping unit (MMU), but with a minimum mapping width (MMW) of 20m. The included features are:\n\n1) Evergreen/non-evergreen broad-leaved, sclerophyllous and coniferous trees;\n\n2) Orchards, olive groves, fruit and other tree plantations, agro-forestry areas, forest nurseries, regeneration and transitional woodlands;\n\n3) Alleys, wooded parks and gardens;\n\n4) Groups of trees within urban areas;\n\n5) Forest management/use features inside forests (forest roads, fire-breaks, thinning, etc.) and forest damage features inside forests (partially burnt areas, storm damage, insect-infested damage, etc.) are included if tree cover can be detected from the 20m imagery.\n\nAccordingly, included features are all detectable trees, independent of use. The calibration of the TCD values is being improved as part of the 2015 production, and the 2012 TCD status layer will be updated and replaced by a new version to be published in early 2018 (together with the 2015 status layer, and a new 2012-2015 change product).\n\nThe production of the Tree Cover Density (TCD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "c0f90bc9-80ae-4117-920e-06fb4707469c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c0f90bc9-80ae-4117-920e-06fb4707469c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Digital Elevation Model over French Guiana from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013", "restApi": null, "label": 147, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\n\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\n\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\n\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f90bc9-80ae-4117-920e-06fb4707469c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "entr_r_4326_1_arcsec_gsgrda-eudem-guiana_2012_rev0-5", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0002777777778deg", "contactOrganisation": "European Commission, DG Enterprise and Industry", "distributionFormat": "HFA", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "70b3c678-563a-4574-9ec9-69764f4b255c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/70b3c678-563a-4574-9ec9-69764f4b255c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Copernicus Land - Imperviousness density 2012 over Europe (100m) - version 0.1, Aug. 2014", "restApi": null, "label": 148, "associatedResources": null, "sdiUseLimitation": "Access to data governed by Commission delegated regulation (EU) No 1159/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159]\n\nAlthough Regulation (EU) No 911/2010 is repealed by Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010, any measure adopted on the basis of Regulation (EU) No 911/2010 shall remain valid under Article 33 (2) of Regulation (EU) No 377/2014 [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2014.122.01.0044.01.ENG].\n\nWithout prejudice to the provisions contained in the Commission delegated regulation (EU) No 1159/13 (in particular under Chapters 2 and 3), free, full and open access to this data set is made on the conditions that:\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n3. Where that data or information has been adapted or modified, the user shall clearly state this.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/70b3c678-563a-4574-9ec9-69764f4b255c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copern_r_3035_100_m_imperviousness-density-europe_2012_rev0-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "1. Input data\nIntermediate (non-verified, non-enhanced) Imperviousness Density 2012 High Resolution Layer (HRL) at 20m spatial resolution.\n\n2. Spatial aggregation to 100m resolution\nThe mosaic in ENVI image format was processed by a stand alone C program written by Alan Steel (EEA MDI), in order to average the 20m pixel values to 100m spatial resolution, applying the following aggregation rules:\n >=13 pixels within 5*5 pixel block with valid sealing value?\n If Yes: \n assign average sealing degree (taking into account the valid pixels only) to the cell\n If No:\n frequency of No data (255) pixels >= unclassifiable (254) pixels?\n If Yes: assign \"no data (255)\" to the cell\n If No: assign \"unclassifiable (254)\" to the cell\n\n3. Saved as GeoTiff using gdal_translate", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2012, "tend": 2014, "abstract": "Built-up areas are characterized by the substitution of the original (semi-) natural cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually characterized by long cover duration. This high resolution imperviousness dataset was produced using automatic derivation based on calibrated NDVI . A per-pixel estimate of sealed soil is foreseen as the index for the degree of imperviousness (0-100%).\n\t\t\t\nClasses:\n\t0: Unsealed\n\t1-100: Degrees of Sealing / Imperviousness\n\t254: Unclassifiable (no satellite image available, or clouds, shadows, or snow)\n\t255: Outside area\n\t\nThis mosaic was produced on 07/08/14, using a ArcGIS 10.2.1 model from Imperviousness Density High Resolution Layers delivered to date. These HRLs are intermediate deliveries, meaning that they have not undergone verification and enhancement. They were produced by service providers for Copernicus GIO land, using IRS LISS-III, RapidEye and SPOT satellite image data as inputs.\n\n\nTwo colour palettes are provided:\n - for standalone use of the product (esri_colour_table_imperviousness_hrl_standalone_use.clr and qgis_colour_table_imperviousness_hrl_standalone_use.txt)\n - for combined use with other High Resolution Layers (esri_colour_table_imperviousness_hrl_combined_use.clr and qgis_colour_table_imperviousness_hrl_combined_use.txt)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Land cover|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "19a37cab-7542-4d20-b8ee-ed66f991cdf6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/19a37cab-7542-4d20-b8ee-ed66f991cdf6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2006 (raster 20m), Aug. 2013", "restApi": null, "label": 149, "associatedResources": null, "sdiUseLimitation": "The 2006 \u201cdegree of soil sealing\u201d dataset was produced in the frame of the FP7 project Geoland2, together with the 2009 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data-custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19a37cab-7542-4d20-b8ee-ed66f991cdf6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2006, "abstract": "Imperviousness Degree (IMD) 2006 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m spatial resolution for the 2006 reference year. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2009 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "2a16fabe-c0f3-4faa-9d99-38982bd3dc1a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a16fabe-c0f3-4faa-9d99-38982bd3dc1a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2012 (raster 100m), Apr. 2016", "restApi": null, "label": 150, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a16fabe-c0f3-4faa-9d99-38982bd3dc1a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imd_2011-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of NDVI multispectral satellite data (derived from Image 2012). Step-wise enhancement using CLC 2006/2012 and mitigation (cloud-/gap-filling) with additional EO data and subsequently final integration to a European mosaic.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2012, "abstract": "Imperviousness Degree (IMD) 2012 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m and 100m x 100m spatial resolution for the 2012 reference year. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). It is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index) and uses the previous Imperviousness Degree (MD) 2009 product. All NDVI images are calibrated with the Imperviousness 2009 data, and built-up change candidates are mapped. The 100m x 100m product is produced by updating the 2009 aggregated imperviousness layer by adding the aggregated 100m x 100m imperviousness change layer (2009-2012) to the latter. This way, consistency between the 100m x 100m imperviousness layers will be maintained.\n\nThe production of the Imperviousness Degree (IMD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "92a8eec5-43de-4cdc-9dc4-0781b488ca7a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92a8eec5-43de-4cdc-9dc4-0781b488ca7a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|nitrogen dioxide|transboundary pollution", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of nitrogen dioxide (NO2) concentration for the current year", "restApi": null, "label": 151, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92a8eec5-43de-4cdc-9dc4-0781b488ca7a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-no2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Near real time nitrogen dioxide (NO2) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "d051e24a-6816-4c10-93cb-cf1c336b8e51", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d051e24a-6816-4c10-93cb-cf1c336b8e51.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013", "restApi": null, "label": 152, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\n\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\n\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\n\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d051e24a-6816-4c10-93cb-cf1c336b8e51", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "entr_r_4326_1_arcsec_gsgrda-eudem-europe_2012_rev0-5", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0002777777778deg", "contactOrganisation": "European Commission, DG Enterprise and Industry", "distributionFormat": "HFA", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|nitrogen oxides|transboundary pollution", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of nitrogen oxides (NOx) concentration for the current year", "restApi": null, "label": 153, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-nox", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Near real time nitrogen oxides (NOx) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities", "publicationDate": "2019-06-04" }, { "sdiUuid": "f8de0241-52cd-428d-8203-360bad92ee10", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8de0241-52cd-428d-8203-360bad92ee10.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|carbon monoxide|troposphere", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of carbon monoxide (CO) concentration for the current year", "restApi": null, "label": 154, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8de0241-52cd-428d-8203-360bad92ee10", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-co", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Near real time carbon monoxide (CO) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "publicationDate": "2019-06-04" }, { "sdiUuid": "2b3cf08a-8d4b-4283-8fc3-616316798c1c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b3cf08a-8d4b-4283-8fc3-616316798c1c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Copernicus Land - Imperviousness density 2012 over Europe (20m) - version 0.1, Aug. 2014", "restApi": null, "label": 155, "associatedResources": null, "sdiUseLimitation": "Access to data governed by Commission delegated regulation (EU) No 1159/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159]\n\nAlthough Regulation (EU) No 911/2010 is repealed by Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010, any measure adopted on the basis of Regulation (EU) No 911/2010 shall remain valid under Article 33 (2) of Regulation (EU) No 377/2014 [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2014.122.01.0044.01.ENG].\n\nWithout prejudice to the provisions contained in the Commission delegated regulation (EU) No 1159/13 (in particular under Chapters 2 and 3), free, full and open access to this data set is made on the conditions that:\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n3. Where that data or information has been adapted or modified, the user shall clearly state this.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b3cf08a-8d4b-4283-8fc3-616316798c1c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copern_r_3035_20_m_imperviousness-density-europe_2012_rev0-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "1. Input data\nIntermediate (non-verified, non-enhanced) Imperviousness Density 2012 High Resolution Layer (HRL) at 20m spatial resolution.\nThese HRLs are full or partial country coverages delivered to date, accompanied by INSPIRE-compliant metadata. \nThey do not cover the entire EEA39, as not all HRLs have been delivered as of 31/07/14.\nThey are delivered via the GIO land Verification and Enhancement portal.\nThey are in natioanl projections.\n\n2. Re-projection\nThe input HRL data was re-projected to ETRS89 Labert Azimuth Equal Area (EPSG: 3035) using gdalwarp (version gdal-1.10.1).\nA table of Coordinate Reference System parameters for each country was used as input to this process.\n\n3. Mosaicking\nThe re-projected HRLs were mosaicked, using 255 as the transparent data value.\nThis was performed on duck.eea.dmz1 using an ArcGIS 10.2.1 model, producing the mosaic as an ArcGIS Geodatabase:\nV:\\SOURCES\\HighResolutuionLayers\\MosaicsDatasets\\Imperviousness_010714.gdb\n\n4. Saved as GeoTiff using gdal_translate", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2012, "tend": 2014, "abstract": "Built-up areas are characterized by the substitution of the original (semi-) natural cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually characterized by long cover duration. This high resolution imperviousness dataset was produced using automatic derivation based on calibrated NDVI . A per-pixel estimate of sealed soil is foreseen as the index for the degree of imperviousness (0-100%).\n\t\t\t\nClasses:\n\t0: Unsealed\n\t1-100: Degrees of Sealing / Imperviousness\n\t254: Unclassifiable (no satellite image available, or clouds, shadows, or snow)\n\t255: Outside area\n\t\nThis mosaic was produced on 07/08/14, using a ArcGIS 10.2.1 model from Imperviousness Density High Resolution Layers delivered to date. These HRLs are intermediate deliveries, meaning that they have not undergone verification and enhancement. They were produced by service providers for Copernicus GIO land, using IRS LISS-III, RapidEye and SPOT satellite image data as inputs.\n\n\nTwo colour palettes are provided:\n - for standalone use of the product (esri_colour_table_imperviousness_hrl_standalone_use.clr and qgis_colour_table_imperviousness_hrl_standalone_use.txt)\n - for combined use with other High Resolution Layers (esri_colour_table_imperviousness_hrl_combined_use.clr and qgis_colour_table_imperviousness_hrl_combined_use.txt)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Land cover|Montenegro|Serbia|the North Macedonia", "publicationDate": "2019-06-04" }, { "sdiUuid": "544fb50e-a8b5-4725-ac2d-ae00507d49b8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/544fb50e-a8b5-4725-ac2d-ae00507d49b8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Type 2012 (raster 100m), Mar. 2016", "restApi": null, "label": 156, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/544fb50e-a8b5-4725-ac2d-ae00507d49b8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_fty_2011-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided HR satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2012, "abstract": "Forest Type (FTY) 2012 is a European mosaic of Forest Type (FTY) in 20m and 100m spatial resolution and European projection. The Minimum Mapping Unit (MMU) is 0.5 ha. The FTY product is closely aligned to the FAO forest definition, in the sense that the 20m x 20m forest type products are produced from the tree cover density (TCD) product applying a following rules 1) MMU = 0.5 ha (minimum number of pixels to form a patch); 2) Minimum Mapping Width (MMW) = 20m; 3) TCD value \u226510 and <100%. The product maps the dominant leaf type of trees with two classes: \"broadleaved\" and \"coniferous\" (binary product).\nThe FTY product for 2012 will be corrected and improved as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and the new version will be available from early 2018 and fully replace all previous versions.\n\nThe production of the Forest Type (FTY) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "9e690d13-c239-45fc-a6ee-abfc6391c765", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e690d13-c239-45fc-a6ee-abfc6391c765.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Preliminary version of a Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE, resolution 1 arcsec)", "restApi": null, "label": 157, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\n\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\n\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\n\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e690d13-c239-45fc-a6ee-abfc6391c765", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "entr_r_4326_1_arcsec_gsgrda-eudem_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0002777777778deg", "contactOrganisation": "European Commission, DG Enterprise and Industry", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "1f438d68-b984-4d36-81f7-2b9684116caa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f438d68-b984-4d36-81f7-2b9684116caa.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Change 2009-2012 (raster 100m), Apr. 2016", "restApi": null, "label": 158, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f438d68-b984-4d36-81f7-2b9684116caa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imc_2009-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Change mapping using the 2009 and 2012 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2012, "abstract": "Imperviousness Change (IMC) 2009-2012 is a 100m raster dataset showing change in imperviousness between 2009 and 2012 reference years. This product is based on a change mapping using the 2009 and 2012 imperviousness status layers. A filtering step is applied to distinguish real change from noise in the data. Given that errors found in the 2009 product are not corrected in the 2009 status layer, we recommend to use only this change product (not the status layers!) for applications that focus on change. A fully re-processed time series of imperviousness data (including the 2009-2012 change product) is currently being produced as part of the 2015 reference year production, and will be available from early 2018. These products will fully replace all previous versions.\n\nThe production of the Imperviousness Change (IMC) 2009-2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "d22b133d-b781-4b0d-914f-5b66f1911999", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d22b133d-b781-4b0d-914f-5b66f1911999.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "marine environment|sea", "sdiCentroidLon": null, "temporalCoverage": null, "title": "MSFD (Article 4) marine regions - version 1, February 2017", "restApi": null, "label": 159, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d22b133d-b781-4b0d-914f-5b66f1911999", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_msfd-marine-regions_2010-2017", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The delineation of the marine regions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between marine regions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\nThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\n\nThe layer should be used on the following basis:\na. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\nb. It provides the boundaries of the marine regions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine regions. The marine regions layer is meant to depict the marine regions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine region, in accordance with MSFD Article 2(1).\nc. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\nd. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: \"This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.\".\ne. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\nf. Notwithstanding the need to update the layer, the boundaries of the marine regions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\n\nFinally, the following note is relevant for the understanding of the layer:\n-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them.\n\nThe link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), the following four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea. The present layer provides the spatial extent of these regions, as agreed by the MSFD Committee in November 2016.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units|Sea regions|Baltic Sea|Black Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)", "publicationDate": "2019-06-04" }, { "sdiUuid": "f25f9f5c-682b-4030-9b3d-0f4842c69e9c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f25f9f5c-682b-4030-9b3d-0f4842c69e9c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Portugal - Funchal", "restApi": null, "label": 160, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f25f9f5c-682b-4030-9b3d-0f4842c69e9c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32628_10_k_urban-atlas-pt004l_funchal_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 06JUL22121049-M1BS-052239075060_01_P006 (PS) (Date: 2006/07/22) \n * Spot 5 2,50 m - 06OCT20121343-M1BS-052239075060_01_P002 (PS) (Date: 2006/10/20) \n * Spot 5 2,50 m - 06OCT20121346-M1BS-052239075060_01_P003 (PS) (Date: 2006/10/20) \n * Spot 5 2,50 m - 06OCT25121904-M1BS-052239075060_01_P001 (PS) (Date: 2006/10/25) \n * Spot 5 2,50 m - 08JAN21121253-M1BS-052239075060_01_P004 (PS) (Date: 2008/01/21) \n * Spot 5 2,50 m - 08JAN21121257-M1BS-052239075060_01_P005 (PS) (Date: 2008/01/21) \n * RapidEye - 2009-12-13T125252_RE1_3A-NAC_5455910_104088 (XS) (Date: 2009/12/13) \n * RapidEye - 2009-12-13T125252_RE1_3A-NAC_5455911_104088 (XS) (Date: 2009/12/13) \n * RapidEye - 2009-12-13T125255_RE1_3A-NAC_5455912_104088 (XS) (Date: 2009/12/13) \n * RapidEye - 2009-12-13T125256_RE1_3A-NAC_5455909_104088 (XS) (Date: 2009/12/13)", "crs": "EPSG:32628", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Funchal|Land use|Portugal", "publicationDate": "2019-06-04" }, { "sdiUuid": "2f19a7b7-3f52-41ab-af67-699c3ec80f4c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f19a7b7-3f52-41ab-af67-699c3ec80f4c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Spain - Las Palmas de Gran Canaria", "restApi": null, "label": 161, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f19a7b7-3f52-41ab-af67-699c3ec80f4c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32628_10_k_urban-atlas-es008l_las_palmas_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 00183538034 (PS) (Date: 2006/08/26)", "crs": "EPSG:32628", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land use|Las Palmas de Gran Canaria|Spain", "publicationDate": "2019-06-04" }, { "sdiUuid": "419fd081-26cf-48d7-9ed3-cef4e6b97512", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/419fd081-26cf-48d7-9ed3-cef4e6b97512.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Spain - Santa Cruz de Tenerife", "restApi": null, "label": 162, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/419fd081-26cf-48d7-9ed3-cef4e6b97512", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32628_10_k_urban-atlas-es025l_santa_cruz_de_tenerife_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 50152930609011143051B0 (PS) (Date: 2006/09/01)", "crs": "EPSG:32628", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land use|Santa Cruz de Tenerife|Spain", "publicationDate": "2019-06-04" }, { "sdiUuid": "1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009 - Jan. 2013", "restApi": null, "label": 163, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_xxx_m_imperviousness-changes_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the report entitled \"Delivery Report Revised Soil Sealing 2006 products EEA-38\" for general information.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The imperviousness changes 2006-2009 datasets produced by Geoland consist in:\n- one dataset about built-up changes at 20m resolution\n- one dataset about built-up changes at 100m resolution\n- one dataset about imperviousness changes at 20m resolution\n- one dataset about imperviousness changes at 100m resolution\n- one dataset about imperviousness changes metadata at 100m resolution\n- one dataset with filtered imperviousness changes at 20m resolution in order to keep the most significant changes", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness 2009, degrees of imperviousness 100m - Jan. 2013", "restApi": null, "label": 164, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_imperviousness-degrees_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "High resolution land cover data for built-up areas with degree of imperviousness 2009. Histogram smoothing procedure was applied to solve minor inconsistencies.\nClasses:\n0: Unsealed\n1-100: Degrees of Sealing / Imperviousness\n254: Clouds, No data\n255: Outside area", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "0d04aa58-788c-4545-a312-25d918d86f77", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d04aa58-788c-4545-a312-25d918d86f77.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009, changes 100m metadata - Jan. 2013", "restApi": null, "label": 165, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d04aa58-788c-4545-a312-25d918d86f77", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_imperviousness-changes-metadata_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Not available.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster dataset containing the number of valid 20m cells used for each 100m cell of the dataset about imperviousness changes at 100m resolution.\n\nClasses:\n\n0: Outside area\n\n1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "56f4508d-a565-4673-9cda-52a75a5f6d66", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56f4508d-a565-4673-9cda-52a75a5f6d66.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness 2009, degrees of imperviousness 20m - Jan. 2013", "restApi": null, "label": 166, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56f4508d-a565-4673-9cda-52a75a5f6d66", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_imperviousness-degrees_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Pixel-based layer of built-up areas including degree of soil sealing.\nIt serves as an update of the soil sealing layer of 2006. \nMethodology comprises the following steps: a) A hybrid automated classification with supervised and unsupervised elements, leading to binary maps of built-up areas b) Manual correction of the binary map to obtain the required quantitative thematic accuracy (85%) as well as good qualitative results c) Derivation of the soil sealing levels based on the NDVI (Normalised Difference Vegetation Index).\nA histogram smoothing procedure was applied where gaps in the histogram are partially filled. The sealing 09 degrees have been modified by no more than 1 sealing degree (up or down) for this purpose.\nRefer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation for further details.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "High resolution land cover data for built-up areas with degree of imperviousness 2009. Histogram smoothing procedure was applied to solve minor inconsistencies.\nClasses:\n0: Unsealed\n1-100: Degrees of Sealing / Imperviousness\n254: Clouds, No data\n255: Outside area", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "5c8e3269-75f1-4287-896c-df203537686d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c8e3269-75f1-4287-896c-df203537686d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006, 100m degrees of sealing metadata - Jan. 2013", "restApi": null, "label": 167, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c8e3269-75f1-4287-896c-df203537686d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_revised-soil-sealing-degrees-metadata_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster dataset containing the number of valid 20m cells used for each 100m cell of the degrees of soil sealing dataset at 100m resolution.\n\t\t\t\nClasses:\n0: \tOutside area\n1-25: \tValue of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "2c089ecd-2aa0-472d-8ac5-6f314cf48024", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2c089ecd-2aa0-472d-8ac5-6f314cf48024.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009, filtered changes 20m - Jan. 2013", "restApi": null, "label": 168, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c089ecd-2aa0-472d-8ac5-6f314cf48024", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_filtered-imperviousness-changes_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Not available.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster datasets indicating changes in degrees of imperviousness. Changes are filtered to exclude areas being smaller than 5 pixels as well as pixels with changes smaller than +/-30%. This filtering leads to better reliability of changes mapped. Changes are expressed as follows:\n\nDegree 2009 \u2013 Degree 2006 + 100.\n\nClasses:\n0-99:\t decreased imperviousness density \n100:\t unchanged areas with imperviousness degrees of 1-100 \n101-200: increased imperviousness density \n201: \t unchanged areas with imperviousness degrees of 0 (unsealed in 2006 and 2009)\n254: \t unclassifiable (no satellite image available, or clouds, shadows, or snow) \n255: \t outside area", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "2856fddd-5419-45da-8425-d27ee56961a5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2856fddd-5419-45da-8425-d27ee56961a5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Bulgaria - Plovdiv (\u041f\u043b\u043e\u0432\u0434\u0438\u0432)", "restApi": null, "label": 169, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2856fddd-5419-45da-8425-d27ee56961a5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32635_10_k_urban-atlas-bg002l_plovdiv_2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 00183756058 (PS) (Date: 2007/07/23) \n * Spot 5 2,50 m - 00183538064 (PS) (Date: 2007/09/28)", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Bulgaria|Land use|Plovdiv", "publicationDate": "2019-06-04" }, { "sdiUuid": "eb967443-41db-4468-bf56-41ed2d05e875", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eb967443-41db-4468-bf56-41ed2d05e875.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Romania - Br\u0103ila", "restApi": null, "label": 170, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eb967443-41db-4468-bf56-41ed2d05e875", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32635_10_k_urban-atlas-ro005l_braila_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * SPOT 5 2,50 m - 00185800034 (PS) (Date: 2006/10/10)", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Br\u0103ila|Land use|Romania", "publicationDate": "2019-06-04" }, { "sdiUuid": "e024d68d-f206-482f-a91f-b466a7d3b8be", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e024d68d-f206-482f-a91f-b466a7d3b8be.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Poland - P\u0142ock", "restApi": null, "label": 171, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e024d68d-f206-482f-a91f-b466a7d3b8be", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32634_10_k_urban-atlas-pl026l_plock_2005", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 50702430509271014021B0 (PS (Date: 2005/09/27) \n * Spot 5 2,50 m - 50732430509180947111B4 (PS) (Date: 2005/09/18)", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. 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Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac78b76b-12b8-4227-8119-c7a6206fbaaa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32634_10_k_urban-atlas-hu009l_szekesfehervar_2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 50742540707160937452B7 (PS) (Date: 2007/07/16)", "crs": null, "rodUrl": null, "tbegin": 2007, "tend": 2007, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hungary|Land use|Sz\u00e9kesfeh\u00e9rv\u00e1r", "publicationDate": "2019-06-04" }, { "sdiUuid": "09a3b081-80e7-4ba4-a9e7-d60b550978b6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/09a3b081-80e7-4ba4-a9e7-d60b550978b6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas - Italy - Campobasso", "restApi": null, "label": 466, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09a3b081-80e7-4ba4-a9e7-d60b550978b6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32633_10_k_urban-atlas-it020l_campobasso_2006-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Spot 5 2,50 m - 50702660608161005242B2 (PS) (Date: 2006/08/16) \n * Spot 5 2,50 m - 50712660710170949402B4 (PS) (Date: 2007/10/17)", "crs": null, "rodUrl": null, "tbegin": 2006, "tend": 2007, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. 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Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7529cdcc-7c99-4e3c-9bf4-df59e81a5a01", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32631_10_k_urban-atlas-be007l_namur_", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Format (shapefile + prj)\u00a0 - Ok (Date: ) \n * SOIL SEALING\u00a0cover and projection - Ok (Date: ) \n * COTS validation - Ok (Date: )", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. 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Copyright holder: Directorate-General Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41c16f0f-b13f-4ff6-9060-f19cb2041020", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "regio_v_32636_10_k_urban-atlas-cy001l_lefkosia_", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Earth Observation (EO) Data used:\n * Format (shapefile + prj)\u00a0 - Ok (Date: ) \n * SOIL SEALING\u00a0cover and projection - Ok (Date: ) \n * COTS validation - Ok (Date: )", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Cyprus|Land use|Nicosia", "publicationDate": "2019-06-04" }, { "sdiUuid": "d862a711-94a1-41cc-ace9-d01729ac4c33", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d862a711-94a1-41cc-ace9-d01729ac4c33.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes (vector) - version 13, Feb. 2010", "restApi": null, "label": 469, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-2000", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d862a711-94a1-41cc-ace9-d01729ac4c33", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_1990-2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Corine Land Cover 1990 - 200 changes - version 13 (02/2010) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe.\nCLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.\nCLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "62ab28a3-62ba-4a63-bed0-e2d1fdacc0a6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62ab28a3-62ba-4a63-bed0-e2d1fdacc0a6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 250m) - version 16, Apr. 2012", "restApi": null, "label": 470, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62ab28a3-62ba-4a63-bed0-e2d1fdacc0a6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2006 vector v16 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "bf2663e2-688f-4df9-9957-8963941e9e97", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf2663e2-688f-4df9-9957-8963941e9e97.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (vector) - version 16, Apr. 2012", "restApi": null, "label": 471, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf2663e2-688f-4df9-9957-8963941e9e97", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_2000-2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges: Version 16 (V6) (04/2012) Product date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - Reprojected CHA06 data for Malta are included - very small polygons, which are not part of complex change or which are not along country border has been deleted\nV5: 07/2011 - Upgraded version -Great Britain included - Contains data for 38 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland and Northern Ireland included - Contains data for 38 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "a096d6a0-0472-403b-ad0b-cf38f059d418", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a096d6a0-0472-403b-ad0b-cf38f059d418.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 13, Feb. 2010", "restApi": null, "label": 472, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-2000", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a096d6a0-0472-403b-ad0b-cf38f059d418", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_1990-2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "023fb29e-b295-40ba-bddb-473d4c165cfb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/023fb29e-b295-40ba-bddb-473d4c165cfb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 15, Aug. 2011", "restApi": null, "label": 473, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/023fb29e-b295-40ba-bddb-473d4c165cfb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/97110e65-7739-40ea-93c1-311a81d14612", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_1990-2000_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "d6ebe92d-4f4e-4ac3-b4e3-7f10d1ca155b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6ebe92d-4f4e-4ac3-b4e3-7f10d1ca155b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) - version 13, Feb. 2010", "restApi": null, "label": 475, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\nVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "eeb81dfe-d254-4e49-8500-cf5e0eaf6abf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eeb81dfe-d254-4e49-8500-cf5e0eaf6abf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 476, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eeb81dfe-d254-4e49-8500-cf5e0eaf6abf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_2000-2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "34a08622-01f6-4b0c-9ff4-f8d4ad11242e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34a08622-01f6-4b0c-9ff4-f8d4ad11242e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 15, Aug. 2011", "restApi": null, "label": 477, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34a08622-01f6-4b0c-9ff4-f8d4ad11242e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "805120fc-849e-4f31-acbe-2aa3a848eba3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/805120fc-849e-4f31-acbe-2aa3a848eba3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 seamless (vector) - version 15, Aug. 2011", "restApi": null, "label": 479, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/805120fc-849e-4f31-acbe-2aa3a848eba3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2006_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nCHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "694cb6f7-fb61-47dc-8b4e-e77498c21496", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/694cb6f7-fb61-47dc-8b4e-e77498c21496.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 seamless (vector) - version 16, Apr. 2012", "restApi": null, "label": 480, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/694cb6f7-fb61-47dc-8b4e-e77498c21496", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nCHANGES:Version 16 (V4) (04/2012) Production date: April 15th, 2012\nRelease history: V4: 04/2012 - Upgraded version - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Small pieces of 523 class in Elbe estuaries has been repaired. - Reprojected CLC06 data for Malta are included.\nV3: 07/2011 - Upgraded version - Great Britain included - Sea buffer (25km) improved so they are consistent across all CLC layers A simplified border matching has been applied for CH, NO, KO, TR, IE :\n- <25 ha polygons are NOT systematically removed (see next bullet).\n- Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour.\n- CLC-code differences in polygons along two sides of the border are NOT changed\n- Version numbering changed to be consistent across all CLC layers\n- Contains data for 38 countries\nV2: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland and Northern Ireland included - Sea buffer (25km) improved so they are consistent across all CLC layers - No-data buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra area - Small gaps identified in v1 were repaired - Remaining neigbouring polygons with the same code, as identified in v1, were resolved - Contains 38 countries\nV1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "2555a685-71d1-4211-8b97-ceaeaf1b926c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2555a685-71d1-4211-8b97-ceaeaf1b926c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 250m) - version 16, Apr. 2012", "restApi": null, "label": 481, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2555a685-71d1-4211-8b97-ceaeaf1b926c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 vector v16 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "8e50694b-39e9-41a3-b86c-f56815e446db", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8e50694b-39e9-41a3-b86c-f56815e446db.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes (vector) - version 17, Dec. 2013", "restApi": null, "label": 482, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e50694b-39e9-41a3-b86c-f56815e446db", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_1990-2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\nSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\nV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\nV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "Corine Land Cover 1990 - 200 changes is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme\nprovides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will\nprovide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at\nhttp://www.eea.europa.eu", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "cc23f0e0-07ca-43f8-871d-d3f3a29bfda4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc23f0e0-07ca-43f8-871d-d3f3a29bfda4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) - version 13, Feb. 2010", "restApi": null, "label": 483, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc23f0e0-07ca-43f8-871d-d3f3a29bfda4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\nChanges:\nVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "4ead9faf-5732-4dd2-aaf1-4b10db063fe9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4ead9faf-5732-4dd2-aaf1-4b10db063fe9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) - version 15, Aug. 2011", "restApi": null, "label": 484, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "702e2157-d9c9-4306-9d02-5d69b409b783", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/702e2157-d9c9-4306-9d02-5d69b409b783.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 seamless (vector) - version 13, Feb. 2010", "restApi": null, "label": 485, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/702e2157-d9c9-4306-9d02-5d69b409b783", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nCHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 250m) - version 15, Aug. 2011", "restApi": null, "label": 486, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-1", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_1990_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e6960701-c379-462e-83df-12b8353d37ac", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-5", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b926b72-c950-4d52-b32e-003214895ce8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2011_rev9", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. 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The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/842747d1-42c1-414b-9ce2-7c1eb9725c04", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_1990-2000_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "Corine Land Cover 1990 - 200 changes - version 15 (08/2011) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe.\nCLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.\nCLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "e70ca0e1-8fd4-494a-a86b-6222bdfc82b3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e70ca0e1-8fd4-494a-a86b-6222bdfc82b3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 250m) - version 15, Aug. 2011", "restApi": null, "label": 490, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-1", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e70ca0e1-8fd4-494a-a86b-6222bdfc82b3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2000_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "f3da37b9-4635-406b-bbca-08e128f0aed5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f3da37b9-4635-406b-bbca-08e128f0aed5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 491, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f3da37b9-4635-406b-bbca-08e128f0aed5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2006 vector v16 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "4d10f510-e4e8-4f8a-bc11-e5eb9cc7c13b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4d10f510-e4e8-4f8a-bc11-e5eb9cc7c13b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (vector) - version 13, Feb. 2010", "restApi": null, "label": 492, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-2006", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4d10f510-e4e8-4f8a-bc11-e5eb9cc7c13b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_2000-2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "570e7f43-b89c-492b-bb98-0c478332a3f1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/570e7f43-b89c-492b-bb98-0c478332a3f1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 seamless (vector) - version 17, Dec. 2013", "restApi": null, "label": 493, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/570e7f43-b89c-492b-bb98-0c478332a3f1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2006_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\nSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\nV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\nV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).Changes:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "14db112a-f0dc-4624-95e0-69e3c1c9d81c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14db112a-f0dc-4624-95e0-69e3c1c9d81c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (vector) - version 17, Dec. 2013", "restApi": null, "label": 495, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14db112a-f0dc-4624-95e0-69e3c1c9d81c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_2000-2006_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\nSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\nV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\nV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "38068464-b303-4221-a7e5-fec4473c3267", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/38068464-b303-4221-a7e5-fec4473c3267.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 100m) - version 15, Aug. 2011", "restApi": null, "label": 496, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-1", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38068464-b303-4221-a7e5-fec4473c3267", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2000_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "2ef6f33f-a1d3-40aa-b898-62dfc98f4223", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2ef6f33f-a1d3-40aa-b898-62dfc98f4223.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 250m) - version 16, Apr. 2012", "restApi": null, "label": 497, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2ef6f33f-a1d3-40aa-b898-62dfc98f4223", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_1990_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 vector v16 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "a0e4af53-3ed6-440d-a690-7a3fa1793dce", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0e4af53-3ed6-440d-a690-7a3fa1793dce.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 498, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0e4af53-3ed6-440d-a690-7a3fa1793dce", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_1990_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 vector v16 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "f27e82cc-507c-4b7a-b4f3-b2917a7de492", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f27e82cc-507c-4b7a-b4f3-b2917a7de492.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) polygons for public access - version 10, Oct. 2012", "restApi": null, "label": 499, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu\n\nEEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Malta, the Netherlands, Romania, Spain and Turkey. Copyright has to be mentioned for Estonia (Estonian Environmental Register 22.02.2011. On-line resource linkage: www.keskkonnainfo.ee) and Finland (\u00a9Finnish Environment Institute, 2011).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-6", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f27e82cc-507c-4b7a-b4f3-b2917a7de492", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-public_2012_rev10", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2012 for inclusion into version 10 of the ECDDA; 32 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2012, which was extracted from the previous ECDDA dataset, version 9.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2012, "tend": 2012, "abstract": "The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA) and to Eurostat. The CDDA data can also be queried online in the European Nature Information System (EUNIS).\n\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Sweden and Switzerland.\nEEA does not have permission to distribute some or all sites reported by Austria, Estonia, Finland, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia, Spain and Turkey.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) points for public access - version 9, Nov. 2011", "restApi": null, "label": 500, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-5", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-point-public_2011_rev9", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks.\nOnce the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "699c0c6d-8f21-4949-b373-1fdaeb3f82ed", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/699c0c6d-8f21-4949-b373-1fdaeb3f82ed.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 100m", "restApi": null, "label": 501, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-fast-track-service-precursor-on-land-monitoring-degree-of-soil-sealing", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/699c0c6d-8f21-4949-b373-1fdaeb3f82ed", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_mosaic-sealing_2006_rev2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Documentation about the method used can be downloaded from the resource location.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in aggregated spatial resolution (100 x 100 m).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "28740d7e-7892-4910-b1c9-185dbff86cf0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28740d7e-7892-4910-b1c9-185dbff86cf0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 seamless (vector) - version 15, Aug. 2011", "restApi": null, "label": 502, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28740d7e-7892-4910-b1c9-185dbff86cf0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2000_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges:\nVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "92f84de3-1ff9-438b-bd89-9d89ec0bddfd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92f84de3-1ff9-438b-bd89-9d89ec0bddfd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 seamless (vector) - version 13, Feb. 2010", "restApi": null, "label": 503, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92f84de3-1ff9-438b-bd89-9d89ec0bddfd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges:\nVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "3be396a5-dded-4492-a620-f42d9f4aba5c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3be396a5-dded-4492-a620-f42d9f4aba5c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE River basin districts (RBD) - version 1.4, Jun. 2011", "restApi": null, "label": 504, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-river-basin-districts-rbds-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_rbd-f1v4_2011_rev1-4", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Refer to pdf document eea_v_3035_250_k_rbd-f1v4_2011_rev1-4_dataset_lineage.pdf", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "River Basin Districts (RBDs) and/or their subunits are the main units for the management of river basins and have been delineated by Member States under Article 3 of the Water Framework Directive. The geographic area of some RBDs span more than one country (such as the Danube) and these are known as International RBDs. Others are contained completely within a country and are known as National RBDs. River basin districts are defined as the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. Coastal waters are defined as one nautical mile from the coastline and extending, where appropriate, up to the outer limit of transitional waters. Coastal waters are included in RBDs, but this is not consistenly reported by Member States. Transitional waters are defined as bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. For more information about European waters, please visit the WISE portal (http://water.europa.eu/).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "adae6022-3cf0-4e07-8d76-f9bd2c38084b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/adae6022-3cf0-4e07-8d76-f9bd2c38084b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (vector) - version 15, Aug. 2011", "restApi": null, "label": 505, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/adae6022-3cf0-4e07-8d76-f9bd2c38084b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_2000-2006_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. 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The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "5274379e-eb22-435d-b3d2-248dabca794c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5274379e-eb22-435d-b3d2-248dabca794c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 250m) - version 13, Feb. 2010", "restApi": null, "label": 506, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5274379e-eb22-435d-b3d2-248dabca794c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).Changes:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "fa92e450-c5cb-4796-b77c-ddb248203672", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa92e450-c5cb-4796-b77c-ddb248203672.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 seamless (vector) - version 16, Apr. 2012", "restApi": null, "label": 507, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-4", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa92e450-c5cb-4796-b77c-ddb248203672", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges:\nVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Reprojected CLC00 data for Malta are included.\nV5: 07/2011 - Upgraded version - Sea buffer between clc00 and clc06 harmonized - Contains data for 39 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland included - Sea buffer (25km) improved so they are consistent across all CLC layers - No-data buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra area - Small gaps identified in v3 were repaired - Remaining neigbouring polygons with the same code, as identified in v3, were resolved - Contains data for 39 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "81e4b1e5-e717-49c6-b4c8-511ee36c7b48", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81e4b1e5-e717-49c6-b4c8-511ee36c7b48.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes (vector) - version 16, Apr. 2012", "restApi": null, "label": 508, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81e4b1e5-e717-49c6-b4c8-511ee36c7b48", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_1990-2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges: Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\nV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "Corine Land Cover 1990 - 200 changes - version 15 (08/2011) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe.\nCLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.\nCLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "3158100a-40d1-4cc5-bc4e-7a6900363e6d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3158100a-40d1-4cc5-bc4e-7a6900363e6d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 13, Feb. 2010", "restApi": null, "label": 509, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-2006", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3158100a-40d1-4cc5-bc4e-7a6900363e6d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_2000-2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "c5663efa-601b-4989-8e56-112ff709eaa0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c5663efa-601b-4989-8e56-112ff709eaa0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 20m", "restApi": null, "label": 510, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-fast-track-service-precursor-on-land-monitoring-degree-of-soil-sealing", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c5663efa-601b-4989-8e56-112ff709eaa0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_20_m_mosaic-sealing_2006_rev2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Documentation about the method used can be downloaded from the resource location.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (20 x 20 m).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "22ee6af6-1d47-4335-b495-5da4f4159fe2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/22ee6af6-1d47-4335-b495-5da4f4159fe2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 13, Feb. 2010", "restApi": null, "label": 511, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-2006", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/22ee6af6-1d47-4335-b495-5da4f4159fe2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "3e2ff175-f15b-4ba0-a866-cc8cd7e9673b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3e2ff175-f15b-4ba0-a866-cc8cd7e9673b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 250m) - version 13, Feb. 2010", "restApi": null, "label": 512, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e2ff175-f15b-4ba0-a866-cc8cd7e9673b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_1990_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "e4bb8352-4e94-439b-aa45-43f5c99cb38a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e4bb8352-4e94-439b-aa45-43f5c99cb38a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 13, Feb. 2010", "restApi": null, "label": 513, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-2000", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e4bb8352-4e94-439b-aa45-43f5c99cb38a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "87a1e572-e9fa-4090-803a-eb576ddff644", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/87a1e572-e9fa-4090-803a-eb576ddff644.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) - version 15, Aug. 2011", "restApi": null, "label": 514, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87a1e572-e9fa-4090-803a-eb576ddff644", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2006_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\nChanges:\nVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "fa4f3b2d-e4a6-461c-8094-1c089c7e16d7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa4f3b2d-e4a6-461c-8094-1c089c7e16d7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones 2000 (vector) - version 13, Apr. 2010", "restApi": null, "label": 515, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa4f3b2d-e4a6-461c-8094-1c089c7e16d7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz_2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Methodology description:\n UMZ 2000 dataset derives from Corine Land Cover 2000 raster. Urban classes are selected from CLC2000 and applying some criteria are merged to build up UMZs. Airports have been included within urban classes. Some iteration done in the third process step. For more details see process steps detailed below. \nChanges:\n None \nPublish status:\n Ready for publish \nprocess steps\n \nDescription:\n Reclassification of Corine Land Cover 2000 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. \n\n \nDescription:\n Vectorisation of each reclassified set \n\n \nDescription:\n Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. \n\n \nDescription:\n Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. \n\n \nDescription:\n Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. \n\n \nDescription:\n Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. \n\n \nDescription:\n Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. \n\n \nDescription:\n Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal \n\n\nDescription:\n Elimination of polygons below 25 ha. (CLC limit). Result: UMZ2000", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "A UMZ is defined as a \"set of urban areas laying less than 200 m apart\". Urban areas have been selected from Corine Land Cover 2000, version 13, by means of a complex methodology explained below.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "4b87a0ed-be1b-4a66-b813-23321397e3fa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4b87a0ed-be1b-4a66-b813-23321397e3fa.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones Changes between 1990 and 2000 (vector) - version 13, Apr. 2010", "restApi": null, "label": 516, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4b87a0ed-be1b-4a66-b813-23321397e3fa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz-changes_1990-2000_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Methodology description:\n UMZ Changes have been calculated by unioning UMZ1990 and UMZ2000 layers and removing all areas which were UMZ in both years. The remaining polygons are considered as positive changes when they are new UMZ areas in 2000 and not in 1990 and negative changes when it was UMZ in 1990 and not in 2000. \nChanges:\n no changes applied \nPublish status:\n Ready for publish \nprocess steps\n \nDescription:\n Unioning of UMZ1990 and UMZ2000 \n\n \nDescription:\n Selection of areas being UMZ in 1990 or in 2000. Removal of areas being UMZ in both years (i.e. no changes) \n\n \nDescription:\n Creation of the attribute \"Change\", which define positive changes when they are new UMZ areas in 2000 and negative changes when it was UMZ in 1990 and not in 2000.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Changes between UMZs in 1990 and UMZs in 2000 using CLC version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "94ed59be-4715-44e9-8c51-165fc337272f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94ed59be-4715-44e9-8c51-165fc337272f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) 250m raster - version 8, Jun. 2010", "restApi": null, "label": 517, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94ed59be-4715-44e9-8c51-165fc337272f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_cdda_2009_rev8", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones.\n\nprocess steps\n \nDescription:\n Rasterisation \nResource name:\n CDDA_2009_polygon_Merge.shp \nResource date:\n 20091021", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Consolidated raster containing the original CDDA polygons.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) points for internal use - version 9, Nov. 2011", "restApi": null, "label": 518, "associatedResources": null, "sdiUseLimitation": "Data from some MS not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-point-internal_2011_rev9", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks.\nOnce the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "abf75ccc-f95e-4a0c-bca4-5049927584d5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/abf75ccc-f95e-4a0c-bca4-5049927584d5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 European seamless (vector) - version 15, Aug. 2011", "restApi": null, "label": 519, "associatedResources": null, "sdiUseLimitation": "CLC1990 vector data cannot be disseminated. For internal use only.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abf75ccc-f95e-4a0c-bca4-5049927584d5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_1990_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "7526b6e0-a7a8-4e24-9990-3a0fce9fe7ec", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7526b6e0-a7a8-4e24-9990-3a0fce9fe7ec.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) 1km raster - version 8, Jun. 2010", "restApi": null, "label": 520, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7526b6e0-a7a8-4e24-9990-3a0fce9fe7ec", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_cdda_2009_rev8", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones.\n\nprocess steps\n \nDescription:\n Rasterisation \nResource name:\n CDDA_2009_polygon_Merge.shp \nResource date:\n 20091021", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "Consolidated raster containing the original CDDA polygons.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) polygons - version 8, Oct. 2009", "restApi": null, "label": 521, "associatedResources": null, "sdiUseLimitation": "Data from some MS not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda_2009_rev8", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Data from 49 countries was compiled. Spatial data from 28 countries was delivered in 2009, the boundaries from the remaining 21 countries were extracted from the WDPA site (http://www.wdpa.org/). The data delivered in 2009 was reprojected from native projections to ETRS LAEA 5210, subsequent to this the data was checked for geometry validation, whether they lie within the Member State, whether the sitecode is present etc. The polygon data from each Member state was merged to form a European wide dataset. The projection is ETRS LAEA 5210", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "ECDDA polygon dataset. Geographical extent covers covers Europe, Russia, Central Asia, Greenland, French DOM-TOM & COM. Polygon data of nationally designated areas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "23a9d577-f875-4acf-8634-a77241a71176", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/23a9d577-f875-4acf-8634-a77241a71176.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 European seamless (vector) - version 16, Apr. 2012", "restApi": null, "label": 522, "associatedResources": null, "sdiUseLimitation": "CLC1990 vector data cannot be disseminated. For internal use only.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23a9d577-f875-4acf-8634-a77241a71176", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_1990_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nCHANGES: Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - New country - Turkey has been added. - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Sea buffers around CLC data were improved so they are consistent accross all CLC layers. - Reprojected CLC90 data for Malta are included.\nV5: 07/2011 - No changes between V4 and V5 - Contains data for 27 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Sea buffer (25km) improved so they are consistent across all CLC layers - Nodata buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra, Bosnia and Hercegovina and Switzerland areas - Small gaps identified in v3 were repaired - Remaining neigbouring polygons with the same code, as identified in v2, were resolved - Contains 27 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "c45f5dbd-4711-4436-8634-e4fe40597fb7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c45f5dbd-4711-4436-8634-e4fe40597fb7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones 2006 (vector) - version 13, Apr. 2010", "restApi": null, "label": 523, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c45f5dbd-4711-4436-8634-e4fe40597fb7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz_2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Methodology description:\n UMZ 2006 dataset derives from Corine Land Cover 2006 raster. Urban classes are selected from CLC2006 and applying some criteria are merged to build up UMZs. Airports have been included within urban classes. Some iteration done in the third process step. For more details see process steps detailed below. \nChanges:\n None \nPublish status:\n Ready for publish \nprocess steps\n \nDescription:\n Reclassification of Corine Land Cover 2006 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. \n\n \nDescription:\n Vectorisation of each reclassified set \n\n \nDescription:\n Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. \n\n \nDescription:\n Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. \n\n \nDescription:\n Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. \n\n \nDescription:\n Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. \n\n \nDescription:\n Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. \n\n \nDescription:\n Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal \n\n \nDescription:\n Elimination of polygons below 25 ha. (CLC limit). Result: UMZ2006", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "A UMZ is defined as a \"set of urban areas laying less than 200 m apart\". Urban areas have been selected from Corine Land Cover 2006, version 13, by means of a complex methodology explained below.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "2423ec9b-26c8-42fa-91ef-e5a43afe0fee", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2423ec9b-26c8-42fa-91ef-e5a43afe0fee.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 250m) - version 15, Aug. 2011", "restApi": null, "label": 524, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2423ec9b-26c8-42fa-91ef-e5a43afe0fee", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2006_rev15", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).\nChanges:\nVersion 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "39da3d89-f177-40f0-8f50-f10b10187dea", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/39da3d89-f177-40f0-8f50-f10b10187dea.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) polygons for internal use - version 9, Nov. 2011", "restApi": null, "label": 525, "associatedResources": null, "sdiUseLimitation": "Data from some MS not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39da3d89-f177-40f0-8f50-f10b10187dea", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2011_rev9", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks.\nOnce the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "247db2ac-1881-41c9-b8e9-2a1fb4f98447", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/247db2ac-1881-41c9-b8e9-2a1fb4f98447.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 European seamless (vector) - version 17, Dec. 2013", "restApi": null, "label": 526, "associatedResources": null, "sdiUseLimitation": "CLC1990 vector data cannot be disseminated. For internal use only.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/247db2ac-1881-41c9-b8e9-2a1fb4f98447", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_1990_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\nSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\nV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\nV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "c13ea28b-7054-4b17-afce-697298b7d966", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c13ea28b-7054-4b17-afce-697298b7d966.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) 100m raster - version 8, Jun. 2010", "restApi": null, "label": 527, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c13ea28b-7054-4b17-afce-697298b7d966", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_cdda_2009_rev8", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones.\n\nprocess steps\n \nDescription:\n Rasterisation \nResource name:\n CDDA_2009_polygon_Merge.shp \nResource date:\n 20091021", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "Consolidated raster containing the original CDDA polygons.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "8c2a3ded-9ccb-472d-99d2-30f11107b10c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c2a3ded-9ccb-472d-99d2-30f11107b10c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 European seamless (vector) - version 13, Feb. 2010", "restApi": null, "label": 528, "associatedResources": null, "sdiUseLimitation": "CLC1990 vector data cannot be disseminated. For internal use only.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c2a3ded-9ccb-472d-99d2-30f11107b10c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_1990_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "a566e4af-06cd-4c55-ac15-c943ac2fa2a8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a566e4af-06cd-4c55-ac15-c943ac2fa2a8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Common Database on Designated Areas (CDDA) polygons for internal use - version 10, Oct. 2012", "restApi": null, "label": 529, "associatedResources": null, "sdiUseLimitation": "Data from some MS not for dissemination.\n\nEEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Malta, the Netherlands, Romania, Spain and Turkey. Copyright has to be mentioned for Estonia (Estonian Environmental Register 22.02.2011. On-line resource linkage: www.keskkonnainfo.ee) and Finland (\u00a9Finnish Environment Institute, 2011).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a566e4af-06cd-4c55-ac15-c943ac2fa2a8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly-internal_2012_rev10", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "In 2012 for inclusion into version 10 of the ECDDA; 32 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2012, which was extracted from the previous ECDDA dataset, version 9.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2012, "tend": 2012, "abstract": "The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "8226b910-c3d6-44c6-99da-555788fb8c77", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8226b910-c3d6-44c6-99da-555788fb8c77.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones 1990 (vector) - version 13, Apr. 2010", "restApi": null, "label": 530, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8226b910-c3d6-44c6-99da-555788fb8c77", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz_1990_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "process steps\n\nDescription:\n Reclassification of Corine Land Cover 1990 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. \n\n \nDescription:\n Vectorisation of each reclassified set \n\n \nDescription:\n Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. \n\n \nDescription:\n Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. \n\n \nDescription:\n Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. \n\n \nDescription:\n Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. \n\n \nDescription:\n Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. \n\n \nDescription:\n Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal \n\n \nDescription:\n Elimination of polygons below 25 ha. (CLC limit). Result: UMZ1990", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "A UMZ is defined as a \"set of urban areas laying less than 200 m apart\". Urban areas have been selected from Corine Land Cover 1990, version 13, by means of a complex methodology explained below.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "e20aecd3-8a23-4481-9662-73fe8e4dceaa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e20aecd3-8a23-4481-9662-73fe8e4dceaa.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones Changes between 2000 and 2006 (vector) - version 13, Apr. 2010", "restApi": null, "label": 531, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e20aecd3-8a23-4481-9662-73fe8e4dceaa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz-changes_2000-2006_rev13", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Methodology description:\n UMZ Changes have been calculated by unioning UMZ2000 and UMZ2006 layers and removing all areas which were UMZ in both years. The remaining polygons are considered as positive changes when they are new UMZ areas in 2006 and not in 2000 and negative changes when it was UMZ in 2000 and not in 2006. \nChanges:\n no changes applied \nPublish status:\n Ready for publish \nprocess steps\n \nDescription:\n Unioning of UMZ2000 and UMZ2006 \n\n \nDescription:\n Selection of areas being UMZ in 2000 or in 2006. Removal of areas being UMZ in both years (i.e. no changes) \n\n \nDescription:\n Creation of the attribute \"Change\", which define positive changes when they are new UMZ areas in 2006 and negative changes when it was UMZ in 2000 and not in 2006.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "Changes between UMZs in 2000 and UMZs in 2006 using CLC version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "50a2e429-75da-4209-9f8a-c828a4ac2d4c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50a2e429-75da-4209-9f8a-c828a4ac2d4c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Iceland (100km), May 2011", "restApi": null, "label": 532, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50a2e429-75da-4209-9f8a-c828a4ac2d4c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-is_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Geographical grid systems", "publicationDate": "2019-06-04" }, { "sdiUuid": "89f49357-ac68-4293-86f8-1e64da2ab7fb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89f49357-ac68-4293-86f8-1e64da2ab7fb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Austria (10km), May 2011", "restApi": null, "label": 533, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89f49357-ac68-4293-86f8-1e64da2ab7fb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-at_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Geographical grid systems", "publicationDate": "2019-06-04" }, { "sdiUuid": "cc3eadf2-fed8-4262-99ef-bd639ade1eb8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc3eadf2-fed8-4262-99ef-bd639ade1eb8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - end 2011", "restApi": null, "label": 534, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/natura-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc3eadf2-fed8-4262-99ef-bd639ade1eb8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\n\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n\nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. 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If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Czech Republic, Finland, Germany, Ireland, Latvia, Luxembourg, Malta, Romania, Slovakia, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. Certain descriptive fields, possibly mentioning the presence of these species, have also been removed. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acc58574-941b-48c3-acfb-64461daf0dca", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-sk_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e80fdac-a518-462b-942b-82701035c079", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-cz_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89ee806c-5804-40a6-a011-44a4b96478d9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-ch_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53ca956f-fefa-4c60-807c-8b6c6d4e5a0d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-cz_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e374dcbc-0e0a-44f0-8906-25ba4053deb8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-tr_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f086da7-e077-4dab-952b-0d12b00e326e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-rs_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98bd2c15-1a6d-4717-9850-01e3a44fe60e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-me_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d75de62-2cbf-452e-85a8-605d8368cc37", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-al_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9f7f959-6f63-4c96-a47c-e4f1541eba51", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-hu_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Geographical grid systems", "publicationDate": "2019-06-04" }, { "sdiUuid": "a528d40c-8980-4545-bae4-3b5da706cc1f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a528d40c-8980-4545-bae4-3b5da706cc1f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Bosnia and Herzegovina (1km), May 2011", "restApi": null, "label": 661, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a528d40c-8980-4545-bae4-3b5da706cc1f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-ba_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74cc2d96-c822-4e4c-98fb-bb58714f94c8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-ro_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50ac55b9-f48d-4baa-bf44-f7e2d8904c6d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-it_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Geographical grid systems", "publicationDate": "2019-06-04" }, { "sdiUuid": "c651bc41-d5da-49de-ba47-c51eabbb2007", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c651bc41-d5da-49de-ba47-c51eabbb2007.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Turkey (100km), May 2011", "restApi": null, "label": 664, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c651bc41-d5da-49de-ba47-c51eabbb2007", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-tr_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Geographical grid systems", "publicationDate": "2019-06-04" }, { "sdiUuid": "b96f0885-e2e0-434b-92fd-3740e376b3eb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96f0885-e2e0-434b-92fd-3740e376b3eb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 250 m (raster) - mid 2009", "restApi": null, "label": 665, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96f0885-e2e0-434b-92fd-3740e376b3eb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_nature-sites_200901-200905", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Commission", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "8094fb5f-1e00-4651-8fbb-56bcdab70070", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8094fb5f-1e00-4651-8fbb-56bcdab70070.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - end 2011 - INTERNAL VERSION", "restApi": null, "label": 666, "associatedResources": null, "sdiUseLimitation": "Access restricted to EEA, ETCs and EC.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8094fb5f-1e00-4651-8fbb-56bcdab70070", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000-internal_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\n\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n\nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database.\n\nThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States.\n\nThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. \n\nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Czech Republic, Finland, Germany, Ireland, Latvia, Luxembourg, Malta, Romania, Slovakia, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. Certain descriptive fields, possibly mentioning the presence of these species, have also been removed. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 1 km (raster) - end 2011", "restApi": null, "label": 667, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_nature-sites_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "This dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html.\n\n0. The input vector data, from EEA SDI\nhttp://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8\n\n1. Rasterisation with GDAL tools (takes ~2 hours)\n$ for res in 100 250 1000 ; do\n gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \\\n -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "72eac9d9-8f54-42ad-9a66-f40a5e58f0c4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/72eac9d9-8f54-42ad-9a66-f40a5e58f0c4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 100 m (raster) - mid 2009", "restApi": null, "label": 668, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72eac9d9-8f54-42ad-9a66-f40a5e58f0c4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_nature-sites_200901-200905", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Commission", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "28d8bb0d-7194-4451-98d1-382166e8bdb8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28d8bb0d-7194-4451-98d1-382166e8bdb8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 100 m (raster) - end 2011", "restApi": null, "label": 669, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28d8bb0d-7194-4451-98d1-382166e8bdb8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_nature-sites_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Commission", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "This dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html.\n\n0. The input vector data, from EEA SDI\nhttp://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8\n\n1. Rasterisation with GDAL tools (takes ~2 hours)\n$ for res in 100 250 1000 ; do\n gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \\\n -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "0d37f931-0f69-49a7-8efc-3409071a39aa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d37f931-0f69-49a7-8efc-3409071a39aa.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 250 m (raster) - end 2011", "restApi": null, "label": 670, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d37f931-0f69-49a7-8efc-3409071a39aa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_nature-sites_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Commission", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "This dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html.\n\n0. The input vector data, from EEA SDI\nhttp://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8\n\n1. Rasterisation with GDAL tools (takes ~2 hours)\n$ for res in 100 250 1000 ; do\n gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \\\n -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "5a805097-854d-40cf-816c-9954fb47439c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a805097-854d-40cf-816c-9954fb47439c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 1 km (raster) - mid 2009", "restApi": null, "label": 671, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a805097-854d-40cf-816c-9954fb47439c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_nature-sites_200901-200905", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "45638b75-39da-4c90-bea0-669967081194", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/45638b75-39da-4c90-bea0-669967081194.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap version 3.0b, Jun. 2009", "restApi": null, "label": 672, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/45638b75-39da-4c90-bea0-669967081194", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_250_k_erm-europe_i_2009_v03_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "For each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.\n\nsee the National contributions documents.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000 covering 32 European countries: 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova and Liechtenstein. It is seamless and harmonized across boundaries.It is a seamless1 and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. \nEuroRegionalMap is ideal for a wide range of uses, including cartographic publishing and backdrop visualisation, or in combination with other datasets for marketing planning and socio-economic analysis, environmental analysis, and transport management.\n\nThemes:\na) Administrative (administrative boundaries, administrative areas)\nb) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland)\nc) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway)\nd) Settlements (built-up area, named location)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Hydrography|Transport network", "publicationDate": "2019-06-04" }, { "sdiUuid": "d98cb950-c4d0-4544-8971-e14f0cc94986", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d98cb950-c4d0-4544-8971-e14f0cc94986.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroGlobalMap (individual countries or areas) - version 3.0, Jan. 2009", "restApi": null, "label": 673, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d98cb950-c4d0-4544-8971-e14f0cc94986", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_1_mio_egm-countries-v30_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "PGeo", "sdiElon": null, "lineage": "See the document Lineage_EGM_v3.0.doc or individual country lineage reports.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Albania, Andorra, Croatia, Faroe Islands, Gibraltar, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases.\nThematic layers:\na) administrative boundaries (administrative boundaries and administrative areas)\nb) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass)\nc) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield)\nd) settlements (built-up area)\ne) elevation points (height point)\nf) named location (named location (point and text feature)).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Elevation|Hydrography|Transport network", "publicationDate": "2019-06-04" }, { "sdiUuid": "79fbcebb-2cac-4ed5-bab6-884ee4aa3af0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/79fbcebb-2cac-4ed5-bab6-884ee4aa3af0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap (individual countries) - version 4.0, Mar. 2011", "restApi": null, "label": 674, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79fbcebb-2cac-4ed5-bab6-884ee4aa3af0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_250_k_erm-countries-v40_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "See the country specific lineage documents.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\n\nThemes:\na) Administrative (administrative boundaries, administrative areas)\nb) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland)\nc) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway)\nd) Settlements (built-up area, named location)\ne) Soil and vegetation", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Hydrography|Transport network", "publicationDate": "2019-06-04" }, { "sdiUuid": "30f8b868-eec3-4f89-b2ec-a42ac1afb0b0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/30f8b868-eec3-4f89-b2ec-a42ac1afb0b0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroGlobalMap (full European coverage) - version 4.0, Jan. 2011", "restApi": null, "label": 675, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/30f8b868-eec3-4f89-b2ec-a42ac1afb0b0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_1_mio_egm-europe_2011_i_v04_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "PGeo|SHP", "sdiElon": null, "lineage": "See the document Metadata/Lineage_EGM_v4.0.doc.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroGlobalMap is a pan-European dataset containing basic geographic information at the scale 1:1 M covering the following countries and/or administrative areas: Andorra, Austria, Belgium, Bulgaria, Croatia, Czech Republic, Cyprus, Denmark, Estonia, Finland, Faroe Islands, France, Germany, Gibraltar, Greece, Great Britain, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Monaco, Moldova, Northern Ireland, Norway, Poland, Portugal, Romania, San Marino, Slovakia, Slovenia, Spain, Sweden, Switzerland, The Netherlands, Ukraine and Vatican. It is seamless1 and harmonised data and is produced in cooperation by the National Mapping Agencies of Europe, using official national databases.\nThematic layers:\na) administrative boundaries (administrative boundaries and administrative areas)\nb) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass)\nc) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield)\nd) settlements (built-up area)\ne) elevation points (height point)\nf) named location (named location (point and text feature)).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Elevation|Hydrography|Transport network", "publicationDate": "2019-06-04" }, { "sdiUuid": "9148a53d-6966-4467-9cff-9ff1bee44c44", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9148a53d-6966-4467-9cff-9ff1bee44c44.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "ERM EuroRegionMap Coastlines v2", "restApi": null, "label": 676, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9148a53d-6966-4467-9cff-9ff1bee44c44", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_250_k_erm-coastline_2006_rev2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "For each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Miscellaneous, Settlements, Transport, Soils and Vegetation, Named Locations.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation", "publicationDate": "2019-06-04" }, { "sdiUuid": "6735a968-f86a-491d-9fdc-6d248595d2b7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6735a968-f86a-491d-9fdc-6d248595d2b7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroGlobalMap (full European coverage) - version 3.0, Jan. 2009", "restApi": null, "label": 677, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6735a968-f86a-491d-9fdc-6d248595d2b7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_1_mio_egm-europe-v30_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "PGeo", "sdiElon": null, "lineage": "See the document Lineage_EGM_v3.0.doc.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Albania, Andorra, Croatia, Faroe Islands, Gibraltar, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases.\nThematic layers:\na) administrative boundaries (administrative boundaries and administrative areas)\nb) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass)\nc) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield)\nd) settlements (built-up area)\ne) elevation points (height point)\nf) named location (named location (point and text feature)).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Elevation|Hydrography|Transport network", "publicationDate": "2019-06-04" }, { "sdiUuid": "cc3776aa-fabd-461d-9c8b-1d915314f8a5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc3776aa-fabd-461d-9c8b-1d915314f8a5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "ERM EuroRegionMap Coastlines v3.0b", "restApi": null, "label": 678, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc3776aa-fabd-461d-9c8b-1d915314f8a5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_250_k_erm-coastline_2006_rev30b", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "For each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2007, "tend": 2007, "abstract": "EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Miscellaneous, Settlements, Transport, Soils and Vegetation, Named Locations.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation", "publicationDate": "2019-06-04" }, { "sdiUuid": "25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EGM EuroGlobalMap Coastlines v2", "restApi": null, "label": 679, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_1_mio_egm-coastline_2006_rev2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "The creation of this dataset is a joint effort of European National Mapping Agencies (NMAs). A listing of all partners and contact information is given in the respective metadata sections. Project Coordinator is the National Land Survey (NLS) of Finland. Additionally there are 4 Regional Coordinators (Finland, France, Germany and Ireland) and 3 Subregional Coordinators (Estonia, Greece and Spain). The National Mapping Agencies of each of the participating countries are responsible for the map elements of the areas of their respective countries.\nProcess steps:\nEach data supplier has converted its analogue and digital data into the EuroGlobalMap specifications observing the EGM Technical guidelines. Details about these processes and country specific extraction peculiarities can be found in the national lineage sections. Subregional and Regional Coordinators performed thorough interactive and automatic quality checking on the delivered data. Subsequently the coordinators compiled the national contributions into a seamless harmonized dataset, referring to international boundaries with common geometry agreed by all partners. The harmonisation process followed the rules laid down in the EGM Specifications and Technical Guidelines. Corresponding procedures were later applied to harmonize the data between EGM regions to compile the final EGM dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Andorra, Croatia, Faroe Islands, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: administrative boundaries, hydrography, transportation, settlements, elevation points, named location.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation", "publicationDate": "2019-06-04" }, { "sdiUuid": "63a9dd7f-a7f3-453e-b183-644a1ea6a8f9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/63a9dd7f-a7f3-453e-b183-644a1ea6a8f9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap (full European coverage) - version 4.0, Mar. 2011", "restApi": null, "label": 680, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63a9dd7f-a7f3-453e-b183-644a1ea6a8f9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_250_k_erm-europe_i_2009_v04_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "See the country specific lineage documents.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "EuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases.\n\nThemes:\na) Administrative (administrative boundaries, administrative areas)\nb) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland)\nc) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway)\nd) Settlements (built-up area, named location)\ne) Soil and vegetation", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Hydrography|Transport network", "publicationDate": "2019-06-04" }, { "sdiUuid": "965858af-9905-4ba3-b5ab-e976c06d6816", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/965858af-9905-4ba3-b5ab-e976c06d6816.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - series", "restApi": null, "label": 681, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/965858af-9905-4ba3-b5ab-e976c06d6816", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_2000-2006_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 - 2006 changes\n\nThe processing steps are described for each dataset in this series.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The series references all versions of Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) starting with version 13.\n\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "cfecabd3-ec0b-4c6e-bec3-aa0666971958", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cfecabd3-ec0b-4c6e-bec3-aa0666971958.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - series", "restApi": null, "label": 682, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cfecabd3-ec0b-4c6e-bec3-aa0666971958", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_2000-2006_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 - 2006 changes\n\nThe processing steps are described for each dataset in this series.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The series references all versions of Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) starting with version 13.\n\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "13c2cc2f-3cea-4d83-8496-c635f68f7f91", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13c2cc2f-3cea-4d83-8496-c635f68f7f91.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - series", "restApi": null, "label": 683, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13c2cc2f-3cea-4d83-8496-c635f68f7f91", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_1990-2000_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 - 2000 changes\n\nThe processing steps are described for each dataset in this series.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The series references all versions of Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) starting with version 13.\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "d72a2a90-4f32-43dc-bc4e-5d1b2d493c27", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d72a2a90-4f32-43dc-bc4e-5d1b2d493c27.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - series", "restApi": null, "label": 684, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d72a2a90-4f32-43dc-bc4e-5d1b2d493c27", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_1990-2000_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 - 2000 changes\n\nThe processing steps are described for each dataset in this series.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The series references all versions of Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) starting with version 13.\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "def7ac06-7d3f-4da5-880c-a76a73953cfc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Bio-geographical regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/def7ac06-7d3f-4da5-880c-a76a73953cfc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "biodiversity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Biogeographical regions, Europe 2015, version 2", "restApi": null, "label": 685, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright\n\nInherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012:\nThe source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/def7ac06-7d3f-4da5-880c-a76a73953cfc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_biogeo-regions_2015_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\n\nChanges in version 2011: \n\u2022 Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\n\nChanges in version 2015:\n\u2022 Update of coast lines (the Caspian and Black Sea)\n\u2022 Update Ukraine from continental to Pannonian region\n\u2022 Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan\n\nChanges in 2015, version 2:\n\u2022 Errors in the delineation of the ATL region have been corrected.\n\nThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\n\nThe 2015 version includes updated delineations of regions in Caucasus area.\n\nThis version (2015, version 2) corrects an error in the delineation of the ATL region contained in the release 2015, version 1.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "df69de7e-3af1-4b4d-94d4-8bebe84c80b0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/df69de7e-3af1-4b4d-94d4-8bebe84c80b0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe - version 2.1, Dec. 2015", "restApi": null, "label": 686, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df69de7e-3af1-4b4d-94d4-8bebe84c80b0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_xxx_xxx_ecosystem-types_2006_rev2-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\nThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\n\nThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\n\nThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\n\nThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "239a2b86-f15d-467d-8079-f6de3b65ed90", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/239a2b86-f15d-467d-8079-f6de3b65ed90.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Zones in relation to EU air quality thresholds in 2010 - version 2, November 2012", "restApi": null, "label": 687, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/zones-in-relation-to-eu-air-quality-thresholds-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/239a2b86-f15d-467d-8079-f6de3b65ed90", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_1_mio_zones-aq-thresholds_2010_rev2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Spatialite", "sdiElon": null, "lineage": "Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\n\t\t\t\t Data is reported under Annual report (questionnaire) on air quality assessment and management (2004/461/EC) [http://rod.eionet.europa.eu/obligations/389]\n\t\t\t\t National deliveries can be found at http://cdr.eionet.europa.eu/recent_etc?RA_ID=389 ETC-ACM assembles the European dataset from them. Feedback to countries following QA can be seen at the same location.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Member States provide an annual assessment of air quality in comparison to EU air quality thresholds.\n\t\t\tCommission Decision 2004/461/EC provides a questionnaire to be used by the Member States for the annual reporting under the Framework Directive and the related four Daughter Directives 1999/30/EC, 2000/69/EC, 2002/3/EC and 2004/107/EC. Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead.\n\nMore information about EU air quality standards is available on the DG Environment web site at http://ec.europa.eu/environment/air/quality/standards.htm.\n\nPursuant to Article 22 of Directive 2008/50/EC, Member States may notify to the Commission when in their opinion the conditions are met in a given zone or agglomeration for postponing the attainment deadline for the limit values for nitrogen dioxide and benzene, or for being exempt from the limit values for PM10. More information is available at: http://ec.europa.eu/environment/air/quality/legislation/time_extensions.htm .\n\nAdditional information is available in The annual technical overview and analysis of the reports submitted by Member States (http://acm.eionet.europa.eu/databases/aq-questionnaire/annual_reports_aqq.html).\n\n\nZones are designated for the following pollutants:\n B \u2013 Benzene;\n BaP \u2013 Benzo(a)pyrene;\n C \u2013 Carbon Monoxide;\n L \u2013 lead;\n AsCdNi \u2013 Heavy metals: Arsenic, Cadmium, Nickel;\n NH \u2013 Nitrogen Dioxide for human protection;\n NV \u2013 NOx for vegetation protection;\n O \u2013 ozone;\n PM10 \u2013 particulate matter less than 10 microgrammes;\n PM25 \u2013 particulate matter less than 2.5 microgrammes;\n SE \u2013 SO2 for ecosystems protection;\n SH \u2013 SO2 for human protection.\n\n************\nIn this revision 2, Montenegro was added to the SE and NV datasets.\n************", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "e8a366b7-0029-44d7-ae33-7578253179c0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8a366b7-0029-44d7-ae33-7578253179c0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe based on EUNIS level 1 (raster 100m) - version 2.1, Dec. 2015", "restApi": null, "label": 688, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8a366b7-0029-44d7-ae33-7578253179c0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ecosystem-types-l1_2006_rev2-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\nThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 1) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\n\nThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\n\nThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\n\nThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "cbeb0b45-dfe1-4735-a955-25706fb8e9bd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cbeb0b45-dfe1-4735-a955-25706fb8e9bd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe based on EUNIS level 1 (raster 1km) - version 2.1, Dec. 2015", "restApi": null, "label": 689, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbeb0b45-dfe1-4735-a955-25706fb8e9bd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_ecosystem-types-l1_2006_rev2-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment \u2013 Concept, Data, and Implementation.\nThe basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 1) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type.\n\nThe data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD).\n\nThe objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps.\n\nThe MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "a073443a-1a83-4abc-b848-cb1394b56ae4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a073443a-1a83-4abc-b848-cb1394b56ae4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "collective wastewater treatment|waste water discharge", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Agglomerations - version 4, Dec. 2012", "restApi": null, "label": 690, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a073443a-1a83-4abc-b848-cb1394b56ae4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_100_k_uwwtd-agglo_2007-2011_rev4", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Some records are reporting erroneous lat/long coordinates:\nwhen features are clearly erroneous, they are removed.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset contains information on agglomerations with generated load \u2265 2000 P.E., including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "dd31c70b-031d-46c7-b11c-e46c23ba0e00", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dd31c70b-031d-46c7-b11c-e46c23ba0e00.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "collective wastewater treatment|waste water discharge", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Discharge points - version 4, Dec. 2012", "restApi": null, "label": 691, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd31c70b-031d-46c7-b11c-e46c23ba0e00", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_100_k_uwwtd-disc-pts_2007-2011_rev4", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Some records are reporting erroneous lat/long coordinates:\nwhen features are clearly erroneous, they are removed.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset contains information on individual points of discharge from treatment plants or collecting systems, localisation of discharge, link to specific treatment plant, type of receiving area into which the effluent/wastwater is dicharged, related waterbody (or river basin), information on the discharge on land.\nThe table T_ReceivingAreas (uwwtd_receivingareas_v4.txt) summarises information on designated sensitive areas, date of designation, the purpose of the designation, type of sensitive areas. Moreover, the table specifies which particular article of the UWWTD is applied in regards to designation of sensitive areas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "29aee8f4-cc9f-4351-a255-453ba2f17fdf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Bio-geographical regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/29aee8f4-cc9f-4351-a255-453ba2f17fdf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "biodiversity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Biogeographical regions, Europe 2015, version 1", "restApi": null, "label": 692, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright\n\nInherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012:\nThe source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/29aee8f4-cc9f-4351-a255-453ba2f17fdf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_biogeo-regions_2015_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\n\nChanges in version 2011: \n\u2022 Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\n\nChanges in version 2015:\n\u2022 Update of coast lines (the Caspian and Black Sea)\n\u2022 Update Ukraine from continental to Pannonian region\n\u2022 Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan\n\nThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\n\nThe 2015 version includes updated delineations of regions in Caucasus area.\n\nErrors in the delineation of the ATL region have been corrected in a newer release. This dataset should not be used anymore.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "54b64e62-3dff-495f-b322-514aa31b152f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/54b64e62-3dff-495f-b322-514aa31b152f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - version 2014, May 2015", "restApi": null, "label": 693, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/natura-6", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54b64e62-3dff-495f-b322-514aa31b152f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2014", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive.\n\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n \nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database .\n \nThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released. However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated.\n \nThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\n \nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n \nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n\nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c90a8e6e-6c9b-4c22-be93-1f194af0d4f6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c90a8e6e-6c9b-4c22-be93-1f194af0d4f6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land use|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban atlas - outline", "restApi": null, "label": 694, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-atlas/urban-atlas-outline", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c90a8e6e-6c9b-4c22-be93-1f194af0d4f6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_k_urban-atlas-outline_2004-2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Area outlines have been extracted using ST_Union within PostGIS v2.0", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset contains the outline of the various areas mapped under Urban Atlas.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c773f1a8-16ed-4f7a-91aa-f7475105f805", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c773f1a8-16ed-4f7a-91aa-f7475105f805.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - end 2012", "restApi": null, "label": 695, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/natura-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c773f1a8-16ed-4f7a-91aa-f7475105f805", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing two releases a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database.\nThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States.\nThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5def38dd-eb68-4710-afd0-e92c64c76413", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5def38dd-eb68-4710-afd0-e92c64c76413.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - end 2012 - revision 1", "restApi": null, "label": 696, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/natura-4", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5def38dd-eb68-4710-afd0-e92c64c76413", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2012_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing two releases a year.\n\nRevision 1: Improvement of positional accuracy for Luxembourg features (60 features).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database.\nThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States.\nThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "16908436-12ec-414a-a78c-47eb38514345", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/16908436-12ec-414a-a78c-47eb38514345.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for Reunion island - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 697, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16908436-12ec-414a-a78c-47eb38514345", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_32740_1_mio_wise-gwb-public-reunion_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs located in Reunion are aggregated in the shape Reunion. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": "EPSG:32740", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The sixteen Ground Water Basins of the Reunion Island are merged into a separate shape due to the location in the southern hemisphere resulting in a deviating map projection. All GWBs in Reunion are assigned to horizon 1.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "fec237c7-49f2-42b6-ba13-dc3cbebb43d9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fec237c7-49f2-42b6-ba13-dc3cbebb43d9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 harmonised changes, formation code in changed areas (raster 100m)", "restApi": null, "label": 698, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fec237c7-49f2-42b6-ba13-dc3cbebb43d9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation-harmonised_1990-2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include:\n - Delineation of change features larger than 5 ha based on IMAGE1990 and IMAGE2000 satellite imagery + ancillary data,\n - Merging country databases into a European database,\n - Rasterization of European CLC-change(1990-2000)data (CELL CENTER method)\n - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset\n\nCLC-changes (1990-2000) raster data have been harmonized with CLC-changes (2000-2006) raster data.\nMore information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "100m resolution raster version of the European CLC-changes (1990-2000) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b2a0e6f2-142c-4554-b6c1-ead08d6b88de", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b2a0e6f2-142c-4554-b6c1-ead08d6b88de.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for Reunion island - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 699, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b2a0e6f2-142c-4554-b6c1-ead08d6b88de", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_32740_1_mio_wise-gwb-reunion_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs located in Reunion are aggregated in the shape Reunion. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": "EPSG:32740", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The sixteen Ground Water Basins of the Reunion Island are merged into a separate shape due to the location in the southern hemisphere resulting in a deviating map projection. All GWBs in Reunion are assigned to horizon 1.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b0f63ca4-a269-4769-b384-5eedd64a7522", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0f63ca4-a269-4769-b384-5eedd64a7522.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Slope derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Slope, resolution 25 m)", "restApi": null, "label": 700, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0f63ca4-a269-4769-b384-5eedd64a7522", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_25_m_gsgrda-eudem-slope_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Slope dataset has been created from the EU-DEM projected to ETRS89/ETRS-LAEA according to the information available in documentation/SPEC010_a100421-SLOP.pdf", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\n\nThe projection onto an Inspire compliant grid of 25m resolution and the computation of a Slope raster have been performed by the Joint Research Centre of the European Commission (see file documentation/SPEC010_a100421-SLOP.pdf).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "27a368e0-3330-4380-be0d-7d0af093a5b7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/27a368e0-3330-4380-be0d-7d0af093a5b7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Aspect derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Aspect, resolution 25 m)", "restApi": null, "label": 701, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27a368e0-3330-4380-be0d-7d0af093a5b7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_25_m_gsgrda-eudem-aspect_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Aspect dataset has been created from the EU-DEM projected to ETRS89/ETRS-LAEA according to the information available in documentation/SPEC010_a100421-ASPC.pdf", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\n\nThe projection onto an Inspire compliant grid of 25m resolution and the computation of an Aspect raster have been performed by the Joint Research Centre of the European Commission (see file documentation/SPEC010_a100421-ASPC.pdf).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d345fe93-2ad3-488a-a2c2-1fb2cb1b4bf5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d345fe93-2ad3-488a-a2c2-1fb2cb1b4bf5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 harmonised changes, consumption code in changed areas (raster 100m)", "restApi": null, "label": 702, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d345fe93-2ad3-488a-a2c2-1fb2cb1b4bf5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption-harmonised_1990-2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include:\n - Delineation of change features larger than 5 ha based on IMAGE1990 and IMAGE2000 satellite imagery + ancillary data,\n - Merging country databases into a European database,\n - Rasterization of European CLC-change(1990-2000)data (CELL CENTER method)\n - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset\n\nCLC-changes (1990-2000) raster data have been harmonized with CLC-changes (2000-2006) raster data.\nMore information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "100m resolution raster version of the European CLC-changes (1990-2000) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5b5e72fb-b15f-4ad2-be5d-3ffc5f3c83b8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b5e72fb-b15f-4ad2-be5d-3ffc5f3c83b8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) 100 k - version 2013, Jul. 2014", "restApi": null, "label": 703, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b5e72fb-b15f-4ad2-be5d-3ffc5f3c83b8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive.\n\nNatura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n \nFor each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database .\n \nThe European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released. However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated.\n \nThe spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States.\n \nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n \nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n \nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\n\nNota: Some features over Luxembourg are shifted in this data set.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "80c1a46b-e62d-469d-aacf-71512bea81af", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/80c1a46b-e62d-469d-aacf-71512bea81af.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 harmonised changes, consumption code in changed areas (raster 100m)", "restApi": null, "label": 704, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80c1a46b-e62d-469d-aacf-71512bea81af", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption-harmonised_2000-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include:\n - Delineation of change features larger than 5 ha based on IMAGE2000 and IMAGE2006 satellite imagery + ancillary data,\n - Merging country databases into a European database,\n - Rasterization of European CLC-change(2000-2006)data (CELL CENTER method)\n - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset\n\nCLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.\nMore information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "100m resolution raster version of the European CLC-changes (2000-2006) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "e2cac092-4cbf-4765-a06e-0271f382d4a4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e2cac092-4cbf-4765-a06e-0271f382d4a4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Color shaded DEM over Europe derived from the EU-DEM (resolution 25m) - version 1, Oct. 2013", "restApi": null, "label": 705, "associatedResources": null, "sdiUseLimitation": "Access to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information.\nThe following credit must be displayed when using these data: Derived from data funded under GMES preparatory action 2009 on Reference Data Access project by the European Commission, DG Enterprise and Industry.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e2cac092-4cbf-4765-a06e-0271f382d4a4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_25_m_gsgrda-eudem-clshaded-europe_2012_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The palette applied to the EU-DEM has been derived from the wiki-1.03 palette available at http://soliton.vm.bytemark.co.uk/pub/cpt-city/wkp/template/tn/wiki-1.03.png.index.html\nThe resulting colour DEM image has then been merged with a hillshade dataset derived from the EU-DEM (using the GDAL hsv_merge.py command).\nA land/sea mask has been applied to the resulting dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "This colour shaded relief image over Europe has been created using a hillshade dataset derived from the Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) projected to ETRS-LAEA. This dataset cannot be used for analysis purposes and there are some known artefacts West of Norway.\n\nThe 1000x1000km tiles are provided as GeoTIFF with LZW compression.\nThe mosaic is provided as GeoTIFF with DEFLATE compression.\n\nOwnership of EU-DEM belongs to European Commission, DG Enterprise and Industry.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "caca3b89-d60b-4949-a556-e15c198b8faf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/caca3b89-d60b-4949-a556-e15c198b8faf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 706, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/caca3b89-d60b-4949-a556-e15c198b8faf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_xxx_1_mio_wise-gwb_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Spatialite", "sdiElon": null, "lineage": "Spatial data of GWBs was delivered by MS in a shape format, whereas many MS stored the data in separate shape files for River Basin Districts (RBD) or horizons or both. The attribute tables of the provided shape files always implied the mandatory fields of GWB code named \u201cEU_CD_GW\u201d and GWB horizon partially accompanied by varying extra columns defined by the Member States.\nAll GWBs had been merged into separate shape files according to their affiliation to horizons, but with extra shapes for Reunion and Switzerland. The attribute tables of these shape files exclusively adopt the fields \u201cEU_CD_GW\u201d and GWB. Because the GWB identifier \u201cEU_CD_GW\u201d is not unique for the polygons an artificial polygon identifier \u201cPolygon_ID\u201d is appended to the attribute table.\nThe linking between the shape files and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes deriving from the WFD reporting via XML files, has to be carried out using the column EU_CD_GW as key for joining the tables.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2011, "abstract": "A Groundwater Body (GWB) under the Water Framework Directive (WFD) Art. 2 is defined as a distinct volume of groundwater within an aquifer or aquifers, whereas an aquifer is defined as a geological layer with significant groundwater flow. This definition of a GWB allows a wide scope of interpretations.\nEU Member States (MS) are under obligation to report the GWBs including the results of the GWB survey periodically according to the schedule of the WFD. Reportnet is used for the submission of GWB data to the EEA by MS and includes spatial data as GIS polygons and GWB characteristics in an XML schema. \nThe WISE provisional reference GIS WFD Dataset on GWBs combines spatial data consisting of several shape files and certain GWB attributes in a single table submitted by the MS according to Art. 13. The GWBs are divided into horizons, which represent distinct vertical layers of groundwater resources. All GWBs assigned to a certain horizon from one to five are merged into one shape file. GWBs assigned to horizons six or seven are combined in a single further shape file. Another two shape files comprise the GWBs of Reunion Island in the southern hemisphere and the GWBs from Switzerland as a non EU MS, all of which assigned to horizon 1.\n\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1 : 10,000 to 1 : 1,000,000 and mostly in the range from 1 : 50,000 to 1 : 250,000.\nThe processing of some of the GWB shape files by GIS routines as clip or intersect in combination with a test polygon resulted in errors. Therefore a correction of erroneous topological features causing routine failures was carried out.\nHowever, the GWB layer includes a multitude of in parts very tiny, distinct areas resulting in a highly detailed or fragmented pattern. In certain parts topological inconsistencies appear quite frequently and delineation methodologies are currently varying between the MS in terms of size and three dimensional positioning of GWBs.\nThis version of the dataset has to be considered as a first step towards a consistent GWB picture throughout Europe, but it is not yet of a sufficient quality to support spatial analyses i.e. it is not a fully developed reference GIS dataset. Therefore, the layer is published as a preliminary version and use of this data is subject to certain restrictions outlined in the explanatory notes. \n\nIt should be underlined that the methodology used is still under discussion (Working Group C -Groundwater) and is not fully harmonised throughout the EU MS. \n\nFor the external publication the whole United Kingdom has to be removed due to licensing restrictions.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "7586c641-fa53-428d-97aa-c22dc354b051", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7586c641-fa53-428d-97aa-c22dc354b051.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 harmonised changes, formation code in changed areas (raster 100m)", "restApi": null, "label": 707, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7586c641-fa53-428d-97aa-c22dc354b051", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation-harmonised_2000-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include:\n - Delineation of change features larger than 5 ha based on IMAGE2000 and IMAGE2006 satellite imagery + ancillary data,\n - Merging country databases into a European database,\n - Rasterization of European CLC-change(2000-2006)data (CELL CENTER method)\n - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset\n\nCLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.\nMore information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "100m resolution raster version of the European CLC-changes (2000-2006) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "908fbf25-7769-49f5-a4c6-e54b265e44e7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Atmospheric conditions|Environmental monitoring facilities|Human health and safety", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/908fbf25-7769-49f5-a4c6-e54b265e44e7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "air quality monitoring|atmospheric composition|atmospheric pollution|transboundary pollution|troposphere", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Near real time measurements of the concentration of air pollutants for the current year", "restApi": null, "label": 708, "associatedResources": null, "sdiUseLimitation": "Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "textTable", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/908fbf25-7769-49f5-a4c6-e54b265e44e7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_t_4326_10_k_nrt-air-pollutants", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Text", "sdiElon": null, "lineage": "Near real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Near real time concentration of pollutants in ambient air, measured at ground-level by monitoring stations in Europe and transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data).\n\nAll pollutants might not be monitored at all stations.\n\nThe measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "7b0b89e3-055e-4d74-a98b-02a788b3a481", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7b0b89e3-055e-4d74-a98b-02a788b3a481.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Preliminary version of a DEM over Europe from the GSGRDA project (EU-DEM-PRE, resolution 25 m)", "restApi": null, "label": 709, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b0b89e3-055e-4d74-a98b-02a788b3a481", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_25_m_gsgrda-eudem_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system of the original EU-DEM is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.\n\nThis dataset has been projected to ETRS89/ETRS-LAEA (EPSG code 3035).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\n\nThe projection onto an Inspire compliant grid of 25m resolution has been performed by the Joint Research Centre of the European Commission.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "a6a9ee28-028e-4782-a3b1-369b1dbc5d9b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a6a9ee28-028e-4782-a3b1-369b1dbc5d9b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Administrative units from EuroBoundaryMap (raster 100m)", "restApi": null, "label": 710, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a6a9ee28-028e-4782-a3b1-369b1dbc5d9b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ebm-admin-units_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "Gtiff", "sdiElon": null, "lineage": "Data lineage\nA) Selection of features from [1], re-projection to LAEA (EPSG:3035), as described at [2]\nB) Rasterisation of selected EuroBoundaryMap features, in 100m resolution, see admin_boundaries_100m.sh [3]\nC) Import into GRASS, patching layers, export to GeoTIFF format, see [4]\n\nParent dataset\n[1] EuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=8cee3968-f302-48cc-a886-3f7d6ac36a7d \n\nRelated dataset\n[2] Administrative units from EuroBoundaryMap and GAUL (raster 1000m)\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=4c600ff2-5110-41b4-8267-821a880e8561\n\nGIS tools used\ngdal_rasterize, from the GDAL - Geospatial Data Abstraction Library, http://gdal.org\nSource code for version 1.9.0dev taken from trunk (http://trac.osgeo.org/gdal/browser/trunk)\n\nGRASS - Geographic Resources Analysis Support System, http://grass.osgeo.org/\nSource code for version 6.4.3svn taken from trunk (http://trac.osgeo.org/grass/browser/grass/trunk)\n\n[3]\nSee file admin_boundaries_100m.sh\n\n[4]\n# GRASS import\nfor f in *.tif ; do \n r.in.gdal $f out=${f%.tif}_100m\ndone\n\n# Patching layers\nGRASS 6.4.3svn (laea): > r.patch input=\"EBMv5_NUTS_3_NUTS3_100m,EBMv5_EBM_A_TAA-EQ7_NUTS3_100m, EBMv5_EBM_A_TAA-EQ7_ICC_100m,EBMv5_EBM_A_AdministrativeUnits_AU_100m,EBMv5_EBM_A_TAA-LT5orEQ7_ICC_100m\" output=\"EBMv5_NUTS3_AU_ICC_100m\"\n\n# Export to GeoTIFF format\nGRASS 6.4.3svn (laea): > r.out.gdal EBMv5_NUTS3_AU_ICC_100m out=EBMv5_100m.tif createopt=COMPRESS=DEFLATE,TILED=YES nodata=0 type=Int32", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2010, "tend": 2010, "abstract": "This dataset maps NUTS3 regions (Nomenclature of territorial units for statistics) or where not available: Administrative Units from EuroBoundaryMap onto an Inspire compliant grid with 100m resolution.\nThis dataset is to be used with its associated legend file (EBMv5_100m.legend_final).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "4974b545-a8a9-4a55-b074-dc089edb5d29", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4974b545-a8a9-4a55-b074-dc089edb5d29.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Hillshade derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Hillshade, resolution 25 m)", "restApi": null, "label": 711, "associatedResources": null, "sdiUseLimitation": "Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR.\nAll data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY.\nThey must stay strictly INTERNAL (i.e. within EU Institutions).\nOnly after acceptance of the product by DG ENTR these data may be disclosed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4974b545-a8a9-4a55-b074-dc089edb5d29", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_25_m_gsgrda-eudem-hillshade_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Hillshade dataset has been created from the Slope and Aspect datasets derived from the EU-DEM projected to ETRS89/ETRS-LAEA.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.\n\nThe projection onto an Inspire compliant grid of 25m resolution and the computation of a Hillshade raster derived from a slope and aspect datasets have been performed by the Joint Research Centre of the European Commission.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 4 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 712, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h4_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 4 are collected in the shape GWB_horizon_h4 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h4 comprises all GWBs located in the groundwater body horizon 4, which are usually underlying the groundwater bodies assigned to horizon 3.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "bd7d802f-f08d-4430-b514-362e8c443a6f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd7d802f-f08d-4430-b514-362e8c443a6f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 5 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 713, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd7d802f-f08d-4430-b514-362e8c443a6f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h5_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 5 are aggregated in the shape GWB_horizon_h5 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h5 comprises five GWBs situated in the French and Italian groundwater body horizon 5, which are usually underlying the groundwater bodies assigned to horizon 4.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 2 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 714, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h2_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 2 are aggregated in the shape GWB_horizon_h2 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h2 comprises all GWBs located in the groundwater body horizon 2. Depending on the applied method these Ground Water Bodies are either underlying the uppermost groundwater body horizon 1 or form the uppermost groundwater body resources in many parts of a MS.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "227bba8d-ae07-49ec-8600-bc93c1d8d9d1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/227bba8d-ae07-49ec-8600-bc93c1d8d9d1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 1 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 715, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/227bba8d-ae07-49ec-8600-bc93c1d8d9d1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h1_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 1 are collected in the shape GWB_horizon_h1 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.\n\nDue to licensing restrictions, UK data have been removed.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h1 comprises Ground Water Bodies of all countries but Estonia (all GWBs in horizon 0) and the United Kingdom, which are located in the usually uppermost horizon 1.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "a631fb3b-d171-4924-a44c-6e80d49fdabf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a631fb3b-d171-4924-a44c-6e80d49fdabf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 3 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 716, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a631fb3b-d171-4924-a44c-6e80d49fdabf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h3_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 3 are aggregated in the shape GWB_horizon_h3 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h3 comprises all GWBs located in the groundwater body horizon 3, which are usually underlying the groundwater bodies assigned to horizon 2.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "79a5b6c5-da5a-4cc3-9200-406fb6b745fb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/79a5b6c5-da5a-4cc3-9200-406fb6b745fb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for Switzerland - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 717, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79a5b6c5-da5a-4cc3-9200-406fb6b745fb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-ch_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Switzerland provided one shape file for each GWB. All of the GWBs are allocated to horizon 1 and are merged into a single shape file. The attribute table of the aggregated shape file includes the columns \u201cGWB_Code\u201d ,\u201cGWB_Name\u201d and \u201cHorizon\u201d. \nThere is no matching to the Microsoft Excel table GWB_attributes_2012June.xls, which provides further GWB attributes.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Switzerland as a non EU member state delivers GWB data on a voluntary basis. All 124 GWBs submitted with the update in 2012 are allocated to horizon 1.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "840383d1-6e67-44fc-9763-b2c539805be8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/840383d1-6e67-44fc-9763-b2c539805be8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizons 6 and 7 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 718, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/840383d1-6e67-44fc-9763-b2c539805be8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h6-h7_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 6 or horizon 7 are aggregated in the shape GWB_horizon_h6_h7 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": 2009, "tend": 2011, "abstract": "The shape file GWB_horizon_h6_h7 comprises thirty-one Italian GWBs located in the groundwater body horizons 6 and 7 of Sardinia. These GWBs had been reported for the first time in 2012 as an update of the reporting. They are aggregated into one shape file to underline the position that a threshold of five horizons should not be exceeded.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "fe355506-b74e-43d5-82c4-ec3467d514d8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe355506-b74e-43d5-82c4-ec3467d514d8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 0 - PUBLIC VERSION, Oct. 2012", "restApi": null, "label": 719, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-groundwater", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe355506-b74e-43d5-82c4-ec3467d514d8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-public-h0_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs without horizon allocation are aggregated in the shape GWB_horizon_h0 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.\nDue to licensing restrictions, UK data have been removed.", "crs": null, "rodUrl": null, "tbegin": 2009, "tend": 2011, "abstract": "The shape file GWB_horizon_public_h0 comprises all Ground Water Bodies of Spain lacking a horizon allocation and all GWBs of Estonia.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u00e2\u20ac\u0153Scale\u00e2\u20ac of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "9622192a-cdf7-4924-8e16-54c8bb941b11", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9622192a-cdf7-4924-8e16-54c8bb941b11.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 5 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 720, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9622192a-cdf7-4924-8e16-54c8bb941b11", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h5_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 5 are aggregated in the shape GWB_horizon_h5 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h5 comprises five GWBs situated in the French and Italian groundwater body horizon 5, which are usually underlying the groundwater bodies assigned to horizon 4.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "956bda32-67cc-4af8-bea7-61ec02f45582", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/956bda32-67cc-4af8-bea7-61ec02f45582.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 2 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 721, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956bda32-67cc-4af8-bea7-61ec02f45582", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h2_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 2 are aggregated in the shape GWB_horizon_h2 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h2 comprises all GWBs located in the groundwater body horizon 2. Depending on the applied method these Ground Water Bodies are either underlying the uppermost groundwater body horizon 1 or form the uppermost groundwater body resources in many parts of a MS.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "3b933931-f2df-4d0b-8a8a-a2c02399b75c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b933931-f2df-4d0b-8a8a-a2c02399b75c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for Switzerland - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 722, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b933931-f2df-4d0b-8a8a-a2c02399b75c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-ch_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Switzerland provided one shape file for each GWB. All of the GWBs are allocated to horizon 1 and are merged into a single shape file. The attribute table of the aggregated shape file includes the columns \u201cGWB_Code\u201d ,\u201cGWB_Name\u201d and \u201cHorizon\u201d. \nThere is no matching to the Microsoft Excel table GWB_attributes_2012June.xls, which provides further GWB attributes.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Switzerland as a non EU member state delivers GWB data on a voluntary basis. All 124 GWBs submitted with the update in 2012 are allocated to horizon 1.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 0 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 723, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h0_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs without horizon allocation are aggregated in the shape GWB_horizon_h0 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h0 comprises all Ground Water Bodies of Spain and the United Kingdom lacking a horizon allocation and all GWBs of Estonia.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u00e2\u20ac\u0153Scale\u00e2\u20ac of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "e9155857-b51e-4759-8299-f02b98f2cab7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9155857-b51e-4759-8299-f02b98f2cab7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 3 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 724, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9155857-b51e-4759-8299-f02b98f2cab7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h3_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 3 are aggregated in the shape GWB_horizon_h3 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h3 comprises all GWBs located in the groundwater body horizon 3, which are usually underlying the groundwater bodies assigned to horizon 2.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c08e3ce2-d0aa-4fbc-b768-083002f583b0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c08e3ce2-d0aa-4fbc-b768-083002f583b0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 4 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 725, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c08e3ce2-d0aa-4fbc-b768-083002f583b0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h4_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 4 are collected in the shape GWB_horizon_h4 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The shape file GWB_horizon_h4 comprises all GWBs located in the groundwater body horizon 4, which are usually underlying the groundwater bodies assigned to horizon 3.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "2a50a20d-9de9-4201-baae-f49c9d0184bf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a50a20d-9de9-4201-baae-f49c9d0184bf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizon 1 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 726, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a50a20d-9de9-4201-baae-f49c9d0184bf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h1_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 1 are collected in the shape GWB_horizon_h1 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": 2009, "tend": 2011, "abstract": "The shape file GWB_horizon_h1 comprises Ground Water Bodies of all countries but Estonia (all GWBs in horizon 0), which are located in the usually uppermost horizon 1.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5542f1b8-bcda-40a8-9615-a87819770654", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5542f1b8-bcda-40a8-9615-a87819770654.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE GWB provisional dataset for horizons 6 and 7 - INTERNAL VERSION, Oct. 2012", "restApi": null, "label": 727, "associatedResources": null, "sdiUseLimitation": "Data from UK not for dissemination.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5542f1b8-bcda-40a8-9615-a87819770654", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_wise-gwb-h6-h7_2009-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "All GWBs assigned to horizon 6 or horizon 7 are aggregated in the shape GWB_horizon_h6_h7 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields \u201cEU_CD_GW\u201d, \u201cHorizon\u201d and the artificial polygon identifier \u201cPolygon_ID\u201d.\nThe linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.", "crs": null, "rodUrl": null, "tbegin": 2009, "tend": 2011, "abstract": "The shape file GWB_horizon_h6_h7 comprises thirty-one Italian GWBs located in the groundwater body horizons 6 and 7 of Sardinia. These GWBs had been reported for the first time in 2012 as an update of the reporting. They are aggregated into one shape file to underline the position that a threshold of five horizons should not be exceeded.\n\t\t\t\nThe dbf tables of the shape files include the columns \u201cEU_CD_GW\u201d as the GWB identifier and \u201cHorizon\u201d describing the vertical positioning. The polygon identifier \u201cPolygon_ID\u201d was added subsequently, because some GWBs consist of several polygons with identical \u201cEU_CD_GW\u201deven in the same horizon.\nSome further GWB characteristics are provided with the Microsoft Excel file \u201cGWB_attributes_2012June.xls\u201d including the column \u201cEU_CD_GW\u201d, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column \u201cEU_CD_GW\u201d.\n\nThe spatial resolution is given for about a half of the GWBs in the column \u201cScale\u201d of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1c269e7d-5a86-465c-8a97-00df04fa7d80", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c269e7d-5a86-465c-8a97-00df04fa7d80.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|national boundary|sub-national boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap - version 10, Feb. 2016", "restApi": null, "label": 728, "associatedResources": null, "sdiUseLimitation": "License\nFor further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf\nFor dissemination to contractors, the form to be filled in and returned to Atanas Trifonov at Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c269e7d-5a86-465c-8a97-00df04fa7d80", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm_i_2015_v10_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Please refer to the documents EBM_v10_QualityReport.pdf and EBM_v10_Changes.pdf under EuroBoundaryMap_v10/Descriptions_Metadata", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\n\nFeature catalogue:\na) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\nb) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\nc) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\nd) Label points (..)\ne) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\nf) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\ng) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\nh) Names of administrative units [EBM_NAM]\ni) Designations of administrative hierarchical levels [EBM_ISN]\nj) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS])\nk) Languages and character sets (Description of languages used in EBM [EBM_CHR])\nl) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered])\n\nThe product EBM v10 is a full update of all countries. More details are available in EBM_v10_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009, built-up changes 100m - Jan. 2013", "restApi": null, "label": 729, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_built-up-changes_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Not available.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Built-up changes (built-up area is area with degree of imperviousness between 1 and 100%)\n\nClasses:\n0:\tArea outside of WR (Working Region)\n1:\tBuilt-up increase 06-09 ('true' change derived by modelling)\n2:\tBuilt-up 06 - built-up 09 (no change)\n3:\tBuilt-up decrease 06-09 ('true' change derived by modelling) \n4:\tBuilt-up 06 - clouds 09 (no update possible)\n5:\tNon built-up 06 - clouds09 (no update possible)\n6:\tBuilt-up 09 - clouds 06 (only status information 2009)\n7:\tNon built-up 09 - clouds06 (only status information 2009)\n8:\tClouds 2006 - clouds 2009 (no information available)\n9:\tNon built-up 06 - non built-up 09 (no change)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1e30596c-10a8-48e2-81ab-1dd42962d701", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e30596c-10a8-48e2-81ab-1dd42962d701.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009, changes 20m - Jan. 2013", "restApi": null, "label": 730, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e30596c-10a8-48e2-81ab-1dd42962d701", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_imperviousness-changes_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Not available.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster datasets indicating changes in degrees of imperviousness. All changes included in the data, regardless of their spatial extent or degree. Changes are expressed as follows:\n\nDegree 2009 \u2013 Degree 2006 + 100.\n\nClasses:\n0\u201399:\tDecreased imperviousness density\n100:\tUnchanged areas with degrees of imperviousness between 1 and 100\n101\u2013200:Increased imperviousness density\n201:\tUnchanged areas with degree of imperviousness of 0\n251:\tunclassifiable (no satellite image available, or clouds, shadows, or snow) in 2006\n252:\tunclassifiable (no satellite image available, or clouds, shadows, or snow) in 2009\n253:\tunclassifiable (no satellite image available, or clouds, shadows, or snow) in 2006 and 2009\n255:\tArea outside of working region", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5ebd8e77-c111-4d32-a920-517b5274c17b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5ebd8e77-c111-4d32-a920-517b5274c17b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006, degrees of sealing 20m - Jan. 2013", "restApi": null, "label": 731, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5ebd8e77-c111-4d32-a920-517b5274c17b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_revised-soil-sealing-degrees_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (20 x 20 m).\n\t\t\t\nClasses:\n0: \tUnsealed\n1-100: \tDegrees of Sealing / Imperviousness\n254: \tClouds, No data\n255:\tOutside area", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b3865a4f-43d2-465f-8ead-994f47b94035", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b3865a4f-43d2-465f-8ead-994f47b94035.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006, 20m sealing degrees adaptations - Jan. 2013", "restApi": null, "label": 732, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3865a4f-43d2-465f-8ead-994f47b94035", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_revised-soil-sealing-degrees-adaptations_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster data set of adaptations in built-up area done during the revision of the Sealing Degrees layer 2006.\n\t\t\t\nClasses:\n0: \tArea outside of working area\n1: \tBuilt-up\n2: \tNon built-up\n3:\tRemoved\n4:\tAdded\n5:\tNo data", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness 2009, built-up mask 20m - Jan. 2013", "restApi": null, "label": 733, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_imperviousness-built-up-mask_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The built-up mask is the status map of 2009. It contains all available built-up information. It is derived from the Imperviousness Degrees product.\nThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\n\nClasses:\n0:\tArea outside of WR\n1:\tDiscontinuous Built-up 2009 - Sealing Levels 1-79%\n2:\tContinuous Built-up 2009 - Sealing Levels 80-100%\n3:\tNon built-up 2009\n4:\tClouds 09 (excluding built-up 06 within clouds 09)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "e52a9d6b-402d-4926-a3ad-d098ca3a3315", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e52a9d6b-402d-4926-a3ad-d098ca3a3315.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness 2009 - Jan. 2013", "restApi": null, "label": 734, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e52a9d6b-402d-4926-a3ad-d098ca3a3315", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_xxx_m_imperviousness_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the report entitled \"Delivery Report Revised Soil Sealing 2006 products EEA-38\" for general information.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The imperviousness 2009 datasets produced by Geoland consist in:\n- one dataset about degrees of imperviousness at 20m resolution\n- one dataset about degrees of imperviousness at 100m resolution\n- one dataset containing the number of 20m pixels used to create the 100m resolution dataset about degrees of imperviousness \n- one built-up mask at 20m resolution\n- one built-up mask at 100m resolution", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "06f9055f-4467-4167-a48e-3358134c6fcd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/06f9055f-4467-4167-a48e-3358134c6fcd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006, built-up mask 100m - Jan. 2013", "restApi": null, "label": 735, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06f9055f-4467-4167-a48e-3358134c6fcd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_revised-soil-sealing-built-up-mask_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "The built-up mask is the status map of 2006. It contains all available built-up information. It is derived from the Sealing Degrees product.\nThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\n\nClasses:\n0:\tArea outside of WR\n1:\tDiscontinuous Built-up 2006 - Sealing Levels 1-79%\n2:\tContinuous Built-up 2006 - Sealing Levels 80-100%\n3:\tNon built-up 2006\n4:\tClouds 2006", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "32d946b6-4d60-4108-bcdb-2b2e2fec5477", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/32d946b6-4d60-4108-bcdb-2b2e2fec5477.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006, degrees of sealing 100m - Jan. 2013", "restApi": null, "label": 736, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32d946b6-4d60-4108-bcdb-2b2e2fec5477", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_revised-soil-sealing-degrees_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (100 x 100 m).\n\t\t\t\nClasses:\n0: \tUnsealed\n1-100: \tDegrees of Sealing / Imperviousness\n254: \tClouds, No data\n255:\tOutside area", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "2e24b906-26e8-4217-baf3-45d159af910b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e24b906-26e8-4217-baf3-45d159af910b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009, changes 100m - Jan. 2013", "restApi": null, "label": 737, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e24b906-26e8-4217-baf3-45d159af910b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_imperviousness-changes_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Not available.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2009, "abstract": "Imperviousness Changes 2006 - 2009 (recalculation in 2012)\n\nClasses:\n0-99:\t decreased imperviousness density \n100:\t unchanged areas with imperviousness degrees of 1-100 \n101-200: increased imperviousness density \n201: \t unchanged areas with imperviousness degrees of 0 (unsealed in 2006 and 2009)\n254: \t unclassifiable (no satellite image available, or clouds, shadows, or snow) \n255: \t outside area", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "af565a00-fbd9-4fc4-a6f1-c942238b124e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af565a00-fbd9-4fc4-a6f1-c942238b124e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006, built-up mask 20m - Jan. 2013", "restApi": null, "label": 738, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af565a00-fbd9-4fc4-a6f1-c942238b124e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_revised-soil-sealing-built-up-mask_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "The built-up mask is the status map of 2006. It contains all available built-up information. It is derived from the Sealing Degrees product.\nThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\n\nClasses:\n0:\tArea outside of WR\n1:\tDiscontinuous Built-up 2006 - Sealing Levels 1-79%\n2:\tContinuous Built-up 2006 - Sealing Levels 80-100%\n3:\tNon built-up 2006\n4:\tClouds 2006", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "2b830f7a-af1a-48d2-a066-67d1958f9773", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b830f7a-af1a-48d2-a066-67d1958f9773.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness 2009, 100m degrees of imperviousness metadata - Jan. 2013", "restApi": null, "label": 739, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b830f7a-af1a-48d2-a066-67d1958f9773", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_imperviousness-degrees-metadata_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "Raster dataset containing the number of valid 20m cells used for each 100m cell of the degrees of soil sealing dataset at 100m resolution.\n\nClasses:\n0: Outside area\n1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "34ad8f74-1670-4172-88bf-e8dd6753fc6f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34ad8f74-1670-4172-88bf-e8dd6753fc6f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness changes 2006-2009, built-up changes 20m - Jan. 2013", "restApi": null, "label": 740, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34ad8f74-1670-4172-88bf-e8dd6753fc6f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_20_m_built-up-changes_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Not available.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2009, "abstract": "Built-up changes (built-up area is area with degree of imperviousness between 1 and 100%)\n\nClasses:\n0:\tArea outside of WR (Working Region)\n1:\tBuilt-up increase 06-09 ('true' change derived by modelling)\n2:\tBuilt-up 06 - built-up 09 (no change)\n3:\tBuilt-up decrease 06-09 ('true' change derived by modelling) \n4:\tBuilt-up 06 - clouds 09 (no update possible)\n5:\tNon built-up 06 - clouds09 (no update possible)\n6:\tBuilt-up 09 - clouds 06 (only status information 2009)\n7:\tNon built-up 09 - clouds06 (only status information 2009)\n8:\tClouds 2006 - clouds 2009 (no information available)\n9:\tNon built-up 06 - non built-up 09 (no change)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d58753d5-4833-4720-8fec-88420994d2fc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d58753d5-4833-4720-8fec-88420994d2fc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Imperviousness 2009, built-up mask 100m - Jan. 2013", "restApi": null, "label": 741, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d58753d5-4833-4720-8fec-88420994d2fc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_100_m_imperviousness-built-up-mask_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "The built-up mask is the status map of 2009. It contains all available built-up information. It is derived from the Imperviousness Degrees product.\nThe built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas.\n\nClasses:\n0:\tArea outside of WR\n1:\tDiscontinuous Built-up 2009 - Sealing Levels 1-79%\n2:\tContinuous Built-up 2009 - Sealing Levels 80-100%\n3:\tNon built-up 2009\n4:\tClouds 09 (excluding built-up 06 within clouds 09)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "a5c1ad0a-497b-44b2-a4c5-cd7cf7d24d93", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a5c1ad0a-497b-44b2-a4c5-cd7cf7d24d93.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 742, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5c1ad0a-497b-44b2-a4c5-cd7cf7d24d93", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_1990-2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "3e75ef70-d21d-4884-a011-93a117153b4a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3e75ef70-d21d-4884-a011-93a117153b4a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 743, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e75ef70-d21d-4884-a011-93a117153b4a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_1990-2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ae034043-d8df-4a91-88da-bc7b7269af08", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ae034043-d8df-4a91-88da-bc7b7269af08.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 744, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ae034043-d8df-4a91-88da-bc7b7269af08", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2006_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2006 vector v17 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "7bd28405-0f3f-4737-830a-ee80762c6aaf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7bd28405-0f3f-4737-830a-ee80762c6aaf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011", "restApi": null, "label": 745, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-river-basin-districts-rbds-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_rbd-f1v4_2011_rev1-4", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Refer to pdf document eea_v_3035_250_k_rbd-f1v4_2011_rev1-4_dataset_lineage.pdf", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "River Basin Districts (RBDs) and/or their subunits are the main units for the management of river basins and have been delineated by Member States under Article 3 of the Water Framework Directive. The geographic area of some RBDs span more than one country (such as the Danube) and these are known as International RBDs. Others are contained completely within a country and are known as National RBDs. River basin districts are defined as the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. Coastal waters are defined as one nautical mile from the coastline and extending, where appropriate, up to the outer limit of transitional waters. Coastal waters are included in RBDs, but this is not consistenly reported by Member States. Transitional waters are defined as bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. For more information about European waters, please visit the WISE portal (http://water.europa.eu/).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c03d5339-1dbc-4824-ad82-7133ad403def", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c03d5339-1dbc-4824-ad82-7133ad403def.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 746, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c03d5339-1dbc-4824-ad82-7133ad403def", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5bab728a-4dac-46e5-9fb5-6690b5e45274", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5bab728a-4dac-46e5-9fb5-6690b5e45274.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 16, Aug. 2011", "restApi": null, "label": 747, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bab728a-4dac-46e5-9fb5-6690b5e45274", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5ac1edb6-0d64-40cc-af26-44f85b10123a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5ac1edb6-0d64-40cc-af26-44f85b10123a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 748, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5ac1edb6-0d64-40cc-af26-44f85b10123a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "9a5cbe13-0f9f-4cb6-b57d-96dc30c196c1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a5cbe13-0f9f-4cb6-b57d-96dc30c196c1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE River basin districts (RBD) - version 1.3, Jun. 2008", "restApi": null, "label": 749, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/wise-river-basin-districts-rbds", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a5cbe13-0f9f-4cb6-b57d-96dc30c196c1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_rbd-f1v3_2008_rev1-3", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The European feature layer was originally created from country submissions under WFD, Art. 3, by JRC. Member States were asked to deliver data preferably at scale 1:250 000 but scale 1:1 000 000 were accepted. The European feature layer was further processed by WRc: 'Districts.shp' was downloaded from the JRC WISE website on June 2007 using the Synchronise Shape Files function. The European dataset were border harmonised using EuroGlobalMap 1:1 000 000 boundaries. The resulting dataset is considered as 1:1 000 000, even if individual RBDs may be much more detailed. The dataset was processed so the four RBD groupings (EU Member State/non-EU Member State, international/non-international) can be identified, see Abstract. The feature layers was handed over to EEA December 2007.\nCHANGES:Changes done at EEA in Jan-Feb 2008, version F1v0: The four feature layers (the four RBD groupings) from WRc were merged into one single feature layer to ensure geometrical consistency between the layers. Updates of Norwegian and Swedish RBDs. Geometry was corrected (gaps and overlaps removed). New attributes was appended. Changes from F1v0 to F1v1: Only changes in the attributes because of requirements in the WISE viewer. The 'ID' field was re-introduced. Corrections in 'MSCD_RBD' field. Changes from F1v1 to F1v2: Corrections in 'MSCD_RBD' field and corrections of Elbe and Odra geometries. Changes from F1v2 to F1v3: Updates of Spanish and Bulgarian RBDs. Corrections in 'MSCD_RBD' field so data reported under Art. 3 and Art. 8 are identical. 'RBD_HYCODE' populated for non-EU Member States international RBDs.\nProcess steps:Description:\n 1. Removing overlaps (ESRI Topology extension, default cluster tolerance 0.001m) \nResource name:\n msDistricts and NonEUmsDistricts \nResource date:\n 20071219 \n\n \nDescription:\n a. Rule applied: Must Not Overlap \n\n \nDescription:\n b. Subtract overlaps with the Fix Topology tool . \n\n \nDescription:\n 2. Removing gaps. (tools Union and Eliminate, default cluster tolerance 0.001m) \n\n \nDescription:\n a. Union with no gaps allowed. \n\n \nDescription:\n b. Select ID = '-1' and Eliminate \n\n \nDescription:\n c. Re-calculate geometry \n\n \nDescription:\n 3. Append new attributes \nResource name:\n Attributes made by Gabriela Vincze (Umweltsbundesamt, Vienna) \nResource date:\n 20080206 \n\n \nDescription:\n a. OBJECTID: ID \n\n \nDescription:\n b. NAME: Name of RBD (native language) \n\n \nDescription:\n c. LGE_ID: Language ID \n\n \nDescription:\n d. CTY_ID: Code for the country the part of the river basin dirtrict is lying in \n\n \nDescription:\n e. NAME_ENGL: Name of RBD (english) \n\n \nDescription:\n f. AREAKM2: Area calculated in ArcGIS in square kilometers \n\n \nDescription:\n g. EUCD_RBD: Unique RBD code, identifying national RBDs (laying completely within a MS) and international RBDs (without country codes) \n\n \nDescription:\n h. EUCD_NATRBD: Unique RBD code, identifying national RBDs (laying completely within a MS) and national pars of international RBDs (including the country code) \n\n \nDescription:\n i. MSCD_RBD: Unique RBD code submitted by MS via WFD Art. 3 reporting, national RBD code. This field is essential to the WISE viewer. \n\n \nDescription:\n j. intCode: RBD codes for non EU countries \n\n \nDescription:\n k. HYD_SYST_OCEANS: Name of the Hydrosystem (Oceans) \n\n \nDescription:\n l. HYD_SYST_SEA: Name of the Seas \n\n \nDescription:\n m. ISLANDS: Islands \n\n \nDescription:\n n. RBD HYCODE: Hydrological code of the RBDs (without country code; national RBDs and international RBDs) \n\n \nDescription:\n o. natRBD HYCODE: Hydrological code of the national RBDs \n\n \nDescription:\n p. SEA: Code of the hydrosystem and the sea \n\n \nDescription:\n q. INTERNATIONAL: Identification of national and international RBDs \n\n \nDescription:\n r. EU_MS: Identification if the country is EU member or not \n\n \nDescription:\n s. UPDATE_WHEN: Date of the update of the dataset by MS \n\n \nDescription:\n t. UPDATE_BY: Code of the MS/Person who updated the data \n\n \nDescription:\n v. META_ID: Link to metadata \n\n \nDescription:\n w. INS_WHEN: Moment of the insertion in the database \n\n \nDescription:\n x. INS_BY: Acronym of the operator \n\n \nDescription:\n y. ID: ID essential to WISE viewer \n\n \nDescription:\n z. Shape_Leng: Calculated length \n\n \nDescription:\n aa. Shape_Area: Calculated area", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2007, "tend": 2007, "abstract": "Water Framework Directive (WFD) Article 3 river basin districts (RBDs) v1.3. Definition in WFD: River basin district means the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. MS did not consistently include coastal waters in the RBD deliveries. Geographical coverage: EU Member States + Norway + Switzerland + neighbouring, international RBDs in non-EU Member States (derived from CCM1 catchments, JRC). The feature layer can be divided into four groupings by the following queries (in ArcGIS: copy and paste the query into the 'Definition Query' window in the layer properties): EU Member State RBDs: [EU_MS] = 'Y'; non-EU Member State RBDs: [EU_MS] = 'N' AND [intCode] = ''; EU Member State international RBDs: [INTERNATIONAL] = 'Y' AND [EU_MS] = 'Y'; Non-EU Member State international RBDs: [EU_MS] = 'N' AND [INTERNATIONAL] = 'Y'.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b39c998d-fcb4-4284-811a-914db3cf6009", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b39c998d-fcb4-4284-811a-914db3cf6009.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 750, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b39c998d-fcb4-4284-811a-914db3cf6009", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 vector v17 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "59f2acf3-4e1e-48ca-8234-0aeb5ff8295d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/59f2acf3-4e1e-48ca-8234-0aeb5ff8295d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 751, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59f2acf3-4e1e-48ca-8234-0aeb5ff8295d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-formation_2000-2006_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c25f1742-59b5-485c-96f5-41319feafe56", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c25f1742-59b5-485c-96f5-41319feafe56.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 752, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c25f1742-59b5-485c-96f5-41319feafe56", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "49650a38-1d2a-4678-8713-8b2d6fe82366", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/49650a38-1d2a-4678-8713-8b2d6fe82366.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 753, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49650a38-1d2a-4678-8713-8b2d6fe82366", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_1990_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 vector v17 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "182278ba-dadf-44f7-93a9-4f516dc4d912", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/182278ba-dadf-44f7-93a9-4f516dc4d912.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 250m) - version 17, Dec. 2013", "restApi": null, "label": 754, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/182278ba-dadf-44f7-93a9-4f516dc4d912", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 vector v17 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1e13d0a3-5085-43b5-aa10-672781f9b4d0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e13d0a3-5085-43b5-aa10-672781f9b4d0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 250m) - version 17, Dec. 2013", "restApi": null, "label": 755, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e13d0a3-5085-43b5-aa10-672781f9b4d0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_1990_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 1990 vector v17 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "7a53f7fa-a3db-4e51-b52f-4285de6ab7b2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7a53f7fa-a3db-4e51-b52f-4285de6ab7b2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 250m) - version 17, Dec. 2013", "restApi": null, "label": 756, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-3", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a53f7fa-a3db-4e51-b52f-4285de6ab7b2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc_2006_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2006 vector v17 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "e16f6034-0de1-4c37-9606-b5590df1d2e5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e16f6034-0de1-4c37-9606-b5590df1d2e5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 seamless (vector) - version 17, Dec. 2013", "restApi": null, "label": 757, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-vector-6", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e16f6034-0de1-4c37-9606-b5590df1d2e5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc_2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes).\nEuropean Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052.\nMostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced.\nIn order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset.\nSimplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nChanges: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added\nV6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries\nV5: 07/2011 No changes between V4 and V5 Contains data for 28 countries\nV4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries\nV3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced\nV2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included\nV1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d815c410-609d-4fb9-9062-94c3f0c14227", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d815c410-609d-4fb9-9062-94c3f0c14227.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 758, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d815c410-609d-4fb9-9062-94c3f0c14227", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 vector v16 (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "6b16b9ef-9d98-4660-a65e-b1632211139d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b16b9ef-9d98-4660-a65e-b1632211139d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 revised (raster 250m) - version 17, Dec. 2013", "restApi": null, "label": 759, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b16b9ef-9d98-4660-a65e-b1632211139d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc-revised_2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 revised (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000.\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "264e1b72-4b2f-4d99-810a-0b15aa25a9f6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/264e1b72-4b2f-4d99-810a-0b15aa25a9f6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 revised (vector) - version 17, Dec. 2013", "restApi": null, "label": 760, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/264e1b72-4b2f-4d99-810a-0b15aa25a9f6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-revised_2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges:\nVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nCHANGES:Version 16 (V1) (04/2012) Production date: April 15th, 2012 Release history: V1: 04/2012 -Initial version 27 countries included", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1662486f-e44c-45a6-bdbe-f3dc34ba7775", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1662486f-e44c-45a6-bdbe-f3dc34ba7775.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 revised (raster 100m) - version 17, Dec. 2013", "restApi": null, "label": 761, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1662486f-e44c-45a6-bdbe-f3dc34ba7775", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-revised_2000_rev17", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 revised (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000.\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cf62444f-8638-4e43-aef1-edc8d08004d4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-revised_2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 revised (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_100.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000.\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d5cd5820-90dd-4aaa-b66c-106786692f33", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_250_m_clc-revised_2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2000 revised (file geodatabase v10)\n\nRasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities\n- Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. \n- Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2]\n- And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3]\n\n[0]: docs/rasterize.sh\n[1]: docs/layer_code.list\n[2]: docs/clc_legend.csv\n[3]: docs/legend_250.vrt", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000.\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1930445c-d742-4ed0-9ca1-f5a6d6059fe2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1930445c-d742-4ed0-9ca1-f5a6d6059fe2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 revised (vector)", "restApi": null, "label": 764, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1930445c-d742-4ed0-9ca1-f5a6d6059fe2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-revised_2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|SQLite", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.\nChanges:\nVector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. \n\nCHANGES:Version 16 (V1) (04/2012) Production date: April 15th, 2012 Release history: V1: 04/2012 -Initial version 27 countries included", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "06247452-8362-4048-be1e-466ceeaeed78", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/06247452-8362-4048-be1e-466ceeaeed78.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EGM EuroGlobalMap Coastlines v2.2", "restApi": null, "label": 765, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06247452-8362-4048-be1e-466ceeaeed78", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_1_mio_egm-coastline_2006_rev22", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "The creation of this dataset is a joint effort of European National Mapping Agencies (NMAs). A listing of all partners and contact information is given in the respective metadata sections. Project Coordinator is the National Land Survey (NLS) of Finland. Additionally there are 4 Regional Coordinators (Finland, France, Germany and Ireland) and 3 Subregional Coordinators (Estonia, Greece and Spain). The National Mapping Agencies of each of the participating countries are responsible for the map elements of the areas of their respective countries.\nProcess steps:\nEach data supplier has converted its analogue and digital data into the EuroGlobalMap specifications observing the EGM Technical guidelines. Details about these processes and country specific extraction peculiarities can be found in the national lineage sections. Subregional and Regional Coordinators performed thorough interactive and automatic quality checking on the delivered data. Subsequently the coordinators compiled the national contributions into a seamless harmonized dataset, referring to international boundaries with common geometry agreed by all partners. The harmonisation process followed the rules laid down in the EGM Specifications and Technical Guidelines. Corresponding procedures were later applied to harmonize the data between EGM regions to compile the final EGM dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Andorra, Croatia, Faroe Islands, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: administrative boundaries, hydrography, transportation, settlements, elevation points, named location.\nThis metadata only refers to the coastline from EuroGlobalMap.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "obsolete", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "8bb89ffa-9b55-4e23-99eb-d9164f388aff", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bb89ffa-9b55-4e23-99eb-d9164f388aff.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (full European coverage) - version 4.0, Jan. 2009", "restApi": null, "label": 766, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bb89ffa-9b55-4e23-99eb-d9164f388aff", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-europe_i_2008_v04_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\n\nsee national lineage file\n\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\n\nAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v4.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\nFeature catalogue:\na) Administrative units (Area controlled by an administrative unit [EBM_A])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EuroBoundaryMap_v40_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d776d0a5-0a0c-4fb3-a05e-c61ec2f8e5ba", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cee3968-f302-48cc-a886-3f7d6ac36a7d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (full European coverage) - version 6.0, Apr. 2012", "restApi": null, "label": 767, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d776d0a5-0a0c-4fb3-a05e-c61ec2f8e5ba", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-europe_i_2011_v06_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\n\nsee national lineage file\n\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\n\nAll data were consistently captured using the rules described in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v6.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\nFeature catalogue:\na) Administrative units (Area controlled by an administrative authority [EBM_A])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EBM_v60_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ba91d1ee-10c8-4d72-a31b-20caa3504390", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba91d1ee-10c8-4d72-a31b-20caa3504390.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (individual countries) - version 3.0, Jan. 2008", "restApi": null, "label": 768, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba91d1ee-10c8-4d72-a31b-20caa3504390", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-countries_i_2007_v03_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|PGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\nSee national lineage files\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\nAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping Agencies (NMAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100.000) offers the combined strength of detailed European administrative units and the linkage to its corresponding NUTS codes.\na) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P where XX is a country code])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L where XX is a country code])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EuroBoundaryMap_v30_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "8cee3968-f302-48cc-a886-3f7d6ac36a7d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cee3968-f302-48cc-a886-3f7d6ac36a7d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011", "restApi": null, "label": 769, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8cee3968-f302-48cc-a886-3f7d6ac36a7d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-europe_i_2010_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\n\nsee national lineage file\n\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\n\nAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v5.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\nFeature catalogue:\na) Administrative units (Area controlled by an administrative authority [EBM_A])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EuroBoundaryMap_v50_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "fdb7acc4-fae1-4990-9409-a8dfe22176ae", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fdb7acc4-fae1-4990-9409-a8dfe22176ae.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (individual countries) - version 5.0, Jan. 2011", "restApi": null, "label": 770, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fdb7acc4-fae1-4990-9409-a8dfe22176ae", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-countries_i_2010_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\n\nsee national lineage file\n\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\n\nAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v5.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\nFeature catalogue:\na) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P where XX is a country code])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L where XX is a country code])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EuroBoundaryMap_v50_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "9b32607e-c99c-4050-a9e1-2113cf92e07e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9b32607e-c99c-4050-a9e1-2113cf92e07e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (individual countries) - version 4.0, Jan. 2009", "restApi": null, "label": 771, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9b32607e-c99c-4050-a9e1-2113cf92e07e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-countries_i_2008_v04_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\n\nsee national lineage file\n\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\n\nAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2008, "tend": 2008, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v4.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes.\nFeature catalogue:\na) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P where XX is a country code])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L where XX is a country code])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EuroBoundaryMap_v40_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ec110dd8-598a-4d6a-8f5a-7027ff111aa8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec110dd8-598a-4d6a-8f5a-7027ff111aa8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (full European coverage) - version 3.0, Jan. 2008", "restApi": null, "label": 772, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec110dd8-598a-4d6a-8f5a-7027ff111aa8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4326_100_k_ebm-europe_i_2007_v03_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|PGeo|SHP", "sdiElon": null, "lineage": "complete dataset covering all countries listed in \"geographic description\" (ISO-ID 348)\nSee national lineage files\nAll features have been populated and have valid attribute values in accordance with the specification (see national metadata files).\nAll data were consistently captured using the rulesdescribed in the specification (see national metadata files).", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2007, "tend": 2007, "abstract": "EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping Agencies (NMAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100.000) offers the combined strength of detailed European administrative units and the linkage to its corresponding NUTS codes.\na) Administrative units (Area controlled by an administrative unit [EBM_A])\nb) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P])\nc) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L])\nd) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X])\nMore details are available in EuroBoundaryMap_v30_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "658f9a54-2820-46b0-9e2c-961f43e38154", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/658f9a54-2820-46b0-9e2c-961f43e38154.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (full European coverage) - version 8.1, Apr. 2014", "restApi": null, "label": 773, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/658f9a54-2820-46b0-9e2c-961f43e38154", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm-europe_i_2013_v08_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|Fgeo", "sdiElon": null, "lineage": "Please refer to the documents EBM_v81_QualityReport.pdf and EBM_v81_Changes.pdf under EuroBoundaryMap_v81/Descriptions_Metadata", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\n\nThe product EBM v8.1 is a full update of all countries.\n\n\nFeature catalogue:\na) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\nb) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\nc) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\nd) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\ne) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\nf) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\ng) Names of administrative units [EBM_NAM]\nh) Designations of administrative hierarchical levels [EBM_ISN]\ni) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS])\nj) Languages and character sets (Description of languages used in EBM [EBM_CHR])\nk) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered])\n\nMore details are available in EBM_v81_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "8c73e988-50a7-4707-a835-a2ad2fcd8c5a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c73e988-50a7-4707-a835-a2ad2fcd8c5a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap - version 9.1, Jun. 2015", "restApi": null, "label": 774, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c73e988-50a7-4707-a835-a2ad2fcd8c5a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm_i_2014_v09_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Please refer to the documents EBM_v91_QualityReport.pdf and EBM_v91_Changes.pdf under EuroBoundaryMap_v91/Descriptions_Metadata", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\n\nFeature catalogue:\na) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\nb) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\nc) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\nd) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\ne) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\nf) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\ng) Names of administrative units [EBM_NAM]\nh) Designations of administrative hierarchical levels [EBM_ISN]\ni) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS])\nj) Languages and character sets (Description of languages used in EBM [EBM_CHR])\nk) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered])\n\nThe product EBM v9.1 is a full update of all countries. More details are available in EBM_v91_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "f917855c-8fde-44dd-99f1-7849060e1844", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f917855c-8fde-44dd-99f1-7849060e1844.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (full European coverage) - version 7.0, Oct. 2013", "restApi": null, "label": 775, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f917855c-8fde-44dd-99f1-7849060e1844", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm-europe_i_2012_v07_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "Please refer to the document EBM_v70_QualityReport.pdf", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\nFeature catalogue:\na) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\nb) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\nc) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\nd) Label points (Reference point of an administrative unit on lowest level; not available in the standard EBM v7.0 product; included in the Eurostat version [EBM_P])\ne) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\nf) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\ng) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\n\nMore details are available in EBM_v70_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "714900b3-ddec-4b41-8bed-b1f93fb2eb8a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/714900b3-ddec-4b41-8bed-b1f93fb2eb8a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap (individual countries) - version 7.0, Oct. 2013", "restApi": null, "label": 776, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/714900b3-ddec-4b41-8bed-b1f93fb2eb8a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm-countries_i_2012_v07_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "Please refer to the document EBM_v70_QualityReport.pdf", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\nFeature catalogue:\na) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A])\nb) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x])\nc) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary])\nd) Label points (Reference point of an administrative unit on lowest level; not available in the standard EBM v7.0 product; included in the Eurostat version [EBM_P])\ne) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority])\nf) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x])\ng) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x])\n\nMore details are available in EBM_v70_Specification.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": "superseded", "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "4a038ec2-f132-485e-a8e7-bc1043d8ca2f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Soil|Transport networks", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a038ec2-f132-485e-a8e7-bc1043d8ca2f.png", "shortName": "Fragmentation_MEFF_MajorRoads", "fileSystemPath": null, "gemetConcepts": "animal corridor|animal habitat|built environment|built-up area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Landscape fragmentation Effective Mesh Size: major anthropogenic fragmenting elements (FGA1-M), version 2.0, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_anthropogenic_fragmentation_effective_mesh_size/MapServer", "label": 777, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_use", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a038ec2-f132-485e-a8e7-bc1043d8ca2f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_fga1-m_20111130-20160831_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Copernicus High Resolution Layer - Imperviousness degree is source layer for the build-up area (30% of IMD is threshold for the build-up area selection). The Open Street Map (OSM) database is the source of the transport routes. Only these elements from the OSM are included in the major anthrophogenic fragmentation: motorways and motorways links,\ttrunk and trunk links, primary roads and primary roads links, railroads. Tunnels are excluded from the dataset.\nThe mapping computation steps are:\n1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer \n2) selection of transport routes relevant to the fragmentation geometry\n3) deleting of tunnels from the transport routes\n4) creating of buffers around the transport routes. A buffer size is dependent on the route class\n6) erasing of build-up areas and the buffered routes from the seamless EEA39 territory layer\n7) computation of meff values for each reference units\n\nFor a detailed methodology, please consult the indicator fact sheet.\nhttp://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.6-first-draft-indicator-fragmentation-ecosystems-and-habitats/deliverables/indicator-factsheet-part", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion, considering major roads only. The computation is based on the method of Effective Mesh Size (meff, Jaeger 2000). The effective mesh size (meff) can be interpreted as the area that is accessible to animals when starting a movement at a randomly chosen point inside a landscape without encountering a physical barrier. The meff expresses the probability that any two points chosen randomly in an area are connected, that is, not separated by the barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The meff is measured as an area (km2), within the cells of a 1 km2 regular grid as reporting units.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_anthropogenic_fragmentation_effective_mesh_size/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "26a23284-755f-4275-a2f2-ddefd5d60aef", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/26a23284-755f-4275-a2f2-ddefd5d60aef.png", "shortName": "forest_combined_pressures_12-17", "fileSystemPath": null, "gemetConcepts": "ecosystem|forest|forest ecosystem|forest management|forest resource|natural area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Management related pressures on forest ecosystems, Dec. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/forest_management_pressures/MapServer", "label": 778, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/26a23284-755f-4275-a2f2-ddefd5d60aef", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_combined-forest-pressure_p_2012-2017_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The basic production steps are:\n1. Categorization of potential forest management approach\n2. Comparison of forest harvest and regrowth and classification in terms of sustainability\n3. Evaluation forest patch size and connectivity\n4. Compilation of the three sub-indicators into the management related forest pressure indicator\n\nFor a detailed methodology please consult the report HNVForest_forest_pressures_reprocessing2017_data_description_20171030.pdf provided with the dataset. \n\nData sets used:\n\nTree species map (1 km grid): EFI (http://www.efi.int/portal/virtual_library/information_services/mapping_services/tree_species_maps_for_european_forests/)\nPotential forest management (1 km grid): Hengeveld (http://opendap.cgi-systems.nl/thredds/catalog/projecten/EuropeanForest/FMAmap/catalog.html)\nFast track ecosystem capital accounts (1 km grid): UMA\nHRL forest 2012 \u2013 tree cover density (20m grid): COPERNICUS\nJRC GUIDOS Morphological Spatial Pattern Analysis (MSPA) \u2013 Forest patch connectivity (input: HRL Forest 2012 \u2013 tree cover density - 20m grid): JRC / UMA", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Forest management involves various degrees of human intervention to safeguard the forest ecosystem and its functions as well as the exploitation of forest resources. While the objectives of management vary widely and include the protection of resources in protected forests and nature reserves, the primary objective is mostly the production of wood products.\n\nAlthough sustained yield forestry continues to be widely practised, there is an increasing trend towards the management of forests as ecological systems with multiple economic benefits and environmental values, ensuring that benefits meet present as well as future generations\u2019 needs. \n\nIn order to assess forest management intensity in Europe an indicator based on three data sources has been developed: a) Fast track ecosystem capital accounts (forest growth & harvest \u2013 disaggregated to 1km grid), b) Potential forest management (gradient of intensity of intervention with the natural processes in a forest) c) Forest fragmentation (forest ecosystem network connected by forest bridges \u2013 GUIDOS Morphological Spatial Pattern Analysis).\n\nEach input dataset has been assessed separately in a first step in terms of pressures on forest ecosystems which are the result of the specific management, use or respectively state of the forest patch. The overall management related pressure is then derived by crossing the relative pressures by each input and evaluating the constellation of the input representative factors.\n\nThis updated version of the management related forest pressures is based on the first assessment done in framework of the ETC-SIA report \"Land use and land management related pressures on agricultural and forest ecosystems\" (ETC-SIA, Task 1.8.4.3 Ecosystem pressures).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Forest/forest_management_pressures/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Bulgaria|Czechia|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia", "publicationDate": "2019-07-17" }, { "sdiUuid": "60c8302b-35cd-4376-9cda-865dd42fab7b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/60c8302b-35cd-4376-9cda-865dd42fab7b.png", "shortName": "European_Mountain_Areas", "fileSystemPath": null, "gemetConcepts": "altitude|climate|mountainous area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European mountain areas - version 1, Dec. 2008", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/EuropeanMountainAreas/MapServer", "label": 779, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Topography", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/60c8302b-35cd-4376-9cda-865dd42fab7b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_25_k_european-mountain_p_2008_v1_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:25000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The criteria for generating the European mountain areas data were based on the global dataset by Kapos et al. (2000), using the GTOPO30 global digital elevation model (DEM) developed by the US Geological Survey. The dataset excluded the climatic criteria for areas north of 62\u00baN. Additionally, to create continuous areas, and considering that topographic constraints play a greater role when they extend over a certain area, isolated mountainous areas of less than 10 km2 were not considered. However, non-mountainous areas of less than 10km2 within mountain massifs were included (ETC/LUSI - EEA, 2008).\n\nReferences:\nKapos, V., Rhind, J., Edwards, M., Price, M.F. and Ravilious, C. 2000.\nDeveloping a map of the world\u2019s mountain forests In M.F. Price and N. Butt (eds.)\nForests in sustainable mountain development: A state-of-knowledge report for 2000. CAB International, Wallingford: 4-9.\n\nIP2008 8.2.7 Regional and territorial development of mountain areas, ETC/LUSI - EEA", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The delineation of European mountain areas was carried out by using digital elevation models, considering different criteria combination of thresholds of altitude, climate, and topography variables (IP2008 8.2.7 Regional and territorial development of mountain areas, ETC/LUSI - EEA).\nThis dataset was created in 2008, covers the full European continent and is a reference layer for the EEA Report No 6/2010 on Europe's ecological backbone: recognising the true value of our mountain (https://www.eea.europa.eu/publications/europes-ecological-backbone).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/EuropeanMountainAreas/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Andorra|EEA39|San Marino", "publicationDate": "2019-07-19" }, { "sdiUuid": "399dab02-a09c-42cc-bbed-98b1c621157e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/399dab02-a09c-42cc-bbed-98b1c621157e.png", "shortName": "Natura2000_2018", "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 (vector) - version 2018, Apr. 2019", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Sites/MapServer", "label": 780, "associatedResources": null, "sdiUseLimitation": "There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nThis data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site.\n\nEEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/399dab02-a09c-42cc-bbed-98b1c621157e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_natura2000_p_2018_v09_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission", "distributionFormat": "Geopackage|SHP", "sdiElon": null, "lineage": "Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.\nMore information about the production of the European Natura 2000 database can be found in the document \"Natura 2000 dataflow doc 2017.docx\" available on https://www.eea.europa.eu/themes/biodiversity/document-library/natura-2000/the-natura-2000-data-flow/view.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs).\n\nThe European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated.\n\nThe descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.\n\nThe spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data.\n\nAny problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.\n\nPlease note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address:\n\nhttp://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites\n\nThere are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.\n\nBesides the web service link provided in the metadata, the following services provide information on species and habitat types inside the Natura 2000 sites:\nhttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Habitats/MapServer\nhttp://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Species/MapServer", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/Natura2000Sites/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU28", "publicationDate": "2019-06-28" }, { "sdiUuid": "e302cc81-7167-4a2a-9458-a3b8de9c62d6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Soil|Transport networks", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e302cc81-7167-4a2a-9458-a3b8de9c62d6.png", "shortName": "Fragmentation_SEFF_MajorRoads", "fileSystemPath": null, "gemetConcepts": "animal corridor|animal habitat|built environment|built-up area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Landscape fragmentation Effective Mesh Density: major anthropogenic fragmenting elements (FGA1-S) - version 2.0, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_anthropogenic_fragmentation_effective_mesh_density/MapServer", "label": 781, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_use", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e302cc81-7167-4a2a-9458-a3b8de9c62d6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_fga1-s_20111130-20160831_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The seff value is calculated based on the Effective Mesh Size (meff) index, such as seff=1000 km2/meff. Hence seff is the number of meshes per 1000 km2. The meff index expresses the probability that any two points chosen randomly in an area are connected; that is, not separated by barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The larger the meff, the more connected the landscape. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only these elements from the OSM are included in the major anthropogenic fragmentation: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, railroads. Tunnels are excluded from the dataset.The mapping computation steps are:\n1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer\n2) selection of transport routes relevant to the fragmentation geometry\n3) deleting of tunnels from the transport routes\n4) creating of buffers around the transport routes. A buffer size is dependent on the route class\n6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer\n7) computation of meff values for each 1km sq reporting unit\n8) computation of seff values for each 1km sq reporting unit\n\nSee:\nJaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130\nhttp://link.springer.com/article/10.1023/A%3A1008129329289\nMoser, B., Jaeger, J.A.G., Tasser, E., Eiselt, B., Tappeiner, U. (2007): Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecology 22,pp 447\u2013459.\nhttp://link.springer.com/article/10.1007%2Fs10980-006-9023-0", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, focusing only on major roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39.\n\nAn important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_anthropogenic_fragmentation_effective_mesh_density/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "4a03a3a9-32e7-4712-a9ee-c2789266794d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a03a3a9-32e7-4712-a9ee-c2789266794d.png", "shortName": "WISE_EIONET_spatial_datasets", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE EIONET Spatial Datasets - PUBLIC VERSION - version 1.3, Apr. 2019", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer", "label": 782, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a03a3a9-32e7-4712-a9ee-c2789266794d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-eionet_p_2001-2019_v01_r03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\ncYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\ncountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\nlat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nlon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nstatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\nstatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\nremarks:Additional information about the status code of the superseding object, if any.\nqcCheck:Additional information about checks performed in the data.\n\n2) Data sources\n\nInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\n\nAdditional information was reported under the \"WISE - Spatial Data (WISE-5)\" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\n\nFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \n\n3) Data processing\n\nThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \n\nFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\n\nThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2019-02-19. \n\nThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\nFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the \"WISE WFD Reference Spatial Datasets reported under Water Framework Directive\".\n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\nAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\nLake: Body of standing inland surface water.\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "53bb9d36-0e28-4486-aa06-dc488671c84e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Soil|Transport networks", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53bb9d36-0e28-4486-aa06-dc488671c84e.png", "shortName": "Fragmentation_MEFF_MajorMediumRoads", "fileSystemPath": null, "gemetConcepts": "animal corridor|animal habitat|built environment|built-up area|landscape", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Landscape fragmentation Effective Mesh Size: major and medium anthropogenic fragmenting elements (FGA2-M), version 2.0, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_and_medium_antropogenic_fragmentation_effective_mesh_size/MapServer", "label": 783, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_use", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53bb9d36-0e28-4486-aa06-dc488671c84e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_fga2-m_20111130-20160831_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Calculation of the effective mesh size meff is based on two main datasets: 1) the Fragmentation Geometry (FG) (i.e., the set of all elements defining the fragmentation pattern) and 2) reporting units (spatial units for which meff is calculated). The reporting units layer (in this case a regular 1km2 grid) and the Fragmentation Geometry layer are overlaid and the Meff is calculated for each reporting unit.\n\nThe Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only the following OSM elements are included in the calculation of the meff index: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, secondary roads and secondary roads links, tertiary roads and tertiary roads links, railroads. Tunnels are excluded from the dataset.\nThe mapping computation steps are:\n1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer\n2) selection of transport routes relevant to the fragmentation geometry\n3) deleting of tunnels from the transport routes\n4) creating of buffers around the transport routes. A buffer size is dependent on the route class\n6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer\n7) computation of meff values for each 1km sq reporting unit\n\nReferences:\nJaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130, http://link.springer.com/article/10.1023/A%3A1008129329289", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2016, "abstract": "The raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion. The computation is based on the method of Effective Mesh Size (meff, Jaeger 2000). The effective mesh size (meff) can be interpreted as the area that is accessible to animals when starting a movement at a randomly chosen point inside a landscape without encountering a physical barrier. The meff expresses the probability that any two points chosen randomly in an area are connected, that is, not separated by the barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The meff is measured as an area (km2), within the cells of a 1 km2 regular grid as reporting units.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_and_medium_antropogenic_fragmentation_effective_mesh_size/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "98e69309-7f04-45ee-a16b-03c08c2643ca", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98e69309-7f04-45ee-a16b-03c08c2643ca.png", "shortName": "WFD_2016", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.3, Apr. 2019", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer", "label": 784, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98e69309-7f04-45ee-a16b-03c08c2643ca", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2016_p_2016-2019_v01_r03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Geopackage|SHP", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2016, "tend": 2019, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \n\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\n\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \n\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \n\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\n\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \n\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \n\nLake: Body of standing inland surface water. \n\nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \n\nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \n\nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \n\nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \n\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "9faa6ea1-372a-4826-a3c7-fb5b05e31c52", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faa6ea1-372a-4826-a3c7-fb5b05e31c52.png", "shortName": "Coastline", "fileSystemPath": null, "gemetConcepts": "coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (polygon) - version 3.0, March 2017", "restApi": "http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/EEA_coastline_2017/MapServer", "label": 785, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Marine", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faa6ea1-372a-4826-a3c7-fb5b05e31c52", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-poly_1995-2012_rev03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Polygon: the polygon was derived from the parent dataset by adding two straight lines, one North-to-South, at the East-most part of the parent dataset, and the second one West-to-East, at the South\u2013most part of the parent dataset. These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool \u201cFeature to Polygon\u201d.\nThe Baltic lagoons have been modified with the data from SVAR geodatabase version 2012_2, Swedish Meteorological and Hydrological Institute (SMHI).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1995, "tend": 2012, "abstract": "The EEA coastline dataset is created for detailed analysis with a Minimum Mapping Unit of e.g. 1:100000, for geographical Europe. The coastline is a hybrid product obtained from satellite imagery from two projects: 1) EUHYDRO (Pan-European hydrographic and drainage database) [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and 2) GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database)[http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). \nIn this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.\n\nThis dataset is a polygon usable as a water-land mask.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://marine.discomap.eea.europa.eu/arcgis/services/Marine/EEA_coastline_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "98d63709-5a79-44a8-ac5b-fd9a08466bf1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Soil|Transport networks", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98d63709-5a79-44a8-ac5b-fd9a08466bf1.png", "shortName": "Fragmentation_SEFF_MajorMediumRoads", "fileSystemPath": null, "gemetConcepts": "animal corridor|animal habitat|built environment|built-up area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Landscape fragmentation Effective Mesh Density: major and medium anthropogenic fragmenting elements (FGA2-S) - version 2.0, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_and_medium_anthropogenic_fragmentation_effective_mesh_density/MapServer", "label": 786, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_use", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98d63709-5a79-44a8-ac5b-fd9a08466bf1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_fga2-s_20110101-20160808_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The seff value is calculated based on the Effective Mesh Size (meff) index, such as seff=1000 km2/meff. Hence seff is the number of meshes per 1000 km2. The meff index expresses the probability that any two points chosen randomly in an area are connected; that is, not separated by barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The larger the meff, the more connected the landscape. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only the following OSM elements are included in the calculation of the meff index: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, secondary roads and secondary roads links, tertiary roads and tertiary roads links, railroads. Tunnels are excluded from the dataset.\nThe mapping computation steps are:\n1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer\n2) selection of transport routes relevant to the fragmentation geometry\n3) deleting of tunnels from the transport routes\n4) creating of buffers around the transport routes. A buffer size is dependent on the route class\n6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer\n7) computation of meff values for each 1km sq reporting unit\n8) computation of seff values for each 1km sq reporting unit\n\nSee:\nJaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130\nhttp://link.springer.com/article/10.1023/A%3A1008129329289\nMoser, B., Jaeger, J.A.G., Tasser, E., Eiselt, B., Tappeiner, U. (2007): Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecology 22,pp 447\u2013459.\nhttp://link.springer.com/article/10.1007%2Fs10980-006-9023-0", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2016, "abstract": "The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39.\n\nAn important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_and_medium_anthropogenic_fragmentation_effective_mesh_density/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-07-02" }, { "sdiUuid": "b15c7595-8e41-45ff-b657-a62f411e3f42", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b15c7595-8e41-45ff-b657-a62f411e3f42.png", "shortName": "WFD_2010", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.3, Apr. 2019", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer", "label": 787, "associatedResources": null, "sdiUseLimitation": "For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b15c7595-8e41-45ff-b657-a62f411e3f42", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2010_p_2010-2019_v01_r03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Geopackage|SHP", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2019, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\n\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nRelevant concepts: \n\nRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \n\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\n\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \n\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \n\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\n\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \n\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \n\nLake: Body of standing inland surface water. \n\nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \n\nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \n\nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \n\nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \n\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden", "publicationDate": "2019-06-04" }, { "sdiUuid": "faff2281-1fca-4548-89d8-c8ec0c507bc7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover|Oceanographic geographical features|Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/faff2281-1fca-4548-89d8-c8ec0c507bc7.png", "shortName": "Ecosystem_types", "fileSystemPath": null, "gemetConcepts": "ecosystem type|environmental policy|habitat|riparian zone", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe 2012 - Full map (marine and terrestrial habitats) - version 3 revision 1, Feb. 2019", "restApi": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_FullMap/MapServer", "label": 788, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/faff2281-1fca-4548-89d8-c8ec0c507bc7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ecosystem-types-full_p_2012_v03_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data set is a composition of two independent but complementary data sets:\n\na) marine part (elaborated by EEA and ETC/ULS) \u2013 Ecosystem Type Map 2012 v3.1 - Marine habitats\nb) terrestrial part (elaborated by EEA and ETC/BD) \u2013 Ecosystem Type Map 2012 v3.1 - Terrestrial habitats\n\nThe two parts have been merged into a new data set by the \u201cMosaic To New Raster\u201d tool.\n\nInformation about the lineage of these two component datasets is provided within their corresponding metadata as well as on the ETC/BD Technical Paper 11/2018 \"Ecosystem Type Map v3.1-Terrestrial and marine ecosystems\" provided with the dataset (Ecosystem_mapping_v3_1.pdf).", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set aims to contribute to a better biological characterization of marine and terrestrial ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 2 for terrestrial habitats and corresponding Level 3 for marine habitats (including information on sea ice coverage).\n\nThe map combines spatially explicit data on marine bathymetry and sea-bed and land cover information with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centres ETC/BD and ETC/ULS is to improve the biological description of marine and land based ecosystem types and their spatial distribution across Europe.\n\nSince it is partly based on non-spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. For terrestrial habitats the geometric and thematic accuracy is estimated in the reliability map 2012 v3.1 as secondary product.\n\nThe work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The MAES ecosystem typology differentiates three levels and with certain differences follows the EUNIS classification: whereas MAES level 2 the proposal corresponds to EUNIS level 1, MAES level 3 follows closely the EUNIS level 2. For terrestrial habitats a representation of MAES level 2 is contained in the reliability map as secondary product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_FullMap/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "0c1a7253-a6d5-43d2-8eb7-49836b11ce53", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1a7253-a6d5-43d2-8eb7-49836b11ce53.png", "shortName": "Elevation_Breakdown_100m", "fileSystemPath": null, "gemetConcepts": "land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Elevation Breakdown based on EU-DEM (resolution 100m), Dec. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Elevation/Elevation_Breakdown_2012_100m/MapServer", "label": 789, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Topography", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1a7253-a6d5-43d2-8eb7-49836b11ce53", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ebk-eudem_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This version of the Elevation Breakdown was created as an update using the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 25 m). Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains.\n\nInput layers include: \n- EUDEM resampled to 100m (derived from EU-DEM 25m)\n- Coastline and reference mask, provided by GISAT.\nDetailed methodology is available on http://forum.eionet.europa.eu/etc-sia-consortium/library/2012_subvention/261_2_ludc/133_elevation_data/elevation-breakdown-final-report-1 (section 2).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.This layer is an updated version using similar methodology to the one created on 2006 (same classes and thresholds) but it has been generated using up-to-date high resolution datasets (EU-DEM) in order to create a more accurate layer.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Elevation/Elevation_Breakdown_2012_100m/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA32", "publicationDate": "2019-06-04" }, { "sdiUuid": "ab0e6d0b-699c-473d-bd5e-e5c634c8f99c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ab0e6d0b-699c-473d-bd5e-e5c634c8f99c.png", "shortName": "Forest_Type_20m_2015", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Type 2015 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestType_2015/MapServer", "label": 790, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab0e6d0b-699c-473d-bd5e-e5c634c8f99c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_fty_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type information (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. The 20m Forest Type product has been finally aggregated to 100m considering the CORINE Land Cover (CLC) definition of broadleaved, coniferous and mixed forest. Trees under agricultural or urban use as provided by the Forest Additional Support Layer (FADSL) have been explicitly excluded to follow the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "6e6d80b9-9563-4260-a78e-1ff3644b84a8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e6d80b9-9563-4260-a78e-1ff3644b84a8.png", "shortName": "UrbanSprawl_UD_09", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Utilisation Density (UD) 2009 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UD_1km_2009y/MapServer", "label": 791, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e6d80b9-9563-4260-a78e-1ff3644b84a8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_ud2009_2008-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) UD values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nBesides WUP and its components, the other indicator was calculated:\nUtilisation Density (UD). UD measures the number of people living and working per km2 of built-up area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UD_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EFTA4|EU28", "publicationDate": "2019-06-04" }, { "sdiUuid": "07809c04-c010-4203-85ef-bb801dec84a3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/07809c04-c010-4203-85ef-bb801dec84a3.png", "shortName": "UrbanSprawl_DIS_06", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Degree of Urban Dispersion (DIS) 2006 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/DIS_1km_2006y/MapServer", "label": 792, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/07809c04-c010-4203-85ef-bb801dec84a3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_dis2006_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) DIS values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). DIS is input to the Weighted Urban Proliferation (WUP) metric, which has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nThe new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nThe DIS dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/DIS_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "b48b206d-a710-47c9-8805-6fafbd335a22", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b48b206d-a710-47c9-8805-6fafbd335a22.png", "shortName": "UrbanSprawl_UP_06", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Permeation (UP) 2006 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UP_1km_2006y/MapServer", "label": 793, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b48b206d-a710-47c9-8805-6fafbd335a22", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_up2006_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) UP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Urban Permeation (UP) is a measure of the permeation of a landscape by built\u2011up areas; it describes the degree to which the landscape is permeated by patches of built-up area. It is calculated from the new urban sprawl metric \"Weighted Urban Proliferation\u201c (WUP). Weighted Urban Proliferation is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nThe WUP metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nUP is a product of PBA and DIS. It represents the spread of the built-up areas in the landscape. UP is expressed in urban permeation units per m2 of land (UPU/m2).\nThe UP dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "17b26358-df10-4def-9991-fb395ce64933", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/17b26358-df10-4def-9991-fb395ce64933.png", "shortName": "Imperviousness_Density_100m_2006", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2006 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer", "label": 794, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/17b26358-df10-4def-9991-fb395ce64933", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imd_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "af1d948d-c173-4ce1-8e5a-bd241f5331e7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af1d948d-c173-4ce1-8e5a-bd241f5331e7.png", "shortName": "UrbanSprawl_PBA_06", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Percentage of Built-up Area (PBA) 2006 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/PBA_1km_2006y/MapServer", "label": 795, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af1d948d-c173-4ce1-8e5a-bd241f5331e7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_pba2006_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) PBA values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2006, "abstract": "Percentage of built-up area (PBA) measures how large the built-up areas are (in % of the landscape). \nPBA is a component of the new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP). WUP is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nValues for landscapes of differing sizes can be directly compared because PBA is an intensive metric, i.e., the value does not depend on the size of the landscape.\nThe PBA dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/PBA_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "9428d406-189d-4c6e-8779-7ff8df64be81", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9428d406-189d-4c6e-8779-7ff8df64be81.png", "shortName": "UrbanSprawl_WUP_06", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Weighted Urban Proliferation (WUP) 2006 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/WUP_1km_2006y/MapServer", "label": 796, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9428d406-189d-4c6e-8779-7ff8df64be81", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_wup2006_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) WUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2006, "abstract": "The new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/WUP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Bulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia", "publicationDate": "2019-06-04" }, { "sdiUuid": "94530236-1a4e-450f-8ae4-87899dc4b141", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94530236-1a4e-450f-8ae4-87899dc4b141.png", "shortName": "Forest_Naturalness_Carpathians", "fileSystemPath": null, "gemetConcepts": "ecological parameter|forest|forest ecosystem|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Forest naturalness, species assemblages in the Carpathians (KEO), Oct. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/ForestNaturalnessCarpathians/MapServer", "label": 797, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94530236-1a4e-450f-8ae4-87899dc4b141", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_naturalness-species-keo_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Naturalness indicator, as described in the EEA technical report 13/2014, is equal to the relation between the high percentage of natural species presence and the percentage of forest coverage, providing an indication of the level of natural forest species available in a forest ecosystem. In this calculation on Carpathian region, the species of interest were selected from the distribution maps from the European Forest Inventory (Brus, et al., 2011), grouped following the spatial distribution provided by (Barbati et al., 2013) and divided by percentage of available forest obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA).\nMore details on the creation of this indicator are available in the final report \"ETCULS1835_RegionalCoperation_CarpathiansReport.pdf\". \nThe document \"ForestN.docx\" available for download provides information about the quality checks performed on the dataset.\nReferences:\nDeveloping a forest naturalness indicator for Europe. Concept and methodology for a high nature value (HNV) forest indicator (EEA Technical report No 13/2014) available on https://www.eea.europa.eu/publications/developing-a-forest-naturalness-indicator.\nBarbati et al. (2013). European Forest Types and Forest Europe SFM indicators: Tools for monitoring progress on\nforest biodiversity conservation. Forest ecol. manage.\nBrus, D., Hengeveld, G., Walvoort, D., Goedhart, P., Heidema, A., Nabuurs, G., et al. (2011). Statistical mapping\nof tree species over Europe. European Journal of Forest Research, 131(1), 145\u2013157.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The naturalness dataset is calculated as a species assemblages likeliness over the forest coverage. It has been produced for the entire Carpathian region included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication \"Europe\u00b4s ecological backbone: recognising the true value of our mountains\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Forest/ForestNaturalnessCarpathians/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Czechia|Hungary|Poland|Romania|Serbia|Slovakia|Ukraine", "publicationDate": "2019-06-04" }, { "sdiUuid": "899550c5-55fb-4291-87ad-6354b9b43e07", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/899550c5-55fb-4291-87ad-6354b9b43e07.png", "shortName": "Imperviousness_Change_20m_2006-2009", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2006-2009 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer", "label": 798, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/899550c5-55fb-4291-87ad-6354b9b43e07", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imdc_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2009, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "ff9d71d2-549f-428c-9454-1070564612c2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ff9d71d2-549f-428c-9454-1070564612c2.png", "shortName": "Tree_Cover_Density_Change_100m_2012-2015", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density Change 2012-2015 (raster 100m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensityChange_12_15/MapServer", "label": 799, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff9d71d2-549f-428c-9454-1070564612c2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_tcdc_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2014, "tend": 2016, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensityChange_12_15/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "13565c71-f48b-49eb-a96f-7db32a6c7f47", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13565c71-f48b-49eb-a96f-7db32a6c7f47.png", "shortName": "Urban_Atlas_2012", "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape alteration|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas 2012 (vector), Aug. 2016", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlas_2012/MapServer", "label": 800, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13565c71-f48b-49eb-a96f-7db32a6c7f47", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_ua2012_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc\u2026) using ancillary data sources such as local city maps or online map services.\nThe Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2013, "abstract": "The European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 800 Functional Urban Area (FUA) for the reference year 2012 in EU and EFTA countries. The spatial data can be downloaded together with a map for each FUA covered and a report with the metadata for the respective area. Additional information (product description, mapping guidance and class description) can be found at https://land.copernicus.eu/user-corner/technical-library/urban-atlas-2012-mapping-guide-new.\n\nUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlas_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "299ad2d6-f2b8-4716-b169-1d621250fc3c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/299ad2d6-f2b8-4716-b169-1d621250fc3c.png", "shortName": "Tree_Cover_Density_100m_2012", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density 2012 (raster 100m), Mar. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer", "label": 801, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/299ad2d6-f2b8-4716-b169-1d621250fc3c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_tcd_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2012 and selected Landsat 8 data. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely and relatively calibrated (if necessary) to the HRL Forest 2015 reference and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. \nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2013, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "060409f4-5b0e-4b89-95c9-c1b5ebda3dd7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/060409f4-5b0e-4b89-95c9-c1b5ebda3dd7.png", "shortName": "UrbanSprawl_LUP_06", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|inhabitant|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Land Uptake per Person (inhabitants and jobs) (LUP) 2006 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/LUP_1km_2006y/MapServer", "label": 802, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/060409f4-5b0e-4b89-95c9-c1b5ebda3dd7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_lup2006_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) LUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2006, "abstract": "The new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nLand uptake per person (inhabitants and jobs) (LUP) describes the use of urban built-up area by people working and living in that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/LUP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Bulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia", "publicationDate": "2019-06-04" }, { "sdiUuid": "3de1ca12-d9a2-40bf-ae55-5c5026b8b90e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3de1ca12-d9a2-40bf-ae55-5c5026b8b90e.png", "shortName": "Imperviousness_Change_20m_2006-2012", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2006-2012 CLC Synchronous (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer", "label": 803, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3de1ca12-d9a2-40bf-ae55-5c5026b8b90e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imdc_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2012, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "eab04cf7-ef5d-416f-9a80-a5ec9a06ccef", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eab04cf7-ef5d-416f-9a80-a5ec9a06ccef.png", "shortName": "UrbanSprawl_DIS_09", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Degree of Urban Dispersion (DIS) 2009 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/DIS_1km_2009y/MapServer", "label": 804, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eab04cf7-ef5d-416f-9a80-a5ec9a06ccef", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_dis2009_2008-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) DIS values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2009, "abstract": "The degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). DIS is input to the Weighted Urban Proliferation (WUP) metric, which has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nThe new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nThe DIS dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/DIS_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "c389689b-38b7-4e3d-bc7b-a403da0cac47", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c389689b-38b7-4e3d-bc7b-a403da0cac47.png", "shortName": "Imperviousness_Change_100m_2009-2012", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2009-2012 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer", "label": 805, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c389689b-38b7-4e3d-bc7b-a403da0cac47", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imdc_2008-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2013, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8111fc53-934b-4e6a-afc7-d11664c5ebc3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8111fc53-934b-4e6a-afc7-d11664c5ebc.png", "shortName": "Forest_Type_100m_2015", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Type 2015 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestType_2015/MapServer", "label": 806, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8111fc53-934b-4e6a-afc7-d11664c5ebc3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_fty_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type information (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. The 20m Forest Type product has been finally aggregated to 100m considering the CORINE Land Cover (CLC) definition of broadleaved, coniferous and mixed forest. Trees under agricultural or urban use as provided by the Forest Additional Support Layer (FADSL) have been explicitly excluded to follow the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2014, "tend": 2016, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "61a2a6c8-9f9a-407d-a01d-d2101e9dcd65", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61a2a6c8-9f9a-407d-a01d-d2101e9dcd65.png", "shortName": "Imperviousness_Density_20m_2009", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2009 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer", "label": 807, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61a2a6c8-9f9a-407d-a01d-d2101e9dcd65", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2008-2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2010, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "d8d6ac30-da40-41a5-bcfb-d58f8ba118fa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Soil", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d8d6ac30-da40-41a5-bcfb-d58f8ba118fa.png", "shortName": "Soil_biodiversity_potentials", "fileSystemPath": null, "gemetConcepts": "biodiversity|land cover|soil|soil capability|soil function|soil quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Potential of soils to serve as a soil biodiversity pool, Oct. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/SoilBiodiversityPotential/MapServer", "label": 808, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Soil", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d8d6ac30-da40-41a5-bcfb-d58f8ba118fa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_k_soilbiodiv-potential_2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "geoTiff", "sdiElon": null, "lineage": "For all the details, please refer to \nEce Aksoy, Geertrui Louwagie, Ciro Gardi, Mirko Gregor, Christoph Schr\u00f6der, Manuel L\u00f6hnertz, Assessing soil biodiversity potentials in Europe, In Science of The Total Environment, Volume 589, 2017, Pages 236-249, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2017.02.173. (http://www.sciencedirect.com/science/article/pii/S0048969717304229)\n\nThe potentials of soil biodiversity throughout Europe have been assessed and mapped by using critical thresholds of the selected variables (see Table 1 in the paper) that potentially affect the conditions of soils for biodiversity and thus soil biodiversity levels. The thresholds (see Table 2 in the paper) are defined in line with levels that are expected to regulate soil biodiversity levels and range from 0 to 4, depending on the main parameters as described in the material section. Using these threshold levels and their corresponding scores, the general status of soil biodiversity potentials could be assessed and mapped on a European scale. The assessment of the soil biodiversity potential is calculated as the spatial sum of the re-classified layers of each indicator (see figure 2 of paper). The score of the land cover/land use indicator is used as a multiplying factor.\n\nFor more information about the quality checks performed on the dataset, the document \"eea_r_3035_1_km_soilbiodiv_2000_SpatialDataDeliveryReport.docx\" is also made available with the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "The dataset illustrates the potential of soils to serve as a soil biodiversity pool. The potential is expressed as an indexed value from 1 (lowest potential) to 10 (highest potential). \nThe potentials of soil biodiversity throughout Europe have been assessed and mapped by using critical thresholds of the selected variables (e.g. soil PH, texture, land cover among others) that potentially affect the conditions of soils for biodiversity and thus soil biodiversity levels. The dataset has been validated with existing data on soil biodiversity of different projects throughout Europe.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/SoilBiodiversityPotential/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "b1ccb4c2-be13-416c-ac17-246b3b5219cf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1ccb4c2-be13-416c-ac17-246b3b5219cf.png", "shortName": "Imperviousness_Change_100m_2006-2012", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2006-2012 CLC Synchronous (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer", "label": 809, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b1ccb4c2-be13-416c-ac17-246b3b5219cf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imdc_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2012, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "e09a23b9-5ee8-4610-bcad-c1fcd496634a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e09a23b9-5ee8-4610-bcad-c1fcd496634a.png", "shortName": "UrbanSprawl_UP_09", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Permeation (UP) 2009 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UP_1km_2009y/MapServer", "label": 810, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e09a23b9-5ee8-4610-bcad-c1fcd496634a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_up2009_2008-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) UP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2009, "abstract": "Urban Permeation (UP) is a measure of the permeation of a landscape by built\u2011up areas; it describes the degree to which the landscape is permeated by patches of built-up area. It is calculated from the new urban sprawl metric \"Weighted Urban Proliferation\u201c (WUP). Weighted Urban Proliferation is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nThe WUP metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nUP is a product of PBA and DIS. It represents the spread of the built-up areas in the landscape. UP is expressed in urban permeation units per m2 of land (UPU/m2).\nThe UP dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "047f71ee-dec6-4c7b-8044-7a153c025588", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/047f71ee-dec6-4c7b-8044-7a153c025588.png", "shortName": "Urban_Atlas_Change_2006_2012", "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape alteration|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas Change 2006-2012 (vector), Sep. 2016", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlasChange_2006_2012/MapServer", "label": 811, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/047f71ee-dec6-4c7b-8044-7a153c025588", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_uac_2004-2014", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc\u2026) using ancillary data sources such as local city maps or online map services.\nThe Minimum Mapping Unit is as follows:\nClass 1 to Class 1: 0.1 ha;\nClass 2 - 5 to Class 1: 0.1 ha;\nClass 2 - 5 to Class 2 - 5: 0.25 ha;\nClass 1 to Class 2 - 5: 0.25 ha.\nThe Minimum Mapping Width is 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2004, "tend": 2014, "abstract": "The Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Urban Atlas Change layers have become available from 2012 and only for all FUAs that have been covered in both 2006 and 2012 reference years.\n\nUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlasChange_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "3eccb338-d7d4-43e5-be77-ac0b6afc9aa7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3eccb338-d7d4-43e5-be77-ac0b6afc9aa7.png", "shortName": "Imperviousness_Change_100m_2006-2009", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2006-2009 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer", "label": 812, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3eccb338-d7d4-43e5-be77-ac0b6afc9aa7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imdc_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2009, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8b83d30f-4731-4de3-bead-1c6432d9d30a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b83d30f-4731-4de3-bead-1c6432d9d30a.png", "shortName": "Imperviousness_Density_20m_2015", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2015 (raster 20m), Mar. 2018", "restApi": "http://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2015/MapServer", "label": 813, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b83d30f-4731-4de3-bead-1c6432d9d30a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2014, "tend": 2016, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2015/MapServer/WMSServer?service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "551d6741-84d0-43fb-bda8-1768d51bbb4c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/551d6741-84d0-43fb-bda8-1768d51bbb4c.png", "shortName": "Urban_Atlas_2006", "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape alteration|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Atlas 2006 (vector), Jul. 2015", "restApi": "http://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlas_2006/MapServer", "label": 814, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/551d6741-84d0-43fb-bda8-1768d51bbb4c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_ua2006_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc\u2026) using ancillary data sources such as local city maps or online map services.\nThe Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "The European Urban Atlas provides reliable, inter-comparable, high-resolution land use maps for 305 Large Urban Zones and their surroundings (more than 100.000 inhabitants as defined by the Urban Audit) for the reference year 2006 in EU member states. The GIS data can be downloaded together with a map for each covered urban area and a report with the metadata for the respective area. Additional information (product description, mapping guidance and class description) can be found at https://www.eea.europa.eu/data-and-maps/data/urban-atlas/#tab-methodology.\n\nUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlas_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "09aa9012-0125-46a4-b142-17ac387c0492", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/09aa9012-0125-46a4-b142-17ac387c0492.png", "shortName": "CLC_accounting_2000", "fileSystemPath": null, "gemetConcepts": "accounting|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 100m) version 18.5 accounting layer, Mar. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2000_acc_WM/MapServer", "label": 815, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09aa9012-0125-46a4-b142-17ac387c0492", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc2000-acc_1999-2002", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\nAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \nMethodology of harmonization to create CLC accounting layers:\nThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\nCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\nAdditional criteria of the realization were:\n(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\n(2) Create previous CLC status layers by \"backdating\" of the reference, realized as subtracting CLCC based information for CLC2012.\nBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\n(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\n(1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\n(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\n(2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\n(3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\n(4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\nThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1999, "tend": 2002, "abstract": "CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). \nTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\nThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called \"CLC accounting layers\" fulfilling the relation: CLC-change = Modified CLC_ new status \u2013 Modified CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\nCLC2000 was the second CORINE Land Cover inventory and lasted for four years. Results of CLC1990 were improved and mapping CLC-Changes were tested. Computer Assisted Photo-Interpretation (CAPI) has become a commonplace. Number of participants has increased. CLC2000 was replaced by CLC2000_revised, if the country has produced this during the implementation of CLC2006 and delivered to EEA. If the CLC2000_revised layer did not exist for the country, the original CLC2000 was used in the final European mosaic.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2000_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "532f0b73-66c3-46f6-b5a5-d1cccd140433", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/532f0b73-66c3-46f6-b5a5-d1cccd140433.png", "shortName": "Imperviousness_Density_20m_2006", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2006 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer", "label": 816, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/532f0b73-66c3-46f6-b5a5-d1cccd140433", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "02580a02-cb8d-4474-95bb-4fdb30a50119", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02580a02-cb8d-4474-95bb-4fdb30a50119.png", "shortName": "UrbanSprawl_WUP_09", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Weighted Urban Proliferation (WUP) 2009 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/WUP_1km_2009y/MapServer", "label": 817, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02580a02-cb8d-4474-95bb-4fdb30a50119", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_wup2009_2008-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) WUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2011, "abstract": "The new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/WUP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|Switzerland|United Kingdom", "publicationDate": "2019-06-04" }, { "sdiUuid": "8bfbda74-7b62-4659-96dd-86600ea425a2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bfbda74-7b62-4659-96dd-86600ea425a2.png", "shortName": "Tree_Cover_Density_20m_2015", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density 2015 (raster 20m), Mar. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer", "label": 818, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bfbda74-7b62-4659-96dd-86600ea425a2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_tcd_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2014, "tend": 2016, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "2a927809-44a9-46f0-ad90-a815e4d1b2f3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a927809-44a9-46f0-ad90-a815e4d1b2f3.png", "shortName": "Elevation_Breakdown_1km", "fileSystemPath": null, "gemetConcepts": "land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Elevation Breakdown based on EU-DEM (resolution 1km), Dec. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Elevation/Elevation_Breakdown_2012_1km/MapServer", "label": 819, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Topography", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a927809-44a9-46f0-ad90-a815e4d1b2f3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_ebk-eudem_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Generalisation at 1 km resolution of elevation breakdown 100 m (based on EU-DEM), which was created as an update using the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 25 m). Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains.\n\nInput layers include: \n- EUDEM resampled to 100m (derived from EU-DEM 25m)\n- Coastline and reference mask, provided by GISAT.\nDetailed methodology is available on http://forum.eionet.europa.eu/etc-sia-consortium/library/2012_subvention/261_2_ludc/133_elevation_data/elevation-breakdown-final-report-1 (section 2).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2012, "tend": 2012, "abstract": "Generalisation at 1 km resolution of elevation breakdown 100 m (based on EU-DEM).\nThis layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.This layer is an updated version using similar methodology to the one created on 2006 (same classes and thresholds) but it has been generated using up-to-date high resolution datasets (EU-DEM) in order to create a more accurate layer.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Elevation/Elevation_Breakdown_2012_1km/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA32", "publicationDate": "2019-06-04" }, { "sdiUuid": "1e457489-c4bd-4247-87ff-346020c4c87f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e457489-c4bd-4247-87ff-346020c4c87f.png", "shortName": "Forest_Fragmentation_Carpathians", "fileSystemPath": null, "gemetConcepts": "forest|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Forest fragmentation in Carpathians (KEO), Oct. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/ForestFragmentationCarpathians2015/MapServer", "label": 820, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e457489-c4bd-4247-87ff-346020c4c87f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_forest-fragm-keo_2015", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The indicator on the morphological structure of forests has been obtained with the application of the modelling tool namely GUIDOS toolbox (Vogt, 2013), within the forest coverage of Carpathians area obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA).\n\nThe resulting map provides with the calculation of a Morphological Spatial Pattern Analysis (MSPA) which determines the geometry and connectivity of the forest areas in the KEO. Several parameters can be calculated using this tool including the core area of forests, the islets within forests, the loop areas within a forest (being the areas that are connected from different sides to the same forest core area), the bridges within forests (being connected to forest core from different places and to different core areas within a forest), the forest perforation being the internal foreground forest perimeter, and the forest edge being the external foreground forest perimeter, and the forest branches being connected to any of the previous morphological parameters but not to the core of a forest.\n\nMore details on the creation of this indicator are available in the final report \"ETCULS1835_RegionalCoperation_CarpathiansReport.pdf\".\nThe document \"ForestFragmentation.docx\" also available for download provides additional information on the quality assurance checks performed on the dataset.\n\nReferences:\nVogt, P. (2013). GUIDOS: tools for the assessment of pattern, connectivity, and fragmentation. Geophysical\nResearch Abstracts, 15.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2015, "tend": 2015, "abstract": "The forest fragmentation dataset detects and describes the geometry and the connectivity of forests coverage. This dataset, developed based on the methodology of the European study \"Forest landscape in Europe: Pattern, Fragmentation, and connectivity\" (Estreguil et al., 2012), has been calculated for the Carpathian forest included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication \"Europe\u00b4s ecological backbone: recognising the true value of our mountains\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Forest/ForestFragmentationCarpathians2015/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Czechia|Hungary|Poland|Romania|Serbia|Slovakia|Ukraine", "publicationDate": "2019-06-04" }, { "sdiUuid": "0827ac40-6a01-4ae7-84fe-7f88180c3e2b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0827ac40-6a01-4ae7-84fe-7f88180c3e2b.png", "shortName": "CLC_accounting_1990", "fileSystemPath": null, "gemetConcepts": "accounting|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) version 18.5 accounting layer, Mar. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC1990_acc_WM/MapServer", "label": 821, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0827ac40-6a01-4ae7-84fe-7f88180c3e2b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc1990-acc_1986-1998", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\nAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \nMethodology of harmonization to create CLC accounting layers:\nThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\nCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\nAdditional criteria of the realization were:\n(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\n(2) Create previous CLC status layers by \"backdating\" of the reference, realized as subtracting CLCC based information for CLC2012.\nBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\n(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\n(1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\n(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\n(2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\n(3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\n(4)\tCreate CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\nThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1986, "tend": 1998, "abstract": "CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). \nTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\nThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called \"CLC accounting layers\" fulfilling the relation: CLC-change = Harmonized CLC_ new status \u2013 Harmonized CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Harmonized CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\nCLC1990 was the first CORINE Land Cover inventory and lasted for 10 years. Photo-Interpretation mostly done on plastic overlay. Field checking was an integral part of the work. The basic parameters of the project (25 ha minimum mapping unit, 100 m minimum mapping width and the European level-3 nomenclature) tested. These are used consistently in all subsequent inventories.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC1990_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "264d4e20-de6d-4f88-b1be-b592303452af", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/264d4e20-de6d-4f88-b1be-b592303452af.png", "shortName": "Tree_Cover_Density_100m_2015", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density 2015 (raster 100m), Mar. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer", "label": 822, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/264d4e20-de6d-4f88-b1be-b592303452af", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_tcd_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2014, "tend": 2016, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "53eb2a55-4537-41ef-938f-603a52a5eb39", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53eb2a55-4537-41ef-938f-603a52a5eb39.png", "shortName": "Imperviousness_Change_20m_2009-2012", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2009-2012 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer", "label": 823, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53eb2a55-4537-41ef-938f-603a52a5eb39", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imdc_2008-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2013, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "566e36ae-2620-4d75-9b2e-51d70ab561ac", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/566e36ae-2620-4d75-9b2e-51d70ab561ac.png", "shortName": "UrbanSprawl_UD_06", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Utilisation Density (UD) 2006 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UD_1km_2006y/MapServer", "label": 824, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/566e36ae-2620-4d75-9b2e-51d70ab561ac", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_ud2006_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) UD values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2006, "abstract": "The new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nBesides WUP and its components, the other indicator was calculated:\nUtilisation Density (UD). UD measures the number of people living and working per km2 of built-up area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UD_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Bulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia", "publicationDate": "2019-06-04" }, { "sdiUuid": "6f6abc04-cedc-463d-8536-6f459c26293d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6f6abc04-cedc-463d-8536-6f459c26293d.png", "shortName": "CLC_accounting_2012", "fileSystemPath": null, "gemetConcepts": "accounting|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2012 (raster 100m) version 18.5 accounting layer, Mar. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2012_acc_WM/MapServer", "label": 825, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6f6abc04-cedc-463d-8536-6f459c26293d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc2012-acc_2011-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\nAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \nMethodology of harmonization to create CLC accounting layers:\nThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\nCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\nAdditional criteria of the realization were:\n(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\n(2) Create previous CLC status layers by \"backdating\" of the reference, realized as subtracting CLCC based information for CLC2012.\nBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\n(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\n(1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\n(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\n(2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\n(3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\n(4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\nThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2012, "abstract": "CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). \nTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\nThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called \"CLC accounting layers\" fulfilling the relation: CLC-change = Modified CLC_ new status \u2013 Modified CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\nCLC2012 is the fourth CORINE Land Cover inventory and took three years to finalize. A dual coverage of satellite images were used. Computer Assisted Photo-Interpretation (CAPI) was the dominating mapping technology. The number of countries using advanced (bottom-up) solutions has slightly increased. All of the EEA39 countries have participated within the official lifetime of the project.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2012_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "91687ef2-f907-4f84-81f7-c9c81980c306", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/91687ef2-f907-4f84-81f7-c9c81980c306.png", "shortName": "Tree_Cover_Density_20m_2012", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Tree Cover Density 2012 (raster 20m), Mar. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer", "label": 826, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91687ef2-f907-4f84-81f7-c9c81980c306", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_tcd_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2012 and selected Landsat 8 data. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely and relatively calibrated (if necessary) to the HRL Forest 2015 reference and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. \nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2013, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-07-19" }, { "sdiUuid": "228e9bf2-0b81-4506-ab72-d42dd2ad19b6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/228e9bf2-0b81-4506-ab72-d42dd2ad19b6.png", "shortName": "CLC_reference_grid", "fileSystemPath": null, "gemetConcepts": "land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "CLC 2012 reference land mask (resolution 100m), Jan. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Background/CLC2012_v_18_5_land_mask/MapServer", "label": 827, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Reference_dataset", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/228e9bf2-0b81-4506-ab72-d42dd2ad19b6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc12-landmask_2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Created from CLC2012 v 18_5 raster 100m data, by means of a reclassification in ArcGIS. All pixels with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of \"1\". The rest of pixels get a \"0\". In other words, land areas with CLC2012 data are identified with the value \"1\", whereas sea areas and areas with no CLC2012 data available get a value of \"0\".", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2016, "abstract": "The CLC2012 land mask is a dataset derived from CLC2012 intended to be used as a reference dataset for data harmonisation within the EEA. It is a mask where all pixels with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of \"1\". The rest of pixels get a \"0\". In other words, land areas with CLC2012 data are identified with the value \"1\", whereas sea areas and areas with no CLC2012 data available get a value of \"0\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Background/CLC2012_v_18_5_land_mask/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA32", "publicationDate": "2019-06-04" }, { "sdiUuid": "eb306a29-f0db-49b6-8c68-c76d011bfa70", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Human health and safety|Land cover|Soil", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eb306a29-f0db-49b6-8c68-c76d011bfa70.png", "shortName": "Nutrient_input_to_agroecosystems", "fileSystemPath": null, "gemetConcepts": "agrosystem|animal manure|deposition|inorganic fertiliser|land cover|livestock|nutrient balance|pressure", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Total nutrient input to agroecosystems 2010, Feb. 2015", "restApi": "https://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Nitrogen_Input_to_agroecosystems/MapServer", "label": 828, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Soil", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eb306a29-f0db-49b6-8c68-c76d011bfa70", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_k_n-input_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GeoTiff", "sdiElon": null, "lineage": "Refer to https://forum.eionet.europa.eu/etc-sia-consortium/library/2014-subvention/182_2-impact-policy-changes/milestones/updatecarbonnutrientdata/nutrientupdate/nutrient-account-methodology for a more detailed description.\nFor the purpose of a simplified nutrient account the major inputs (Fertiliser use, manure, biological fixation, atmospheric deposition) and outputs (harvest) are selected. By accounting for these components only nutrient surplus or lack will be calculated, while the sink of the surplus will not be evaluated; i.e. leaching and emissions will not be calculated, but considered as the final output of nutrient surplus.\nThe following input data is used (Model inputs EEA Nutrient accounts)\n1) Land cover/ land use (grass and crops in arable land): Total area of grassland and cropland based on EUROSTAT data;\n2) Crop land areas further disaggregated for 10 crop groups (cereals, oilseeds, root crops, industrial, fruits, citrus, vineyards, olives, rice, fodder) using CAPRI regional data based on disaggregated in CAPRI-SPAT to HSMUs3, further downscaled to 1kmx1km.\n3) N and P fertilizer application: FAOSTAT data at country level, downscaled to 1km x 1km, based on crop production distribution from CAPRI.\n4) Animal livestock numbers: Downscaled (1km x 1km) Eurostat statistics using CAPRI regional data, distinguishing dairy cattle, other cattle, sheep + goats, pigs, poultry and other cattle (both in livestock units, LSUs, and animal numbers) further downscaled to.\n5) N and P excretion rates (factors): Country-specific excretion rates from OECD-Eurostat, using livestock raster.\n6) Biological N fixation (BNF) rates: Arable land: 4 kg N ha-1 yr-1; Grassland: 4 kg N ha-1 yr-1; Pulses/legumes: Not included.\n7) Total N deposition levels: Data at 50 km x 50 km resolution from the EMEP model, downscaled to 1km x 1km.\n8) Total P deposition levels: Not included\n9) Crop yields: Eurostat statistics on crop production of major crop groups, downscaled according to CAPRI-stat at HSMU level and further downscaled to 1km x 1km.\n10) N and P contents in crops: Country-specific N and P contents for major crop groups.\n\nThe document \"eea_r_3035_1_km_n-input_2010_SpatialDataDeliveryReport\" provides additional information on the quality assurance checks performed on the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2010, "tend": 2010, "abstract": "The total nitrogen input to agricultural soils for the year 2010 is represented in kgN/ha/yr at a 1 km resolution. \nNitrogen input includes organic manure application, inorganic fertilizer input, atmospheric deposition and biological fixation. The data comes from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors (see lineage for details).\nThe geographic coverage is EU27.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Nitrogen_Input_to_agroecosystems/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "5660741b-2e9a-401d-8ff2-5162d75fc05d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Human health and safety|Land cover|Soil", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5660741b-2e9a-401d-8ff2-5162d75fc05d.png", "shortName": "Nutrient_input_to_agroecosystems_2000-2005", "fileSystemPath": null, "gemetConcepts": "agrosystem|deposition|inorganic fertiliser|land cover|livestock|manure|nutrient balance|pressure", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Trends in nutrient input to agroecosystems 2000 - 2005, Feb. 2015", "restApi": "https://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Nitrogen_Input_to_agroecosystems_trend/MapServer", "label": 829, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Soil", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5660741b-2e9a-401d-8ff2-5162d75fc05d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_k_n-trend_2000-2005", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GeoTiff", "sdiElon": null, "lineage": "Refer to https://forum.eionet.europa.eu/etc-sia-consortium/library/2014-subvention/182_2-impact-policy-changes/milestones/updatecarbonnutrientdata/nutrientupdate/nutrient-account-methodology for a more detailed description.\nFor the purpose of a simplified nutrient account the major inputs (Fertiliser use, manure, biological fixation, atmospheric deposition) and outputs (harvest) are selected. By accounting for these components only nutrient surplus or lack will be calculated, while the sink of the surplus will not be evaluated; i.e. leaching and emissions will not be calculated, but considered as the final output of nutrient surplus.\nThe following input data is used (Model inputs EEA Nutrient accounts)\n1) Land cover/ land use (grass and crops in arable land): Total area of grassland and cropland based on EUROSTAT data;\n2) Crop land areas further disaggregated for 10 crop groups (cereals, oilseeds, root crops, industrial, fruits, citrus, vineyards, olives, rice, fodder) using CAPRI regional data based on disaggregated in CAPRI-SPAT to HSMUs3, further downscaled to 1kmx1km.\n3) N and P fertilizer application: FAOSTAT data at country level, downscaled to 1km x 1km, based on crop production distribution from CAPRI.\n4) Animal livestock numbers: Downscaled (1km x 1km) Eurostat statistics using CAPRI regional data, distinguishing dairy cattle, other cattle, sheep + goats, pigs, poultry and other cattle (both in livestock units, LSUs, and animal numbers) further downscaled to.\n5) N and P excretion rates (factors): Country-specific excretion rates from OECD-Eurostat, using livestock raster.\n6) Biological N fixation (BNF) rates: Arable land: 4 kg N ha-1 yr-1; Grassland: 4 kg N ha-1 yr-1; Pulses/legumes: Not included.\n7) Total N deposition levels: Data at 50 km x 50 km resolution from the EMEP model, downscaled to 1km x 1km.\n8) Total P deposition levels: Not included\n9) Crop yields: Eurostat statistics on crop production of major crop groups, downscaled according to CAPRI-stat at HSMU level and further downscaled to 1km x 1km.\n10) N and P contents in crops: Country-specific N and P contents for major crop groups.\n\nThe document \"eea_r_3035_1_km_n-input_2010_SpatialDataDeliveryReport.docx\" provides additional information on the quality assurance checks performed on the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2005, "abstract": "This dataset shows the increase/decrease of nitrogen input (kg/ha/yr) to agricultural soils comparing the year 2000 with the trend value 2000-2005 at 1 km resolution. Increase takes place where the trend value is higher than the reference value in 2000. Decrease is mapped when the trend value is lower than the value in 2000. \nNitrogen input includes organic manure application, inorganic fertilizer input, atmospheric deposition and biological fixation. The data comes from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors (see lineage for details).\nThe geographic coverage is EU27.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Nitrogen_Input_to_agroecosystems_trend/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "b90803ac-57db-4653-b393-3e04445a7035", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b90803ac-57db-4653-b393-3e04445a7035.png", "shortName": "CLC_accounting_2006", "fileSystemPath": null, "gemetConcepts": "accounting|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) version 18.5 accounting layer, Mar. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2006_acc_WM/MapServer", "label": 830, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b90803ac-57db-4653-b393-3e04445a7035", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc2006-acc_2005-2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration.\nAll seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. \nMethodology of harmonization to create CLC accounting layers:\nThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation:\nCLC change = Harmonized CLC_ new status \u2013 Harmonized CLC old status.\nAdditional criteria of the realization were:\n(1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference,\n(2) Create previous CLC status layers by \"backdating\" of the reference, realized as subtracting CLCC based information for CLC2012.\nBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\n(1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer.\n(1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012,\n(1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012.\n(2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006.\n(3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000.\n(4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990.\nThe harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2006, "abstract": "CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). \nTo eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data.\nThe applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called \"CLC accounting layers\" fulfilling the relation: CLC-change = Modified CLC_ new status \u2013 Modified CLC old status. The modification method maximizes compatibility of \u201cbackdated\u201d CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) \u201cFake features\u201d are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets.\nCLC2006 was the third CORINE Land Cover inventory and needed three years to be accomplished. Instead of a single imagery, a dual coverage of satellite images were used. The methodology of mapping changes was consolidated. Dominating mapping technology was the Computer Assisted Photo-Interpretation (CAPI). Advanced (less human work intensive) solutions appeared in some countries. All but one of the EEA39 countries have participated within the official lifetime of the project. Greece accomplished CLC2006 later, at the time of the CLC2012. CLC2006 was replaced by CLC2006_revised, if the country has produced this during the implementation of CLC2012 and delivered to EEA. If the CLC2006_revised layer did not exist for the country, the original CLC2006 was used in the final European mosaic.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2006_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "fbded0dd-25db-4a1d-9b7e-64ab6da4b14f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbded0dd-25db-4a1d-9b7e-64ab6da4b14f.png", "shortName": "UrbanSprawl_LUP_09", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|inhabitant|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Land Uptake per Person (inhabitants and jobs) (LUP) 2009 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/LUP_1km_2009y/MapServer", "label": 831, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbded0dd-25db-4a1d-9b7e-64ab6da4b14f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_lup2009_2008-2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1k", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) LUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2011, "abstract": "The new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nLand uptake per person (inhabitants and jobs) (LUP) describes the use of urban built-up area by people working and living in that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/LUP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EFTA4|EU28", "publicationDate": "2019-06-04" }, { "sdiUuid": "894c9189-b35f-4ced-8bd2-12ed6b72fa4c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/894c9189-b35f-4ced-8bd2-12ed6b72fa4c.png", "shortName": "Forest_Type_20m_2012", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Type 2012 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer", "label": 832, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/894c9189-b35f-4ced-8bd2-12ed6b72fa4c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_fty_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. Thus, the derived Forest Type (FTY) product is largely following the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2013, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/DownloadLayers/HRL_FTY_2012_DL/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "b728f391-3aaf-4fb4-a3d4-ecdf25ac9534", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b728f391-3aaf-4fb4-a3d4-ecdf25ac9534.png", "shortName": "LEAC_reference_grid", "fileSystemPath": null, "gemetConcepts": "land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "LEAC CLC2012 version 18.5 reference mask (resolution 1km), Jan. 2017", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Background/LEAC_CLC2012_v_18_5_mask/MapServer", "label": 833, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Reference_dataset", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b728f391-3aaf-4fb4-a3d4-ecdf25ac9534", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_leac-clc2012-mask_p_2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Created from CLC2012 v 18_5 raster 100m data and the European reference Grid. By means of an overlay, the grid cells containing CLC data (land) are selected. They are eventually rasterised and given a value of 1 (within the mask) in contrast with the value 0 (out of the mask).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2016, "abstract": "The LEAC mask at 1 km x 1 km is a dataset derived from CLC2012 used as the reference mask for accounting purposes within the EEA. It is a mask where all 1 km x 1 km cells (in line with the European reference Grid) with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of \"1\". The rest of pixels get a \"0\". In other words, land areas with CLC2012 data are identified with the value \"1\", whereas sea areas and areas with no CLC2012 data available get a value of \"0\".", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Background/LEAC_CLC2012_v_18_5_mask/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA32", "publicationDate": "2019-06-04" }, { "sdiUuid": "0c925f24-663d-4e29-8630-da61a8673368", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Buildings|Land use|Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c925f24-663d-4e29-8630-da61a8673368.png", "shortName": "UrbanSprawl_PBA_09", "fileSystemPath": null, "gemetConcepts": "built environment|built-up area|urban sprawl|urbanisation", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Percentage of Built-up Area (PBA) 2009 (LEAC Grid), Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/PBA_1km_2009y/MapServer", "label": 834, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Urban", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c925f24-663d-4e29-8630-da61a8673368", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_pba2009_2008-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The mapping computation steps are:\n1) A built-up areas were selected from the raster High Resolution Layer \u2013 Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up.\n2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers)\n3) PBA values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 )\n4) Newly developed tool called \u201cUrban Sprawl Metric Tool\u201d is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2009, "abstract": "Percentage of built-up area (PBA) measures how large the built-up areas are (in % of the landscape).\nPBA is a component of the new urban sprawl metric, named \"Weighted Urban Proliferation\u201c (WUP). WUP is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl.\nWeighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).\nValues for landscapes of differing sizes can be directly compared because PBA is an intensive metric, i.e., the value does not depend on the size of the landscape.\nThe PBA dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/PBA_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "bd1c6abc-a413-489a-91c7-e2690e01ff0e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd1c6abc-a413-489a-91c7-e2690e01ff0e.png", "shortName": "Imperviousness_Density_100m_2009", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2009 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer", "label": 835, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd1c6abc-a413-489a-91c7-e2690e01ff0e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imd_2008-2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2010, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "dd62f02d-a9e0-4e4f-906c-d5a913062deb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dd62f02d-a9e0-4e4f-906c-d5a913062deb.png", "shortName": "Imperviousness_Density_100m_2012", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2012 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Imperviousness_Density_2012/MapServer", "label": 836, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd62f02d-a9e0-4e4f-906c-d5a913062deb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imd_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2013, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Imperviousness_Density_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8526ff78-b000-42e1-8360-a2fb3a51e4ac", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Geographical names|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8526ff78-b000-42e1-8360-a2fb3a51e4ac.png", "shortName": "Accounting_administrative_boundaries", "fileSystemPath": null, "gemetConcepts": "administrative boundary|national boundary|sub-national boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Administrative boundaries of EEA39, Apr. 2018", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/AdministrativeBoundaries_EEA39/MapServer", "label": 837, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Administrative_boundaries", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8526ff78-b000-42e1-8360-a2fb3a51e4ac", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_adm-boundaries-eea39_2016-2017", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The administrative boundaries from the different sources have been merged and then rasterized at 100 m resolution to fully cover the extent of the CLC land mask. Source data used are: GISCO for the official NUTS countries 2016, EuroBoundaryMap version 12.0 (for the EEA39 countries not available in GISCO dataset, being Bosnia and Herzegovina, Albania, Montenegro, Kosovo, Gibraltar, Isle of Man, Jersey and Guernsey) and Economic Exclusive Zone version 10.0 for assigning a country value to those coastal water pixels available in CLC but not defined by the other source products used.\nThe spatial extent and grid size of the resulting raster is matching with the CLC land mask v18.5 [CLC 2012 reference land mask (resolution 100m), Apr. 2016].\nThe lookup table[AdmBound_EEA39_lookup.csv] can be linked joining the attribute \u201cID_ADM\u201d with the raster \u201cvalue\u201d.\nThe table details code and label for NUTS, 3, 2, 1 and 0 levels.\nSea pixels are derived at NUTS0 level (and replicated for the other levels), defined as [code_country] + \"_SEA\" (e.g. ES_SEA)\nDisputed sea areas are defined as [code_country1]+[code_country2] + \"_SEA\"\nDisputed land areas are defined as \"No Country\", with ADM_ID = 8888\nIn the same way, countries which are not part of the EEA39 but are available in CLC (San Marino, Vatican) are defined as \"No Country\", with ADM_ID = 8888.\nThe \"TAA\" code and \"TAA_DESN\" description fields help in differentiate pixels among \"Land Area\", \"Inland Water\", Coastal Water, \"Special Area\" and \"No Country\" values.\nThe attribute table has a column for each country group (see list below), with Boolean value (e. 1/0) to facilitate the selection.\nEEA39: EEA33 + EEA cooperating countries (Albania, Bosnia and Herzegovina, the North Macedonia, Montenegro, Serbia, Kosovo under the UN Security Council Resolution 1244/99)\nEEA33: EEA32 + Croatia\nEEA32: 32-Member Countries of the EEA (EU15 + EU10 + EFTA4 + Romania, Bulgaria and Turkey)\nEFTA4: Iceland, Liechtenstein, Norway, Switzerland\nEU15: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain, Sweden, the United Kingdom\nEU10: Cyprus, Czech Republic, Estonia, Latvia, Lithuania, Hungary, Malta, Poland, Slovenia, Slovakia\nEU27: EU15 + EU10 + Bulgaria + Romania\nEU28: EU27 + Croatia", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset represents the administrative boundaries of the 39 EEA countries at various aggregation level: Country (NUTS0), NUTS1, NUTS2, and NUTS3 regions. The dataset is created in raster format with a spatial resolution of 100m grid size. Spatial extent of the dataset is adjusted to the latest Corine Land Cover product [Corine Land Cover 2012 (raster 100m) - version 18, Sep. 2016]. Administrative boundaries were derived from the EUROSTAT GISCO dataset [European Commission, Eurostat (ESTAT), GISCO -Nomenclature of Territorial Units for Statistics 2016 (NUTS), Mar. 2018], EuroGeographics product [EuroBoundaryMap (full European coverage) - version 12, Jan. 2018], and coastal areas were derived from the Economic Exclusive Zone dataset [version 10.0 available in marineregions.org]. This dataset is created as a reference layer for performing spatial analysis and calculating statistics at country level for the European territory as needed by accounting activities such as Land and Ecosystem Accounting (LEAC).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/AdministrativeBoundaries_EEA39/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "7ce1666b-fcdc-4cf3-91f0-96b58ad14e99", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ce1666b-fcdc-4cf3-91f0-96b58ad14e99.png", "shortName": "Marine_regions|Marine_subregions", "fileSystemPath": null, "gemetConcepts": "Marine Strategy Framework Directive|marine environment|sea", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Europe Seas - version 1, Dec. 2018", "restApi": "http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/EuropeSeas_2018/MapServer", "label": 838, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Marine", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ce1666b-fcdc-4cf3-91f0-96b58ad14e99", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_100_k_europe-seas_p_2010-2018_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The present layer provides the spatial extent of the regions and subregions defined under the MSFD, together with the delineation of other relevant seas surrounding Europe.\n\nThe delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG\u2019s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries.\nThe inner boundary of all regions and subregions has used the \u201cEEA coastline for analysis\u201d (see https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-2); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available.\n\nTherefore, since it includes the delineation of marine regions and subregions agreed under the MSFD, the present layer should take into account the following:\na.The marine regions and subregions defined under the MSFD are intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies.\nb. The present layer provides boundaries of the marine regions and subregions as listed in MSFD Article 4, together with the delineation of other relevant seas surrounding Europe.\nc. The layer is not intended to provide boundaries of the marine waters of Member States. This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed.\nd. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: \"This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.\".\ne. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency.\nf. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, the layer should be updated.\ng. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the MSFD marine regions and subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2).\n\nFinally, the following notes are relevant for the understanding of the layer:\n- The area with Id \"ACSo\" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course.\n-The area with Id \"ATLna\" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area.\n-The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. That's why they don\u00b4t have the same Id as the Black Sea region, even if they are part of the MSFD Black Sea region.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (Article 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which the following two are further divided into four subregions each:\n\nNorth-east Atlantic Ocean:\no The Greater North Sea, including the Kattegat and the English Channel\no The Celtic Seas\no The Bay of Biscay and the Iberian Coast\no Macaronesia\n\nMediterranean Sea:\no The Western Mediterranean Sea\no The Adriatic Sea\no The Ionian Sea and the Central Mediterranean Sea\no The Aegean-Levantine Sea\n\nApart of these, there are other seas also surrounding Europe, namely the Norwegian, Iceland, Barents and White Seas. \n\nThe present layer provides the spatial extent of Europe's seas, including the MSFD regions and subregions, as agreed by the MSFD Committee in November 2016.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://marine.discomap.eea.europa.eu/arcgis/services/Marine/EuropeSeas_2018/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Baltic Sea|Barents Sea|Black Sea|Iceland Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)|Norwegian Sea|White Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "923aee45-1779-40bb-b90c-8e4d5c51350f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/923aee45-1779-40bb-b90c-8e4d5c51350f.png", "shortName": "UWWTD_Sensitive_Areas_Coastal_Waters_lines", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|coastal water|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Sensitive areas - coastal waters - lines, Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 839, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\nA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Reference layer of the coastal waters sensitive areas - lines, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_coastL: the layer displays coastal waters sensitive areas - lines designated by Member States as sensitive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "bd3a76cb-ce0d-4464-a17e-befcfff761be", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd3a76cb-ce0d-4464-a17e-befcfff761be.png", "shortName": "UWWTD_Sensitive_Areas_Lakes", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|lake|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Sensitive areas - lakes, Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 840, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\nA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Reference layer of the lakes sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_lake: the layer displays lakes designated by Member States as sensitive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "5b35f06e-8c6b-4907-b8f4-39541d170360", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b35f06e-8c6b-4907-b8f4-39541d170360.png", "shortName": "UWWTD_Sensitive_Areas_Rivers", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|river|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Sensitive areas - rivers, Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 841, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b35f06e-8c6b-4907-b8f4-39541d170360", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-sa-rivers_p_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). 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The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\nA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Reference layer of the rivers sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_river: the layer displays rivers designated by Member States as sensitive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "c805fb20-1f54-4e25-8f90-21f8faeea3fa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c805fb20-1f54-4e25-8f90-21f8faeea3fa.png", "shortName": "UWWTD_Sensitive_Areas_Catchments", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|catchment|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Sensitive areas - catchments, Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 842, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\nA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Reference layer of the catchments of sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_catchment: the layer displays catchments of sensitive areas designated by Member States as sensitive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "b9b9b305-1c3e-4fd9-bd78-33ac7187ab21", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9b9b305-1c3e-4fd9-bd78-33ac7187ab21.png", "shortName": "UWWTD_Sensitive_Areas_Coastal_Waters_areas", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|coastal water|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive - Sensitive areas - Coastal waters - areas, Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 843, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\nA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Reference layer of the coastal waters sensitive areas - areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_coastA: the layer displays coastal waters sensitive areas - areas designated by Member States as sensitive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "3fcdc6b0-97ea-4f88-9041-445275434fcd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3fcdc6b0-97ea-4f88-9041-445275434fcd.png", "shortName": "UWWTD_Sensitive_Areas_Transitional_Waters", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|sensitive area|transitional waters|urban wastewater|waste water|waste water discharge|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Sensitive areas - transitional waters, Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 844, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3fcdc6b0-97ea-4f88-9041-445275434fcd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-sa-tw_p_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected.\nA detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Reference layer of the transitional waters sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_TW: the layer displays transitional waters designated by Member States as sensitive.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5.png", "shortName": "UWWTD_Treatment_Plants", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Treatment plants - PUBLIC VERSION - Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 845, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-tp_p_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Treatment plants data were reported by Member states in tabular format. Spatial position of individual treatment plants was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Inactive or disconnected treatment plants and treatment plants with obviously wrong coordinates were removed.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "UWWTD Treatment Plants, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \nDataset UWWTD_TreatmentPlants contains urban waste water treatment plants and collecting systems without UWWTP, including their coordinates, capacity and actual load treated, type of treatment and data on the performance of plants.\nThe GIS dataset available on the download link https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5 contains treatment plants selected for displaying on the UWWTD maps only (https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/interactive-maps/urban-waste-water-treatment-maps), i.e. active and connected treatment plants + availability of correct coordinates in the reported data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "10b993d7-10e4-49b9-80fa-af95ba50428d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/10b993d7-10e4-49b9-80fa-af95ba50428d.png", "shortName": "UWWTD_Agglomerations", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Agglomerations - PUBLIC VERSION - Nov. 2017", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer", "label": 846, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10b993d7-10e4-49b9-80fa-af95ba50428d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-agglo_p_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Agglomerations data were reported by Member states in tabular format. Spatial position of individual agglomeations was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Inactive agglomerations and agglomerations with obviously wrong coordinates were removed.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "UWWTD Agglomerations, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \nDataset UWWTD_Agglomerations contains agglomerations reported by countries with generated load \u2265 2000 p.e. (or even smaller), including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.\nThe GIS dataset available on the download link https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5 contains agglomerations selected for displaying on the UWWTD maps only (https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/interactive-maps/urban-waste-water-treatment-maps), i.e. active agglomerations + availability of correct coordinates in the reported data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "f41103f0-73ba-4fe7-8cb6-12b7e3c4f189", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f41103f0-73ba-4fe7-8cb6-12b7e3c4f189.png", "shortName": "ECRINS_Functional_Catchment", "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), functional elementary catchments (fec) - version 1, Jun. 2012", "restApi": "http://water.discomap.eea.europa.eu/arcgis/rest/services/Ecrins/ECRINS_FunctionalElementaryCatchments/MapServer", "label": 847, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f41103f0-73ba-4fe7-8cb6-12b7e3c4f189", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-fec_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "Product is based on CCM River and Catchment Database, version 2.1\nSome hundreds of source CCM elementary catchments have been discarded or reattached. All source CCM catchments have been reallocated to sea shores.\nProcessing consisted of dissolving, under strict control of topology, the 1,409,644 CCM elementary catchments into more homogeneous 181,071 FECS covering the same geographical area, based on size criteria (shrink the range) and Strahler order.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This personal geodatabases (compatible Access 1997 and beyond, ArcGis\u00ae 9.3.0 and beyond) contains the \u201cfunctional elementary catchments\u201d datasets of Ecrins v1.0\nThe FECs apportion into two big categories: the coastal FECs and the continental FECs. Coastal FECs have the following characteristics: they may have 0 to several outlets, they have no upstream FEC and they touch a terminal recipient (sea or endorheic lake). They ID starts by \u2018W\u2019. The continental FECs may have an outlet, but at least one upstream if the FEC is terminal. Continental FECs belong to three categories: upstream (no upstream FEC), intermediates (upstream(s) and one downstream or terminal (upstream(s) and no downstream.\nThe database contains a single table of features, named C_Zhyd that contains the Ecrins version to which these FECs refer, the FEC ID and attribute values. Special mention to field Code_Arbo, specially designed to circulate upstream with flat algorithm instead of recursive algorithm.\nFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://water.discomap.eea.europa.eu/arcgis/services/Ecrins/ECRINS_FunctionalElementaryCatchments/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "3473589f-0854-4601-919e-2e7dd172ff50", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3473589f-0854-4601-919e-2e7dd172ff50.png", "shortName": "EUDEM", "fileSystemPath": null, "gemetConcepts": "digital land model|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EU-DEM (raster) - version 1.1, Apr. 2016", "restApi": "http://image.discomap.eea.europa.eu/arcgis/rest/services/Elevation/EUElev_DEM_V11/MapServer", "label": 848, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Topography", "dataUrl": "https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1/view", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3473589f-0854-4601-919e-2e7dd172ff50", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_25_m_eu-dem_2011_rev1-1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "\u2022Correction of geo-positioning issues in EU-DEM v1.0 as reference also using SPOT 2011 imagery\n\u2022Bias adjustment with ICESat points\n\u2022Screening and removal of artefacts in the EU-DEM v1.0, including the presence of blunders (i.e. negative or positive anomalies)\n\u2022Ensuring consistency with EU-Hydro to produce a better river network topology:\n --Consistency of the coastline with the EU-HYDRO coastline, including the removal of DEM values outside the EU-HYDRO coastline\n --Use of the EU-HYDRO coastline to smooth the gradient to the coast in flat regions\n --Burning of EU-HYDRO water bodies to set EU-DEM to the minimum height inside the water body, smoothing the boundaries", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EU-DEM v1.1 is a resulting dataset of the EU-DEM v1.0 upgrade which enhances the correction of geo-positioning issues, reducing the number of artefacts, improving the vertical accuracy of EU-DEM using ICESat as reference and ensuring consistency with EU-Hydro public beta.\n\nEU-DEM v1.1 is available in Geotiff 32 bits format. It is a contiguous dataset divided into 100x100 km tiles, resulting in a total of 1992 tiles of 4000x4000 pixel at 25m resolution with vertical accuracy: +/- 7 meters RMSE. The tiles have been grouped in big regions:\n - EUDEM2_ASIA (Turkey)\n - EUDEM2_ATLAN (Hondo and Fr_Islands)\n - EUDEM2_BRITAIN (Thames, Shannon and Tweed)\n - EUDEM2_EUROPE_1 (Duero, Ebro, Tajo, Guadalquivir and Jucar)\n - EUDEM2_EUROPE_2 (Tirso, Mesima, Tevere and Po)\n - EUDEM2_EUROPE_3 (Garonne, Rhone, Loire, Seine and western Rhine)\n - EUDEM2_EUROPE_4 (Danube)\n - EUDEM2_EUROPE_5 (Skjern, Nemunas, Vistula, Oder, Elbe and Eastern Rhine)\n - EUDEM2_EUROPE_6 (Bulgaria and Pinios)\n - EUDEM2_ICELAND (Iceland)\n - EUDEM2_SCAND (Vorma, Gota, Angerman, Tana, Kemi and Neva)\n - EUDEM2_SOUTH_AMERICA (Fr_Guiana)\nEU-DEM v1.1 upgrade was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://image.discomap.eea.europa.eu/arcgis/services/Elevation/DEM_v_1_1/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Elevation|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "da419ff3-5ae7-46a0-b0c0-ebf2d487f964", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/da419ff3-5ae7-46a0-b0c0-ebf2d487f964.png", "shortName": "EUHYDRO_CL", "fileSystemPath": null, "gemetConcepts": "coastal area|drainage system|hydrographic network|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EU-Hydro Coastal Line (vector), Jun. 2016", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/EUHydro/Coastal/MapServer", "label": 849, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": "https://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/eu-hydro-coastal/view", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/da419ff3-5ae7-46a0-b0c0-ebf2d487f964", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_50_k_hydrocl_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:50000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Space imagery SP05 (resolution 2.5 m) and SP06 (resolution 2.5 m), space imagery IMAGE2009 (resolution 20 m), EEA member countries WFD reporting data on water bodies: for Turkey (EEA member), Albania, Bosnia-Herzegovina, FYROM, Montenegro, Kosovo and Serbia (all EEA cooperating countries) no spatial data for any category of water bodies was available, European Catchments and Rivers Network System (ECRINS); ancillary data: European Lakes and Reservoirs database (Eldred), Russian topographic maps.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. EU-Hydro Coastal Line is a separate layer extracted from EU-Hydro.\n\nThe production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/EUHydro/Coastal/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Hydrography|Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "f1c6c2e1-d3f5-4326-8ead-0dad7f354eb2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1c6c2e1-d3f5-4326-8ead-0dad7f354eb2.png", "shortName": "EUHYDRO_RN", "fileSystemPath": null, "gemetConcepts": "drainage system|hydrographic network|landscape alteration|water body", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EU-Hydro River Network (vector), Apr. 2016", "restApi": "http://image.discomap.eea.europa.eu/arcgis/rest/services/EUHydro/RiverBasine/MapServer", "label": 850, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": "https://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/eu-hydro-river-network/view", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1c6c2e1-d3f5-4326-8ead-0dad7f354eb2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_50_k_hydrorn_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:50000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "EU-Hydro river network has been derived from 20 metres resolution imagery. The feature data extraction has been performed by photointerpretation of Very High Resolution Image Data (2011 - 2013), with resolution of 2.5 meters.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes.\n\nEU-Hydro river network is divided into 35 basins (covering all EEA39 countries) available in geodatabase format with geometries and attributes (including HYDRO Feature Dataset with 12 Feature Classes in turn): Oder, Elbe, Rhine, Seine, Vistula, Skjern, Loire, Garonne, Rhone, Duero, Ebro, Tajo, Jucar, Guadalquivir, Shannon, Thames, Tweed, Iceland, French Guiana, French Islands, Hondo, Mesima, Tevere, Po, Tirso, Pinios/Bulgaria, Nemunas, Danube, Gota, Angerman, Neva, Kemi, Tana, Vorma, Turkey.\n\nThe production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://image.discomap.eea.europa.eu/arcgis/services/EUHydro/RiverBasine/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Hydrography|Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "47e32c1d-f025-4622-934a-f1b63572609f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/47e32c1d-f025-4622-934a-f1b63572609f.png", "shortName": "Dominant_Leaf_Type_20m_2015", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Dominant Leaf Type 2015 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_DominantLeafType_2015/MapServer", "label": 851, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47e32c1d-f025-4622-934a-f1b63572609f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_dlt_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy.\nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_DominantLeafType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8367f5f3-5eb1-4d89-ae8d-13a70fc834e0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8367f5f3-5eb1-4d89-ae8d-13a70fc834e0.png", "shortName": "Forest_Type_100m_2012", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Type 2012 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer", "label": 852, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8367f5f3-5eb1-4d89-ae8d-13a70fc834e0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_fty_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. Thus, the derived Forest Type (FTY) product is largely following the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. \nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "5afeffa4-ccda-4ef9-a7ef-637cb7310f58", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5afeffa4-ccda-4ef9-a7ef-637cb7310f58.png", "shortName": "Dominant_Leaf_Type_20m_2012", "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Dominant Leaf Type 2012 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_DominantLeafType_2012/MapServer", "label": 853, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5afeffa4-ccda-4ef9-a7ef-637cb7310f58", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_dlt_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy.\nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_DominantLeafType_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "3b762efd-60fe-447d-99e0-9bdcd00262b7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b762efd-60fe-447d-99e0-9bdcd00262b7.png", "shortName": "Emerald_sites", "fileSystemPath": null, "gemetConcepts": "biodiversity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Emerald sites in 2012", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EmeraldSites/MapServer", "label": 854, "associatedResources": null, "sdiUseLimitation": "Access restricted to EEA and ETCs.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b762efd-60fe-447d-99e0-9bdcd00262b7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_emerald_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "Council of Europe", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The data was only used for mapping. We have no information about the processing that may happen with Council of Europe on the national deliveries. The Reference portal for the Emerald network is http://www.coe.int/t/dg4/cultureheritage/nature/econetworks/portal_en.asp", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Emerald Network is a network of Areas of Special Conservation Interest (ASCIs), which is to be established in the territory of the Contracting Parties and Observer States to the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention), including Central and Eastern European countries and the EU Member States. For EU Member States, Emerald Network sites are those of Natura 2000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/EmeraldSites/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "8589f46b-8458-4d2d-9a70-d4b7bb14875d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8589f46b-8458-4d2d-9a70-d4b7bb14875d.png", "shortName": "NUTS", "fileSystemPath": null, "gemetConcepts": "statistical information system", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Nomenclature of Territorial Units for Statistics 2010 (NUTS), Aug. 2012", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/GISCO_Nomenclature_of_Territorial_Units_for_Statistics_2010_NUTS_Aug2012/MapServer", "label": 855, "associatedResources": null, "sdiUseLimitation": "This data set should be referred to as: &quot;Nomenclature of Territorial Units for Statistics (NUTS) 2010 - European Commission, Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: \nhttps://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Administrative_boundaries", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8589f46b-8458-4d2d-9a70-d4b7bb14875d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco-nuts_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "This dataset is based on: EuroBoundaryMap (EBM) v5.0. from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2008 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat), General Register Office for Scotland (GRO) (scale 1:100.000), Digital Chart of the World from ESRI for Kaliningrad, ArcWorld from ESRI for the Aral Sea, the Caspian Sea, some other borders. The different scale levels were derived by generalisation of the 100K scale. This data set consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore two line feature classes were created: one feature class for cartograhic joiners to identify where NUTS areas have one or more enclaves and a second line feature class for cartographic separators, to identify where the NUTS limits are in the sea. The arcs of two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region&apos;s name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This data set is consistent at all scales with the following data sets: &quot;Communes 2010 \u2013 European Commission, Eurostat/GISCO&quot;, &quot;Countries 2010, European Commission - Eurostat/GISCO&quot;, &quot;Coastlines 2010, European Commission - Eurostat/GISCO&quot;, &quot;Exclusive Economic Zones 2010, European Commission - Eurostat/GISCO&quot; . Different tests were performed to ensure conceptual- , domain- and topological- consistency. A detailed description of these tests can be found in the data base manual.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set represents the regions for level 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2010. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, respectively, moving from larger to smaller territorial units). NUTS 1 is the most aggregated level. The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction \n This data set has been created mainly from the EuroBoundary Map v 5.0 (Eurogeographics), geographic information from TurkStat for Turkey, the Global Administrative Unit Layer from FAO (UN) for Macedonia and a list of communes per statistical region provided by the countries. Six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. The public data set (1M - 60M) is available for download at http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1 The full data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. \nCoverage is the economical territory of the EU, EFTA countries and candidate countries as in 2010.\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Land/GISCO_Nomenclature_of_Territorial_Units_for_Statistics_2010_NUTS_Aug2012/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Statistical units", "publicationDate": "2019-06-04" }, { "sdiUuid": "0176688a-1d75-45bc-8419-aaf45a59a72f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0176688a-1d75-45bc-8419-aaf45a59a72f.png", "shortName": "ECRINS_Drainage_Network", "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), rivers - version 1, Jun. 2012", "restApi": "https://water.discomap.eea.europa.eu/arcgis/rest/services/Ecrins/ECRINS_EuropeanDrainageNetwork/MapServer", "label": 856, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0176688a-1d75-45bc-8419-aaf45a59a72f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-rivers_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "This dataset is derived from the segments and nodes data sets produced by CCM. Significant reprocessing has been carried out to clean the data sets, create hierarchy, populate incomplete fields (e.g. distance to the sea), create dummy rivers and, last but most important, give names to rivers.\nA systematic check of branching errors is currently being carried out to identify topological errors (a->B and should be A->C) based on discharge computation and name matching.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This personal geodatabase (compatible Access 1997 and beyond, ArcGis\u00ae 9.3.0 and beyond) contains the \u201criver segments\u201d datasets of Ecrins v1.0.\nRiver segments mimic the surface rivers on a simplified way, allowing simple journeying. As for FECs, but completed because of the process, any segment may have 0, 1 or 2 upstream and single downstream. The reason for single upstream is because spurious branching segments have been removed (~160,000) from CCM source during the Ecrins making.\nThe segments mimic rivers that are cultural, not simply defined objects. The \u201cdummy rivers\u201d (ID is CGENELIN) branches together all the segments which spring is most distant to the sea, then second most distant and connecting to this first set of segments, etc. the \u201ctrue rivers\u201d are those sets of segments having the same name, disregarding translation (segments on the Rheine, Rhin, etc. have same river ID). Name of true rivers is hosted in the EcrGaz database.\nDummy rivers maybe sorted out as \u201cmain drains\u201d that either connect FECs together (continental FECs) or are the most important in a coastal FEC. Main drains are hence the potential population of \u201cWFD large rivers\u201d, since the FEC average size is ~1/10 of the threshold catchment size of main rivers.\nThe geodatabases contains two feature classes: C_Tr where all segments lines are. This table links to FECs, since a FEC may contain several segments. Feature class C_node contains all nodes, making implicit the flow direction that is identified in C_tr by FNode (from node) and TNode (to node).\nField River_ID links to flat table RivNames in EcrGaz personal geodatabase\nFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://water.discomap.eea.europa.eu/arcgis/services/Ecrins/ECRINS_EuropeanDrainageNetwork/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c6d27566-e699-4d58-a132-bbe3fe01491b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Bio-geographical regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6d27566-e699-4d58-a132-bbe3fe01491b.png", "shortName": "Biogeographical_regions", "fileSystemPath": null, "gemetConcepts": "biodiversity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Biogeographical regions, Europe 2016, version 1", "restApi": "http://bio.discomap.eea.europa.eu/arcgis/rest/services/BioRegions/BiogeographicalRegions_LAEA/MapServer", "label": 857, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright\n\nInherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012:\nThe source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-3", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6d27566-e699-4d58-a132-bbe3fe01491b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_biogeo-regions_2016_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network.\n\nChanges in version 2011: \n\u2022 Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden.\n\nChanges in version 2015:\n\u2022 Update of coast lines (the Caspian and Black Sea)\n\u2022 Update Ukraine from continental to Pannonian region\n\u2022 Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan\n\nChanges in 2015, version 2:\n\u2022 Errors in the delineation of the ATL region have been corrected.\n\nChanges in 2016, version 1:\n\u2022 Correction of the lack of Pannonian region in Serbia\n\u2022 Removal of some Arctic islands which do not belong to the European part of Russia\n\nThe scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).\n\nThe Pannonian region of Serbia was missing in previous versions and this has been corrected in the 2016 version. Some Arctic islands which do not belong to the European part of Russia and which were erroneously included in previous versions have been removed.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://bio.discomap.eea.europa.eu/arcgis/services/BioRegions/BiogeographicalRegions_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "88bcd5b4-5ebf-442d-a9a0-bbef98704447", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88bcd5b4-5ebf-442d-a9a0-bbef98704447.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hedge|land cover|land use|landscape alteration|riparian zone|tree", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Riparian Zones Land Cover and Land Use 2012 (vector), Aug. 2015", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/RiparianZones/LCLU/MapServer", "label": 858, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88bcd5b4-5ebf-442d-a9a0-bbef98704447", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_rz-lclu-2012_p_2011-2013_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Semi-automatic classification of 1.5m VHR2 SPOT-6 and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (Optical VHR2 coverage over EU 2011-2013 and Riparian zones) and computer assisted visual refinement. Subsequently intersection of classification results with additional data (CLC 2006/2012, GIO HRL Tree Cover Density, Urban Atlas 2006/2012).\nMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\n\nThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\n\nLand Cover/Land Use (LC/LU) classification is tailored to the needs of biodiversity monitoring in a tailored buffer zone along large and medium-sized European rivers (with Strahler levels 3-8 derived from EU-Hydro). LC/LU is extracted from VHR satellite data and other available data in a buffer zone of selected rivers. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover, providing 80 distinct thematic classes with a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m.\n\nThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/RiparianZones/LCLU/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-07-19" }, { "sdiUuid": "d11f66eb-a6c5-4687-b32e-881d78ec879d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d11f66eb-a6c5-4687-b32e-881d78ec879d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape alteration|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Street Tree Layer 2012 (vector), May 2016", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/STL/MapServer", "label": 859, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d11f66eb-a6c5-4687-b32e-881d78ec879d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_stl-2012_p_2011-2013_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The STL is a separate layer from the Urban Atlas 2012 LC/LU layer produced within the Urban Atlas 2012 LC/LU urban mask for each FUA. The production of the Street Tree Layers was performed on the basis of SPOT 5 Supermode data used for the Urban Atlas 2012 production acquired between March and November months with a preference for spring and late summer imagery. An interactive automated classification approach was applied to identify contiguous rows or a patches of trees covering 500 m\u00b2 or more and with a minimum width of 10 m. A post-processing routine was applied to provide the results in vector format.\nThe Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Street Tree Layer (STL) is a separate layer from the Urban Atlas 2012 LU/LC layer produced within the level 1 urban mask for each FUA. It includes contiguous rows or a patches of trees covering 500 m\u00b2 or more and with a minimum width of 10 meter over \"Artificial surfaces\" (nomenclature class 1) inside FUA (i.e. rows of trees along the road network outside urban areas or forest adjacent to urban areas should not be included).\n\nUrban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/STL/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EFTA4|EU27", "publicationDate": "2019-07-19" }, { "sdiUuid": "db4cfdd3-0687-4460-a2c7-fd10ca29c214", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/db4cfdd3-0687-4460-a2c7-fd10ca29c214.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coast|coastal area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA coastline for analysis (raw) - version 3.0, Mar. 2017", "restApi": "http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/EEA_coastline_v2017/MapServer", "label": 860, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/db4cfdd3-0687-4460-a2c7-fd10ca29c214", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_coastline-anal-raw_1995-2012_rev03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the required extension of EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. For that reason, the GSHHG dataset is an input for the process which allow to populate the EUHYDRO shapefile.\nThe creation process was focused on generate the coastline as line datasets and, later, as secondary product, defining the polygon layer sea-land. Thank reiterative processes based on conversion (from water mask of EUHYDRO to polygon), selection, dissolving and conversion (to line) tools, it was possible to obtain a continuous and homogeneous coastline. The fundamental step into the workflow was the selection of sea features using the water mask polygon (with 255 value into EUHYDRO datasets). The inland water bodies (freshwaters) are rejected by these criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies).\nTwo Baltic lagoons have been modified with the data from SVAR geodatabase version 2012_2, Swedish Meteorological and Hydrological Institute (SMHI).\nThe patchwork coastline has been subjected to quality assessment based on evaluate the degree of coverage and topological errors.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).\nIn this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://marine.discomap.eea.europa.eu/arcgis/services/Marine/EEA_coastline_v2017/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7c0cf3f2-ab54-4cd0-a635-b322df7197f6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c0cf3f2-ab54-4cd0-a635-b322df7197f6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover|riparian zone", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe 2012 - Terrestrial habitats - version 3 revision 1, Feb. 2019", "restApi": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial/MapServer", "label": 861, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c0cf3f2-ab54-4cd0-a635-b322df7197f6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ecosystem-types-terrestrial-c_p_2012_v03_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "In comparison to the Ecosystem Type Map 2006 v2.1, the Ecosystem Type Map 2012 v3.1 shows changes in four specific aspects:\n\na) Changes of the mapping ruleset:\nThe ruleset to translate land cover information from CLC to EUNIS level 2 has been improved to v3.1 based a validation with in-situ vegetation relev\u00e9s and experience from ETM v2.1. Crosswalks to integrate new datasets of the Copernicus Land Monitoring Service are also based on ruleset v3.1.\n\nb) Use of updated datasets:\n\u2022 CORINE Land Cover 2012 accounting layer (instead of CLC 2012 status layer)\n\u2022 HRL Forests 2012 (Forest Type, Tree Cover Density)\n\u2022 HRL Imperviousness 2012 \n\u2022 OpenStreetMap (OSM) data 2015 (main roads, selected land use information)\n\nc) Integration of new available Copernicus data:\n\u2022 Urban Atlas 2012 \n\u2022 Riparian Zones 2012\n\u2022 Natura 2000 (N2k) 2012\n\u2022 HRL Grassland 2012\n\u2022 HRL Permanent Water Bodies 2012\n\nd) Spatial extension to include Azores\n\nMapping process:\nThe basic approach for the ecosystem type mapping is the geographic and thematic refinement of a certain land cover input datasets to translate the original LC information into the EUNIS classification. \nThe mapping approach is based on four elements:\n1. Original Land cover (LC) information to be mapped into EUNIS L2:\n- CORINE Land Cover\n- Copernicus Local Components: Urban Atlas, Riparian Zones, Natura 2000\n- High Resolution Layers (Forest, Imperviousness, Grassland, Permanent Waterbodies)\n- OpenStreetMap (Main roads, selected LC classes)\n\n2. Mapping rules based on crosswalks:\nCrosswalks provide the information, from what original land cover information EUNIS classes can be derived. The Mapping rules define which (stable and variable) datasets are needed for the refinement and how they have to be classified (setting thresholds) to translate the original LC information into the EUNIS classification.\n\n3. Stable core input datasets \nDatasets to be used for the refinement: Environmental zone, potential natural vegetation, altitude etc.\n\n4. Variable input datasets\nHRL Imperviousness, HRL Forest (Tree Cover Density)\n\nEach LC input dataset is processed and mapped into EUNIS L2 independently with its own crosswalk. The components are assembled together later in the following order (priority from low to high):\n1. CLC 2012 accounting\n2. Urban Atlas 2012\n3. Riparian Zones 2012\n4. Natura 2000 (N2k) 2012\n5. HRL Imperviousness 2012\n6. OSM land use 2015\n7. HRL Grassland 2012\n8. HRL Permanent Water Bodies 2012\n9. OSM main roads 2015\n10. HRL Forest 2012 (Forest Type)\n\nOutputs:\na) Primary output is the actual map representing EUNIS classes on Level 2 with a resolution of 100 x 100 m. \nb) The Reliability Map is the secondary output containing geometric & thematic reliability, rule_ID, data source and MAES L2 classification for each raster cell.\n\nMore information can be found in the ETC/BD Technical Paper 11/2018 \"Ecosystem Type Map v3.1-Terrestrial and marine ecosystems\" provided with the dataset (Ecosystem_mapping_v3_1.pdf).", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set aims to contribute to a better biological characterization of terrestrial ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 2 (this corresponds to EUNIS level 3 for marine habitats).\n\nThe map combines spatially explicit data on land cover information with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/BD is to improve the biological description of land based ecosystem types and their spatial distribution across Europe.\n\nSince it is partly based on non-spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. For terrestrial habitats the geometric and thematic accuracy is estimated in the reliability map 2012 v3.1 as secondary product.\n\nThe work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further ad-dresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The MAES ecosystem typology differentiates three levels and with certain differences follows the EUNIS classification: whereas MAES level 2 the proposal corresponds to EUNIS level 1, MAES level 3 follows closely the EUNIS level 2. A representation of MAES level 2 is contained in the reliability map as secondary product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "2f117cba-a2dd-49d2-af86-4cb52ba56ed0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f117cba-a2dd-49d2-af86-4cb52ba56ed0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover|riparian zone", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe 2012 - Terrestrial habitats reliability map - version 3 revision 1, Feb. 2019", "restApi": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial_Reliability/MapServer", "label": 862, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f117cba-a2dd-49d2-af86-4cb52ba56ed0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ecosystem-types-terrestrial-r_p_2012_v03_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The reliability map is a secondary output and produced in the course of the processing of the terrestrial part of the Ecosystem Type Map 2012 v3.1. More information can be found in the ETC/BD Technical Paper 11/2018 \"Ecosystem Type Map v3.1-Terrestrial and marine ecosystems\" provided with the dataset (Ecosystem_mapping_v3_1.pdf).", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set is a secondary product accompanying the terrestrial part of the Ecosystem Type Map 2012 v3.1. It provides supplemental information:\n\u2022 estimated geometric reliability ranging from 1 \u2013 10 (very low to very high)\n\u2022 estimated thematic reliability ranging from 1 \u2013 10 (very low to very high)\n\u2022 Main original LC input data source:\n - Corine Land Cover\n - Urban Atlas\n - Riparian Zones\n - Natura 2000 (N2k)\n - High Resolution Layer Forest\n - High Resolution Layer Grassland\n - High Resolution Layer Imperviousness\n - High Resolution Layer Permanent Water Bodies\n - OpenStreetMap Roads\n - OpenStreetMap Landuse\n\u2022 MAES Level 2 (Urban, Cropland, Grassland, Woodland and Forest, Heathland and shrub, Sparsely vegetated land, Wetlands, Marine inlets and transitional waters)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial_Reliability/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "aa791cf1-ead5-4364-b0c3-4c54dc83c7e4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land cover|Oceanographic geographical features|Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa791cf1-ead5-4364-b0c3-4c54dc83c7e4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "ecosystem|ecosystem type|environmental assessment|habitat|land cover", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Ecosystem types of Europe 2012 - Marine habitats - version 3 revision 1, Feb. 2019", "restApi": "https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Marine/MapServer", "label": 863, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa791cf1-ead5-4364-b0c3-4c54dc83c7e4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_ecosystem-types-marine_p_2012_v03_r01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The process of creation of this dataset is as follows:\n\nA \u2013 Marine habitats Level 1\n1.\tCreate Sea mask, Sea Extent and Sea Region extended mask from CLC 2012 v18.5, Europe Seas 2010-2017 (vector 100k) and MSFD marine regions 2017 (vector 100k)\n \nB \u2013 New EUNIS-crosswalks\n2.\tApply \u201cEUSEAMAP/new EUNIS Crosswalk\u201d to derive EUNIS Level 3 from EUSEAMAP 2017 \n3.\tApply \u201cGeology/new EUNIS Crosswalk\u201d to derive seabed geology from EMODNET\n \nC \u2013 Continental Shelf (for Mediterranean Region only)\n4.\tDerive Mediterranean continental shelf and littoral mask from Continental marine margins, EMODNET bathymetry and Sea Regions extended mask\n \nD \u2013 Marine habitats level 3 separate processing per each of the 5 sea regions\n5.\tApply Sea Region bathymetry rules to define sea zone\n6.\tApply Biological zone rules to extract biological zone per each sea region:\n-\tLittoral\n-\tInfralittoral \n-\tCircalittoral\n-\tOffshore Circalittoral\n-\tUpper bathyal\n-\tLower bathyal\n-\tAbyssal\n\nE \u2013 Sea Ice (for Arctic and Baltic only)\n7.\tApply minimum and maximum Sea Ice extent to derive sea ice coverage for Arctic and Baltic region\n \nF \u2013 Final Integration\n8.\tCombine of all EUNIS maps (Cell statistics)\n9.\tEuclidean Allocation for gap filling\n10.\tAdjustment of final extent\n\nH - Transitional habitats\n11. Deriving \"Estuaries\" and \"Coastal Lagoons\" from CLC Accounting, Riparian Zones and Natura 2000\n\nMore information can be found in the ETC/BD Technical Paper 11/2018 \"Ecosystem Type Map v3.1-Terrestrial and marine ecosystems\" provided with the dataset (Ecosystem_mapping_v3_1.pdf).", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The data set aims to contribute to a better biological characterization of European marine ecosystems. As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 3 for marine habitats including information on sea ice coverage (this corresponds to EUNIS level 2 for terrestrial habitats).\n\nThe map combines spatially explicit data on marine bathymetry and sea-bed with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/ULS is to improve the biological description of marine based ecosystem types and their spatial distribution.\n\nThe work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The data set represents 2 classes of the MAES classification level 3, namely \u201cMarine inlets and transitional waters\u201d and \u201cMarine\u201d.\n\nThe dataset comprises the following information:\n\u2022 Sea region (1 \u2013 Arctic, 2 \u2013 Atlantic, 3 \u2013 Baltic, 4 \u2013 Mediterranean, 5 \u2013 Black Sea)\n\u2022 Sea zone (1 \u2013 Littoral, 2 \u2013 Infralittoral, 3 \u2013 Circalittoral, 4 \u2013 Offshore circalittoral, 5 \u2013 Upper bathyal, 6 \u2013 Lower bathyal, 7 \u2013 Abyssal,8 - Coastal Lagoons, 9 - Coastal Lagoons)\n\u2022 Substrate (0 \u2013 undetermined substrate, 1 \u2013 rock and biogenic, 3 \u2013 coarse sediment, 4 \u2013 mixed sediment, 5 \u2013 sand, 6 \u2013 mud)\n\u2022 Sea ice coverage (0 \u2013 no sea ice presence, 1 \u2013 seasonal sea ice presence, 2 \u2013 perennial sea ice presence)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_Marine/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "74e5eff0-72d0-42d2-b1ca-d3202b060ecf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74e5eff0-72d0-42d2-b1ca-d3202b060ecf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "grassland|land cover|land use|nutrient|pressure", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Grassland intensification trend by nutrient inputs 2005-2010, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Grassland_intensification_Nutrient_2005_2010/MapServer", "label": 864, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74e5eff0-72d0-42d2-b1ca-d3202b060ecf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_grassland-intensification-nuts3_2005-2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Nutrient input is a specific indicator related to the intensification processes in the management of croplands and grassland ecosystems. \n\nThe input data are taken from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors that were calculated to assess the pressure on cropland and grassland ecosystems based on the spatial distribution of ecosystems using the European Ecosystem Map. \n\nEEA nutrient account data for 2005 to 2010 are aggregated at NUTS3 (NUTS2 for Germany) level. Yearly change rates and the average change rates are calculated. The average change rate (i.e. Sum of all yearly change rates divided by number of change rates) is used as trend indicator.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of grassland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_Nutrient_2005_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU28", "publicationDate": "2019-06-04" }, { "sdiUuid": "a3fb227d-3666-400b-9152-58f82acb525b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a3fb227d-3666-400b-9152-58f82acb525b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "grassland|land cover|land use|nutrient|pressure|state", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Grassland intensification by management practices in 2010, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Grassland_intensification_2010/MapServer", "label": 865, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a3fb227d-3666-400b-9152-58f82acb525b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_high-intensification-grassland_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The dataset shows the percentage of grassland highly pressured in 2010 respect to the total of grassland area by NUTS as state indicator (at NUTS3, NUTS2 for Germany).\nThe state of pressure were calculated by administrative unit. Briefly, the data derives from the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (*). This was used to localise the pressures on agroecosystems coming from management practices at the European level. The nitrogen application data was selected as proxy for measuring the intensification pressure on agro-ecosystem from the Farm Structure Survey (FSS). Those were disaggregated using the Land Use/Cover area Frame Statistical Survey (LUCAS) observation on crop types (Jacques and Gallego, 2005). Multinominal regression, including factors as topographic conditions, soil and climate conditions, population density and accessibility, was used to predict the intensity classes (Temme and Verburg, 2011).\n\nThe indicator developed identifies the percentage of grassland areas highly pressured (classes 4 and 5) in 2010, respect to the total of grassland area by NUTS.\n* https://www.eea.europa.eu/publications/mapping-europes-ecosystems\n* https://projects.eionet.europa.eu/eea-ecosystem-assessments/library/working-documents-and-maps-ecosystem-pressures/deliverables/final_reports_ecosystempressures/final_reports_ecosystempressures/3.finalreport_task18413_ecosystempressure_agroecosystems\n\nJacques P., F.J. Gallego 2005 The LUCAS project\u2014the new methodology in the 2005\u20132006 surveys Workshop on Integrating Agricultura and Environment: CAP Driven Land Use Scenarios, Belgirate (2005)\n\nTemme, A. & Verburg, P.H. (2011). Mapping and modelling of changes in agricultural intensity at the European extent. Agriculure, Ecosystems & Environment 140, 46-56. Kleijn et al., 2009", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset shows the percentage of grasslands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total grassland area within NUTS3 regions (NUTS2 for Germany).\nThe management pressure on grassland was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc).\nThis dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Netherlands|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|United Kingdom", "publicationDate": "2019-06-04" }, { "sdiUuid": "19ab220c-bcef-41b3-96a9-4ae820f951dc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/19ab220c-bcef-41b3-96a9-4ae820f951dc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "agricultural land|land cover|land use|nutrient|pressure", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cropland intensification by CORINE Land Cover changes 2006-2012, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_LCF_2006_2012/MapServer", "label": 866, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19ab220c-bcef-41b3-96a9-4ae820f951dc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_cropland-intensification-lcf_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Land cover changes between the 2 most recent Corine Land Cover layers (2006, 2012) were used to identify the internal flows related to more intense use. The internal flows (LCF) related to intensification are defined based on an expert consultation done in the context of the ETC-ULS*. Those represent land cover changes that are linked to increase in resource and machinery use. Under this point, the LCF selected were: \n- lcf421: Conversion from arable land to permanent irrigation perimeters: Extension of permanent irrigation (incl. rice fields) over arable land\n- lcf441: Conversion from permanent crops to permanent irrigation perimeters: Conversion from permanent crops (incl. when associated with arable land - CLC 241) to permanent (large) irrigation perimeters and rice fields\n- lcf451: Conversion from arable land to vineyards and orchards: Plantation of vineyards, orchards on arable land.\n- lcf452: Conversion from arable land to olive groves: Plantation of olive groves on arable land.\n- lcf453: Diffuse conversion from arable land to permanent crops: Conversion from uniform arable land to associations of permanent crops and annual crops (CLC241).\n- lcf463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns.\n\nAn intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a cropland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 (NUTS2 for Germany) level, leading to the percentage of LCF change per specific land cover type.\n\n*https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency/deliverables/", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of cropland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_LCF_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "98fed314-cc2a-4744-a4c9-1ee7473d58cb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98fed314-cc2a-4744-a4c9-1ee7473d58cb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Water and Wetness 2015 (raster 20m), Mar. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetness_2015/MapServer", "label": 867, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98fed314-cc2a-4744-a4c9-1ee7473d58cb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_waw_2009-2015", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\nQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and (v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\nThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetness_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "7cc50241-0534-42c7-be99-76020463ebe6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7cc50241-0534-42c7-be99-76020463ebe6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "agrosystem|land cover|land use|nutrient|pressure", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cropland intensification trend by nutrient inputs 2005-2010, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_Nutrient_2005_2010/MapServer", "label": 868, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7cc50241-0534-42c7-be99-76020463ebe6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_cropland-intensification-nuts3_2005-2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Nutrient input is a specific indicator related to the intensification processes in the management of croplands and grassland ecosystems. \nThe input data was taken from the EEA draft nutrient accounts*, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors that were calculated to assess the pressure on cropland and grassland ecosystems based on the spatial distribution of ecosystems using the European Ecosystem Map.\nEEA draft nutrient account data for 2005 to 2010 are aggregated at NUTS3 (NUTS2 for Germany) level. Yearly change rates and the average change rates are calculated. The average change rate (i.e. Sum of all yearly change rates divided by number of change rates) is used as trend indicator.\n\n*http://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2015/1.8.2.2-assessment-critical-loads-nitrogen-phosphorus-and-cadmium-and-their/naccounts_uma", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of cropland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_Nutrient_2005_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EU28", "publicationDate": "2019-06-04" }, { "sdiUuid": "7067f539-e0e6-4be5-9f97-471362b8466c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7067f539-e0e6-4be5-9f97-471362b8466c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|pressure|state", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cropland intensification by management practices in 2010, Nov. 2016", "restApi": "http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_2010/MapServer", "label": 869, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7067f539-e0e6-4be5-9f97-471362b8466c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_high-intensification-cropland_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The dataset shows the percentage of cropland highly pressured in 2010 respect to the total of cropland area by NUTS as state indicator (at NUTS3, NUTS2 for Germany). \nThe state of pressure were calculated by administrative unit. Briefly, the data derives from the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (*). This was used to localise the pressures on agroecosystems coming from management practices at the European level. The nitrogen application data was selected as proxy for measuring the intensification pressure on agro-ecosystem from the Farm Structure Survey (FSS). Those were disaggregated using the Land Use/Cover area Frame Statistical Survey (LUCAS) observation on crop types (Jacques and Gallego, 2005). Multinominal regression, including factors as topographic conditions, soil and climate conditions, population density and accessibility, was used to predict the intensity classes (Temme and Verburg, 2011).\n\nThe dataset developed identifies the percentage of cropland areas highly pressured (classes 4 and 5) in 2010, respect to the total of cropland area by NUTS.\n\n* https://www.eea.europa.eu/publications/mapping-europes-ecosystems\n* https://projects.eionet.europa.eu/eea-ecosystem-assessments/library/working-documents-and-maps-ecosystem-pressures/deliverables/final_reports_ecosystempressures/final_reports_ecosystempressures/3.finalreport_task18413_ecosystempressure_agroecosystems\n\nJacques P., F.J. Gallego 2005 The LUCAS project\u2014the new methodology in the 2005\u20132006 surveys Workshop on Integrating Agricultura and Environment: CAP Driven Land Use Scenarios, Belgirate (2005)\n\nTemme, A. & Verburg, P.H. (2011). Mapping and modelling of changes in agricultural intensity at the European extent. Agriculure, Ecosystems & Environment 140, 46-56. Kleijn et al., 2009", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset shows the percentage of croplands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total cropland area within NUTS3 regions (NUTS2 for Germany).\nThe management pressure on croplands was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc).\nThis dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Austria|Belgium|Bulgaria|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Netherlands|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|United Kingdom", "publicationDate": "2019-06-04" }, { "sdiUuid": "9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Ploughing Indicator 2015 (raster 20m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_PloughingIndicator_2015/MapServer", "label": 870, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_plough_2010-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\nThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_PloughingIndicator_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "91762e0b-2e33-4c03-a317-81123b066a15", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/91762e0b-2e33-4c03-a317-81123b066a15.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Additional Support Layer 2012 (raster 20m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2012/MapServer", "label": 871, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91762e0b-2e33-4c03-a317-81123b066a15", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_fadsl_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Forest Additional Support Layer (FADSL) provides information on trees under agricultural or urban use by utilization of CLC 2012 and HRL Imperviousness 2012. Considering different options for separating real \u201cforest\u201d areas as far as possible compliant with the FAO definition from non-forest tree-covered areas (i.e. trees predominantly used for agricultural practices, trees in an urban context) for the 20m Forest Type product, the following procedure is applied: In order to avoid misinterpretation of the 20m Forest Type product by potential users, specifically with respect to the contents / accuracies / information origins of the agreed additional information on \"trees predominantly used for agricultural practices - broadleaved\" (as derived from CLC classes 2.2.2 and 2.2.3) and \"trees in urban context \u2013 broadleaved and coniferous\" (as derived from a filtering approach applied to HR Imperviousness and from CLC class 1.4.1 Green Urban Areas), this additional information is made available through a labeling approach. In technical terms, this requires that in addition to the 20m Forest Type product\u2019s basic raster data set with the nomenclature of [0: all non-tree and non-forest areas, 1: broadleaved forest, 2: coniferous forest] an additional support raster data set is provided with information on the occurrence of \"trees predominantly used for agricultural practices - broadleaved\" and \"trees in urban context \u2013 broadleaved and coniferous\" \u2013 both only within the confines of broadleaved and coniferous tree areas of the basic product (not beyond!) \u2013 in the sense of additional, and not contradicting/conflicting information (as would be the case e.g. if CLC orchards would be identified in non-tree areas). \nGeometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: not assessed.\nQuality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "35a036bb-c027-401c-8625-2ecf722e8461", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/35a036bb-c027-401c-8625-2ecf722e8461.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Grassland 2015 (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Grassland_2015/MapServer", "label": 872, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/35a036bb-c027-401c-8625-2ecf722e8461", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_gra_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\nThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Grassland_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "b77b7ce3-04f8-44ae-aaae-b5e5af0f9682", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Grassland 2015 (raster 100m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Grassland_2015/MapServer", "label": 873, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_gra_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\nThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Grassland_2015/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "28b669b7-6b5c-4a51-a850-86646626b43d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b669b7-6b5c-4a51-a850-86646626b43d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Forest Additional Support Layer 2015 (raster 20m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2015/MapServer", "label": 874, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b669b7-6b5c-4a51-a850-86646626b43d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_fadsl_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Forest Additional Support Layer (FADSL) provides information on trees under agricultural or urban use by utilization of CLC 2012 and HRL Imperviousness 2015. Considering different options for separating real \u201cforest\u201d areas as far as possible compliant with the FAO definition from non-forest tree-covered areas (i.e. trees predominantly used for agricultural practices, trees in an urban context) for the 20m Forest Type product, the following procedure is applied: In order to avoid misinterpretation of the 20m Forest Type product by potential users, specifically with respect to the contents / accuracies / information origins of the agreed additional information on \"trees predominantly used for agricultural practices - broadleaved\" (as derived from CLC classes 2.2.2 and 2.2.3) and \"trees in urban context \u2013 broadleaved and coniferous\" (as derived from a filtering approach applied to HR Imperviousness and from CLC class 1.4.1 Green Urban Areas), this additional information is made available through a labeling approach. In technical terms, this requires that in addition to the 20m Forest Type product\u2019s basic raster data set with the nomenclature of [0: all non-tree and non-forest areas, 1: broadleaved forest, 2: coniferous forest] an additional support raster data set is provided with information on the occurrence of \"trees predominantly used for agricultural practices - broadleaved\" and \"trees in urban context \u2013 broadleaved and coniferous\" \u2013 both only within the confines of broadleaved and coniferous tree areas of the basic product (not beyond!) \u2013 in the sense of additional, and not contradicting/conflicting information (as would be the case e.g. if CLC orchards would be identified in non-tree areas). \nGeometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: not assessed. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). \nThe production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "845c7684-703b-475a-b7f3-d7bd719b15f8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/845c7684-703b-475a-b7f3-d7bd719b15f8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Grassland Vegetation Probability Index 2015 (raster 20m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_GrasslandProbabilityIndex_2015/MapServer", "label": 875, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/845c7684-703b-475a-b7f3-d7bd719b15f8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_gravpi_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing.\nThe production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_GrasslandProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "84765ed4-ae06-4280-b2ae-96d3e10ce532", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/84765ed4-ae06-4280-b2ae-96d3e10ce532.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Water and Wetness Probability Index 2015 (raster 100m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer", "label": 876, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84765ed4-ae06-4280-b2ae-96d3e10ce532", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_wwpi_2009-2015", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\nQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and (v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2015, "abstract": "The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\nThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8108e203-59db-4672-b9e0-c1863fd6523b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8108e203-59db-4672-b9e0-c1863fd6523b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Water and Wetness 2015 (raster 100m), Mar. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetness_2015/MapServer", "label": 877, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8108e203-59db-4672-b9e0-c1863fd6523b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_waw_2009-2015", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\nQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and (v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2015, "abstract": "The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\nThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetness_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "0af91f4e-9e85-4df7-a1f8-8b96fec27acf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0af91f4e-9e85-4df7-a1f8-8b96fec27acf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest management|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Water and Wetness Probability Index 2015 (raster 20m), May 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer", "label": 878, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af91f4e-9e85-4df7-a1f8-8b96fec27acf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_wwpi_2009-2015", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity.\nQuality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and (v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2015, "abstract": "The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.\nThe production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Classified Change 2006-2012 CLC Synchronous (raster 20m), Apr. 2018", "restApi": "https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessClassifiedChange_06_12/MapServer", "label": 879, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imcc_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2012, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessClassifiedChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "50dd4172-ba90-4d6d-90ef-88f5d1d84795", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50dd4172-ba90-4d6d-90ef-88f5d1d84795.png", "shortName": "CDDA", "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Nationally designated areas (CDDA) polygons for public access - version 17, Jun. 2019", "restApi": null, "label": 880, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA), Estonian Environmental Register 01.01.2019, \u00a9Finnish Environment Institute, 2018.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50dd4172-ba90-4d6d-90ef-88f5d1d84795", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly_p_2018-2019_v17_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Geopackage|PGeo", "sdiElon": null, "lineage": "Production process will be explained in an update of the document CDDA_v16_2018.pdf available in the previous version of the dataset. We are waiting for ETC/BD for this task but as we are able to publish much earlier than before because of the new reporting mechanism, the ETC/BD has not planned for the time to update the report right now. In the meantime, and for reference, the document CDDA_v16_2018.pdf corresponding to the earlier version is provided together with this dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\n\nThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom.\n\nEEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.\n\nTwo versions of the dataset are provided. The full dataset (\"CDDA_2019_v01_public\") includes the entire geographical coverage including nationally designated areas in overseas entities. The \"CDDA_2019_v01_public_EuropeEPSG3035\" version includes only continental Europe, i.e. excludes the overseas entities. Both versions are provided in GDB and GPKG formats.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia", "publicationDate": "2019-06-19" }, { "sdiUuid": "81754d01-8bc3-49aa-a52c-86b3d212f94e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/editor-catalogue/srv/api/records/86356e26-cc03-4689-9795-d1e8eccc22b7/attachments/eea_r_3035_1_km_forest-richness-hab-sps_2012.png", "shortName": "forest_habitats_species_richness_2012", "fileSystemPath": null, "gemetConcepts": "conservation|environmental indicator|forest conservation|forest policy|indigenous forest|primary forest", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Richness of forest-related species and habitats indicator 2012 dataset, Nov. 2018", "restApi": null, "label": 881, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81754d01-8bc3-49aa-a52c-86b3d212f94e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_forest-richness-hab-sps_p_2007-2012_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The dataset shows a dimensionless indicator (values between 0 and 1) to assess the biodiversity values of forested areas in Europe. It has been developed starting from 10km resolution data and the final output is at 1km resolution, GeoTiff format. The values close to 1 mean high presence of habitats and species related to forest, whereas the lower richness are closer to 0.\nThe input data derives from the information about habitat and species conservation status that Member States report under the Art.17 and Art.12 reporting obligations. \nThe information about presence-absence of each species has been used to count the total number of forest bird species, forest non-bird species and forest habitats per 10km pixel and produce three related sub-indicators. A mask Forest-NonForest at 1km resolution has been applied to the input sub-indicators to consider only forested area.\nEach sub-indicator has then been normalized per forest type: Boreal, Hemiboreal, Alpine Coniferous, Acidophylous oakwood, Mesophytic deciduous, Beech, Mountainous beech, Thermophilous beech, Broadleaved evergreen and Coniferous Mediterranean. The composite indicator of forest biodiversity was then derived summing per each pixel the values of the single input sub-indicators. The final Forest Biodiversity indicator was then rescaled to values between 0 and 1.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset refers to the Richness index of Species and Habitats of Conservation Concern indicator. This indicator has been developed to be used as a sub-indicator for contributing to the identification of the High Nature Value (HNV) Forest Areas as it will be integrated with other sub-indicators of horizontal structure, management and naturalness to generate the final composite indicator. It is composed itself of three sub-indicators: \u201cForest Non-bird species\u201d, \u201cForest bird species\u201d and \u201cForest habitats\u201d. All the three sub-indicators build on distribution data from the reporting of habitat and species conservation status under Article 17 of the Habitats Directive and Article 12 of the Birds directive which describe their distribution at 10km grid resolution. The forest species and the forest habitats proposed to be used for the HNV forest area identification were selected based on expert judgement (ETC/BD) and raster files reporting the count of forest species and habitats were created. At this stage, no weight is applied based on Habitat and Species prioritization, conservation status or endemism. \nThe sub-indicators were then normalized for each European forest type and successively combined not assigning any specific weight to a particular sub-indicator.\nThe values for this indicator, present in this dataset, ranges between 0 and 1. The values close to 1 mean high presence of habitats and species related to forest, whereas the lower richness are closer to 0. It covers the forested areas of the EU27 Member States except for Cyprus (data from Croatia will be reported starting from the next update regarding the period 2013-2018).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Bulgaria|Czechia|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia", "publicationDate": "2019-07-17" }, { "sdiUuid": "1f598e5a-66af-4981-970d-28b1f0c29648", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f598e5a-66af-4981-970d-28b1f0c29648.png", "shortName": "forest_assemblage_species_2006", "fileSystemPath": null, "gemetConcepts": "conservation|environmental indicator|forest conservation|forest policy|indigenous forest|primary forest", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natural assemblage tree species indicator 2006 dataset, Nov. 2017", "restApi": null, "label": 882, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f598e5a-66af-4981-970d-28b1f0c29648", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_forest-assemblage-sps_p_2006_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1km", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The natural assemblage species indicator is a proxy for measuring the congruency between the potential and current tree species distribution. \n\nThe data sources are: \n(1) EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability \u2013EEA- as potential distribution.\n(2) Relative probability of presence of forest tree species (RPP) of European Atlas of Forest Tree Species \u2013JRC- as current distribution.\n\nThe EUNIS dataset provides information about forest habitats and EU tree atlas about tree species indicator. In order to get and harmonized unit of mapping the tree species datasets have been grouping according to the dominant species by each EUNIS habitat types by a cross relation table.\n\nThe natural assemblage species indicator requires information about the habitat suitability distribution. For this purpose, the EUNIS habitats distribution maps have to be converted into Boolean data showing value = 0 where the area is not suitable and value =1 where the area is suitable for a particular habitat. The EUNIS fuzzy values where converted to Boolean maps using as thresholds defined by the percentile 25 of the statistical distribution of the relev\u00e9s points linking to the EUNIS habitats suitability raster. \nIn order to assess the congruency of current vegetation with the potential distribution of forest types we developed the following index\nFractional congruency of forest species composition=\u2211(C\u2219P)i \n\nWhere i are the EUNIS forest habitats, C represents the current fractional area cover of dominant assemblage tree species according to the JRC maps and expressed in the fuzzy values between 0 and 1 and P is the presence of the i-th EUNIS habitats in the potential vegetation expressed with a Boolean value of 0 (absence) or 1 (presence).\nAs is show in the next figure, the Natural assemblage species indicator is an overlapping indicator of the individual Natural assemblage species index layers (one per EUNIS habitats). Due to, according to the potential distribution maps, one cell could be potentially suitable for several EUNIS habitats types, in the overlapping cells, the output cell is the maximum value of input cells\nThe dataset values express, in the fuzzy values between 0 and 1, the percentage of tree species vegetation agreed with potentially dominant tree species by pixels. This measure is independent of the current forest coverage. The values close to 1 mean high percentage of native tree species (natural) whereas values close to 0 are an approximation of a low level of naturalness, being a high percentage of non-native species.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The natural assemblage species indicator dataset is a forest dataset that measures the congruency between the potential and current tree species distribution. The natural assemblage indicator is considered one of the key indicator for the identification of High Nature Value forest area in Europe. The reference year for this data set is 2006 and the spatial coverage is including the 28 EU Member States, Liechtenstein, Norway, Switzerland, and Turkey.\n\nThe methodological approach is based on two data sources: (1) EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability \u2013EEA- as potential distribution; (2) Relative probability of presence of forest tree species (RPP) of European Atlas of Forest Tree Species \u2013JRC- as current distribution\n\nThe dataset values express, in the fuzzy values between 0 and 1, the percentage of tree species vegetation agreed with potentially dominant tree species by pixels. This measure is independent of the current forest coverage. The values close to 1 mean high percentage of native tree species (natural) whereas values close to 0 are an approximation of a low level of naturalness, being a high percentage of non-native species.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Liechtenstein|Norway|Switzerland|Turkey", "publicationDate": "2019-07-17" }, { "sdiUuid": "2588fc43-d855-439b-a6e9-941a59a0e50e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2588fc43-d855-439b-a6e9-941a59a0e50e.png", "shortName": "forest_area_2012", "fileSystemPath": null, "gemetConcepts": "afforestation|forestry|forestry unit|indicator", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Forest Area 2012 based on Copernicus HRL Forest products - version 1, Oct. 2018", "restApi": null, "label": 883, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2588fc43-d855-439b-a6e9-941a59a0e50e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_forest-area-2012_p_2012_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This dataset is the European forest area indicator that shows the forest area in 100m spatial resolution, according to FAO forest definition (minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use).\nThe forest area indicator is based on the HRL forest product EU Copernicus Programme. It is the combination of the Tree Cover Density (TCD), the Forest Type product (FTY) and the Forest Additional Support Layer (FDASL) datasets at 20m -2012-.\nBy the combination of FTY and FADSL we developed a mask that allows to select from TCD all the tree areas fully compliant to FAO definition.\nThe forest area indicator is a Boolean dataset (forest/non-forest product). The pixel value is 1, forest area, where forest is the major coverage in the pixel; otherwise the pixel value is 0, non-forest.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set shows the European forest area in 2012 at 100m spatial resolution, covering EEA39 countries. It is based on Copernicus HRL forest products at 20m spatial resolution and complies with the FAO forest definition (i.e. minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). \nAfter the selection of those pixels identified as forest by the HRL forest products and also compliant with FAO criteria, the forest area dataset at 100m was computed as a Boolean product (i.e. forest / non-forest). The value 1 (forest area) correspond to the pixels where forest is the major coverage; otherwise the pixel value is 0 (non-forest area).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-07-17" }, { "sdiUuid": "59acf70f-f5dc-4d4b-8c62-cfece878e795", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/59acf70f-f5dc-4d4b-8c62-cfece878e795.png", "shortName": "EIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units", "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE EIONET Spatial Datasets - INTERNAL VERSION - version 1.3, Apr. 2019", "restApi": null, "label": 884, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59acf70f-f5dc-4d4b-8c62-cfece878e795", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-eionet_i_2001-2019_v01_r03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|Spatialite", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nSome additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\ncYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5\ncountry:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used.\nlat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nlon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available)\nstatusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information).\nstatusDate: Date of reference for the status code (typically the date when the data was extracted for publication).\nremarks:Additional information about the status code of the superseding object, if any.\nqcCheck:Additional information about checks performed in the data.\n\n2) Data sources\n\nInformation reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013.\n\nAdditional information was reported under the \"WISE - Spatial Data (WISE-5)\" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting.\n\nFor the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. \n\n3) Data processing\n\nThe EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. \n\nFor EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013.\n\nThe geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible.\n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.\n\n5) WISE registers\n\nFor river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit\n\nFor surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody\n\nFor monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2019-02-12. \n\nThis data set is available only for internal use of the European Environment Agency and may contain objects that are deprecated (i.e. that have been retired or superseded) and objects were marked confidential by data providers. \nPlease search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Environment Agency under the State of Environment reporting obligations.\nFor the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the \"WISE WFD Reference Spatial Datasets reported under Water Framework Directive\".\n\nRelevant concepts: \n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.\nAquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water.\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured.\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course.\nLake: Body of standing inland surface water.\nRiver basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins.\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence).\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "afe358ed-2c31-4176-8a83-13a530c57091", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/afe358ed-2c31-4176-8a83-13a530c57091.png", "shortName": "forest_area_2015", "fileSystemPath": null, "gemetConcepts": "afforestation|forestry|forestry unit|indicator", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Forest Area 2015 based on Copernicus HRL Forest products - version 1, Oct. 2018", "restApi": null, "label": 885, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Forest", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/afe358ed-2c31-4176-8a83-13a530c57091", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_forest-area-2015_p_2015_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This dataset is the European forest area indicator that shows the forest area in 100m spatial resolution, according to FAO forest definition (minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). \nThe forest area indicator is based on the HRL forest product EU Copernicus Programme. It is the combination of the Tree Cover Density (TCD), the Forest Type product (FTY) and the Forest Additional Support Layer (FDASL) datasets at 20m -2015-. \nBy the combination of FTY and FADSL we developed a mask that allows to select from TCD all the tree areas fully compliant to FAO definition.\nThe forest area indicator is a Boolean dataset (forest/non-forest product). The pixel value is 1, forest, where forest is the major coverage in the pixel; otherwise the pixel value is 0, non-forest.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set shows the European forest area in 2015 at 100m spatial resolution, covering EEA39 countries. It is based on Copernicus HRL forest products at 20m spatial resolution and complies with the FAO forest definition (i.e. minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use).\nAfter the selection of those pixels identified as forest by the HRL forest products and also compliant with FAO criteria, the forest area dataset at 100m was computed as a Boolean product (i.e. forest / non-forest). The value 1 (forest area) correspond to the pixels where forest is the major coverage; otherwise the pixel value is 0 (non-forest area).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-19" }, { "sdiUuid": "463f357e-6419-461b-9ed1-c38948a75f09", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/463f357e-6419-461b-9ed1-c38948a75f09.png", "shortName": "Imperviousness_Change_20m_2012-2015", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2012-2015 (raster 20m), Apr. 2018", "restApi": null, "label": 886, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/463f357e-6419-461b-9ed1-c38948a75f09", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imdc_2011-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "9538a26a-d55d-4ba0-b77c-92eeb61d3061", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9538a26a-d55d-4ba0-b77c-92eeb61d3061.png", "shortName": "Riparian_Zones_Green_Linear_Element", "fileSystemPath": null, "gemetConcepts": "hedge|land cover|land use|landscape alteration|riparian zone|tree", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Riparian Zones Green Linear Elements (vector), Aug. 2015", "restApi": null, "label": 887, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9538a26a-d55d-4ba0-b77c-92eeb61d3061", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_gle_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Semi-automatic classification and visual interpretation of Green Linear Elements (Nomenclature: 1: trees; 2: hedgerows and scrub) on 1.5m SPOT-6 and 2.5m SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (Optical VHR2 coverage over EU 2011-2013 and Riparian zones) with subsequently automated GIS-based generalisation. Geometric differentiation into linear structures as well as patches by considering a compactness factor (1. Linear structures of hedgerows/scrub and tree rows; 2. Patches of tree and hedgerows/scrub).\nMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\n\nThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\n\nGreen Linear Elements (GLE) are ecologically significant, structural landscape elements which act as important dispersion vectors of biodiversity. GLEs comprise hedgerows and lines of trees and offer a wide range of ecosystem services: they are linked to both landscape richness and fragmentation of habitats, with a direct potential for restoration, and contribute also to hazard protection. Green linear elements form part of the Green Infrastructure and are specifically addressed in the EU Biodiversity Strategy 2020. The GLE product provides reliable and detailed geospatial information on the occurrence and spatial distribution of: Small linear vegetation features such as hedgerows, scrub and tree rows with a minimum length of 100m and a width of up to 10m; Isolated patches of trees and scrub with a size between 500 m\u00b2 and 0.5 ha. Green linear elements including trees and hedgerows with 100m minimum length and 500 m\u00b2 Minimum Mapping Unit (MMU).\n\nThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "e61d0641-ef07-4224-a6ed-6d2d42a4ef23", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2738bb1f-6b50-47e9-aba9-50157cb7228f.png", "shortName": "Riparian_Zones", "fileSystemPath": null, "gemetConcepts": "bank (land)|filtration|freshwater ecosystem|land use|landscape alteration|riparian zone", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Riparian Zones Delineation (raster), Aug. 2015", "restApi": null, "label": 888, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e61d0641-ef07-4224-a6ed-6d2d42a4ef23", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_50_m_rzd_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "50m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The calculation is based on the stratification of different hydrological and geomorphological parameters. These parameters are derived from the input datasets and are weighted differently dependent on their significance and quality. The resulting membership degree of each input parameter is finally combined into a single membership degree expressing the likelihood of an area to be part of a potential riparian zone. Qualitative assessment: due to the absence of European-wide harmonized reference data on the location and characteristics of riparian zones in sufficient thematic detail, a qualitative expert assessment approach has been chosen for the riparian zones layer, making use of the unique expertise of the freelance expert consultants who are available to the project team and who are recognized among the most renowned European experts in this domain, being also the authors of the most relevant scientific publications in the recent years. The experts conducted an in-depth review of the riparian zones delineation modelling approach and the associated relevant algorithms and membership functions, which were checked and approved by them. The experts provided also support and advise on the correct model parameterization and final modelling of the riparian zones products, such that the final results are considered properly quality-assessed and validated by this scientific expert-assessment approach.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\n\nThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\n\nThe delineation of Riparian Zones is based on a complex spatial modelling approach, making use of the Riparian Zones\u2019 LC/LU classification, large-scale earth observation data and a range of additional geo-data sources, as well as derived spatially explicit indicators. Inputs are regionally parameterised and weighted according to relative importance in a fuzzy modelling approach. The zones provide a majority of riparian functions with a focus on ecosystem services.\n\nThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "56b5c27b-ffaa-45c7-9b39-085dcbe725e4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56b5c27b-ffaa-45c7-9b39-085dcbe725e4.png", "shortName": "Imperviousness_Change_100m_2012-2015", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree Change 2012-2015 (raster 100m), Apr. 2018", "restApi": null, "label": 889, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56b5c27b-ffaa-45c7-9b39-085dcbe725e4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imdc_2011-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "4023528f-430d-402b-be16-91b6a6487be6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4023528f-430d-402b-be16-91b6a6487be6.png", "shortName": "Imperviousness_Density_20m_2012", "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2012 (raster 20m), Apr. 2018", "restApi": null, "label": 890, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Land_cover", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4023528f-430d-402b-be16-91b6a6487be6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imd_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "4f773546-a667-487e-b3be-fed4f257352d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4f773546-a667-487e-b3be-fed4f257352d.png", "shortName": "NUTS2013", "fileSystemPath": null, "gemetConcepts": "statistical information system", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Nomenclature of Territorial Units for Statistics 2013 (NUTS), Dec. 2015", "restApi": null, "label": 891, "associatedResources": null, "sdiUseLimitation": "The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Administrative_boundaries", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4f773546-a667-487e-b3be-fed4f257352d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_100_k_gisco-nuts_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "This dataset is based on: EuroBoundaryMap (EBM) v8.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2008 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat), General Register Office for Scotland (GRO) (scale 1:100.000), Digital Chart of the World from ESRI for Kaliningrad, ArcWorld from ESRI for the Aral Sea, the Caspian Sea, some other borders. The different scale levels were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2013 of European Commission, Eurostat/GISCO, Countries 2013, European Commission - Eurostat/GISCO, Coastlines 2013, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2010, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS geometry supplied in EBM 8 have been rectified in Scotland for UKM63, UKM61 and UKM31.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2013. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 8.x (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013.\nThis metadata only refers to the full dataset at 100k and shall only be used internally by the EEA following the conditions stated in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2013.xml) is also available for download together with the dataset.\nThe public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts13.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EFTA4|EU28|Montenegro|North Macedonia|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "ec36e79b-615a-4484-a3a5-2714dc3951c5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Energy resources|Geographical names|Hydrography|Land cover|Land use|Mineral resources|Population distribution \u2014 demography|Production and industrial facilities|Protected sites|Soil|Transport networks|Utility and governmental services", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec36e79b-615a-4484-a3a5-2714dc3951c5.png", "shortName": "EuroRegionalMap_2019", "fileSystemPath": null, "gemetConcepts": "administrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|waterfall|waterway", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroRegionalMap 2019 (ERM 2019), Jan. 2019", "restApi": null, "label": 892, "associatedResources": null, "sdiUseLimitation": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Administrative_boundaries", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec36e79b-615a-4484-a3a5-2714dc3951c5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_250_k_erm-europe_i_2018_v12_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "For the lineage description of the full product, please see \"ERM_Eurostat_Lineage_ERM_2019.pdf\" provided with the dataset under the folder \"Metadata\" under \"Documents\" link. For detailed information on the national contribution, please consult the documents \"XX_Lineage_ERM_2019.pdf\" (where XX is the country acronym), under the subfolder \"Countries\" of the folder \"Metadata\".", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is, seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. \nThematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest.\nThis metadata refers to the version 2019 of ERM, with the general reference for the supply being December 2018. The dataset is provided both in GDB and SHP formats. Main changes with respect to versions ERM v11.0 and v11.1 are:\n- The administrative boundaries have been updated using EBM 2019 as data source. Some countries (Great Britain, Moldova and Romania) have slightly adapted them so to fit with the topographical features of ERM.\n- Update of transportation, settlement, vegetation themes. \n- Data from Ukraine as well as French Guiana (GF), Guadeloupe (GP), Martinique (MQ), Reunion (RE), Mayotte (YT), Saint Barth\u00e9lemy (BL) and Saint Martin (MF) as overseas departments/collectivities of France belonging to the European Union are included in ERM 2019.\nFor more information about the data product specifications please refer to the documents \"ERM_2019_DataSpecification_EuroStat.pdf\", \"ERM_2019_TechnicalGuide.pdf\" and \"ERM_Eurostat_Lineage_ERM_2019.pdf\" provided with the dataset under the link \"Documents\".\nIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the \"Resource Constraints\" elements of this metadata file and on the document \"LicenseConditions.pdf\" provided with this dataset under the link \"Documents\". This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under \"Documents\" link (\"ERM_Eurostat_Metadata_ERM_2019.xml\" within the \"Metadata\").", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Andorra|EFTA4|EU28|Faeroe Islands|Georgia|Isle of Man|Kosovo|Liechtenstein|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican", "publicationDate": "2019-06-04" }, { "sdiUuid": "5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d.png", "shortName": "CLC_accounting_2018", "fileSystemPath": null, "gemetConcepts": "accounting|land cover|land use", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019", "restApi": null, "label": 893, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "land_use", "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-2018-acc_p_2017-2018_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The Corine Land Cover (CLC) is a European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on (visual or semi-automated) interpretation of high-resolution multispectral satellite imagery by the national teams of the participating countries - the EEA member or cooperating countries. Besides the original and still dominating Computer Assisted Photo-Interpretation (CAPI) methodology, the number of countries applying more advanced (bottom-up) solutions is increasing.\n\nNational teams provided vector CLC datasets within the CLC1990, CLC2000 CLC2006, CLC2012 and CLC2018 projects. All features in the vector databases are classified into the standardized hierarchical 3-level CLC nomenclature, which includes 44 classes optimized for pan-European mapping. CLC status layers are characterized with 25 ha Minimum Mapping Unit (MMU) and 100m Minimum Mapping Width (MMW), while the applied MMU for CLC change layers is 5 ha. CLC change polygons are created directly, based on visual comparison and interpretation of satellite images from the two corresponding dates. Update of CLC status layers is done by adding CLC-Change layer to the previous CLC status layer. The resulting national land cover inventories are integrated into a seamless land cover map of Europe. As a next step, all seamless vector layers are rasterized to the 100m resolution grid with the CELL_CENTER method.\n\nThe creation of the CLC accounting layers: \n\nThe solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-Change layers for land cover accounting purposes fulfilling the relation: CLC-Change = Accounting CLC_ new status \u2013 Accounting CLC old status. As a consequence of this criteria, CLC changes for longer period (e.g. 2000-2018) may be derived from the differences of the corresponding CLC accounting status layers accordingly.\nThe CLC accounting methodology is characterized by two major steps:\nI. Add more detail to the latest CLC status layer (CLC2018) from previous CLCC information and use this modified layer (CLC2018 accounting layer) as a reference,\nII. Create previous CLC (accounting) status layers by \"backdating\" of the reference, realized by subtracting CLCC-based information from CLC2018 accounting layer.\n\nBased on the above principles, the working steps of the creation of CLC accounting layers are as follows:\n(1) Include formation information from the CLC-Change layers into the CLC2018 status layer, thereby creating the CLC2018 accounting layer, as follows:\n(1a) Overwrite CLC2018 with formation code from CLC-Change 2000-2006. Intermediate result: A1_CLC2018,\n(1b) Overwrite A1_CLC2018 with formation code from CLC-Change 2006-2012. Intermediate result: A2_CLC2018\n(1c) Overwrite A2_CLC2018 with formation code from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2018 (the present layer).\n(2) Create CLC2012 accounting layer by including consumption information into CLC2018ACC_V2018_20.tif from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2012.\n(3) Create CLC2006 accounting layer by including consumption information into CLC2012ACC_V2018_20.tif from CLC-Change 2006-2012. Result: Final accounting layer for the reference year 2006.\n(4) Create CLC2000 accounting layer by including consumption information into CLC2006ACC_V2018_20.tif from CLC-Change 2000-2006. Result: Final accounting layer for the reference year 2000.\n\nThe harmonization was carried out on the version V2018_20 of Corine Land Cover European database (RELEASE V2018_20; dated 06/2019).\n\nNotes \nThe simple solution applied for the combination of CLC and CLCC layers causes some known issues, such as: \n(1) Modified CLC layers lose statistical comparability with original CLC layers, because of increased geometry - smaller than 25ha MMU features will appear locally where changes appear. \n(2) \u201cFake features\u201d may appear in the backdated CLC status layers due to inconsistencies between CLC-Change datasets and due to omitted (not interpreted) changes\nIn the frame of ETC-ULS activity a raster generalization methodology was developed to eliminate fake features and attenuate effects of mixed MMU (https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/5.-copernicus-rfs16_006-sc-56586/7-task-7-clc-adjusted-layers-clc-cube-be-revised). This methodology has not been approved yet, so not applied to actual CLC accounting layers.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The present 100m raster dataset is the 2018 CLC status layer modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA.\n\nCORINE Land Cover (CLC) data are produced from 1986 for European (EEA member or cooperating) countries. Altogether five mapping inventories were implemented in this period, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018) and four CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018). Pan-European CLC and CLCC data are available as vector and raster products.\n\nDue to the technical characteristics of CLC and CLCC data, the evolution in CLC update methodology and in quality of input data, time-series statistics derived directly from historical CLC data includes several inconsistencies. In order to create a statistically solid basis for CLC-based time series analysis, a harmonization methodology was elaborated.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-07-23" }, { "sdiUuid": "15c1c88f-6a27-4094-8ea9-cb02d638e7a4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/15c1c88f-6a27-4094-8ea9-cb02d638e7a4.png", "shortName": "UWWTD_Discharge_Points", "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Discharge points, Nov. 2017", "restApi": null, "label": 894, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Water", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/15c1c88f-6a27-4094-8ea9-cb02d638e7a4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-disc-pts_p_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Discharge points data were reported by Member states in tabular format. Spatial position of individual discharge points was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Discharge points with obviously wrong coordinates were removed.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "UWWTD Discharge Points, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \nDataset UWWTD_DischargePoints contains information on individual points of discharge from urban waste water treatment plants or collecting systems, including their coordinates of discharge, link to specific treatment plant, type of receiving area into which the effluent / wastewater is discharged, related waterbody (or river basin), information on the discharge on land and potential reuse of the treated waste water.\nThe discharge points layer is not used in UWWTD maps, therefore it is not included in any existing map service for the time being. The dataset is available only in tabular format through the EEA website.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "83f8aa7a-0e3f-4f31-ad95-f9651626d74a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/83f8aa7a-0e3f-4f31-ad95-f9651626d74a.png", "shortName": "NUTS2016", "fileSystemPath": null, "gemetConcepts": "statistical information system", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Nomenclature of Territorial Units for Statistics 2016 (NUTS), Jan. 2018", "restApi": null, "label": 895, "associatedResources": null, "sdiUseLimitation": "The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Administrative_boundaries", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83f8aa7a-0e3f-4f31-ad95-f9651626d74a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_100_k_gisco-nuts_2016_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "Spatialite", "sdiElon": null, "lineage": "This dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels (1M, 3M, 10M, 20M, 60M, here not provided) were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level. In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2016.\nThis metadata only refers to the full NUTS2016 dataset (polygons) at 100k (NUTS_RG_100K_2016 in the GISCO database) and shall only be used internally by the EEA following the conditions stated in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2016.xml) is also available for download together with the dataset.\nThe public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EFTA4|EU28|Montenegro|North Macedonia|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "f0429813-1170-488f-8703-d56d18c0500f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f0429813-1170-488f-8703-d56d18c0500f.png", "shortName": "Article_12_birds", "fileSystemPath": null, "gemetConcepts": "EC directive|European Union|bird|breeding bird|migratory bird|nature conservation policy", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Status and trends of bird populations 2008-2012 for internal use, Nov. 2015", "restApi": null, "label": 896, "associatedResources": null, "sdiUseLimitation": "Data about sensitive species cannot be disseminated.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0429813-1170-488f-8703-d56d18c0500f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_status-trends-birds-internal_2008-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2008 to 2012. The data was supplied under the Article 12 (Birds Directive 2009/147/EC) reporting process.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Species as reported during the Article 12 of the Birds Directive (2009/147/EC) covering the period 2008 to 2012. The data covers the EU 27. \n\nThe dataset contains a support version of tabular data as reported by Member States, targeted for the assessment of bird population status at the European level for the 2008-2012 reporting period. This includes population sizes and trends (short and long term) for breeding and wintering populations, as well as pressures and threats for Special Protection Area trigger species. \n\nThis version includes species flagged as sensitive by Member States.\n\nInformation on the data quality of the 2008-2012 reporting round is available at http://bd.eionet.europa.eu/article12.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Species distribution", "publicationDate": "2019-06-04" }, { "sdiUuid": "4925d389-a76e-41a5-afcc-59c7f86ad04f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4925d389-a76e-41a5-afcc-59c7f86ad04f.png", "shortName": "Article_17_species", "fileSystemPath": null, "gemetConcepts": "EC directive|European Union|habitat|nature conservation|nature conservation policy|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of species 2007-2012 for internal use, Sep. 2014", "restApi": null, "label": 897, "associatedResources": null, "sdiUseLimitation": "Data about sensitive species cannot be disseminated.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4925d389-a76e-41a5-afcc-59c7f86ad04f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-species-internal_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nThis version includes species flagged as sensitive by Member States.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.\n\nThe data are available in the table ART17_SD of the database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes|Species distribution", "publicationDate": "2019-06-04" }, { "sdiUuid": "5d02129a-7ca5-46e7-9e10-96947b400a02", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d02129a-7ca5-46e7-9e10-96947b400a02.png", "shortName": "Article_17_habitats", "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of habitat types 2007-2012, Sep. 2014", "restApi": null, "label": 898, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": "Biodiversity", "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d02129a-7ca5-46e7-9e10-96947b400a02", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-hab_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.\n\nThe data are available in the table ART17_HD of the database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "8a10c132-d5c1-456f-a24c-be42d414e878", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover|Land use|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a10c132-d5c1-456f-a24c-be42d414e878.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "grassland|land cover|land use|nutrient|pressure", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Grassland intensification by CORINE Land Cover changes 2006-2012, Nov. 2016", "restApi": null, "label": 899, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a10c132-d5c1-456f-a24c-be42d414e878", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_grassland-intensification-lcf_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Land cover changes between the 2 most recent Corine Land Cover layers (2006, 2012) were used to identify the internal flows related to more intense use. The internal flows related to intensification are defined based on an expert consultation done in the context of the ETC/ULS. Those represent land cover changes that are linked to increase in resource and machinery use. The next LCF were selected:\n- LCF522: Diffuse conversion from semi-natural land to agriculture: Conversion from dry semi-natural land (except CLC324, grouped with forests) to pasture and mixed agriculture with pasture.\n- LCF463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns.\n\nAn intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a grassland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 (NUTS2 for Germany) level, leading to the percentage of LCF change per specific land cover type.\n\nhttps://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency/deliverables/", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of grassland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": "http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_LCF_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS", "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "4f3aabfa-2ca6-477e-95a2-3a7852f6f88c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9-1a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 900, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4f3aabfa-2ca6-477e-95a2-3a7852f6f88c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f9-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6598ccb9-97e9-49ef-b5b5-e2cc68e988a0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.4a distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 901, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6598ccb9-97e9-49ef-b5b5-e2cc68e988a0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-4a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "9a353441-c28f-4733-acd0-16dde88f04ae", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a353441-c28f-4733-acd0-16dde88f04ae.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "population|social aspects|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones Changes 1990-2000 (vector) - version 16, Jun. 2013", "restApi": null, "label": 902, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-changes-1990-2000-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a353441-c28f-4733-acd0-16dde88f04ae", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz-changes_1990-2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "UMZ Changes have been calculated as well, by unioning both UMZ90 and UMZ00 and looking for those polygons existing only in one year (i.e. 1990 or 2000). Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000). Only countries with CLC in both years have changes in UMZ\nSteps to follow:\n1. Create a file geodatabase to keep the geometries\n2. Union UMZ 1990 \u2013 2000. Output:UMZ90_00_Full\n3. Select ( \"FID_UMZ1990\" = -1 OR \"FID_UMZ2000\" = -1)\n4. Export the selection. Output:UMZ90_00_FULL_select.shp\n5. Selection of the real changes. Erasing\n a. Select the countries with NO CLC in both years (90-00 and 00-06) from a NUTS0 Layer (as accurate as possible)\uf0e0 selected_countries.shp\n b. Clip UMZ90_00_FULL_select.shp + selected_countries.shp \uf0e0 Output: Changes_90_00.shp\n c. Manually work to remove the changes belonging to the selected countries. Small feature classes are left in these countries due to not perfect overlay among layers (NUTS0 and CLC) mainly in the coastal areas\n6. Add and Calculate the Field \u201cArea_ha\u201d\n7. Add a new field name \u201cChange\u201d type = Text with length = 1 to Change_90_00.shp\n8. Delete unnecessary fields\n9. Select \u201cUMZ90_ID\u201d = 0 and Calculate Value for \u201cChange\u201d = + . This means Urban Sprawl\n10.Select \u201cUMZ00_ID\u201d = - 1 and Calculate Value for \u201cChange\u201d = - . This means Reduction of Urban Areas\n11.Select \u201cUMZ00_ID\u201d <> - 1 and \u201cUMZ90_ID\u201d <> 0 and Calculate Value for \u201cChange\u201d = 0. This means no changes of Urban Areas\n\nThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Changes between UMZs in 1990 and UMZs in 2000 using CLC version 16.\nMost changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey", "publicationDate": "2019-06-05" }, { "sdiUuid": "02e6f47d-231e-4c52-aecd-d683b53cf745", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02e6f47d-231e-4c52-aecd-d683b53cf745.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "population|social aspects|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones 2000 (vector) - version 16, Jun. 2013", "restApi": null, "label": 903, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2000-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02e6f47d-231e-4c52-aecd-d683b53cf745", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz_2000_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "An Urban Morphological Zone can be defined as \u201cA set of urban areas laying less than\n200m apart\u201d. Those urban areas are defined from land cover classes contributing to the urban tissue and function.\nThe Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones:\n\u2022 Core Classes\no 111 \u2013 Continuous urban fabric\no 112 \u2013 Discontinuous urban fabric\no 121 \u2013 Industrial or commercial units\no 141 \u2013 Green urban areas\n\u2022 Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes.\n\u2022 Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties.\n\u2022 Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact.\n\u2022 Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes.\n\nThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "An urban morphological zone (UMZ) is defined as a \"set of urban areas laying less than 200 m apart\". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EEA33|Montenegro|North Macedonia|San Marino|Serbia", "publicationDate": "2019-06-05" }, { "sdiUuid": "02603caf-6706-46d8-a943-7c91ea4bb57b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-7_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6-7 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 904, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02603caf-6706-46d8-a943-7c91ea4bb57b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f6-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "3e85edc3-fd15-41c4-b0be-5700571e7c2f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2-2b distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 905, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e85edc3-fd15-41c4-b0be-5700571e7c2f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f2-2b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "417765e1-90e1-4e17-87d3-de4f55985410", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4c_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7.4c, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 906, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/417765e1-90e1-4e17-87d3-de4f55985410", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f7-4c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 57\nRegularized training gain: 3.4576\nUnregularized training gain: 3.7394\nIterations: 500\nTraining AUC: 0.991\n#Test samples: 6\nTest gain: 2.5065\nTest AUC: 0.9575\nAUC Standard Deviation: 0.0254\n#Background points: 5057\nbio_12_etrs2_ras contribution: 15.5779\nbio_15_etrs2_ras contribution: 6.2742\nbio_18_etrs2_ras contribution: 8.5922\nbio_4_etrs2_ras contribution: 1.0485\nbio_8_etrs2_ras contribution: 23.2442\nbld_m_sd1_1km_eu_ll contribution: 2.1347\ncecsum_m_sd1_1km_eu_ll contribution: 0.3437\nclyppt_m_sd1_1km_eu_ll contribution: 0.6099\ncrfvol_m_sd1_1km_eu_ll contribution: 18.8631\ndist2water1km contribution: 0.3099\norcdrc_m_sd1_1km_eu_ll contribution: 0.0204\npet_he_yr contribution: 7.5398\nphihox_m_sd1_1km_eu_ll contribution: 7.4881\nsltppt_m_sd1_1km_eu_ll contribution: 0.0592\nsndppt_m_sd1_1km_eu_ll contribution: 0.2446\nsolar_1km contribution: 7.6495\nbio_12_etrs2_ras permutation importance: 2.1758\nbio_15_etrs2_ras permutation importance: 0\nbio_18_etrs2_ras permutation importance: 66.4663\nbio_4_etrs2_ras permutation importance: 13.2252\nbio_8_etrs2_ras permutation importance: 0.237\nbld_m_sd1_1km_eu_ll permutation importance: 10.0411\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.2801\nclyppt_m_sd1_1km_eu_ll permutation importance: 0\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0\ndist2water1km permutation importance: 0.1659\norcdrc_m_sd1_1km_eu_ll permutation importance: 0\npet_he_yr permutation importance: 0\nphihox_m_sd1_1km_eu_ll permutation importance: 5.054\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.3361\nsndppt_m_sd1_1km_eu_ll permutation importance: 1.7299\nsolar_1km permutation importance: 0.2887\nEntropy: 5.078\nPrevalence (average of logistic output over background sites): 0.0143\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0035\nFixed cumulative value 1 area: 0.1975\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 5.94E-05\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0253\nFixed cumulative value 5 area: 0.0722\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0.1667\nFixed cumulative value 5 binomial probability: 1.10E-05\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0709\nFixed cumulative value 10 area: 0.036\nFixed cumulative value 10 training omission: 0.0526\nFixed cumulative value 10 test omission: 0.3333\nFixed cumulative value 10 binomial probability: 2.37E-05\nMinimum training presence cumulative threshold: 6.2631\nMinimum training presence logistic threshold: 0.0343\nMinimum training presence area: 0.0589\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.3333\nMinimum training presence binomial probability: 1.64E-04\n10 percentile training presence cumulative threshold: 22.7522\n10 percentile training presence logistic threshold: 0.3409\n10 percentile training presence area: 0.0134\n10 percentile training presence training omission: 0.0877\n10 percentile training presence test omission: 0.3333\n10 percentile training presence binomial probability: 4.80E-07\nEqual training sensitivity and specificity cumulative threshold: 9.0807\nEqual training sensitivity and specificity logistic threshold: 0.0592\nEqual training sensitivity and specificity area: 0.0403\nEqual training sensitivity and specificity training omission: 0.0351\nEqual training sensitivity and specificity test omission: 0.3333\nEqual training sensitivity and specificity binomial probability: 3.72E-05\nMaximum training sensitivity plus specificity cumulative threshold: 6.2631\nMaximum training sensitivity plus specificity logistic threshold: 0.0343\nMaximum training sensitivity plus specificity area: 0.0589\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0.3333\nMaximum training sensitivity plus specificity binomial probability: 1.64E-04\nEqual test sensitivity and specificity cumulative threshold: 1.4239\nEqual test sensitivity and specificity logistic threshold: 0.0053\nEqual test sensitivity and specificity area: 0.1667\nEqual test sensitivity and specificity training omission: 0\nEqual test sensitivity and specificity test omission: 0.1667\nEqual test sensitivity and specificity binomial probability: 6.65E-04\nMaximum test sensitivity plus specificity cumulative threshold: 1.3132\nMaximum test sensitivity plus specificity logistic threshold: 0.0048\nMaximum test sensitivity plus specificity area: 0.1734\nMaximum test sensitivity plus specificity training omission: 0\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 2.72E-05\nBalance training omission, predicted area and threshold value cumulative threshold: 2.8771\nBalance training omission, predicted area and threshold value logistic threshold: 0.0125\nBalance training omission, predicted area and threshold value area: 0.1105\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0.1667\nBalance training omission, predicted area and threshold value binomial probability: 8.99E-05\nEquate entropy of thresholded and original distributions cumulative threshold: 11.2492\nEquate entropy of thresholded and original distributions logistic threshold: 0.0883\nEquate entropy of thresholded and original distributions area: 0.0316\nEquate entropy of thresholded and original distributions training omission: 0.0702\nEquate entropy of thresholded and original distributions test omission: 0.3333\nEquate entropy of thresholded and original distributions binomial probability: 1.43E-05", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in the Iberian Penissula should be ignored.\n \n Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "2e9f9435-b47a-4f2d-bb2f-c61b8c7f7b1f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-1_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.1 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 907, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e9f9435-b47a-4f2d-bb2f-c61b8c7f7b1f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g2-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "af31595f-13d7-4709-aa16-be540df5b555", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.9a distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 908, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af31595f-13d7-4709-aa16-be540df5b555", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-9a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "1642e81f-3442-49fc-bbbd-fe55669086c4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7.4a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 909, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1642e81f-3442-49fc-bbbd-fe55669086c4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f7-4a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 198\nRegularized training gain: 2.6988\nUnregularized training gain: 2.8457\nIterations: 500\nTraining AUC: 0.978\n#Test samples: 22\nTest gain: 2.6462\nTest AUC: 0.9749\nAUC Standard Deviation: 0.0045\n#Background points: 5198\nbio_12_etrs2_ras contribution: 0.0604\nbio_15_etrs2_ras contribution: 0.4649\nbio_18_etrs2_ras contribution: 1.9568\nbio_4_etrs2_ras contribution: 44.1131\nbio_8_etrs2_ras contribution: 0.1845\nbld_m_sd1_1km_eu_ll contribution: 4.8498\ncecsum_m_sd1_1km_eu_ll contribution: 0.0109\nclyppt_m_sd1_1km_eu_ll contribution: 1.069\ncrfvol_m_sd1_1km_eu_ll contribution: 11.4203\ndist2water1km contribution: 0.1268\norcdrc_m_sd1_1km_eu_ll contribution: 0.0364\npet_he_yr contribution: 4.481\nphihox_m_sd1_1km_eu_ll contribution: 0.4291\nsltppt_m_sd1_1km_eu_ll contribution: 0.17\nsndppt_m_sd1_1km_eu_ll contribution: 6.6428\nsolar_1km contribution: 23.9843\nbio_12_etrs2_ras permutation importance: 0.3837\nbio_15_etrs2_ras permutation importance: 2.1069\nbio_18_etrs2_ras permutation importance: 2.1893\nbio_4_etrs2_ras permutation importance: 49.2294\nbio_8_etrs2_ras permutation importance: 0.8161\nbld_m_sd1_1km_eu_ll permutation importance: 2.4472\ncecsum_m_sd1_1km_eu_ll permutation importance: 0\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.1121\ncrfvol_m_sd1_1km_eu_ll permutation importance: 21.7736\ndist2water1km permutation importance: 0.018\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.2431\npet_he_yr permutation importance: 3.8617\nphihox_m_sd1_1km_eu_ll permutation importance: 0.2125\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.0645\nsndppt_m_sd1_1km_eu_ll permutation importance: 12.861\nsolar_1km permutation importance: 2.6809\nEntropy: 5.8591\nPrevalence (average of logistic output over background sites): 0.0319\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0101\nFixed cumulative value 1 area: 0.1604\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 3.29E-18\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0804\nFixed cumulative value 5 area: 0.0702\nFixed cumulative value 5 training omission: 0.0051\nFixed cumulative value 5 test omission: 0.0455\nFixed cumulative value 5 binomial probability: 1.22E-23\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2421\nFixed cumulative value 10 area: 0.0506\nFixed cumulative value 10 training omission: 0.0404\nFixed cumulative value 10 test omission: 0.1364\nFixed cumulative value 10 binomial probability: 3.17E-22\nMinimum training presence cumulative threshold: 4.5647\nMinimum training presence logistic threshold: 0.0675\nMinimum training presence area: 0.0739\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0455\nMinimum training presence binomial probability: 3.54E-23\n10 percentile training presence cumulative threshold: 14.9112\n10 percentile training presence logistic threshold: 0.3598\n10 percentile training presence area: 0.0425\n10 percentile training presence training omission: 0.096\n10 percentile training presence test omission: 0.2273\n10 percentile training presence binomial probability: 1.04E-19\nEqual training sensitivity and specificity cumulative threshold: 11.0927\nEqual training sensitivity and specificity logistic threshold: 0.2639\nEqual training sensitivity and specificity area: 0.0485\nEqual training sensitivity and specificity training omission: 0.0505\nEqual training sensitivity and specificity test omission: 0.1364\nEqual training sensitivity and specificity binomial probability: 1.42E-22\nMaximum training sensitivity plus specificity cumulative threshold: 6.1491\nMaximum training sensitivity plus specificity logistic threshold: 0.1169\nMaximum training sensitivity plus specificity area: 0.0629\nMaximum training sensitivity plus specificity training omission: 0.0051\nMaximum training sensitivity plus specificity test omission: 0.0909\nMaximum training sensitivity plus specificity binomial probability: 1.92E-22\nEqual test sensitivity and specificity cumulative threshold: 6.0538\nEqual test sensitivity and specificity logistic threshold: 0.1149\nEqual test sensitivity and specificity area: 0.0635\nEqual test sensitivity and specificity training omission: 0.0051\nEqual test sensitivity and specificity test omission: 0.0455\nEqual test sensitivity and specificity binomial probability: 1.48E-24\nMaximum test sensitivity plus specificity cumulative threshold: 4.316\nMaximum test sensitivity plus specificity logistic threshold: 0.0632\nMaximum test sensitivity plus specificity area: 0.0762\nMaximum test sensitivity plus specificity training omission: 0\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 2.52E-25\nBalance training omission, predicted area and threshold value cumulative threshold: 2.3501\nBalance training omission, predicted area and threshold value logistic threshold: 0.0262\nBalance training omission, predicted area and threshold value area: 0.1077\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 5.15E-22\nEquate entropy of thresholded and original distributions cumulative threshold: 5.4059\nEquate entropy of thresholded and original distributions logistic threshold: 0.0902\nEquate entropy of thresholded and original distributions area: 0.0673\nEquate entropy of thresholded and original distributions training omission: 0.0051\nEquate entropy of thresholded and original distributions test omission: 0.0455\nEquate entropy of thresholded and original distributions binomial probability: 5.09E-24", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in Germany should be ignored.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6d55ca89-eb7b-4ac2-85cd-a89ec614b8ce", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-5_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.5, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 910, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6d55ca89-eb7b-4ac2-85cd-a89ec614b8ce", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 579\nRegularized training gain: 0.9656\nUnregularized training gain: 1.0986\nIterations: 500\nTraining AUC: 0.8759\n#Test samples: 64\nTest gain: 1.0492\nTest AUC: 0.855\nAUC Standard Deviation: 0.0253\n#Background points: 10234\nbio_12_etrs2_ras contribution: 2.9986\nbio_15_etrs2_ras contribution: 5.7861\nbio_18_etrs2_ras contribution: 11.3991\nbio_4_etrs2_ras contribution: 4.0095\nbio_8_etrs2_ras contribution: 1.4044\ndist2water1km contribution: 0.6122\npet_he_yr contribution: 48.1552\nsoil_ph contribution: 4.7057\nsolar_1km contribution: 20.9292\nbio_12_etrs2_ras permutation importance: 8.2742\nbio_15_etrs2_ras permutation importance: 4.8344\nbio_18_etrs2_ras permutation importance: 7.7293\nbio_4_etrs2_ras permutation importance: 8.2256\nbio_8_etrs2_ras permutation importance: 2.9707\ndist2water1km permutation importance: 0.6642\npet_he_yr permutation importance: 48.6548\nsoil_ph permutation importance: 4.8846\nsolar_1km permutation importance: 13.7621\nTraining gain without bio_12_etrs2_ras: 0.9507\nTraining gain without bio_15_etrs2_ras: 0.9557\nTraining gain without bio_18_etrs2_ras: 0.9528\nTraining gain without bio_4_etrs2_ras: 0.9495\nTraining gain without bio_8_etrs2_ras: 0.9526\nTraining gain without dist2water1km: 0.9602\nTraining gain without pet_he_yr: 0.8616\nTraining gain without soil_ph: 0.9288\nTraining gain without solar_1km: 0.9332\nTraining gain with only bio_12_etrs2_ras: 0.1415\nTraining gain with only bio_15_etrs2_ras: 0.2006\nTraining gain with only bio_18_etrs2_ras: 0.3148\nTraining gain with only bio_4_etrs2_ras: 0.245\nTraining gain with only bio_8_etrs2_ras: 0.1616\nTraining gain with only dist2water1km: 0.0125\nTraining gain with only pet_he_yr: 0.5099\nTraining gain with only soil_ph: 0.1791\nTraining gain with only solar_1km: 0.4046\nTest gain without bio_12_etrs2_ras: 1.0301\nTest gain without bio_15_etrs2_ras: 1.0312\nTest gain without bio_18_etrs2_ras: 1.0747\nTest gain without bio_4_etrs2_ras: 1.0379\nTest gain without bio_8_etrs2_ras: 1.042\nTest gain without dist2water1km: 1.0634\nTest gain without pet_he_yr: 0.9489\nTest gain without soil_ph: 1.0002\nTest gain without solar_1km: 0.991\nTest gain with only bio_12_etrs2_ras: 0.2311\nTest gain with only bio_15_etrs2_ras: 0.1864\nTest gain with only bio_18_etrs2_ras: 0.2508\nTest gain with only bio_4_etrs2_ras: 0.2853\nTest gain with only bio_8_etrs2_ras: 0.0853\nTest gain with only dist2water1km: -0.0179\nTest gain with only pet_he_yr: 0.5489\nTest gain with only soil_ph: 0.1955\nTest gain with only solar_1km: 0.5845\nAUC without bio_12_etrs2_ras: 0.854\nAUC without bio_15_etrs2_ras: 0.8543\nAUC without bio_18_etrs2_ras: 0.8603\nAUC without bio_4_etrs2_ras: 0.8536\nAUC without bio_8_etrs2_ras: 0.8541\nAUC without dist2water1km: 0.8571\nAUC without pet_he_yr: 0.8424\nAUC without soil_ph: 0.8493\nAUC without solar_1km: 0.8517\nAUC with only bio_12_etrs2_ras: 0.6892\nAUC with only bio_15_etrs2_ras: 0.6548\nAUC with only bio_18_etrs2_ras: 0.694\nAUC with only bio_4_etrs2_ras: 0.6999\nAUC with only bio_8_etrs2_ras: 0.629\nAUC with only dist2water1km: 0.5019\nAUC with only pet_he_yr: 0.788\nAUC with only soil_ph: 0.6598\nAUC with only solar_1km: 0.7956\nEntropy: 8.2719\nPrevalence (average of logistic output over background sites): 0.185\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0354\nFixed cumulative value 1 area: 0.7053\nFixed cumulative value 1 training omission: 0.0035\nFixed cumulative value 1 test omission: 0.0312\nFixed cumulative value 1 binomial probability: 1.89E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1035\nFixed cumulative value 5 area: 0.4894\nFixed cumulative value 5 training omission: 0.0259\nFixed cumulative value 5 test omission: 0.1094\nFixed cumulative value 5 binomial probability: 6.80E-11\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1678\nFixed cumulative value 10 area: 0.3644\nFixed cumulative value 10 training omission: 0.0794\nFixed cumulative value 10 test omission: 0.1406\nFixed cumulative value 10 binomial probability: 9.48E-17\nMinimum training presence cumulative threshold: 0.4185\nMinimum training presence logistic threshold: 0.021\nMinimum training presence area: 0.7834\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0156\nMinimum training presence binomial probability: 4.74E-05\n10 percentile training presence cumulative threshold: 12.3711\n10 percentile training presence logistic threshold: 0.1982\n10 percentile training presence area: 0.3239\n10 percentile training presence training omission: 0.0984\n10 percentile training presence test omission: 0.1406\n10 percentile training presence binomial probability: 2.75E-20\nEqual training sensitivity and specificity cumulative threshold: 24.6017\nEqual training sensitivity and specificity logistic threshold: 0.3503\nEqual training sensitivity and specificity area: 0.1937\nEqual training sensitivity and specificity training omission: 0.1934\nEqual training sensitivity and specificity test omission: 0.1875\nEqual training sensitivity and specificity binomial probability: 2.63E-36\nMaximum training sensitivity plus specificity cumulative threshold: 21.2849\nMaximum training sensitivity plus specificity logistic threshold: 0.3032\nMaximum training sensitivity plus specificity area: 0.22\nMaximum training sensitivity plus specificity training omission: 0.1623\nMaximum training sensitivity plus specificity test omission: 0.1875\nMaximum training sensitivity plus specificity binomial probability: 1.26E-30\nEqual test sensitivity and specificity cumulative threshold: 25.4949\nEqual test sensitivity and specificity logistic threshold: 0.3639\nEqual test sensitivity and specificity area: 0.1875\nEqual test sensitivity and specificity training omission: 0.2021\nEqual test sensitivity and specificity test omission: 0.1875\nEqual test sensitivity and specificity binomial probability: 7.24E-38\nMaximum test sensitivity plus specificity cumulative threshold: 25.9766\nMaximum test sensitivity plus specificity logistic threshold: 0.3695\nMaximum test sensitivity plus specificity area: 0.1843\nMaximum test sensitivity plus specificity training omission: 0.2073\nMaximum test sensitivity plus specificity test omission: 0.1875\nMaximum test sensitivity plus specificity binomial probability: 1.00E-38\nBalance training omission, predicted area and threshold value cumulative threshold: 2.6463\nBalance training omission, predicted area and threshold value logistic threshold: 0.0679\nBalance training omission, predicted area and threshold value area: 0.5864\nBalance training omission, predicted area and threshold value training omission: 0.0121\nBalance training omission, predicted area and threshold value test omission: 0.0625\nBalance training omission, predicted area and threshold value binomial probability: 5.86E-09\nEquate entropy of thresholded and original distributions cumulative threshold: 9.1017\nEquate entropy of thresholded and original distributions logistic threshold: 0.1562\nEquate entropy of thresholded and original distributions area: 0.3823\nEquate entropy of thresholded and original distributions training omission: 0.076\nEquate entropy of thresholded and original distributions test omission: 0.1406\nEquate entropy of thresholded and original distributions binomial probability: 2.00E-15", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "11cebd20-83ee-409d-ad08-496599ee12bd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.1a, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 911, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/11cebd20-83ee-409d-ad08-496599ee12bd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1796\nRegularized training gain: 1.4466\nUnregularized training gain: 1.4883\nIterations: 500\nTraining AUC: 0.9085\n#Test samples: 199\nTest gain: 1.4549\nTest AUC: 0.9115\nAUC Standard Deviation: 0.0052\n#Background points: 11794\nbio_12_etrs2_ras contribution: 0.2503\nbio_15_etrs2_ras contribution: 0.4403\nbio_18_etrs2_ras contribution: 69.6796\nbio_4_etrs2_ras contribution: 19.2195\nbio_8_etrs2_ras contribution: 0.0561\ndist2water1km contribution: 0.0463\npet_he_yr contribution: 10.1659\nsoil_ph contribution: 0.018\nsolar_1km contribution: 0.1241\nbio_12_etrs2_ras permutation importance: 1.7579\nbio_15_etrs2_ras permutation importance: 1.1536\nbio_18_etrs2_ras permutation importance: 40.7646\nbio_4_etrs2_ras permutation importance: 46.6492\nbio_8_etrs2_ras permutation importance: 0.0328\ndist2water1km permutation importance: 0.1823\npet_he_yr permutation importance: 9.234\nsoil_ph permutation importance: 0.0734\nsolar_1km permutation importance: 0.1521\nEntropy: 7.9287\nPrevalence (average of logistic output over background sites): 0.1149\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0455\nFixed cumulative value 1 area: 0.2918\nFixed cumulative value 1 training omission: 0.0072\nFixed cumulative value 1 test omission: 0.0101\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1907\nFixed cumulative value 5 area: 0.2138\nFixed cumulative value 5 training omission: 0.034\nFixed cumulative value 5 test omission: 0.0603\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3344\nFixed cumulative value 10 area: 0.1804\nFixed cumulative value 10 training omission: 0.083\nFixed cumulative value 10 test omission: 0.1256\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.1723\nMinimum training presence logistic threshold: 0.0025\nMinimum training presence area: 0.4197\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.30E-62\n10 percentile training presence cumulative threshold: 11.5723\n10 percentile training presence logistic threshold: 0.3702\n10 percentile training presence area: 0.1736\n10 percentile training presence training omission: 0.0997\n10 percentile training presence test omission: 0.1357\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 16.3739\nEqual training sensitivity and specificity logistic threshold: 0.4374\nEqual training sensitivity and specificity area: 0.1571\nEqual training sensitivity and specificity training omission: 0.157\nEqual training sensitivity and specificity test omission: 0.1809\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 6.2646\nMaximum training sensitivity plus specificity logistic threshold: 0.2362\nMaximum training sensitivity plus specificity area: 0.2027\nMaximum training sensitivity plus specificity training omission: 0.0379\nMaximum training sensitivity plus specificity test omission: 0.0653\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 13.6909\nEqual test sensitivity and specificity logistic threshold: 0.4041\nEqual test sensitivity and specificity area: 0.1658\nEqual test sensitivity and specificity training omission: 0.1264\nEqual test sensitivity and specificity test omission: 0.1658\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 2.8006\nMaximum test sensitivity plus specificity logistic threshold: 0.128\nMaximum test sensitivity plus specificity area: 0.2409\nMaximum test sensitivity plus specificity training omission: 0.015\nMaximum test sensitivity plus specificity test omission: 0.0101\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.4449\nBalance training omission, predicted area and threshold value logistic threshold: 0.0577\nBalance training omission, predicted area and threshold value area: 0.2722\nBalance training omission, predicted area and threshold value training omission: 0.0084\nBalance training omission, predicted area and threshold value test omission: 0.0101\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 3.1739\nEquate entropy of thresholded and original distributions logistic threshold: 0.1393\nEquate entropy of thresholded and original distributions area: 0.2353\nEquate entropy of thresholded and original distributions training omission: 0.0173\nEquate entropy of thresholded and original distributions test omission: 0.0352\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7ce9e3b5-478a-4c09-bda1-72f58ab9717c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-2_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6.2, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 912, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ce9e3b5-478a-4c09-bda1-72f58ab9717c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f6-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 51\nRegularized training gain: 3.5216\nUnregularized training gain: 3.7985\nIterations: 500\nTraining AUC: 0.9923\n#Test samples: 5\nTest gain: 3.6835\nTest AUC: 0.9916\nAUC Standard Deviation: 0.0022\n#Background points: 5051\nbio_12_etrs2_ras contribution: 39.9468\nbio_15_etrs2_ras contribution: 37.2821\nbio_18_etrs2_ras contribution: 2.5152\nbio_4_etrs2_ras contribution: 3.8421\nbio_8_etrs2_ras contribution: 0.0112\nbld_m_sd1_1km_eu_ll contribution: 0\ncecsum_m_sd1_1km_eu_ll contribution: 0.0256\nclyppt_m_sd1_1km_eu_ll contribution: 1.8396\ncrfvol_m_sd1_1km_eu_ll contribution: 0.0504\ndist2water1km contribution: 0.4519\norcdrc_m_sd1_1km_eu_ll contribution: 1.1781\npet_he_yr contribution: 0.633\nphihox_m_sd1_1km_eu_ll contribution: 11.4396\nsltppt_m_sd1_1km_eu_ll contribution: 0.0137\nsndppt_m_sd1_1km_eu_ll contribution: 0.7661\nsolar_1km contribution: 0.0046\nbio_12_etrs2_ras permutation importance: 13.9163\nbio_15_etrs2_ras permutation importance: 34.4248\nbio_18_etrs2_ras permutation importance: 4.4589\nbio_4_etrs2_ras permutation importance: 41.2525\nbio_8_etrs2_ras permutation importance: 0.2427\nbld_m_sd1_1km_eu_ll permutation importance: 0\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.3296\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.2608\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.0507\ndist2water1km permutation importance: 0.2825\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.5216\npet_he_yr permutation importance: 0.0326\nphihox_m_sd1_1km_eu_ll permutation importance: 3.2744\nsltppt_m_sd1_1km_eu_ll permutation importance: 0\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.8947\nsolar_1km permutation importance: 0.058\nEntropy: 5.0038\nPrevalence (average of logistic output over background sites): 0.0137\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0039\nFixed cumulative value 1 area: 0.1192\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.40E-05\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0506\nFixed cumulative value 5 area: 0.0453\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.92E-07\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1175\nFixed cumulative value 10 area: 0.0279\nFixed cumulative value 10 training omission: 0.0196\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 1.69E-08\nMinimum training presence cumulative threshold: 6.2126\nMinimum training presence logistic threshold: 0.0662\nMinimum training presence area: 0.0396\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 9.73E-08\n10 percentile training presence cumulative threshold: 20.592\n10 percentile training presence logistic threshold: 0.329\n10 percentile training presence area: 0.015\n10 percentile training presence training omission: 0.098\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 7.71E-10\nEqual training sensitivity and specificity cumulative threshold: 11.3536\nEqual training sensitivity and specificity logistic threshold: 0.1416\nEqual training sensitivity and specificity area: 0.0253\nEqual training sensitivity and specificity training omission: 0.0196\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 1.04E-08\nMaximum training sensitivity plus specificity cumulative threshold: 6.2126\nMaximum training sensitivity plus specificity logistic threshold: 0.0662\nMaximum training sensitivity plus specificity area: 0.0396\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 9.73E-08\nEqual test sensitivity and specificity cumulative threshold: 21.759\nEqual test sensitivity and specificity logistic threshold: 0.3421\nEqual test sensitivity and specificity area: 0.0143\nEqual test sensitivity and specificity training omission: 0.1176\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 5.88E-10\nMaximum test sensitivity plus specificity cumulative threshold: 21.759\nMaximum test sensitivity plus specificity logistic threshold: 0.3421\nMaximum test sensitivity plus specificity area: 0.0143\nMaximum test sensitivity plus specificity training omission: 0.1176\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 5.88E-10\nBalance training omission, predicted area and threshold value cumulative threshold: 1.9411\nBalance training omission, predicted area and threshold value logistic threshold: 0.0115\nBalance training omission, predicted area and threshold value area: 0.0772\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.74E-06\nEquate entropy of thresholded and original distributions cumulative threshold: 9.4317\nEquate entropy of thresholded and original distributions logistic threshold: 0.112\nEquate entropy of thresholded and original distributions area: 0.0293\nEquate entropy of thresholded and original distributions training omission: 0.0196\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 2.16E-08", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in the Iberian Penissula should be ignored.\n \n Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "eefad509-24f2-415c-9eee-ea21c71db0ee", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-5_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5.5, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 913, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eefad509-24f2-415c-9eee-ea21c71db0ee", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f5-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 89\nRegularized training gain: 3.1942\nUnregularized training gain: 3.3928\nIterations: 500\nTraining AUC: 0.9874\n#Test samples: 9\nTest gain: 3.049\nTest AUC: 0.9814\nAUC Standard Deviation: 0.0083\n#Background points: 5089\nbio_12_etrs2_ras contribution: 0.0773\nbio_15_etrs2_ras contribution: 11.8497\nbio_18_etrs2_ras contribution: 28.1046\nbio_4_etrs2_ras contribution: 38.2369\nbio_8_etrs2_ras contribution: 7.9066\nbld_m_sd1_1km_eu_ll contribution: 0.3056\ncecsum_m_sd1_1km_eu_ll contribution: 0\nclyppt_m_sd1_1km_eu_ll contribution: 3.5663\ncrfvol_m_sd1_1km_eu_ll contribution: 0.7313\ndist2water1km contribution: 0.0443\norcdrc_m_sd1_1km_eu_ll contribution: 0.3801\npet_he_yr contribution: 2.799\nphihox_m_sd1_1km_eu_ll contribution: 2.0164\nsltppt_m_sd1_1km_eu_ll contribution: 2.5521\nsndppt_m_sd1_1km_eu_ll contribution: 0.7747\nsolar_1km contribution: 0.655\nbio_12_etrs2_ras permutation importance: 0.2875\nbio_15_etrs2_ras permutation importance: 8.3641\nbio_18_etrs2_ras permutation importance: 3.151\nbio_4_etrs2_ras permutation importance: 69.2011\nbio_8_etrs2_ras permutation importance: 4.3301\nbld_m_sd1_1km_eu_ll permutation importance: 0.5779\ncecsum_m_sd1_1km_eu_ll permutation importance: 0\nclyppt_m_sd1_1km_eu_ll permutation importance: 3.0755\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.1684\ndist2water1km permutation importance: 0.0726\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.8829\npet_he_yr permutation importance: 0.5866\nphihox_m_sd1_1km_eu_ll permutation importance: 5.4686\nsltppt_m_sd1_1km_eu_ll permutation importance: 1.9371\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.6563\nsolar_1km permutation importance: 1.2401\nEntropy: 5.3461\nPrevalence (average of logistic output over background sites): 0.019\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0028\nFixed cumulative value 1 area: 0.2154\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 9.97E-07\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0408\nFixed cumulative value 5 area: 0.058\nFixed cumulative value 5 training omission: 0.0337\nFixed cumulative value 5 test omission: 0.1111\nFixed cumulative value 5 binomial probability: 1.09E-09\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1482\nFixed cumulative value 10 area: 0.0336\nFixed cumulative value 10 training omission: 0.0562\nFixed cumulative value 10 test omission: 0.1111\nFixed cumulative value 10 binomial probability: 1.42E-11\nMinimum training presence cumulative threshold: 2.3692\nMinimum training presence logistic threshold: 0.0103\nMinimum training presence area: 0.1089\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.15E-09\n10 percentile training presence cumulative threshold: 19.7599\n10 percentile training presence logistic threshold: 0.3669\n10 percentile training presence area: 0.0212\n10 percentile training presence training omission: 0.0899\n10 percentile training presence test omission: 0.1111\n10 percentile training presence binomial probability: 3.63E-13\nEqual training sensitivity and specificity cumulative threshold: 8.207\nEqual training sensitivity and specificity logistic threshold: 0.1058\nEqual training sensitivity and specificity area: 0.0389\nEqual training sensitivity and specificity training omission: 0.0337\nEqual training sensitivity and specificity test omission: 0.1111\nEqual training sensitivity and specificity binomial probability: 4.56E-11\nMaximum training sensitivity plus specificity cumulative threshold: 8.207\nMaximum training sensitivity plus specificity logistic threshold: 0.1058\nMaximum training sensitivity plus specificity area: 0.0389\nMaximum training sensitivity plus specificity training omission: 0.0337\nMaximum training sensitivity plus specificity test omission: 0.1111\nMaximum training sensitivity plus specificity binomial probability: 4.56E-11\nEqual test sensitivity and specificity cumulative threshold: 3.1088\nEqual test sensitivity and specificity logistic threshold: 0.0176\nEqual test sensitivity and specificity area: 0.0869\nEqual test sensitivity and specificity training omission: 0.0225\nEqual test sensitivity and specificity test omission: 0.1111\nEqual test sensitivity and specificity binomial probability: 2.69E-08\nMaximum test sensitivity plus specificity cumulative threshold: 3.1066\nMaximum test sensitivity plus specificity logistic threshold: 0.0176\nMaximum test sensitivity plus specificity area: 0.0869\nMaximum test sensitivity plus specificity training omission: 0.0225\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 2.81E-10\nBalance training omission, predicted area and threshold value cumulative threshold: 2.3692\nBalance training omission, predicted area and threshold value logistic threshold: 0.0103\nBalance training omission, predicted area and threshold value area: 0.1089\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.15E-09\nEquate entropy of thresholded and original distributions cumulative threshold: 7.6554\nEquate entropy of thresholded and original distributions logistic threshold: 0.0877\nEquate entropy of thresholded and original distributions area: 0.0411\nEquate entropy of thresholded and original distributions training omission: 0.0337\nEquate entropy of thresholded and original distributions test omission: 0.1111\nEquate entropy of thresholded and original distributions binomial probability: 7.02E-11", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "8c47469a-c19c-4099-90c4-c418dbbfc90f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-5_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.5 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 914, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c47469a-c19c-4099-90c4-c418dbbfc90f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "f1a254a9-574c-4ee8-b4f2-944508143575", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Land use", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1a254a9-574c-4ee8-b4f2-944508143575.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "agricultural land|bird|butterfly|farming technique|grazing|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High nature value (HNV) farmland - version 1.0, Sept. 2015", "restApi": null, "label": 915, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/high-nature-value-farmland", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1a254a9-574c-4ee8-b4f2-944508143575", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_hnv-farmland_2006-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTIFF", "sdiElon": null, "lineage": "The basic mapping steps are:\n1) selection of relevant CORINE land cover classes in the different environmental zones in Europe per country\n2) refinement of the draft land cover map on the basis of additional expert rules (e.g. relating to altitude, soil quality) and country specific information\n3) addition of the biodiversity data layers with European coverage\n4) addition of national biodiversity data sets\n5) Up-scaling to 100*100 km2 INSPIRE grid\n\nFor a detailed methodology, please consult the report.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2011, "abstract": "The concept of HNV farmland ties together biodiversity to the continuation of farming on certain types of land and the maintenance of specific farming systems. The general goal of the data set is to enhance the European map of HNV farmland that shows the estimated distribution and presence likelihood of HNV farmland across the whole European territory.\n\nThe objective of the HNV farmland map produced by EEA is to estimate the presence likelihood of HNV farmland within Europe using existing Europe-wide datasets. The EEA points out that the existing datasets may have drawbacks for HNV farmland identification and recommends therefore that the map be used as a proxy for the distribution of HNV farmland at European level appropriate for assessment purposes only.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-28" }, { "sdiUuid": "201bab8e-e0bf-4137-bd7b-82999af0f9c4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-3_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2.3, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 916, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/201bab8e-e0bf-4137-bd7b-82999af0f9c4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f2-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 310\nRegularized training gain: 1.3861\nUnregularized training gain: 1.6717\nIterations: 500\nTraining AUC: 0.9336\n#Test samples: 34\nTest gain: 1.5736\nTest AUC: 0.9223\nAUC Standard Deviation: 0.0127\n#Background points: 5171\nbio_12_etrs2_ras contribution: 16.9077\nbio_15_etrs2_ras contribution: 4.0239\nbio_18_etrs2_ras contribution: 24.867\nbio_4_etrs2_ras contribution: 13.9288\nbio_8_etrs2_ras contribution: 2.2471\nbld_m_sd1_1km_eu_ll contribution: 0.6196\ncecsum_m_sd1_1km_eu_ll contribution: 3.7884\nclyppt_m_sd1_1km_eu_ll contribution: 0.4739\ncrfvol_m_sd1_1km_eu_ll contribution: 1.1602\ndist2water1km contribution: 0.6474\norcdrc_m_sd1_1km_eu_ll contribution: 19.1663\npet_he_yr contribution: 8.9444\nsltppt_m_sd1_1km_eu_ll contribution: 1.591\nsndppt_m_sd1_1km_eu_ll contribution: 0.5388\nsolar_1km contribution: 1.0955\nbio_12_etrs2_ras permutation importance: 17.4469\nbio_15_etrs2_ras permutation importance: 5.4636\nbio_18_etrs2_ras permutation importance: 7.9392\nbio_4_etrs2_ras permutation importance: 17.8973\nbio_8_etrs2_ras permutation importance: 4.2565\nbld_m_sd1_1km_eu_ll permutation importance: 0.6678\ncecsum_m_sd1_1km_eu_ll permutation importance: 3.681\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.8863\ncrfvol_m_sd1_1km_eu_ll permutation importance: 1.8538\ndist2water1km permutation importance: 0.6989\norcdrc_m_sd1_1km_eu_ll permutation importance: 11.4509\npet_he_yr permutation importance: 19.2714\nsltppt_m_sd1_1km_eu_ll permutation importance: 4.0789\nsndppt_m_sd1_1km_eu_ll permutation importance: 2.743\nsolar_1km permutation importance: 0.6645\nTraining gain without bio_12_etrs2_ras: 1.3432\nTraining gain without bio_15_etrs2_ras: 1.3516\nTraining gain without bio_18_etrs2_ras: 1.3637\nTraining gain without bio_4_etrs2_ras: 1.3257\nTraining gain without bio_8_etrs2_ras: 1.3673\nTraining gain without bld_m_sd1_1km_eu_ll: 1.3783\nTraining gain without cecsum_m_sd1_1km_eu_ll: 1.3827\nTraining gain without clyppt_m_sd1_1km_eu_ll: 1.3779\nTraining gain without crfvol_m_sd1_1km_eu_ll: 1.3775\nTraining gain without dist2water1km: 1.3824\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.3633\nTraining gain without pet_he_yr: 1.332\nTraining gain without sltppt_m_sd1_1km_eu_ll: 1.3829\nTraining gain without sndppt_m_sd1_1km_eu_ll: 1.3827\nTraining gain without solar_1km: 1.3726\nTraining gain with only bio_12_etrs2_ras: 0.6005\nTraining gain with only bio_15_etrs2_ras: 0.2783\nTraining gain with only bio_18_etrs2_ras: 0.7631\nTraining gain with only bio_4_etrs2_ras: 0.3674\nTraining gain with only bio_8_etrs2_ras: 0.2441\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.5341\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.6645\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.1743\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.5479\nTraining gain with only dist2water1km: 0.1112\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.6554\nTraining gain with only pet_he_yr: 0.493\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.247\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.33\nTraining gain with only solar_1km: 0.5463\nTest gain without bio_12_etrs2_ras: 1.521\nTest gain without bio_15_etrs2_ras: 1.439\nTest gain without bio_18_etrs2_ras: 1.5765\nTest gain without bio_4_etrs2_ras: 1.5296\nTest gain without bio_8_etrs2_ras: 1.5315\nTest gain without bld_m_sd1_1km_eu_ll: 1.5612\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.5522\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.5853\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.567\nTest gain without dist2water1km: 1.6299\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.5764\nTest gain without pet_he_yr: 1.4934\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.58\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.5659\nTest gain without solar_1km: 1.5562\nTest gain with only bio_12_etrs2_ras: 0.8891\nTest gain with only bio_15_etrs2_ras: 0.5651\nTest gain with only bio_18_etrs2_ras: 1.1259\nTest gain with only bio_4_etrs2_ras: 0.4029\nTest gain with only bio_8_etrs2_ras: 0.3841\nTest gain with only bld_m_sd1_1km_eu_ll: 0.7037\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.742\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.3473\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.7262\nTest gain with only dist2water1km: 0.0383\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.6827\nTest gain with only pet_he_yr: 0.6822\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3292\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.4808\nTest gain with only solar_1km: 0.6589\nAUC without bio_12_etrs2_ras: 0.9173\nAUC without bio_15_etrs2_ras: 0.9109\nAUC without bio_18_etrs2_ras: 0.9223\nAUC without bio_4_etrs2_ras: 0.9206\nAUC without bio_8_etrs2_ras: 0.9194\nAUC without bld_m_sd1_1km_eu_ll: 0.9225\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9212\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9226\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9216\nAUC without dist2water1km: 0.9284\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9226\nAUC without pet_he_yr: 0.9149\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9227\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9209\nAUC without solar_1km: 0.9198\nAUC with only bio_12_etrs2_ras: 0.8437\nAUC with only bio_15_etrs2_ras: 0.776\nAUC with only bio_18_etrs2_ras: 0.8738\nAUC with only bio_4_etrs2_ras: 0.7405\nAUC with only bio_8_etrs2_ras: 0.6806\nAUC with only bld_m_sd1_1km_eu_ll: 0.8152\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.8273\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.754\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.823\nAUC with only dist2water1km: 0.6304\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7952\nAUC with only pet_he_yr: 0.8027\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.6815\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.7782\nAUC with only solar_1km: 0.8154\nEntropy: 7.1847\nPrevalence (average of logistic output over background sites): 0.1241\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0195\nFixed cumulative value 1 area: 0.4531\nFixed cumulative value 1 training omission: 0.0032\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 7.47E-11\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1334\nFixed cumulative value 5 area: 0.2839\nFixed cumulative value 5 training omission: 0.0258\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.01E-20\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2251\nFixed cumulative value 10 area: 0.2259\nFixed cumulative value 10 training omission: 0.0516\nFixed cumulative value 10 test omission: 0.0588\nFixed cumulative value 10 binomial probability: 9.86E-24\nMinimum training presence cumulative threshold: 0.2492\nMinimum training presence logistic threshold: 0.0047\nMinimum training presence area: 0.6453\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 7.71E-06\n10 percentile training presence cumulative threshold: 18.007\n10 percentile training presence logistic threshold: 0.3192\n10 percentile training presence area: 0.1711\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1471\n10 percentile training presence binomial probability: 2.40E-26\nEqual training sensitivity and specificity cumulative threshold: 23.5\nEqual training sensitivity and specificity logistic threshold: 0.3752\nEqual training sensitivity and specificity area: 0.145\nEqual training sensitivity and specificity training omission: 0.1452\nEqual training sensitivity and specificity test omission: 0.2353\nEqual training sensitivity and specificity binomial probability: 5.29E-25\nMaximum training sensitivity plus specificity cumulative threshold: 14.7775\nMaximum training sensitivity plus specificity logistic threshold: 0.2827\nMaximum training sensitivity plus specificity area: 0.1903\nMaximum training sensitivity plus specificity training omission: 0.0613\nMaximum training sensitivity plus specificity test omission: 0.0882\nMaximum training sensitivity plus specificity binomial probability: 4.22E-27\nEqual test sensitivity and specificity cumulative threshold: 19.3368\nEqual test sensitivity and specificity logistic threshold: 0.3372\nEqual test sensitivity and specificity area: 0.1642\nEqual test sensitivity and specificity training omission: 0.1097\nEqual test sensitivity and specificity test omission: 0.1765\nEqual test sensitivity and specificity binomial probability: 1.55E-25\nMaximum test sensitivity plus specificity cumulative threshold: 7.0838\nMaximum test sensitivity plus specificity logistic threshold: 0.1815\nMaximum test sensitivity plus specificity area: 0.2551\nMaximum test sensitivity plus specificity training omission: 0.0323\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.09E-23\nBalance training omission, predicted area and threshold value cumulative threshold: 2.4436\nBalance training omission, predicted area and threshold value logistic threshold: 0.0593\nBalance training omission, predicted area and threshold value area: 0.3506\nBalance training omission, predicted area and threshold value training omission: 0.0032\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 1.05E-15\nEquate entropy of thresholded and original distributions cumulative threshold: 7.0838\nEquate entropy of thresholded and original distributions logistic threshold: 0.1815\nEquate entropy of thresholded and original distributions area: 0.2551\nEquate entropy of thresholded and original distributions training omission: 0.0323\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 1.09E-23", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in Germany should be ignored.\n \n Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "151dafca-3e52-4744-a1fa-bdb98884b253", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1e_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1e distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 917, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/151dafca-3e52-4744-a1fa-bdb98884b253", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1e_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6dfd6369-24a1-494a-854f-29408270c54b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-6a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1.6a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 918, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6dfd6369-24a1-494a-854f-29408270c54b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b1-6a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 54\nRegularized training gain: 3.9324\nUnregularized training gain: 4.1946\nIterations: 500\nTraining AUC: 0.9944\n#Test samples: 6\nTest gain: 4.7107\nTest AUC: 0.9974\nAUC Standard Deviation: 0.0013\n#Background points: 5054\nbio_12_etrs2_ras contribution: 0\nbio_15_etrs2_ras contribution: 4.9242\nbio_18_etrs2_ras contribution: 0.2755\nbio_4_etrs2_ras contribution: 41.7572\nbio_8_etrs2_ras contribution: 0.3381\nbld_m_sd1_1km_eu_ll contribution: 2.5775\ncecsum_m_sd1_1km_eu_ll contribution: 0.7106\nclyppt_m_sd1_1km_eu_ll contribution: 0.4876\ncrfvol_m_sd1_1km_eu_ll contribution: 7.6674\ndist2water1km contribution: 5.2114\norcdrc_m_sd1_1km_eu_ll contribution: 0.0983\npet_he_yr contribution: 9.389\nphihox_m_sd1_1km_eu_ll contribution: 2.0785\nsltppt_m_sd1_1km_eu_ll contribution: 23.9492\nsndppt_m_sd1_1km_eu_ll contribution: 0.5353\nsolar_1km contribution: 0\nbio_12_etrs2_ras permutation importance: 0\nbio_15_etrs2_ras permutation importance: 0.774\nbio_18_etrs2_ras permutation importance: 0.0314\nbio_4_etrs2_ras permutation importance: 83.0457\nbio_8_etrs2_ras permutation importance: 0.2541\nbld_m_sd1_1km_eu_ll permutation importance: 0.9691\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.0498\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.0904\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.3654\ndist2water1km permutation importance: 0.0681\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.1283\npet_he_yr permutation importance: 11.412\nphihox_m_sd1_1km_eu_ll permutation importance: 0.4309\nsltppt_m_sd1_1km_eu_ll permutation importance: 2.3351\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.0458\nsolar_1km permutation importance: 0\nEntropy: 4.6004\nPrevalence (average of logistic output over background sites): 0.0091\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0067\nFixed cumulative value 1 area: 0.0637\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 6.69E-08\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0473\nFixed cumulative value 5 area: 0.0269\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 3.80E-10\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1371\nFixed cumulative value 10 area: 0.016\nFixed cumulative value 10 training omission: 0.0185\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 1.70E-11\nMinimum training presence cumulative threshold: 9.5384\nMinimum training presence logistic threshold: 0.1231\nMinimum training presence area: 0.0166\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.11E-11\n10 percentile training presence cumulative threshold: 19.3742\n10 percentile training presence logistic threshold: 0.3979\n10 percentile training presence area: 0.0101\n10 percentile training presence training omission: 0.0926\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 1.06E-12\nEqual training sensitivity and specificity cumulative threshold: 9.6841\nEqual training sensitivity and specificity logistic threshold: 0.1266\nEqual training sensitivity and specificity area: 0.0166\nEqual training sensitivity and specificity training omission: 0.0185\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 2.11E-11\nMaximum training sensitivity plus specificity cumulative threshold: 9.5384\nMaximum training sensitivity plus specificity logistic threshold: 0.1231\nMaximum training sensitivity plus specificity area: 0.0166\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 2.11E-11\nEqual test sensitivity and specificity cumulative threshold: 25.3253\nEqual test sensitivity and specificity logistic threshold: 0.4905\nEqual test sensitivity and specificity area: 0.0085\nEqual test sensitivity and specificity training omission: 0.2222\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 3.79E-13\nMaximum test sensitivity plus specificity cumulative threshold: 25.3253\nMaximum test sensitivity plus specificity logistic threshold: 0.4905\nMaximum test sensitivity plus specificity area: 0.0085\nMaximum test sensitivity plus specificity training omission: 0.2222\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 3.79E-13\nBalance training omission, predicted area and threshold value cumulative threshold: 1.0885\nBalance training omission, predicted area and threshold value logistic threshold: 0.0077\nBalance training omission, predicted area and threshold value area: 0.0613\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 5.32E-08\nEquate entropy of thresholded and original distributions cumulative threshold: 7.8138\nEquate entropy of thresholded and original distributions logistic threshold: 0.0986\nEquate entropy of thresholded and original distributions area: 0.0196\nEquate entropy of thresholded and original distributions training omission: 0\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 5.65E-11", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\n\t\t\tRemarks: Inland prediction should be ignored. Hardly any prediction in the along the French coast.\n \n Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "0c3681a0-d5d9-4d88-bb85-b7a04dee6bb5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1c_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1c distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 919, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c3681a0-d5d9-4d88-bb85-b7a04dee6bb5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7e7da33a-4c1a-4686-94ed-dd4a9d3f79e8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-7_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.7, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 920, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e7da33a-4c1a-4686-94ed-dd4a9d3f79e8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 374\nRegularized training gain: 2.0486\nUnregularized training gain: 2.2355\nIterations: 500\nTraining AUC: 0.9617\n#Test samples: 41\nTest gain: 2.1333\nTest AUC: 0.957\nAUC Standard Deviation: 0.0066\n#Background points: 10374\nbio_12_etrs2_ras contribution: 3.8205\nbio_15_etrs2_ras contribution: 4.7735\nbio_18_etrs2_ras contribution: 5.8938\nbio_4_etrs2_ras contribution: 50.976\nbio_8_etrs2_ras contribution: 12.802\ndist2water1km contribution: 2.7684\npet_he_yr contribution: 17.4106\nsoil_ph contribution: 0.5871\nsolar_1km contribution: 0.9681\nbio_12_etrs2_ras permutation importance: 6.0613\nbio_15_etrs2_ras permutation importance: 3.3478\nbio_18_etrs2_ras permutation importance: 8.3798\nbio_4_etrs2_ras permutation importance: 44.8591\nbio_8_etrs2_ras permutation importance: 13.9173\ndist2water1km permutation importance: 1.5117\npet_he_yr permutation importance: 20.088\nsoil_ph permutation importance: 1.1104\nsolar_1km permutation importance: 0.7248\nEntropy: 7.2124\nPrevalence (average of logistic output over background sites): 0.0631\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0163\nFixed cumulative value 1 area: 0.2637\nFixed cumulative value 1 training omission: 0.0027\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 5.17E-27\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1133\nFixed cumulative value 5 area: 0.1537\nFixed cumulative value 5 training omission: 0.0214\nFixed cumulative value 5 test omission: 0.0244\nFixed cumulative value 5 binomial probability: 1.52E-48\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1922\nFixed cumulative value 10 area: 0.1177\nFixed cumulative value 10 training omission: 0.0615\nFixed cumulative value 10 test omission: 0.122\nFixed cumulative value 10 binomial probability: 7.15E-52\nMinimum training presence cumulative threshold: 0.7062\nMinimum training presence logistic threshold: 0.0116\nMinimum training presence area: 0.2909\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 7.88E-24\n10 percentile training presence cumulative threshold: 16.334\n10 percentile training presence logistic threshold: 0.2834\n10 percentile training presence area: 0.0907\n10 percentile training presence training omission: 0.0989\n10 percentile training presence test omission: 0.1463\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 15.5115\nEqual training sensitivity and specificity logistic threshold: 0.2726\nEqual training sensitivity and specificity area: 0.0936\nEqual training sensitivity and specificity training omission: 0.0936\nEqual training sensitivity and specificity test omission: 0.122\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 6.4594\nMaximum training sensitivity plus specificity logistic threshold: 0.141\nMaximum training sensitivity plus specificity area: 0.1404\nMaximum training sensitivity plus specificity training omission: 0.0214\nMaximum training sensitivity plus specificity test omission: 0.0488\nMaximum training sensitivity plus specificity binomial probability: 8.83E-51\nEqual test sensitivity and specificity cumulative threshold: 9.9992\nEqual test sensitivity and specificity logistic threshold: 0.1913\nEqual test sensitivity and specificity area: 0.1178\nEqual test sensitivity and specificity training omission: 0.0615\nEqual test sensitivity and specificity test omission: 0.122\nEqual test sensitivity and specificity binomial probability: 7.98E-52\nMaximum test sensitivity plus specificity cumulative threshold: 6.2524\nMaximum test sensitivity plus specificity logistic threshold: 0.137\nMaximum test sensitivity plus specificity area: 0.1421\nMaximum test sensitivity plus specificity training omission: 0.0214\nMaximum test sensitivity plus specificity test omission: 0.0244\nMaximum test sensitivity plus specificity binomial probability: 4.69E-53\nBalance training omission, predicted area and threshold value cumulative threshold: 2.0756\nBalance training omission, predicted area and threshold value logistic threshold: 0.0375\nBalance training omission, predicted area and threshold value area: 0.2073\nBalance training omission, predicted area and threshold value training omission: 0.0027\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.92E-36\nEquate entropy of thresholded and original distributions cumulative threshold: 7.8306\nEquate entropy of thresholded and original distributions logistic threshold: 0.1671\nEquate entropy of thresholded and original distributions area: 0.1307\nEquate entropy of thresholded and original distributions training omission: 0.0374\nEquate entropy of thresholded and original distributions test omission: 0.0732\nEquate entropy of thresholded and original distributions binomial probability: 5.73E-52", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "dd3042e6-bab5-4e17-9f3e-c89998dade41", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-6a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1-6a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 921, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd3042e6-bab5-4e17-9f3e-c89998dade41", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b1-6a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7b064c18-3998-4c76-b69a-7e63cb4fdd06", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2-2a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 922, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b064c18-3998-4c76-b69a-7e63cb4fdd06", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f2-2a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "093dabbe-857b-4c8c-ad31-31b33c4d26fe", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-4_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.4 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 923, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/093dabbe-857b-4c8c-ad31-31b33c4d26fe", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "33e1c8bc-75be-4940-a129-70e8a4727b3f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.1b distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 924, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33e1c8bc-75be-4940-a129-70e8a4727b3f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "31493496-55b4-42f4-9380-0df684fc5a15", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7.4b, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 925, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31493496-55b4-42f4-9380-0df684fc5a15", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f7-4b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 18\nRegularized training gain: 3.5645\nUnregularized training gain: 4.4924\nIterations: 500\nTraining AUC: 0.9961\n#Test samples: 2\nTest gain: 5.6265\nTest AUC: 0.9995\nAUC Standard Deviation: 0.0003\n#Background points: 5018\nbio_12_etrs2_ras contribution: 1.9425\nbio_15_etrs2_ras contribution: 0.6398\nbio_18_etrs2_ras contribution: 11.3689\nbio_4_etrs2_ras contribution: 13.3294\nbio_8_etrs2_ras contribution: 0.5679\nbld_m_sd1_1km_eu_ll contribution: 0\ncecsum_m_sd1_1km_eu_ll contribution: 2.2802\nclyppt_m_sd1_1km_eu_ll contribution: 10.3818\ncrfvol_m_sd1_1km_eu_ll contribution: 19.27\ndist2water1km contribution: 31.3163\norcdrc_m_sd1_1km_eu_ll contribution: 2.2177\npet_he_yr contribution: 5.9573\nphihox_m_sd1_1km_eu_ll contribution: 0.2598\nsltppt_m_sd1_1km_eu_ll contribution: 0.2645\nsndppt_m_sd1_1km_eu_ll contribution: 0\nsolar_1km contribution: 0.204\nbio_12_etrs2_ras permutation importance: 1.9071\nbio_15_etrs2_ras permutation importance: 0.0409\nbio_18_etrs2_ras permutation importance: 34.9612\nbio_4_etrs2_ras permutation importance: 8.4866\nbio_8_etrs2_ras permutation importance: 1.3622\nbld_m_sd1_1km_eu_ll permutation importance: 0\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.0477\nclyppt_m_sd1_1km_eu_ll permutation importance: 33.7216\ncrfvol_m_sd1_1km_eu_ll permutation importance: 1.8799\ndist2water1km permutation importance: 0.7084\norcdrc_m_sd1_1km_eu_ll permutation importance: 0\npet_he_yr permutation importance: 16.7348\nphihox_m_sd1_1km_eu_ll permutation importance: 0.0613\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.0477\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 0.0409\nEntropy: 4.9681\nPrevalence (average of logistic output over background sites): 0.013\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0023\nFixed cumulative value 1 area: 0.3025\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 9.15E-02\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.015\nFixed cumulative value 5 area: 0.1226\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.50E-02\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0364\nFixed cumulative value 10 area: 0.0626\nFixed cumulative value 10 training omission: 0\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 3.92E-03\nMinimum training presence cumulative threshold: 16.9189\nMinimum training presence logistic threshold: 0.0948\nMinimum training presence area: 0.0295\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 8.70E-04\n10 percentile training presence cumulative threshold: 30.1029\n10 percentile training presence logistic threshold: 0.275\n10 percentile training presence area: 0.0096\n10 percentile training presence training omission: 0.0556\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 9.15E-05\nEqual training sensitivity and specificity cumulative threshold: 16.9918\nEqual training sensitivity and specificity logistic threshold: 0.0948\nEqual training sensitivity and specificity area: 0.0295\nEqual training sensitivity and specificity training omission: 0.0556\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 8.70E-04\nMaximum training sensitivity plus specificity cumulative threshold: 16.9189\nMaximum training sensitivity plus specificity logistic threshold: 0.0948\nMaximum training sensitivity plus specificity area: 0.0295\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 8.70E-04\nEqual test sensitivity and specificity cumulative threshold: 80.3144\nEqual test sensitivity and specificity logistic threshold: 0.8727\nEqual test sensitivity and specificity area: 0.0008\nEqual test sensitivity and specificity training omission: 0.7778\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 6.35E-07\nMaximum test sensitivity plus specificity cumulative threshold: 80.3144\nMaximum test sensitivity plus specificity logistic threshold: 0.8727\nMaximum test sensitivity plus specificity area: 0.0008\nMaximum test sensitivity plus specificity training omission: 0.7778\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 6.35E-07\nBalance training omission, predicted area and threshold value cumulative threshold: 4.0242\nBalance training omission, predicted area and threshold value logistic threshold: 0.0113\nBalance training omission, predicted area and threshold value area: 0.1437\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.06E-02\nEquate entropy of thresholded and original distributions cumulative threshold: 17.3633\nEquate entropy of thresholded and original distributions logistic threshold: 0.0972\nEquate entropy of thresholded and original distributions area: 0.0285\nEquate entropy of thresholded and original distributions training omission: 0.0556\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 8.12E-04", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Poor prediction, should be restricted to Southern Europe.\n \n Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "c0849cb5-3199-440f-a6f2-81d06b9d6f24", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9.1a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 926, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0849cb5-3199-440f-a6f2-81d06b9d6f24", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f9-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 28\nRegularized training gain: 2.6513\nUnregularized training gain: 3.2365\nIterations: 500\nTraining AUC: 0.9784\n#Test samples: 3\nTest gain: 1.7485\nTest AUC: 0.9554\nAUC Standard Deviation: 0.0168\n#Background points: 5028\nbio_12_etrs2_ras contribution: 2.062\nbio_15_etrs2_ras contribution: 2.7475\nbio_18_etrs2_ras contribution: 5.4374\nbio_4_etrs2_ras contribution: 15.7363\nbio_8_etrs2_ras contribution: 13.3716\nbld_m_sd1_1km_eu_ll contribution: 3.9422\ncecsum_m_sd1_1km_eu_ll contribution: 3.8722\nclyppt_m_sd1_1km_eu_ll contribution: 4.7988\ncrfvol_m_sd1_1km_eu_ll contribution: 0.0194\ndist2water1km contribution: 0.0549\norcdrc_m_sd1_1km_eu_ll contribution: 6.8494\npet_he_yr contribution: 39.4572\nphihox_m_sd1_1km_eu_ll contribution: 0.0006\nsltppt_m_sd1_1km_eu_ll contribution: 0\nsndppt_m_sd1_1km_eu_ll contribution: 0\nsolar_1km contribution: 1.6505\nbio_12_etrs2_ras permutation importance: 2.6305\nbio_15_etrs2_ras permutation importance: 2.3392\nbio_18_etrs2_ras permutation importance: 9.287\nbio_4_etrs2_ras permutation importance: 7.7913\nbio_8_etrs2_ras permutation importance: 28.9472\nbld_m_sd1_1km_eu_ll permutation importance: 22.3513\ncecsum_m_sd1_1km_eu_ll permutation importance: 12.7336\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.8768\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.1092\ndist2water1km permutation importance: 0.0152\norcdrc_m_sd1_1km_eu_ll permutation importance: 1.6717\npet_he_yr permutation importance: 8.5437\nphihox_m_sd1_1km_eu_ll permutation importance: 0.0273\nsltppt_m_sd1_1km_eu_ll permutation importance: 0\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 2.676\nEntropy: 5.8744\nPrevalence (average of logistic output over background sites): 0.0339\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.007\nFixed cumulative value 1 area: 0.3117\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 3.03E-02\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0396\nFixed cumulative value 5 area: 0.1553\nFixed cumulative value 5 training omission: 0.0357\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 3.75E-03\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0871\nFixed cumulative value 10 area: 0.1002\nFixed cumulative value 10 training omission: 0.0714\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 1.01E-03\nMinimum training presence cumulative threshold: 4.0019\nMinimum training presence logistic threshold: 0.0304\nMinimum training presence area: 0.1748\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.34E-03\n10 percentile training presence cumulative threshold: 17.2303\n10 percentile training presence logistic threshold: 0.1588\n10 percentile training presence area: 0.0623\n10 percentile training presence training omission: 0.0714\n10 percentile training presence test omission: 0.3333\n10 percentile training presence binomial probability: 1.11E-02\nEqual training sensitivity and specificity cumulative threshold: 15.0028\nEqual training sensitivity and specificity logistic threshold: 0.1363\nEqual training sensitivity and specificity area: 0.0714\nEqual training sensitivity and specificity training omission: 0.0714\nEqual training sensitivity and specificity test omission: 0.3333\nEqual training sensitivity and specificity binomial probability: 1.46E-02\nMaximum training sensitivity plus specificity cumulative threshold: 17.2303\nMaximum training sensitivity plus specificity logistic threshold: 0.1588\nMaximum training sensitivity plus specificity area: 0.0623\nMaximum training sensitivity plus specificity training omission: 0.0714\nMaximum training sensitivity plus specificity test omission: 0.3333\nMaximum training sensitivity plus specificity binomial probability: 1.11E-02\nEqual test sensitivity and specificity cumulative threshold: 13.7596\nEqual test sensitivity and specificity logistic threshold: 0.1225\nEqual test sensitivity and specificity area: 0.0772\nEqual test sensitivity and specificity training omission: 0.0714\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 4.59E-04\nMaximum test sensitivity plus specificity cumulative threshold: 13.7596\nMaximum test sensitivity plus specificity logistic threshold: 0.1225\nMaximum test sensitivity plus specificity area: 0.0772\nMaximum test sensitivity plus specificity training omission: 0.0714\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 4.59E-04\nBalance training omission, predicted area and threshold value cumulative threshold: 3.5898\nBalance training omission, predicted area and threshold value logistic threshold: 0.0275\nBalance training omission, predicted area and threshold value area: 0.1848\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 6.31E-03\nEquate entropy of thresholded and original distributions cumulative threshold: 15.1812\nEquate entropy of thresholded and original distributions logistic threshold: 0.1374\nEquate entropy of thresholded and original distributions area: 0.0706\nEquate entropy of thresholded and original distributions training omission: 0.0714\nEquate entropy of thresholded and original distributions test omission: 0.3333\nEquate entropy of thresholded and original distributions binomial probability: 1.43E-02", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks:\n \n Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "20c0d49f-4ef6-43d7-8829-d0b1b1657497", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-1_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F4.1, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 927, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20c0d49f-4ef6-43d7-8829-d0b1b1657497", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f4-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 881\nRegularized training gain: 1.4152\nUnregularized training gain: 1.4859\nIterations: 500\nTraining AUC: 0.9118\n#Test samples: 97\nTest gain: 1.559\nTest AUC: 0.9158\nAUC Standard Deviation: 0.0062\n#Background points: 5880\nbio_12_etrs2_ras contribution: 0.1603\nbio_15_etrs2_ras contribution: 0.6302\nbio_18_etrs2_ras contribution: 0.3854\nbio_4_etrs2_ras contribution: 74.6549\nbio_8_etrs2_ras contribution: 0.3431\nbld_m_sd1_1km_eu_ll contribution: 4.9738\ncecsum_m_sd1_1km_eu_ll contribution: 0.0011\nclyppt_m_sd1_1km_eu_ll contribution: 0.6261\ncrfvol_m_sd1_1km_eu_ll contribution: 0.001\ndist2water1km contribution: 0.0314\norcdrc_m_sd1_1km_eu_ll contribution: 0.071\npet_he_yr contribution: 5.217\nphihox_m_sd1_1km_eu_ll contribution: 6.5263\nsltppt_m_sd1_1km_eu_ll contribution: 4.9587\nsndppt_m_sd1_1km_eu_ll contribution: 1.1275\nsolar_1km contribution: 0.2921\nbio_12_etrs2_ras permutation importance: 0.5099\nbio_15_etrs2_ras permutation importance: 2.3547\nbio_18_etrs2_ras permutation importance: 1.37\nbio_4_etrs2_ras permutation importance: 76.617\nbio_8_etrs2_ras permutation importance: 0.3155\nbld_m_sd1_1km_eu_ll permutation importance: 3.1889\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.0214\nclyppt_m_sd1_1km_eu_ll permutation importance: 2.8413\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.0048\ndist2water1km permutation importance: 0.1075\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.1084\npet_he_yr permutation importance: 8.2662\nphihox_m_sd1_1km_eu_ll permutation importance: 3.1318\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.6201\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.1568\nsolar_1km permutation importance: 0.3858\nEntropy: 7.2663\nPrevalence (average of logistic output over background sites): 0.1182\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.033\nFixed cumulative value 1 area: 0.3383\nFixed cumulative value 1 training omission: 0.0023\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.80E-43\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.163\nFixed cumulative value 5 area: 0.2308\nFixed cumulative value 5 training omission: 0.0295\nFixed cumulative value 5 test omission: 0.0103\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2964\nFixed cumulative value 10 area: 0.1889\nFixed cumulative value 10 training omission: 0.0783\nFixed cumulative value 10 test omission: 0.0309\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0614\nMinimum training presence logistic threshold: 0.0014\nMinimum training presence area: 0.5969\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.91E-16\n10 percentile training presence cumulative threshold: 12.8354\n10 percentile training presence logistic threshold: 0.3453\n10 percentile training presence area: 0.1743\n10 percentile training presence training omission: 0.0999\n10 percentile training presence test omission: 0.0412\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 18.1245\nEqual training sensitivity and specificity logistic threshold: 0.4071\nEqual training sensitivity and specificity area: 0.1529\nEqual training sensitivity and specificity training omission: 0.1532\nEqual training sensitivity and specificity test omission: 0.0825\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 6.2191\nMaximum training sensitivity plus specificity logistic threshold: 0.1969\nMaximum training sensitivity plus specificity area: 0.2173\nMaximum training sensitivity plus specificity training omission: 0.0386\nMaximum training sensitivity plus specificity test omission: 0.0206\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 24.5862\nEqual test sensitivity and specificity logistic threshold: 0.4655\nEqual test sensitivity and specificity area: 0.1327\nEqual test sensitivity and specificity training omission: 0.2032\nEqual test sensitivity and specificity test omission: 0.134\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 13.6499\nMaximum test sensitivity plus specificity logistic threshold: 0.3537\nMaximum test sensitivity plus specificity area: 0.1707\nMaximum test sensitivity plus specificity training omission: 0.1078\nMaximum test sensitivity plus specificity test omission: 0.0412\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 2.4267\nBalance training omission, predicted area and threshold value logistic threshold: 0.0819\nBalance training omission, predicted area and threshold value area: 0.2786\nBalance training omission, predicted area and threshold value training omission: 0.0034\nBalance training omission, predicted area and threshold value test omission: 0.0103\nBalance training omission, predicted area and threshold value binomial probability: 2.54E-55\nEquate entropy of thresholded and original distributions cumulative threshold: 4.1097\nEquate entropy of thresholded and original distributions logistic threshold: 0.1307\nEquate entropy of thresholded and original distributions area: 0.2434\nEquate entropy of thresholded and original distributions training omission: 0.0216\nEquate entropy of thresholded and original distributions test omission: 0.0103\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "2f51f5d4-26a6-4e73-8a10-c4630ee8ab59", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7-4b distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 928, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f51f5d4-26a6-4e73-8a10-c4630ee8ab59", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f7-4b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "8e5906d7-72c1-45dc-99f6-0a2250000ed3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-4_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2-4 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 929, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e5906d7-72c1-45dc-99f6-0a2250000ed3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f2-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. 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The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "60e29d8a-1bbf-438f-8731-01f9113f4734", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4c_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.4c distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 931, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/60e29d8a-1bbf-438f-8731-01f9113f4734", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-4c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "71a56e1a-6316-4e15-8771-d09ffdc41171", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-4_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5-4 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 932, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71a56e1a-6316-4e15-8771-d09ffdc41171", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f5-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "ee301df0-509d-482a-a733-aeb5fa9b2807", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-2_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9.2, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 933, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee301df0-509d-482a-a733-aeb5fa9b2807", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f9-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1234\nRegularized training gain: 0.472\nUnregularized training gain: 0.5897\nIterations: 500\nTraining AUC: 0.7945\n#Test samples: 137\nTest gain: 0.4925\nTest AUC: 0.7679\nAUC Standard Deviation: 0.0168\n#Background points: 5798\nbio_12_etrs2_ras contribution: 2.8352\nbio_15_etrs2_ras contribution: 3.6013\nbio_18_etrs2_ras contribution: 11.8177\nbio_4_etrs2_ras contribution: 1.0261\nbio_8_etrs2_ras contribution: 1.021\nbld_m_sd1_1km_eu_ll contribution: 1.6898\ncecsum_m_sd1_1km_eu_ll contribution: 0.2901\nclyppt_m_sd1_1km_eu_ll contribution: 1.8138\ncrfvol_m_sd1_1km_eu_ll contribution: 31.0597\ndist2water1km contribution: 1.0777\norcdrc_m_sd1_1km_eu_ll contribution: 1.153\npet_he_yr contribution: 5.1577\nsltppt_m_sd1_1km_eu_ll contribution: 2.4878\nsndppt_m_sd1_1km_eu_ll contribution: 2.8443\nsolar_1km contribution: 32.1247\nbio_12_etrs2_ras permutation importance: 4.558\nbio_15_etrs2_ras permutation importance: 5.6519\nbio_18_etrs2_ras permutation importance: 11.506\nbio_4_etrs2_ras permutation importance: 3.1255\nbio_8_etrs2_ras permutation importance: 2.0508\nbld_m_sd1_1km_eu_ll permutation importance: 5.028\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.8506\nclyppt_m_sd1_1km_eu_ll permutation importance: 5.5312\ncrfvol_m_sd1_1km_eu_ll permutation importance: 23.9301\ndist2water1km permutation importance: 1.1233\norcdrc_m_sd1_1km_eu_ll permutation importance: 1.8734\npet_he_yr permutation importance: 7.7424\nsltppt_m_sd1_1km_eu_ll permutation importance: 2.8432\nsndppt_m_sd1_1km_eu_ll permutation importance: 3.1127\nsolar_1km permutation importance: 21.0731\nTraining gain without bio_12_etrs2_ras: 0.466\nTraining gain without bio_15_etrs2_ras: 0.4594\nTraining gain without bio_18_etrs2_ras: 0.4605\nTraining gain without bio_4_etrs2_ras: 0.468\nTraining gain without bio_8_etrs2_ras: 0.4678\nTraining gain without bld_m_sd1_1km_eu_ll: 0.4665\nTraining gain without cecsum_m_sd1_1km_eu_ll: 0.4705\nTraining gain without clyppt_m_sd1_1km_eu_ll: 0.4667\nTraining gain without crfvol_m_sd1_1km_eu_ll: 0.4411\nTraining gain without dist2water1km: 0.4678\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 0.4681\nTraining gain without pet_he_yr: 0.4585\nTraining gain without sltppt_m_sd1_1km_eu_ll: 0.4694\nTraining gain without sndppt_m_sd1_1km_eu_ll: 0.4687\nTraining gain without solar_1km: 0.445\nTraining gain with only bio_12_etrs2_ras: 0.1094\nTraining gain with only bio_15_etrs2_ras: 0.033\nTraining gain with only bio_18_etrs2_ras: 0.1928\nTraining gain with only bio_4_etrs2_ras: 0.0593\nTraining gain with only bio_8_etrs2_ras: 0.0847\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.0798\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.1247\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.0173\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.2713\nTraining gain with only dist2water1km: 0.0341\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.0866\nTraining gain with only pet_he_yr: 0.1019\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.1146\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.0766\nTraining gain with only solar_1km: 0.2602\nTest gain without bio_12_etrs2_ras: 0.4698\nTest gain without bio_15_etrs2_ras: 0.4778\nTest gain without bio_18_etrs2_ras: 0.4733\nTest gain without bio_4_etrs2_ras: 0.4828\nTest gain without bio_8_etrs2_ras: 0.482\nTest gain without bld_m_sd1_1km_eu_ll: 0.511\nTest gain without cecsum_m_sd1_1km_eu_ll: 0.495\nTest gain without clyppt_m_sd1_1km_eu_ll: 0.4921\nTest gain without crfvol_m_sd1_1km_eu_ll: 0.4835\nTest gain without dist2water1km: 0.476\nTest gain without orcdrc_m_sd1_1km_eu_ll: 0.4875\nTest gain without pet_he_yr: 0.4828\nTest gain without sltppt_m_sd1_1km_eu_ll: 0.485\nTest gain without sndppt_m_sd1_1km_eu_ll: 0.4792\nTest gain without solar_1km: 0.5002\nTest gain with only bio_12_etrs2_ras: 0.1721\nTest gain with only bio_15_etrs2_ras: 0.0342\nTest gain with only bio_18_etrs2_ras: 0.229\nTest gain with only bio_4_etrs2_ras: 0.0821\nTest gain with only bio_8_etrs2_ras: 0.1543\nTest gain with only bld_m_sd1_1km_eu_ll: 0.0971\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.1399\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.0329\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.2595\nTest gain with only dist2water1km: 0.0712\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.0989\nTest gain with only pet_he_yr: 0.1181\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.1319\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.116\nTest gain with only solar_1km: 0.2465\nAUC without bio_12_etrs2_ras: 0.7616\nAUC without bio_15_etrs2_ras: 0.7637\nAUC without bio_18_etrs2_ras: 0.7635\nAUC without bio_4_etrs2_ras: 0.7654\nAUC without bio_8_etrs2_ras: 0.7633\nAUC without bld_m_sd1_1km_eu_ll: 0.7743\nAUC without cecsum_m_sd1_1km_eu_ll: 0.7686\nAUC without clyppt_m_sd1_1km_eu_ll: 0.768\nAUC without crfvol_m_sd1_1km_eu_ll: 0.7692\nAUC without dist2water1km: 0.762\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.7658\nAUC without pet_he_yr: 0.767\nAUC without sltppt_m_sd1_1km_eu_ll: 0.7641\nAUC without sndppt_m_sd1_1km_eu_ll: 0.7642\nAUC without solar_1km: 0.7702\nAUC with only bio_12_etrs2_ras: 0.6604\nAUC with only bio_15_etrs2_ras: 0.5555\nAUC with only bio_18_etrs2_ras: 0.6796\nAUC with only bio_4_etrs2_ras: 0.6188\nAUC with only bio_8_etrs2_ras: 0.6718\nAUC with only bld_m_sd1_1km_eu_ll: 0.5966\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.6361\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.5725\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.6815\nAUC with only dist2water1km: 0.6108\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.6134\nAUC with only pet_he_yr: 0.6106\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.6365\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.634\nAUC with only solar_1km: 0.6787\nEntropy: 8.1975\nPrevalence (average of logistic output over background sites): 0.3091\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0747\nFixed cumulative value 1 area: 0.7585\nFixed cumulative value 1 training omission: 0.0049\nFixed cumulative value 1 test omission: 0.0146\nFixed cumulative value 1 binomial probability: 2.74E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2263\nFixed cumulative value 5 area: 0.609\nFixed cumulative value 5 training omission: 0.0284\nFixed cumulative value 5 test omission: 0.073\nFixed cumulative value 5 binomial probability: 1.19E-14\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3038\nFixed cumulative value 10 area: 0.5233\nFixed cumulative value 10 training omission: 0.0583\nFixed cumulative value 10 test omission: 0.0949\nFixed cumulative value 10 binomial probability: 1.81E-19\nMinimum training presence cumulative threshold: 0.0973\nMinimum training presence logistic threshold: 0.0137\nMinimum training presence area: 0.8974\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.78E-05\n10 percentile training presence cumulative threshold: 15.8761\n10 percentile training presence logistic threshold: 0.3701\n10 percentile training presence area: 0.4514\n10 percentile training presence training omission: 0.0997\n10 percentile training presence test omission: 0.146\n10 percentile training presence binomial probability: 1.39E-21\nEqual training sensitivity and specificity cumulative threshold: 36.1342\nEqual training sensitivity and specificity logistic threshold: 0.481\nEqual training sensitivity and specificity area: 0.2832\nEqual training sensitivity and specificity training omission: 0.2828\nEqual training sensitivity and specificity test omission: 0.2847\nEqual training sensitivity and specificity binomial probability: 1.52E-29\nMaximum training sensitivity plus specificity cumulative threshold: 26.821\nMaximum training sensitivity plus specificity logistic threshold: 0.4385\nMaximum training sensitivity plus specificity area: 0.3513\nMaximum training sensitivity plus specificity training omission: 0.1904\nMaximum training sensitivity plus specificity test omission: 0.2482\nMaximum training sensitivity plus specificity binomial probability: 4.64E-23\nEqual test sensitivity and specificity cumulative threshold: 35.9049\nEqual test sensitivity and specificity logistic threshold: 0.48\nEqual test sensitivity and specificity area: 0.2848\nEqual test sensitivity and specificity training omission: 0.2796\nEqual test sensitivity and specificity test omission: 0.2847\nEqual test sensitivity and specificity binomial probability: 2.95E-29\nMaximum test sensitivity plus specificity cumulative threshold: 36.7815\nMaximum test sensitivity plus specificity logistic threshold: 0.4832\nMaximum test sensitivity plus specificity area: 0.2787\nMaximum test sensitivity plus specificity training omission: 0.2869\nMaximum test sensitivity plus specificity test omission: 0.2847\nMaximum test sensitivity plus specificity binomial probability: 2.14E-30\nBalance training omission, predicted area and threshold value cumulative threshold: 2.47\nBalance training omission, predicted area and threshold value logistic threshold: 0.1364\nBalance training omission, predicted area and threshold value area: 0.6787\nBalance training omission, predicted area and threshold value training omission: 0.0089\nBalance training omission, predicted area and threshold value test omission: 0.0219\nBalance training omission, predicted area and threshold value binomial probability: 3.08E-14\nEquate entropy of thresholded and original distributions cumulative threshold: 4.2318\nEquate entropy of thresholded and original distributions logistic threshold: 0.2101\nEquate entropy of thresholded and original distributions area: 0.6263\nEquate entropy of thresholded and original distributions training omission: 0.0243\nEquate entropy of thresholded and original distributions test omission: 0.0584\nEquate entropy of thresholded and original distributions binomial probability: 1.18E-14", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "49e533f7-e7a0-4861-80c4-ec6e98d57bfa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-6_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.6, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 934, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49e533f7-e7a0-4861-80c4-ec6e98d57bfa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g2-6_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 140\nRegularized training gain: 2.2742\nUnregularized training gain: 2.644\nIterations: 500\nTraining AUC: 0.975\n#Test samples: 15\nTest gain: 2.1767\nTest AUC: 0.9567\nAUC Standard Deviation: 0.0112\n#Background points: 10139\nbio_12_etrs2_ras contribution: 1.481\nbio_15_etrs2_ras contribution: 1.5128\nbio_18_etrs2_ras contribution: 3.1735\nbio_4_etrs2_ras contribution: 57.3421\nbio_8_etrs2_ras contribution: 14.5124\ndist2water1km contribution: 0.1179\npet_he_yr contribution: 19.9521\nsoil_ph contribution: 0.3936\nsolar_1km contribution: 1.5147\nbio_12_etrs2_ras permutation importance: 4.2909\nbio_15_etrs2_ras permutation importance: 10.3437\nbio_18_etrs2_ras permutation importance: 15.3893\nbio_4_etrs2_ras permutation importance: 44.8665\nbio_8_etrs2_ras permutation importance: 9.9109\ndist2water1km permutation importance: 0.0855\npet_he_yr permutation importance: 14.1141\nsoil_ph permutation importance: 0.2741\nsolar_1km permutation importance: 0.725\nEntropy: 6.9853\nPrevalence (average of logistic output over background sites): 0.0517\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0172\nFixed cumulative value 1 area: 0.2204\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.41E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0913\nFixed cumulative value 5 area: 0.1234\nFixed cumulative value 5 training omission: 0.0143\nFixed cumulative value 5 test omission: 0.0667\nFixed cumulative value 5 binomial probability: 2.52E-12\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.224\nFixed cumulative value 10 area: 0.0946\nFixed cumulative value 10 training omission: 0.0286\nFixed cumulative value 10 test omission: 0.1333\nFixed cumulative value 10 binomial probability: 4.24E-12\nMinimum training presence cumulative threshold: 1.3596\nMinimum training presence logistic threshold: 0.0235\nMinimum training presence area: 0.2022\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.86E-11\n10 percentile training presence cumulative threshold: 22.2207\n10 percentile training presence logistic threshold: 0.3577\n10 percentile training presence area: 0.0632\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.2667\n10 percentile training presence binomial probability: 6.93E-11\nEqual training sensitivity and specificity cumulative threshold: 19.1369\nEqual training sensitivity and specificity logistic threshold: 0.3338\nEqual training sensitivity and specificity area: 0.0695\nEqual training sensitivity and specificity training omission: 0.0714\nEqual training sensitivity and specificity test omission: 0.1333\nEqual training sensitivity and specificity binomial probability: 8.16E-14\nMaximum training sensitivity plus specificity cumulative threshold: 11.3366\nMaximum training sensitivity plus specificity logistic threshold: 0.2459\nMaximum training sensitivity plus specificity area: 0.09\nMaximum training sensitivity plus specificity training omission: 0.0286\nMaximum training sensitivity plus specificity test omission: 0.1333\nMaximum training sensitivity plus specificity binomial probability: 2.26E-12\nEqual test sensitivity and specificity cumulative threshold: 6.4218\nEqual test sensitivity and specificity logistic threshold: 0.1369\nEqual test sensitivity and specificity area: 0.1115\nEqual test sensitivity and specificity training omission: 0.0214\nEqual test sensitivity and specificity test omission: 0.1333\nEqual test sensitivity and specificity binomial probability: 3.49E-11\nMaximum test sensitivity plus specificity cumulative threshold: 2.7176\nMaximum test sensitivity plus specificity logistic threshold: 0.0446\nMaximum test sensitivity plus specificity area: 0.1592\nMaximum test sensitivity plus specificity training omission: 0.0071\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.07E-12\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3596\nBalance training omission, predicted area and threshold value logistic threshold: 0.0235\nBalance training omission, predicted area and threshold value area: 0.2022\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 3.86E-11\nEquate entropy of thresholded and original distributions cumulative threshold: 7.2558\nEquate entropy of thresholded and original distributions logistic threshold: 0.1631\nEquate entropy of thresholded and original distributions area: 0.1065\nEquate entropy of thresholded and original distributions training omission: 0.0214\nEquate entropy of thresholded and original distributions test omission: 0.1333\nEquate entropy of thresholded and original distributions binomial probability: 1.94E-11", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "a5ceb14d-be95-475f-9dcb-6ae6bb2b7676", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-2_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.2, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 935, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5ceb14d-be95-475f-9dcb-6ae6bb2b7676", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 2920\nRegularized training gain: 0.4176\nUnregularized training gain: 0.4819\nIterations: 500\nTraining AUC: 0.7676\n#Test samples: 324\nTest gain: 0.4149\nTest AUC: 0.7524\nAUC Standard Deviation: 0.0123\n#Background points: 12479\nbio_12_etrs2_ras contribution: 4.4875\nbio_15_etrs2_ras contribution: 1.0157\nbio_18_etrs2_ras contribution: 31.0573\nbio_4_etrs2_ras contribution: 5.8461\nbio_8_etrs2_ras contribution: 5.4082\ndist2water1km contribution: 0.929\npet_he_yr contribution: 5.0005\nsoil_ph contribution: 1.7308\nsolar_1km contribution: 44.5248\nbio_12_etrs2_ras permutation importance: 20.9707\nbio_15_etrs2_ras permutation importance: 2.1819\nbio_18_etrs2_ras permutation importance: 26.6328\nbio_4_etrs2_ras permutation importance: 15.4539\nbio_8_etrs2_ras permutation importance: 4.9336\ndist2water1km permutation importance: 0.768\npet_he_yr permutation importance: 2.4987\nsoil_ph permutation importance: 1.6799\nsolar_1km permutation importance: 24.8805\nTraining gain without bio_12_etrs2_ras: 0.4051\nTraining gain without bio_15_etrs2_ras: 0.4129\nTraining gain without bio_18_etrs2_ras: 0.3829\nTraining gain without bio_4_etrs2_ras: 0.3947\nTraining gain without bio_8_etrs2_ras: 0.4121\nTraining gain without dist2water1km: 0.4148\nTraining gain without pet_he_yr: 0.4136\nTraining gain without soil_ph: 0.4113\nTraining gain without solar_1km: 0.3732\nTraining gain with only bio_12_etrs2_ras: 0.0961\nTraining gain with only bio_15_etrs2_ras: 0.0331\nTraining gain with only bio_18_etrs2_ras: 0.2175\nTraining gain with only bio_4_etrs2_ras: 0.0597\nTraining gain with only bio_8_etrs2_ras: 0.1579\nTraining gain with only dist2water1km: 0.0184\nTraining gain with only pet_he_yr: 0.0814\nTraining gain with only soil_ph: 0.0166\nTraining gain with only solar_1km: 0.2315\nTest gain without bio_12_etrs2_ras: 0.3945\nTest gain without bio_15_etrs2_ras: 0.411\nTest gain without bio_18_etrs2_ras: 0.3891\nTest gain without bio_4_etrs2_ras: 0.4046\nTest gain without bio_8_etrs2_ras: 0.4117\nTest gain without dist2water1km: 0.4119\nTest gain without pet_he_yr: 0.4053\nTest gain without soil_ph: 0.4069\nTest gain without solar_1km: 0.3669\nTest gain with only bio_12_etrs2_ras: 0.107\nTest gain with only bio_15_etrs2_ras: 0.0533\nTest gain with only bio_18_etrs2_ras: 0.2085\nTest gain with only bio_4_etrs2_ras: 0.053\nTest gain with only bio_8_etrs2_ras: 0.157\nTest gain with only dist2water1km: 0.0235\nTest gain with only pet_he_yr: 0.0979\nTest gain with only soil_ph: 0.018\nTest gain with only solar_1km: 0.2364\nAUC without bio_12_etrs2_ras: 0.7485\nAUC without bio_15_etrs2_ras: 0.7515\nAUC without bio_18_etrs2_ras: 0.7455\nAUC without bio_4_etrs2_ras: 0.7513\nAUC without bio_8_etrs2_ras: 0.7509\nAUC without dist2water1km: 0.7518\nAUC without pet_he_yr: 0.7488\nAUC without soil_ph: 0.7501\nAUC without solar_1km: 0.7402\nAUC with only bio_12_etrs2_ras: 0.6363\nAUC with only bio_15_etrs2_ras: 0.5753\nAUC with only bio_18_etrs2_ras: 0.6826\nAUC with only bio_4_etrs2_ras: 0.58\nAUC with only bio_8_etrs2_ras: 0.6588\nAUC with only dist2water1km: 0.5504\nAUC with only pet_he_yr: 0.6199\nAUC with only soil_ph: 0.5528\nAUC with only solar_1km: 0.6876\nEntropy: 9.0145\nPrevalence (average of logistic output over background sites): 0.3252\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0691\nFixed cumulative value 1 area: 0.8021\nFixed cumulative value 1 training omission: 0.0062\nFixed cumulative value 1 test omission: 0.0185\nFixed cumulative value 1 binomial probability: 2.69E-16\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2225\nFixed cumulative value 5 area: 0.6459\nFixed cumulative value 5 training omission: 0.0387\nFixed cumulative value 5 test omission: 0.0648\nFixed cumulative value 5 binomial probability: 6.53E-28\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3073\nFixed cumulative value 10 area: 0.555\nFixed cumulative value 10 training omission: 0.0832\nFixed cumulative value 10 test omission: 0.1235\nFixed cumulative value 10 binomial probability: 1.20E-31\nMinimum training presence cumulative threshold: 0.0083\nMinimum training presence logistic threshold: 0.0063\nMinimum training presence area: 0.9854\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.43E-02\n10 percentile training presence cumulative threshold: 11.9852\n10 percentile training presence logistic threshold: 0.3296\n10 percentile training presence area: 0.527\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1327\n10 percentile training presence binomial probability: 6.85E-35\nEqual training sensitivity and specificity cumulative threshold: 34.7848\nEqual training sensitivity and specificity logistic threshold: 0.467\nEqual training sensitivity and specificity area: 0.3049\nEqual training sensitivity and specificity training omission: 0.3048\nEqual training sensitivity and specificity test omission: 0.3148\nEqual training sensitivity and specificity binomial probability: 2.65E-50\nMaximum training sensitivity plus specificity cumulative threshold: 29.9538\nMaximum training sensitivity plus specificity logistic threshold: 0.4459\nMaximum training sensitivity plus specificity area: 0.3428\nMaximum training sensitivity plus specificity training omission: 0.2579\nMaximum training sensitivity plus specificity test omission: 0.2809\nMaximum training sensitivity plus specificity binomial probability: 1.66E-46\nEqual test sensitivity and specificity cumulative threshold: 33.8958\nEqual test sensitivity and specificity logistic threshold: 0.4637\nEqual test sensitivity and specificity area: 0.3117\nEqual test sensitivity and specificity training omission: 0.2945\nEqual test sensitivity and specificity test omission: 0.3117\nEqual test sensitivity and specificity binomial probability: 8.68E-49\nMaximum test sensitivity plus specificity cumulative threshold: 37.3613\nMaximum test sensitivity plus specificity logistic threshold: 0.4783\nMaximum test sensitivity plus specificity area: 0.286\nMaximum test sensitivity plus specificity training omission: 0.3257\nMaximum test sensitivity plus specificity test omission: 0.3241\nMaximum test sensitivity plus specificity binomial probability: 1.06E-54\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3525\nBalance training omission, predicted area and threshold value logistic threshold: 0.0904\nBalance training omission, predicted area and threshold value area: 0.7752\nBalance training omission, predicted area and threshold value training omission: 0.0086\nBalance training omission, predicted area and threshold value test omission: 0.0216\nBalance training omission, predicted area and threshold value binomial probability: 9.69E-19\nEquate entropy of thresholded and original distributions cumulative threshold: 4.4583\nEquate entropy of thresholded and original distributions logistic threshold: 0.2099\nEquate entropy of thresholded and original distributions area: 0.6588\nEquate entropy of thresholded and original distributions training omission: 0.0349\nEquate entropy of thresholded and original distributions test omission: 0.0617\nEquate entropy of thresholded and original distributions binomial probability: 1.33E-26", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "df7a575c-97af-41c4-92a1-a4b4104488d8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-1_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F4-1 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 936, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df7a575c-97af-41c4-92a1-a4b4104488d8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f4-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6a01654d-43ff-4c0c-acc0-2bc5063367e0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-2_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F4.2, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 937, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6a01654d-43ff-4c0c-acc0-2bc5063367e0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f4-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 2835\nRegularized training gain: 0.591\nUnregularized training gain: 0.627\nIterations: 500\nTraining AUC: 0.7839\n#Test samples: 314\nTest gain: 0.6079\nTest AUC: 0.7792\nAUC Standard Deviation: 0.0091\n#Background points: 7833\nbio_12_etrs2_ras contribution: 3.1502\nbio_15_etrs2_ras contribution: 1.5042\nbio_18_etrs2_ras contribution: 0.1225\nbio_4_etrs2_ras contribution: 72.1137\nbio_8_etrs2_ras contribution: 0.0238\nbld_m_sd1_1km_eu_ll contribution: 0.3832\ncecsum_m_sd1_1km_eu_ll contribution: 0.0446\nclyppt_m_sd1_1km_eu_ll contribution: 0.4387\ncrfvol_m_sd1_1km_eu_ll contribution: 0.432\ndist2water1km contribution: 0.0888\norcdrc_m_sd1_1km_eu_ll contribution: 0.2058\npet_he_yr contribution: 9.17\nphihox_m_sd1_1km_eu_ll contribution: 11.3945\nsltppt_m_sd1_1km_eu_ll contribution: 0.2384\nsndppt_m_sd1_1km_eu_ll contribution: 0.3866\nsolar_1km contribution: 0.303\nbio_12_etrs2_ras permutation importance: 0.117\nbio_15_etrs2_ras permutation importance: 2.2851\nbio_18_etrs2_ras permutation importance: 0.4573\nbio_4_etrs2_ras permutation importance: 71.4457\nbio_8_etrs2_ras permutation importance: 0.1852\nbld_m_sd1_1km_eu_ll permutation importance: 0.9947\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.3459\nclyppt_m_sd1_1km_eu_ll permutation importance: 2.6969\ncrfvol_m_sd1_1km_eu_ll permutation importance: 3.1712\ndist2water1km permutation importance: 0.3246\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.8905\npet_he_yr permutation importance: 9.1033\nphihox_m_sd1_1km_eu_ll permutation importance: 5.9395\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.5438\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.8147\nsolar_1km permutation importance: 0.6845\nEntropy: 8.3765\nPrevalence (average of logistic output over background sites): 0.2728\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.052\nFixed cumulative value 1 area: 0.6314\nFixed cumulative value 1 training omission: 0.0056\nFixed cumulative value 1 test omission: 0.0064\nFixed cumulative value 1 binomial probability: 1.09E-40\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2581\nFixed cumulative value 5 area: 0.5084\nFixed cumulative value 5 training omission: 0.0325\nFixed cumulative value 5 test omission: 0.0446\nFixed cumulative value 5 binomial probability: 7.52E-57\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3458\nFixed cumulative value 10 area: 0.4449\nFixed cumulative value 10 training omission: 0.0832\nFixed cumulative value 10 test omission: 0.0924\nFixed cumulative value 10 binomial probability: 1.85E-61\nMinimum training presence cumulative threshold: 0.0102\nMinimum training presence logistic threshold: 0.0022\nMinimum training presence area: 0.9515\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.15E-05\n10 percentile training presence cumulative threshold: 11.8784\n10 percentile training presence logistic threshold: 0.3692\n10 percentile training presence area: 0.4261\n10 percentile training presence training omission: 0.0998\n10 percentile training presence test omission: 0.1019\n10 percentile training presence binomial probability: 1.86E-64\nEqual training sensitivity and specificity cumulative threshold: 30.6404\nEqual training sensitivity and specificity logistic threshold: 0.4914\nEqual training sensitivity and specificity area: 0.293\nEqual training sensitivity and specificity training omission: 0.2928\nEqual training sensitivity and specificity test omission: 0.3217\nEqual training sensitivity and specificity binomial probability: 3.50E-51\nMaximum training sensitivity plus specificity cumulative threshold: 13.9208\nMaximum training sensitivity plus specificity logistic threshold: 0.3895\nMaximum training sensitivity plus specificity area: 0.4076\nMaximum training sensitivity plus specificity training omission: 0.1175\nMaximum training sensitivity plus specificity test omission: 0.1146\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 28.9913\nEqual test sensitivity and specificity logistic threshold: 0.4849\nEqual test sensitivity and specificity area: 0.3026\nEqual test sensitivity and specificity training omission: 0.2751\nEqual test sensitivity and specificity test omission: 0.3025\nEqual test sensitivity and specificity binomial probability: 1.07E-52\nMaximum test sensitivity plus specificity cumulative threshold: 15.2009\nMaximum test sensitivity plus specificity logistic threshold: 0.4009\nMaximum test sensitivity plus specificity area: 0.3968\nMaximum test sensitivity plus specificity training omission: 0.1309\nMaximum test sensitivity plus specificity test omission: 0.1146\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.4311\nBalance training omission, predicted area and threshold value logistic threshold: 0.0865\nBalance training omission, predicted area and threshold value area: 0.5981\nBalance training omission, predicted area and threshold value training omission: 0.0074\nBalance training omission, predicted area and threshold value test omission: 0.0127\nBalance training omission, predicted area and threshold value binomial probability: 3.12E-45\nEquate entropy of thresholded and original distributions cumulative threshold: 2.6363\nEquate entropy of thresholded and original distributions logistic threshold: 0.1806\nEquate entropy of thresholded and original distributions area: 0.5544\nEquate entropy of thresholded and original distributions training omission: 0.0138\nEquate entropy of thresholded and original distributions test omission: 0.0159\nEquate entropy of thresholded and original distributions binomial probability: 2.94E-53", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "c6cfaf0c-b6c3-4070-aee6-258ba51b3a41", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-3_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9-3 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 938, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6cfaf0c-b6c3-4070-aee6-258ba51b3a41", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f9-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6c2ff059-3e88-4d8d-b8f7-db55dada2b9c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-2_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F4-2 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 939, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c2ff059-3e88-4d8d-b8f7-db55dada2b9c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f4-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "010b7d32-9779-4336-b3f4-18181bebbd51", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-3_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.3 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 940, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/010b7d32-9779-4336-b3f4-18181bebbd51", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "13780f38-1177-4e68-b900-1baef89272a0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13780f38-1177-4e68-b900-1baef89272a0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "population|social aspects|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones Changes 2000-2006 (vector) - version 16, Jun. 2013", "restApi": null, "label": 941, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-changes", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13780f38-1177-4e68-b900-1baef89272a0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz-changes_2000-2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "The methodology described below for changes between 1990 and 2000 applies by analogy to changes between 2000 and 2006.\n\nUMZ Changes have been calculated as well, by unioning both UMZ90 and UMZ00 and looking for those polygons existing only in one year (i.e. 1990 or 2000). Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000). Only countries with CLC in both years have changes in UMZ\nSteps to follow:\n1. Create a file geodatabase to keep the geometries\n2. Union UMZ 1990 \u2013 2000. Output:UMZ90_00_Full\n3. Select ( \"FID_UMZ1990\" = -1 OR \"FID_UMZ2000\" = -1)\n4. Export the selection. Output:UMZ90_00_FULL_select.shp\n5. Selection of the real changes. Erasing\n a. Select the countries with NO CLC in both years (90-00 and 00-06) from a NUTS0 Layer (as accurate as possible)\uf0e0 selected_countries.shp\n b. Clip UMZ90_00_FULL_select.shp + selected_countries.shp \uf0e0 Output: Changes_90_00.shp\n c. Manually work to remove the changes belonging to the selected countries. Small feature classes are left in these countries due to not perfect overlay among layers (NUTS0 and CLC) mainly in the coastal areas\n6. Add and Calculate the Field \u201cArea_ha\u201d\n7. Add a new field name \u201cChange\u201d type = Text with length = 1 to Change_90_00.shp\n8. Delete unnecessary fields\n9. Select \u201cUMZ90_ID\u201d = 0 and Calculate Value for \u201cChange\u201d = + . This means Urban Sprawl\n10.Select \u201cUMZ00_ID\u201d = - 1 and Calculate Value for \u201cChange\u201d = - . This means Reduction of Urban Areas\n11.Select \u201cUMZ00_ID\u201d <> - 1 and \u201cUMZ90_ID\u201d <> 0 and Calculate Value for \u201cChange\u201d = 0. This means no changes of Urban Areas\n\nThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "Changes between UMZs in 2000 and UMZs in 2006 using CLC version 16.\nMost changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|United Kingdom", "publicationDate": "2019-06-05" }, { "sdiUuid": "96750fc4-7ecc-438e-a8ce-bf045e5780ea", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/96750fc4-7ecc-438e-a8ce-bf045e5780ea.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "population|social aspects|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones 1990 (vector) - version 16, Jun. 2013", "restApi": null, "label": 942, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-1990-2", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/96750fc4-7ecc-438e-a8ce-bf045e5780ea", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz_1990_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "An Urban Morphological Zone can be defined as \u201cA set of urban areas laying less than\n200m apart\u201d. Those urban areas are defined from land cover classes contributing to the urban tissue and function.\nThe Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones:\n\u2022 Core Classes\no 111 \u2013 Continuous urban fabric\no 112 \u2013 Discontinuous urban fabric\no 121 \u2013 Industrial or commercial units\no 141 \u2013 Green urban areas\n\u2022 Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes.\n\u2022 Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties.\n\u2022 Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact.\n\u2022 Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes.\n\nThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 1990, "abstract": "An urban morphological zone (UMZ) is defined as a \"set of urban areas laying less than 200 m apart\". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-05" }, { "sdiUuid": "8ab00854-d08f-43b1-b78f-447ce13857d1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8ab00854-d08f-43b1-b78f-447ce13857d1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "population|social aspects|urban environment|urban stress", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Morphological Zones 2006 (vector) - version 16, Jun. 2013", "restApi": null, "label": 943, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2006-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ab00854-d08f-43b1-b78f-447ce13857d1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_umz_2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "An Urban Morphological Zone can be defined as \u201cA set of urban areas laying less than\n200m apart\u201d. Those urban areas are defined from land cover classes contributing to the urban tissue and function.\nThe Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones:\n\u2022 Core Classes\no 111 \u2013 Continuous urban fabric\no 112 \u2013 Discontinuous urban fabric\no 121 \u2013 Industrial or commercial units\no 141 \u2013 Green urban areas\n\u2022 Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes.\n\u2022 Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties.\n\u2022 Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact.\n\u2022 Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes.\n\nThe complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "An urban morphological zone (UMZ) is defined as a \"set of urban areas laying less than 200 m apart\". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|United Kingdom", "publicationDate": "2019-06-05" }, { "sdiUuid": "c63f9414-934b-43b3-84d8-f800496469b2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-3_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5-3 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 944, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c63f9414-934b-43b3-84d8-f800496469b2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f5-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d88f79f9-3de7-45fd-b06d-5378697cb271", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-A_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.A distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 945, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d88f79f9-3de7-45fd-b06d-5378697cb271", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "f752152f-2793-4b55-b34f-e4810ae45eff", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4a_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.4a, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 946, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f752152f-2793-4b55-b34f-e4810ae45eff", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-4a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1709\nRegularized training gain: 0.5583\nUnregularized training gain: 0.6435\nIterations: 500\nTraining AUC: 0.8068\n#Test samples: 189\nTest gain: 0.5895\nTest AUC: 0.7929\nAUC Standard Deviation: 0.0152\n#Background points: 11357\nbio_12_etrs2_ras contribution: 21.6615\nbio_15_etrs2_ras contribution: 1.8676\nbio_18_etrs2_ras contribution: 13.583\nbio_4_etrs2_ras contribution: 4.9024\nbio_8_etrs2_ras contribution: 15.5528\ndist2water1km contribution: 0.11\npet_he_yr contribution: 23.9712\nsoil_ph contribution: 16.9529\nsolar_1km contribution: 1.3987\nbio_12_etrs2_ras permutation importance: 20.3085\nbio_15_etrs2_ras permutation importance: 6.2033\nbio_18_etrs2_ras permutation importance: 17.9911\nbio_4_etrs2_ras permutation importance: 12.4366\nbio_8_etrs2_ras permutation importance: 4.3078\ndist2water1km permutation importance: 0.2731\npet_he_yr permutation importance: 28.2613\nsoil_ph permutation importance: 8.931\nsolar_1km permutation importance: 1.2874\nTraining gain without bio_12_etrs2_ras: 0.5443\nTraining gain without bio_15_etrs2_ras: 0.5465\nTraining gain without bio_18_etrs2_ras: 0.5433\nTraining gain without bio_4_etrs2_ras: 0.5302\nTraining gain without bio_8_etrs2_ras: 0.55\nTraining gain without dist2water1km: 0.5575\nTraining gain without pet_he_yr: 0.5181\nTraining gain without soil_ph: 0.5167\nTraining gain without solar_1km: 0.5532\nTraining gain with only bio_12_etrs2_ras: 0.1791\nTraining gain with only bio_15_etrs2_ras: 0.0633\nTraining gain with only bio_18_etrs2_ras: 0.2369\nTraining gain with only bio_4_etrs2_ras: 0.107\nTraining gain with only bio_8_etrs2_ras: 0.2118\nTraining gain with only dist2water1km: 0.0115\nTraining gain with only pet_he_yr: 0.2405\nTraining gain with only soil_ph: 0.1483\nTraining gain with only solar_1km: 0.1471\nTest gain without bio_12_etrs2_ras: 0.5748\nTest gain without bio_15_etrs2_ras: 0.5583\nTest gain without bio_18_etrs2_ras: 0.5767\nTest gain without bio_4_etrs2_ras: 0.5436\nTest gain without bio_8_etrs2_ras: 0.5845\nTest gain without dist2water1km: 0.5938\nTest gain without pet_he_yr: 0.5629\nTest gain without soil_ph: 0.5232\nTest gain without solar_1km: 0.5956\nTest gain with only bio_12_etrs2_ras: 0.1562\nTest gain with only bio_15_etrs2_ras: 0.0871\nTest gain with only bio_18_etrs2_ras: 0.2374\nTest gain with only bio_4_etrs2_ras: 0.1354\nTest gain with only bio_8_etrs2_ras: 0.2268\nTest gain with only dist2water1km: 0.0099\nTest gain with only pet_he_yr: 0.2288\nTest gain with only soil_ph: 0.1865\nTest gain with only solar_1km: 0.1262\nAUC without bio_12_etrs2_ras: 0.7903\nAUC without bio_15_etrs2_ras: 0.7863\nAUC without bio_18_etrs2_ras: 0.7911\nAUC without bio_4_etrs2_ras: 0.7808\nAUC without bio_8_etrs2_ras: 0.7909\nAUC without dist2water1km: 0.7939\nAUC without pet_he_yr: 0.7863\nAUC without soil_ph: 0.7782\nAUC without solar_1km: 0.7946\nAUC with only bio_12_etrs2_ras: 0.6633\nAUC with only bio_15_etrs2_ras: 0.6139\nAUC with only bio_18_etrs2_ras: 0.6804\nAUC with only bio_4_etrs2_ras: 0.6436\nAUC with only bio_8_etrs2_ras: 0.6854\nAUC with only dist2water1km: 0.5118\nAUC with only pet_he_yr: 0.6833\nAUC with only soil_ph: 0.6667\nAUC with only solar_1km: 0.6621\nEntropy: 8.781\nPrevalence (average of logistic output over background sites): 0.2823\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0696\nFixed cumulative value 1 area: 0.8088\nFixed cumulative value 1 training omission: 0.0094\nFixed cumulative value 1 test omission: 0.0159\nFixed cumulative value 1 binomial probability: 4.44E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1631\nFixed cumulative value 5 area: 0.6304\nFixed cumulative value 5 training omission: 0.038\nFixed cumulative value 5 test omission: 0.0582\nFixed cumulative value 5 binomial probability: 3.73E-19\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2415\nFixed cumulative value 10 area: 0.5171\nFixed cumulative value 10 training omission: 0.0772\nFixed cumulative value 10 test omission: 0.1111\nFixed cumulative value 10 binomial probability: 7.44E-25\nMinimum training presence cumulative threshold: 0.0194\nMinimum training presence logistic threshold: 0.0061\nMinimum training presence area: 0.9569\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.75E-03\n10 percentile training presence cumulative threshold: 13.3642\n10 percentile training presence logistic threshold: 0.2785\n10 percentile training presence area: 0.4624\n10 percentile training presence training omission: 0.0995\n10 percentile training presence test omission: 0.1323\n10 percentile training presence binomial probability: 2.63E-29\nEqual training sensitivity and specificity cumulative threshold: 31.7862\nEqual training sensitivity and specificity logistic threshold: 0.4178\nEqual training sensitivity and specificity area: 0.2668\nEqual training sensitivity and specificity training omission: 0.2668\nEqual training sensitivity and specificity test omission: 0.2698\nEqual training sensitivity and specificity binomial probability: 2.48E-47\nMaximum training sensitivity plus specificity cumulative threshold: 23.3077\nMaximum training sensitivity plus specificity logistic threshold: 0.364\nMaximum training sensitivity plus specificity area: 0.3425\nMaximum training sensitivity plus specificity training omission: 0.1802\nMaximum training sensitivity plus specificity test omission: 0.2063\nMaximum training sensitivity plus specificity binomial probability: 2.47E-39\nEqual test sensitivity and specificity cumulative threshold: 31.4235\nEqual test sensitivity and specificity logistic threshold: 0.4163\nEqual test sensitivity and specificity area: 0.2697\nEqual test sensitivity and specificity training omission: 0.2633\nEqual test sensitivity and specificity test omission: 0.2698\nEqual test sensitivity and specificity binomial probability: 1.84E-46\nMaximum test sensitivity plus specificity cumulative threshold: 29.0965\nMaximum test sensitivity plus specificity logistic threshold: 0.4022\nMaximum test sensitivity plus specificity area: 0.2889\nMaximum test sensitivity plus specificity training omission: 0.2405\nMaximum test sensitivity plus specificity test omission: 0.2381\nMaximum test sensitivity plus specificity binomial probability: 5.56E-47\nBalance training omission, predicted area and threshold value cumulative threshold: 1.9181\nBalance training omission, predicted area and threshold value logistic threshold: 0.0968\nBalance training omission, predicted area and threshold value area: 0.751\nBalance training omission, predicted area and threshold value training omission: 0.0158\nBalance training omission, predicted area and threshold value test omission: 0.0317\nBalance training omission, predicted area and threshold value binomial probability: 2.47E-12\nEquate entropy of thresholded and original distributions cumulative threshold: 7.2363\nEquate entropy of thresholded and original distributions logistic threshold: 0.2006\nEquate entropy of thresholded and original distributions area: 0.5731\nEquate entropy of thresholded and original distributions training omission: 0.0632\nEquate entropy of thresholded and original distributions test omission: 0.0899\nEquate entropy of thresholded and original distributions binomial probability: 3.82E-21", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "fd05c41f-ea5d-4493-a983-c92e0f3e717f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-A_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.A, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 947, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fd05c41f-ea5d-4493-a983-c92e0f3e717f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 4750\nRegularized training gain: 0.2383\nUnregularized training gain: 0.2735\nIterations: 500\nTraining AUC: 0.6966\n#Test samples: 527\nTest gain: 0.2587\nTest AUC: 0.6903\nAUC Standard Deviation: 0.0099\n#Background points: 14305\nbio_12_etrs2_ras contribution: 6.7515\nbio_15_etrs2_ras contribution: 2.7453\nbio_18_etrs2_ras contribution: 48.869\nbio_4_etrs2_ras contribution: 6.2496\nbio_8_etrs2_ras contribution: 11.6554\ndist2water1km contribution: 0.0829\npet_he_yr contribution: 7.685\nsoil_ph contribution: 2.5529\nsolar_1km contribution: 13.4084\nbio_12_etrs2_ras permutation importance: 24.9682\nbio_15_etrs2_ras permutation importance: 5.5377\nbio_18_etrs2_ras permutation importance: 42.6219\nbio_4_etrs2_ras permutation importance: 5.0682\nbio_8_etrs2_ras permutation importance: 2.2636\ndist2water1km permutation importance: 0.2125\npet_he_yr permutation importance: 8.127\nsoil_ph permutation importance: 2.3177\nsolar_1km permutation importance: 8.8832\nTraining gain without bio_12_etrs2_ras: 0.2242\nTraining gain without bio_15_etrs2_ras: 0.2314\nTraining gain without bio_18_etrs2_ras: 0.2004\nTraining gain without bio_4_etrs2_ras: 0.2318\nTraining gain without bio_8_etrs2_ras: 0.2367\nTraining gain without dist2water1km: 0.2379\nTraining gain without pet_he_yr: 0.2266\nTraining gain without soil_ph: 0.2336\nTraining gain without solar_1km: 0.2293\nTraining gain with only bio_12_etrs2_ras: 0.0342\nTraining gain with only bio_15_etrs2_ras: 0.033\nTraining gain with only bio_18_etrs2_ras: 0.132\nTraining gain with only bio_4_etrs2_ras: 0.0642\nTraining gain with only bio_8_etrs2_ras: 0.099\nTraining gain with only dist2water1km: 0.006\nTraining gain with only pet_he_yr: 0.0838\nTraining gain with only soil_ph: 0.0189\nTraining gain with only solar_1km: 0.0579\nTest gain without bio_12_etrs2_ras: 0.2428\nTest gain without bio_15_etrs2_ras: 0.247\nTest gain without bio_18_etrs2_ras: 0.2302\nTest gain without bio_4_etrs2_ras: 0.255\nTest gain without bio_8_etrs2_ras: 0.2546\nTest gain without dist2water1km: 0.2591\nTest gain without pet_he_yr: 0.2492\nTest gain without soil_ph: 0.255\nTest gain without solar_1km: 0.2527\nTest gain with only bio_12_etrs2_ras: 0.0349\nTest gain with only bio_15_etrs2_ras: 0.0369\nTest gain with only bio_18_etrs2_ras: 0.1456\nTest gain with only bio_4_etrs2_ras: 0.0768\nTest gain with only bio_8_etrs2_ras: 0.1472\nTest gain with only dist2water1km: 0.007\nTest gain with only pet_he_yr: 0.0862\nTest gain with only soil_ph: 0.0095\nTest gain with only solar_1km: 0.0542\nAUC without bio_12_etrs2_ras: 0.6858\nAUC without bio_15_etrs2_ras: 0.687\nAUC without bio_18_etrs2_ras: 0.6829\nAUC without bio_4_etrs2_ras: 0.6892\nAUC without bio_8_etrs2_ras: 0.6883\nAUC without dist2water1km: 0.6904\nAUC without pet_he_yr: 0.6859\nAUC without soil_ph: 0.6882\nAUC without solar_1km: 0.6897\nAUC with only bio_12_etrs2_ras: 0.5711\nAUC with only bio_15_etrs2_ras: 0.5508\nAUC with only bio_18_etrs2_ras: 0.6282\nAUC with only bio_4_etrs2_ras: 0.6116\nAUC with only bio_8_etrs2_ras: 0.6539\nAUC with only dist2water1km: 0.5509\nAUC with only pet_he_yr: 0.601\nAUC with only soil_ph: 0.5484\nAUC with only solar_1km: 0.5868\nEntropy: 9.3326\nPrevalence (average of logistic output over background sites): 0.3921\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.148\nFixed cumulative value 1 area: 0.8533\nFixed cumulative value 1 training omission: 0.0076\nFixed cumulative value 1 test omission: 0.0114\nFixed cumulative value 1 binomial probability: 8.30E-19\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2831\nFixed cumulative value 5 area: 0.7442\nFixed cumulative value 5 training omission: 0.0307\nFixed cumulative value 5 test omission: 0.0285\nFixed cumulative value 5 binomial probability: 2.85E-33\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3575\nFixed cumulative value 10 area: 0.6617\nFixed cumulative value 10 training omission: 0.0762\nFixed cumulative value 10 test omission: 0.0778\nFixed cumulative value 10 binomial probability: 6.25E-37\nMinimum training presence cumulative threshold: 0.0109\nMinimum training presence logistic threshold: 0.0126\nMinimum training presence area: 0.989\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 7.63E-03\n10 percentile training presence cumulative threshold: 12.2994\n10 percentile training presence logistic threshold: 0.3777\n10 percentile training presence area: 0.6303\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1006\n10 percentile training presence binomial probability: 8.49E-38\nEqual training sensitivity and specificity cumulative threshold: 38.7394\nEqual training sensitivity and specificity logistic threshold: 0.492\nEqual training sensitivity and specificity area: 0.3648\nEqual training sensitivity and specificity training omission: 0.3648\nEqual training sensitivity and specificity test omission: 0.4004\nEqual training sensitivity and specificity binomial probability: 2.12E-29\nMaximum training sensitivity plus specificity cumulative threshold: 23.1555\nMaximum training sensitivity plus specificity logistic threshold: 0.4348\nMaximum training sensitivity plus specificity area: 0.507\nMaximum training sensitivity plus specificity training omission: 0.2019\nMaximum training sensitivity plus specificity test omission: 0.2011\nMaximum training sensitivity plus specificity binomial probability: 2.88E-41\nEqual test sensitivity and specificity cumulative threshold: 37.1415\nEqual test sensitivity and specificity logistic threshold: 0.4872\nEqual test sensitivity and specificity area: 0.378\nEqual test sensitivity and specificity training omission: 0.3476\nEqual test sensitivity and specificity test omission: 0.3776\nEqual test sensitivity and specificity binomial probability: 2.87E-31\nMaximum test sensitivity plus specificity cumulative threshold: 22.2167\nMaximum test sensitivity plus specificity logistic threshold: 0.4316\nMaximum test sensitivity plus specificity area: 0.5167\nMaximum test sensitivity plus specificity training omission: 0.1941\nMaximum test sensitivity plus specificity test omission: 0.1803\nMaximum test sensitivity plus specificity binomial probability: 2.32E-44\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3058\nBalance training omission, predicted area and threshold value logistic threshold: 0.1727\nBalance training omission, predicted area and threshold value area: 0.8407\nBalance training omission, predicted area and threshold value training omission: 0.0082\nBalance training omission, predicted area and threshold value test omission: 0.0114\nBalance training omission, predicted area and threshold value binomial probability: 8.53E-21\nEquate entropy of thresholded and original distributions cumulative threshold: 2.9687\nEquate entropy of thresholded and original distributions logistic threshold: 0.2334\nEquate entropy of thresholded and original distributions area: 0.7899\nEquate entropy of thresholded and original distributions training omission: 0.0175\nEquate entropy of thresholded and original distributions test omission: 0.0171\nEquate entropy of thresholded and original distributions binomial probability: 7.30E-28", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "ab483dcf-40a1-4be1-93fe-d8658e8d68b8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-2_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.2, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 948, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab483dcf-40a1-4be1-93fe-d8658e8d68b8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 517\nRegularized training gain: 2.4022\nUnregularized training gain: 2.4893\nIterations: 500\nTraining AUC: 0.9679\n#Test samples: 57\nTest gain: 2.277\nTest AUC: 0.9613\nAUC Standard Deviation: 0.0039\n#Background points: 10517\nbio_12_etrs2_ras contribution: 58.0386\nbio_15_etrs2_ras contribution: 0.6514\nbio_18_etrs2_ras contribution: 5.9122\nbio_4_etrs2_ras contribution: 18.8005\nbio_8_etrs2_ras contribution: 0.1274\ndist2water1km contribution: 0.4643\npet_he_yr contribution: 15.6623\nsoil_ph contribution: 0.1338\nsolar_1km contribution: 0.2095\nbio_12_etrs2_ras permutation importance: 47.8566\nbio_15_etrs2_ras permutation importance: 1.8005\nbio_18_etrs2_ras permutation importance: 0.4974\nbio_4_etrs2_ras permutation importance: 26.6242\nbio_8_etrs2_ras permutation importance: 0.7586\ndist2water1km permutation importance: 0.6557\npet_he_yr permutation importance: 21.4057\nsoil_ph permutation importance: 0.1723\nsolar_1km permutation importance: 0.2289\nEntropy: 6.8631\nPrevalence (average of logistic output over background sites): 0.0437\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0184\nFixed cumulative value 1 area: 0.1481\nFixed cumulative value 1 training omission: 0.0019\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1303\nFixed cumulative value 5 area: 0.0909\nFixed cumulative value 5 training omission: 0.0271\nFixed cumulative value 5 test omission: 0.1053\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2447\nFixed cumulative value 10 area: 0.0706\nFixed cumulative value 10 training omission: 0.0542\nFixed cumulative value 10 test omission: 0.1053\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.2162\nMinimum training presence logistic threshold: 0.0025\nMinimum training presence area: 0.2431\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 8.77E-41\n10 percentile training presence cumulative threshold: 14.0285\n10 percentile training presence logistic threshold: 0.3129\n10 percentile training presence area: 0.0611\n10 percentile training presence training omission: 0.0986\n10 percentile training presence test omission: 0.1579\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 11.4691\nEqual training sensitivity and specificity logistic threshold: 0.2695\nEqual training sensitivity and specificity area: 0.0668\nEqual training sensitivity and specificity training omission: 0.0677\nEqual training sensitivity and specificity test omission: 0.1228\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.1826\nMaximum training sensitivity plus specificity logistic threshold: 0.2044\nMaximum training sensitivity plus specificity area: 0.0764\nMaximum training sensitivity plus specificity training omission: 0.0348\nMaximum training sensitivity plus specificity test omission: 0.1053\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 4.9612\nEqual test sensitivity and specificity logistic threshold: 0.1296\nEqual test sensitivity and specificity area: 0.0912\nEqual test sensitivity and specificity training omission: 0.0271\nEqual test sensitivity and specificity test omission: 0.0877\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 2.8429\nMaximum test sensitivity plus specificity logistic threshold: 0.0774\nMaximum test sensitivity plus specificity area: 0.1085\nMaximum test sensitivity plus specificity training omission: 0.0097\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.1905\nBalance training omission, predicted area and threshold value logistic threshold: 0.0246\nBalance training omission, predicted area and threshold value area: 0.1401\nBalance training omission, predicted area and threshold value training omission: 0.0019\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 5.0118\nEquate entropy of thresholded and original distributions logistic threshold: 0.1303\nEquate entropy of thresholded and original distributions area: 0.0909\nEquate entropy of thresholded and original distributions training omission: 0.0271\nEquate entropy of thresholded and original distributions test omission: 0.1053\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "120e83fd-1da7-407c-ad3a-935021d9711d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-6_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.6 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 949, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f766707a-0118-4975-81ca-1fe4f66f2679", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "0f34cad3-8a8b-4698-8c73-d5757d14b318", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-5_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5-5 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 951, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f34cad3-8a8b-4698-8c73-d5757d14b318", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f5-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. 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Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ff70800-d237-4ce3-bd01-a0e4d5053ec1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f9-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "ed7ac3a8-4495-4b4c-8e20-9a4042f15475", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4c_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7-4c distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 953, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ed7ac3a8-4495-4b4c-8e20-9a4042f15475", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f7-4c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "54d4ff10-a02a-4090-b063-f8ab3c96ebb0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9b_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.9b, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 954, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54d4ff10-a02a-4090-b063-f8ab3c96ebb0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-9b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 551\nRegularized training gain: 1.6047\nUnregularized training gain: 1.779\nIterations: 500\nTraining AUC: 0.938\n#Test samples: 61\nTest gain: 1.5894\nTest AUC: 0.9235\nAUC Standard Deviation: 0.0074\n#Background points: 10274\nbio_12_etrs2_ras contribution: 1.7246\nbio_15_etrs2_ras contribution: 4.5698\nbio_18_etrs2_ras contribution: 59.8598\nbio_4_etrs2_ras contribution: 3.0765\nbio_8_etrs2_ras contribution: 6.6394\ndist2water1km contribution: 4.6239\npet_he_yr contribution: 12.6501\nsoil_ph contribution: 4.9473\nsolar_1km contribution: 1.9085\nbio_12_etrs2_ras permutation importance: 4.663\nbio_15_etrs2_ras permutation importance: 7.0067\nbio_18_etrs2_ras permutation importance: 68.5827\nbio_4_etrs2_ras permutation importance: 2.3029\nbio_8_etrs2_ras permutation importance: 5.5913\ndist2water1km permutation importance: 2.5289\npet_he_yr permutation importance: 5.7074\nsoil_ph permutation importance: 2.2444\nsolar_1km permutation importance: 1.3729\nTraining gain without bio_12_etrs2_ras: 1.5757\nTraining gain without bio_15_etrs2_ras: 1.5485\nTraining gain without bio_18_etrs2_ras: 1.5242\nTraining gain without bio_4_etrs2_ras: 1.5871\nTraining gain without bio_8_etrs2_ras: 1.591\nTraining gain without dist2water1km: 1.5506\nTraining gain without pet_he_yr: 1.5634\nTraining gain without soil_ph: 1.5682\nTraining gain without solar_1km: 1.587\nTraining gain with only bio_12_etrs2_ras: 0.2283\nTraining gain with only bio_15_etrs2_ras: 0.3311\nTraining gain with only bio_18_etrs2_ras: 1.1116\nTraining gain with only bio_4_etrs2_ras: 0.3341\nTraining gain with only bio_8_etrs2_ras: 0.5807\nTraining gain with only dist2water1km: 0.271\nTraining gain with only pet_he_yr: 0.7354\nTraining gain with only soil_ph: 0.4561\nTraining gain with only solar_1km: 0.065\nTest gain without bio_12_etrs2_ras: 1.5697\nTest gain without bio_15_etrs2_ras: 1.5186\nTest gain without bio_18_etrs2_ras: 1.527\nTest gain without bio_4_etrs2_ras: 1.5532\nTest gain without bio_8_etrs2_ras: 1.5712\nTest gain without dist2water1km: 1.5316\nTest gain without pet_he_yr: 1.5343\nTest gain without soil_ph: 1.5744\nTest gain without solar_1km: 1.6178\nTest gain with only bio_12_etrs2_ras: 0.3124\nTest gain with only bio_15_etrs2_ras: 0.3377\nTest gain with only bio_18_etrs2_ras: 1.2686\nTest gain with only bio_4_etrs2_ras: 0.4335\nTest gain with only bio_8_etrs2_ras: 0.4994\nTest gain with only dist2water1km: 0.2666\nTest gain with only pet_he_yr: 0.8347\nTest gain with only soil_ph: 0.3684\nTest gain with only solar_1km: 0.0587\nAUC without bio_12_etrs2_ras: 0.9222\nAUC without bio_15_etrs2_ras: 0.9186\nAUC without bio_18_etrs2_ras: 0.9182\nAUC without bio_4_etrs2_ras: 0.9202\nAUC without bio_8_etrs2_ras: 0.922\nAUC without dist2water1km: 0.9177\nAUC without pet_he_yr: 0.9196\nAUC without soil_ph: 0.9236\nAUC without solar_1km: 0.9265\nAUC with only bio_12_etrs2_ras: 0.7167\nAUC with only bio_15_etrs2_ras: 0.7104\nAUC with only bio_18_etrs2_ras: 0.8877\nAUC with only bio_4_etrs2_ras: 0.7548\nAUC with only bio_8_etrs2_ras: 0.748\nAUC with only dist2water1km: 0.6277\nAUC with only pet_he_yr: 0.8383\nAUC with only soil_ph: 0.7267\nAUC with only solar_1km: 0.5968\nEntropy: 7.6441\nPrevalence (average of logistic output over background sites): 0.0991\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.02\nFixed cumulative value 1 area: 0.3258\nFixed cumulative value 1 training omission: 0.0018\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.36E-29\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1642\nFixed cumulative value 5 area: 0.2104\nFixed cumulative value 5 training omission: 0.0236\nFixed cumulative value 5 test omission: 0.0164\nFixed cumulative value 5 binomial probability: 5.90E-50\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2704\nFixed cumulative value 10 area: 0.1737\nFixed cumulative value 10 training omission: 0.0472\nFixed cumulative value 10 test omission: 0.0328\nFixed cumulative value 10 binomial probability: 1.96E-60\nMinimum training presence cumulative threshold: 0.0336\nMinimum training presence logistic threshold: 0.0006\nMinimum training presence area: 0.6798\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.15E-08\n10 percentile training presence cumulative threshold: 15.8236\n10 percentile training presence logistic threshold: 0.3356\n10 percentile training presence area: 0.147\n10 percentile training presence training omission: 0.098\n10 percentile training presence test omission: 0.1311\n10 percentile training presence binomial probability: 2.19E-57\nEqual training sensitivity and specificity cumulative threshold: 20.1452\nEqual training sensitivity and specificity logistic threshold: 0.3631\nEqual training sensitivity and specificity area: 0.1307\nEqual training sensitivity and specificity training omission: 0.1307\nEqual training sensitivity and specificity test omission: 0.2131\nEqual training sensitivity and specificity binomial probability: 1.69E-52\nMaximum training sensitivity plus specificity cumulative threshold: 10.3567\nMaximum training sensitivity plus specificity logistic threshold: 0.2792\nMaximum training sensitivity plus specificity area: 0.1718\nMaximum training sensitivity plus specificity training omission: 0.0472\nMaximum training sensitivity plus specificity test omission: 0.0492\nMaximum training sensitivity plus specificity binomial probability: 7.80E-59\nEqual test sensitivity and specificity cumulative threshold: 16.6824\nEqual test sensitivity and specificity logistic threshold: 0.3426\nEqual test sensitivity and specificity area: 0.1437\nEqual test sensitivity and specificity training omission: 0.1125\nEqual test sensitivity and specificity test omission: 0.1475\nEqual test sensitivity and specificity binomial probability: 2.04E-56\nMaximum test sensitivity plus specificity cumulative threshold: 7.834\nMaximum test sensitivity plus specificity logistic threshold: 0.23\nMaximum test sensitivity plus specificity area: 0.1869\nMaximum test sensitivity plus specificity training omission: 0.0381\nMaximum test sensitivity plus specificity test omission: 0.0164\nMaximum test sensitivity plus specificity binomial probability: 1.16E-57\nBalance training omission, predicted area and threshold value cumulative threshold: 2.1949\nBalance training omission, predicted area and threshold value logistic threshold: 0.0642\nBalance training omission, predicted area and threshold value area: 0.2575\nBalance training omission, predicted area and threshold value training omission: 0.0018\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 1.95E-40\nEquate entropy of thresholded and original distributions cumulative threshold: 5.7446\nEquate entropy of thresholded and original distributions logistic threshold: 0.1792\nEquate entropy of thresholded and original distributions area: 0.2032\nEquate entropy of thresholded and original distributions training omission: 0.0236\nEquate entropy of thresholded and original distributions test omission: 0.0164\nEquate entropy of thresholded and original distributions binomial probability: 4.01E-52", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "3987be0d-8358-4677-a5ed-c15162079bea", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.1a distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 955, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3987be0d-8358-4677-a5ed-c15162079bea", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "209c0933-b2b2-458a-b414-9512b2c3ee42", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2.1, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 956, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/209c0933-b2b2-458a-b414-9512b2c3ee42", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f2-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 450\nRegularized training gain: 1.9963\nUnregularized training gain: 2.1532\nIterations: 500\nTraining AUC: 0.9564\n#Test samples: 49\nTest gain: 1.848\nTest AUC: 0.9398\nAUC Standard Deviation: 0.0099\n#Background points: 5208\nbio_12_etrs2_ras contribution: 0.6612\nbio_15_etrs2_ras contribution: 1.1556\nbio_18_etrs2_ras contribution: 7.7665\nbio_4_etrs2_ras contribution: 0.5363\nbio_8_etrs2_ras contribution: 0.5955\nbld_m_sd1_1km_eu_ll contribution: 0.162\ncecsum_m_sd1_1km_eu_ll contribution: 3.4397\nclyppt_m_sd1_1km_eu_ll contribution: 1.2574\ncrfvol_m_sd1_1km_eu_ll contribution: 1.2559\ndist2water1km contribution: 0.0459\norcdrc_m_sd1_1km_eu_ll contribution: 0.2008\npet_he_yr contribution: 63.9081\nsltppt_m_sd1_1km_eu_ll contribution: 0.4298\nsndppt_m_sd1_1km_eu_ll contribution: 1.7674\nsolar_1km contribution: 16.818\nbio_12_etrs2_ras permutation importance: 9.0678\nbio_15_etrs2_ras permutation importance: 1.0445\nbio_18_etrs2_ras permutation importance: 6.1868\nbio_4_etrs2_ras permutation importance: 2.9482\nbio_8_etrs2_ras permutation importance: 0.963\nbld_m_sd1_1km_eu_ll permutation importance: 0.3476\ncecsum_m_sd1_1km_eu_ll permutation importance: 4.1786\nclyppt_m_sd1_1km_eu_ll permutation importance: 3.5105\ncrfvol_m_sd1_1km_eu_ll permutation importance: 1.2313\ndist2water1km permutation importance: 0.4094\norcdrc_m_sd1_1km_eu_ll permutation importance: 2.252\npet_he_yr permutation importance: 56.9659\nsltppt_m_sd1_1km_eu_ll permutation importance: 1.278\nsndppt_m_sd1_1km_eu_ll permutation importance: 5.6766\nsolar_1km permutation importance: 3.9398\nTraining gain without bio_12_etrs2_ras: 1.9797\nTraining gain without bio_15_etrs2_ras: 1.9833\nTraining gain without bio_18_etrs2_ras: 1.9839\nTraining gain without bio_4_etrs2_ras: 1.9836\nTraining gain without bio_8_etrs2_ras: 1.9938\nTraining gain without bld_m_sd1_1km_eu_ll: 1.9945\nTraining gain without cecsum_m_sd1_1km_eu_ll: 1.9856\nTraining gain without clyppt_m_sd1_1km_eu_ll: 1.9781\nTraining gain without crfvol_m_sd1_1km_eu_ll: 1.9886\nTraining gain without dist2water1km: 1.9977\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.9948\nTraining gain without pet_he_yr: 1.8636\nTraining gain without sltppt_m_sd1_1km_eu_ll: 1.9923\nTraining gain without sndppt_m_sd1_1km_eu_ll: 1.9885\nTraining gain without solar_1km: 1.9873\nTraining gain with only bio_12_etrs2_ras: 1.0985\nTraining gain with only bio_15_etrs2_ras: 0.4773\nTraining gain with only bio_18_etrs2_ras: 1.1407\nTraining gain with only bio_4_etrs2_ras: 0.3458\nTraining gain with only bio_8_etrs2_ras: 0.6267\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.8155\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 1.0129\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.4152\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.7608\nTraining gain with only dist2water1km: 0.1826\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.7832\nTraining gain with only pet_he_yr: 1.6746\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.474\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.879\nTraining gain with only solar_1km: 1.1885\nTest gain without bio_12_etrs2_ras: 1.8094\nTest gain without bio_15_etrs2_ras: 1.8271\nTest gain without bio_18_etrs2_ras: 1.837\nTest gain without bio_4_etrs2_ras: 1.8238\nTest gain without bio_8_etrs2_ras: 1.8478\nTest gain without bld_m_sd1_1km_eu_ll: 1.8473\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.8665\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.8348\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.8463\nTest gain without dist2water1km: 1.8485\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.8601\nTest gain without pet_he_yr: 1.8003\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.8503\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.9392\nTest gain without solar_1km: 1.8294\nTest gain with only bio_12_etrs2_ras: 1.2271\nTest gain with only bio_15_etrs2_ras: 0.5735\nTest gain with only bio_18_etrs2_ras: 1.0485\nTest gain with only bio_4_etrs2_ras: 0.2636\nTest gain with only bio_8_etrs2_ras: 0.744\nTest gain with only bld_m_sd1_1km_eu_ll: 0.8923\nTest gain with only cecsum_m_sd1_1km_eu_ll: 1.232\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.4895\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.8688\nTest gain with only dist2water1km: 0.2424\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.8698\nTest gain with only pet_he_yr: 1.5794\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.4824\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.7106\nTest gain with only solar_1km: 1.3587\nAUC without bio_12_etrs2_ras: 0.9379\nAUC without bio_15_etrs2_ras: 0.9392\nAUC without bio_18_etrs2_ras: 0.9398\nAUC without bio_4_etrs2_ras: 0.9383\nAUC without bio_8_etrs2_ras: 0.9399\nAUC without bld_m_sd1_1km_eu_ll: 0.9402\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9409\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9396\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9397\nAUC without dist2water1km: 0.9401\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9404\nAUC without pet_he_yr: 0.937\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9407\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9445\nAUC without solar_1km: 0.9384\nAUC with only bio_12_etrs2_ras: 0.8903\nAUC with only bio_15_etrs2_ras: 0.7946\nAUC with only bio_18_etrs2_ras: 0.8745\nAUC with only bio_4_etrs2_ras: 0.6871\nAUC with only bio_8_etrs2_ras: 0.8101\nAUC with only bld_m_sd1_1km_eu_ll: 0.8209\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.8895\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.7415\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.8427\nAUC with only dist2water1km: 0.6933\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.8379\nAUC with only pet_he_yr: 0.9222\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.7564\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.8291\nAUC with only solar_1km: 0.9044\nEntropy: 6.5721\nPrevalence (average of logistic output over background sites): 0.0665\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0208\nFixed cumulative value 1 area: 0.236\nFixed cumulative value 1 training omission: 0.0067\nFixed cumulative value 1 test omission: 0.0204\nFixed cumulative value 1 binomial probability: 7.53E-35\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1294\nFixed cumulative value 5 area: 0.1517\nFixed cumulative value 5 training omission: 0.0178\nFixed cumulative value 5 test omission: 0.1224\nFixed cumulative value 5 binomial probability: 7.61E-46\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2127\nFixed cumulative value 10 area: 0.1187\nFixed cumulative value 10 training omission: 0.0622\nFixed cumulative value 10 test omission: 0.1633\nFixed cumulative value 10 binomial probability: 8.87E-55\nMinimum training presence cumulative threshold: 0.1255\nMinimum training presence logistic threshold: 0.0014\nMinimum training presence area: 0.4384\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.16E-15\n10 percentile training presence cumulative threshold: 15.1848\n10 percentile training presence logistic threshold: 0.2834\n10 percentile training presence area: 0.0966\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.2245\n10 percentile training presence binomial probability: 1.52E-58\nEqual training sensitivity and specificity cumulative threshold: 14.9092\nEqual training sensitivity and specificity logistic threshold: 0.2821\nEqual training sensitivity and specificity area: 0.0977\nEqual training sensitivity and specificity training omission: 0.0978\nEqual training sensitivity and specificity test omission: 0.2245\nEqual training sensitivity and specificity binomial probability: 9.25E-58\nMaximum training sensitivity plus specificity cumulative threshold: 6.7873\nMaximum training sensitivity plus specificity logistic threshold: 0.161\nMaximum training sensitivity plus specificity area: 0.1379\nMaximum training sensitivity plus specificity training omission: 0.0244\nMaximum training sensitivity plus specificity test omission: 0.1224\nMaximum training sensitivity plus specificity binomial probability: 2.77E-51\nEqual test sensitivity and specificity cumulative threshold: 7.9141\nEqual test sensitivity and specificity logistic threshold: 0.1765\nEqual test sensitivity and specificity area: 0.1302\nEqual test sensitivity and specificity training omission: 0.0356\nEqual test sensitivity and specificity test omission: 0.1224\nEqual test sensitivity and specificity binomial probability: 8.37E-55\nMaximum test sensitivity plus specificity cumulative threshold: 1.4623\nMaximum test sensitivity plus specificity logistic threshold: 0.0341\nMaximum test sensitivity plus specificity area: 0.2129\nMaximum test sensitivity plus specificity training omission: 0.0111\nMaximum test sensitivity plus specificity test omission: 0.0204\nMaximum test sensitivity plus specificity binomial probability: 1.47E-39\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3547\nBalance training omission, predicted area and threshold value logistic threshold: 0.0316\nBalance training omission, predicted area and threshold value area: 0.2174\nBalance training omission, predicted area and threshold value training omission: 0.0067\nBalance training omission, predicted area and threshold value test omission: 0.0204\nBalance training omission, predicted area and threshold value binomial probability: 1.40E-38\nEquate entropy of thresholded and original distributions cumulative threshold: 6.9218\nEquate entropy of thresholded and original distributions logistic threshold: 0.1614\nEquate entropy of thresholded and original distributions area: 0.1371\nEquate entropy of thresholded and original distributions training omission: 0.0267\nEquate entropy of thresholded and original distributions test omission: 0.1224\nEquate entropy of thresholded and original distributions binomial probability: 1.28E-51", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "2c8227af-07fb-472f-ab49-593c611727be", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1b_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6.1b, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 957, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c8227af-07fb-472f-ab49-593c611727be", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f6-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 65\nRegularized training gain: 2.5296\nUnregularized training gain: 2.8127\nIterations: 500\nTraining AUC: 0.9756\n#Test samples: 7\nTest gain: 1.6606\nTest AUC: 0.9415\nAUC Standard Deviation: 0.0193\n#Background points: 5047\nbio_12_etrs2_ras contribution: 0.8398\nbio_15_etrs2_ras contribution: 13.5536\nbio_18_etrs2_ras contribution: 49.1645\nbio_4_etrs2_ras contribution: 2.1301\nbio_8_etrs2_ras contribution: 2.3443\nbld_m_sd1_1km_eu_ll contribution: 5.8124\ncecsum_m_sd1_1km_eu_ll contribution: 0.14\nclyppt_m_sd1_1km_eu_ll contribution: 6.2395\ncrfvol_m_sd1_1km_eu_ll contribution: 1.9674\ndist2water1km contribution: 0.0443\norcdrc_m_sd1_1km_eu_ll contribution: 0.076\npet_he_yr contribution: 16.0585\nsltppt_m_sd1_1km_eu_ll contribution: 0.3234\nsndppt_m_sd1_1km_eu_ll contribution: 0.4292\nsolar_1km contribution: 0.8768\nbio_12_etrs2_ras permutation importance: 3.5449\nbio_15_etrs2_ras permutation importance: 5.8264\nbio_18_etrs2_ras permutation importance: 75.1605\nbio_4_etrs2_ras permutation importance: 3.813\nbio_8_etrs2_ras permutation importance: 0.5864\nbld_m_sd1_1km_eu_ll permutation importance: 4.6429\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.1711\nclyppt_m_sd1_1km_eu_ll permutation importance: 2.6928\ncrfvol_m_sd1_1km_eu_ll permutation importance: 1.5463\ndist2water1km permutation importance: 0.0366\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.0151\npet_he_yr permutation importance: 0.4666\nsltppt_m_sd1_1km_eu_ll permutation importance: 0\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.5836\nsolar_1km permutation importance: 0.9138\nTraining gain without bio_12_etrs2_ras: 2.4758\nTraining gain without bio_15_etrs2_ras: 2.3924\nTraining gain without bio_18_etrs2_ras: 2.4288\nTraining gain without bio_4_etrs2_ras: 2.4848\nTraining gain without bio_8_etrs2_ras: 2.5206\nTraining gain without bld_m_sd1_1km_eu_ll: 2.4941\nTraining gain without cecsum_m_sd1_1km_eu_ll: 2.5224\nTraining gain without clyppt_m_sd1_1km_eu_ll: 2.4834\nTraining gain without crfvol_m_sd1_1km_eu_ll: 2.491\nTraining gain without dist2water1km: 2.5283\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.5274\nTraining gain without pet_he_yr: 2.521\nTraining gain without sltppt_m_sd1_1km_eu_ll: 2.529\nTraining gain without sndppt_m_sd1_1km_eu_ll: 2.5081\nTraining gain without solar_1km: 2.5181\nTraining gain with only bio_12_etrs2_ras: 0.5483\nTraining gain with only bio_15_etrs2_ras: 0.8073\nTraining gain with only bio_18_etrs2_ras: 1.7667\nTraining gain with only bio_4_etrs2_ras: 0.1536\nTraining gain with only bio_8_etrs2_ras: 0.283\nTraining gain with only bld_m_sd1_1km_eu_ll: 1.2828\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.4173\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.3192\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.2936\nTraining gain with only dist2water1km: 0.0018\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.4465\nTraining gain with only pet_he_yr: 1.5753\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.2119\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.2175\nTraining gain with only solar_1km: 0.1541\nTest gain without bio_12_etrs2_ras: 1.9191\nTest gain without bio_15_etrs2_ras: 1.5168\nTest gain without bio_18_etrs2_ras: 1.8359\nTest gain without bio_4_etrs2_ras: 1.6436\nTest gain without bio_8_etrs2_ras: 1.6716\nTest gain without bld_m_sd1_1km_eu_ll: 1.8202\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.6544\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.7754\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.6975\nTest gain without dist2water1km: 1.7033\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.7371\nTest gain without pet_he_yr: 1.6996\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.6819\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.7197\nTest gain without solar_1km: 1.6934\nTest gain with only bio_12_etrs2_ras: 1.003\nTest gain with only bio_15_etrs2_ras: 0.7312\nTest gain with only bio_18_etrs2_ras: 1.585\nTest gain with only bio_4_etrs2_ras: 0.2388\nTest gain with only bio_8_etrs2_ras: 0.4073\nTest gain with only bld_m_sd1_1km_eu_ll: 1.4061\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.5818\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.1176\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.0725\nTest gain with only dist2water1km: -0.0004\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.5066\nTest gain with only pet_he_yr: 1.3987\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.0995\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.0082\nTest gain with only solar_1km: 0.0367\nAUC without bio_12_etrs2_ras: 0.951\nAUC without bio_15_etrs2_ras: 0.9281\nAUC without bio_18_etrs2_ras: 0.9508\nAUC without bio_4_etrs2_ras: 0.9412\nAUC without bio_8_etrs2_ras: 0.9432\nAUC without bld_m_sd1_1km_eu_ll: 0.9478\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9422\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9461\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9411\nAUC without dist2water1km: 0.9441\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9439\nAUC without pet_he_yr: 0.944\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9424\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9422\nAUC without solar_1km: 0.9422\nAUC with only bio_12_etrs2_ras: 0.8955\nAUC with only bio_15_etrs2_ras: 0.832\nAUC with only bio_18_etrs2_ras: 0.9267\nAUC with only bio_4_etrs2_ras: 0.6579\nAUC with only bio_8_etrs2_ras: 0.8095\nAUC with only bld_m_sd1_1km_eu_ll: 0.9176\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.7989\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.5891\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.6288\nAUC with only dist2water1km: 0.4837\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7726\nAUC with only pet_he_yr: 0.9075\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.557\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.5491\nAUC with only solar_1km: 0.5493\nEntropy: 6.0094\nPrevalence (average of logistic output over background sites): 0.0386\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.012\nFixed cumulative value 1 area: 0.2407\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 4.69E-05\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0647\nFixed cumulative value 5 area: 0.1328\nFixed cumulative value 5 training omission: 0.0308\nFixed cumulative value 5 test omission: 0.1429\nFixed cumulative value 5 binomial probability: 3.39E-05\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1269\nFixed cumulative value 10 area: 0.0933\nFixed cumulative value 10 training omission: 0.0615\nFixed cumulative value 10 test omission: 0.2857\nFixed cumulative value 10 binomial probability: 1.27E-04\nMinimum training presence cumulative threshold: 1.7247\nMinimum training presence logistic threshold: 0.0194\nMinimum training presence area: 0.2033\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.43E-05\n10 percentile training presence cumulative threshold: 15.3937\n10 percentile training presence logistic threshold: 0.1798\n10 percentile training presence area: 0.0684\n10 percentile training presence training omission: 0.0923\n10 percentile training presence test omission: 0.2857\n10 percentile training presence binomial probability: 2.79E-05\nEqual training sensitivity and specificity cumulative threshold: 13.2309\nEqual training sensitivity and specificity logistic threshold: 0.1564\nEqual training sensitivity and specificity area: 0.0771\nEqual training sensitivity and specificity training omission: 0.0769\nEqual training sensitivity and specificity test omission: 0.2857\nEqual training sensitivity and specificity binomial probability: 5.00E-05\nMaximum training sensitivity plus specificity cumulative threshold: 11.6114\nMaximum training sensitivity plus specificity logistic threshold: 0.1352\nMaximum training sensitivity plus specificity area: 0.0846\nMaximum training sensitivity plus specificity training omission: 0.0615\nMaximum training sensitivity plus specificity test omission: 0.2857\nMaximum training sensitivity plus specificity binomial probability: 7.87E-05\nEqual test sensitivity and specificity cumulative threshold: 4.2418\nEqual test sensitivity and specificity logistic threshold: 0.052\nEqual test sensitivity and specificity area: 0.1429\nEqual test sensitivity and specificity training omission: 0.0308\nEqual test sensitivity and specificity test omission: 0.1429\nEqual test sensitivity and specificity binomial probability: 5.22E-05\nMaximum test sensitivity plus specificity cumulative threshold: 4.0498\nMaximum test sensitivity plus specificity logistic threshold: 0.0507\nMaximum test sensitivity plus specificity area: 0.1456\nMaximum test sensitivity plus specificity training omission: 0.0308\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.39E-06\nBalance training omission, predicted area and threshold value cumulative threshold: 1.7247\nBalance training omission, predicted area and threshold value logistic threshold: 0.0194\nBalance training omission, predicted area and threshold value area: 0.2033\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 1.43E-05\nEquate entropy of thresholded and original distributions cumulative threshold: 12.4495\nEquate entropy of thresholded and original distributions logistic threshold: 0.1453\nEquate entropy of thresholded and original distributions area: 0.0806\nEquate entropy of thresholded and original distributions training omission: 0.0769\nEquate entropy of thresholded and original distributions test omission: 0.2857\nEquate entropy of thresholded and original distributions binomial probability: 6.23E-05", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Predictions in the east Mediterranean area should be ignored.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "4e5fa870-cd3b-4b2b-aceb-c1bbb80fcf5d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-3_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7.3, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 958, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4e5fa870-cd3b-4b2b-aceb-c1bbb80fcf5d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f7-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 54\nRegularized training gain: 3.6547\nUnregularized training gain: 3.9416\nIterations: 500\nTraining AUC: 0.9935\n#Test samples: 5\nTest gain: 3.456\nTest AUC: 0.9902\nAUC Standard Deviation: 0.002\n#Background points: 5054\nbio_12_etrs2_ras contribution: 0\nbio_15_etrs2_ras contribution: 49.1531\nbio_18_etrs2_ras contribution: 23.7552\nbio_4_etrs2_ras contribution: 13.0809\nbio_8_etrs2_ras contribution: 0.1344\nbld_m_sd1_1km_eu_ll contribution: 0.1621\ncecsum_m_sd1_1km_eu_ll contribution: 0.0163\nclyppt_m_sd1_1km_eu_ll contribution: 1.3448\ncrfvol_m_sd1_1km_eu_ll contribution: 0.2328\ndist2water1km contribution: 0.0032\norcdrc_m_sd1_1km_eu_ll contribution: 1.0544\npet_he_yr contribution: 10.193\nphihox_m_sd1_1km_eu_ll contribution: 0.6572\nsltppt_m_sd1_1km_eu_ll contribution: 0.0147\nsndppt_m_sd1_1km_eu_ll contribution: 0.0856\nsolar_1km contribution: 0.1124\nbio_12_etrs2_ras permutation importance: 0\nbio_15_etrs2_ras permutation importance: 66.3024\nbio_18_etrs2_ras permutation importance: 0.1262\nbio_4_etrs2_ras permutation importance: 23.4347\nbio_8_etrs2_ras permutation importance: 0.3119\nbld_m_sd1_1km_eu_ll permutation importance: 0.1595\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.0405\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.0262\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.6285\ndist2water1km permutation importance: 0\norcdrc_m_sd1_1km_eu_ll permutation importance: 1.2308\npet_he_yr permutation importance: 2.7829\nphihox_m_sd1_1km_eu_ll permutation importance: 3.6757\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.8761\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.0595\nsolar_1km permutation importance: 0.3452\nEntropy: 4.8843\nPrevalence (average of logistic output over background sites): 0.0121\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0036\nFixed cumulative value 1 area: 0.1173\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.22E-05\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0458\nFixed cumulative value 5 area: 0.0386\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 8.55E-08\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1365\nFixed cumulative value 10 area: 0.0239\nFixed cumulative value 10 training omission: 0\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 7.87E-09\nMinimum training presence cumulative threshold: 12.7992\nMinimum training presence logistic threshold: 0.1708\nMinimum training presence area: 0.0198\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.03E-09\n10 percentile training presence cumulative threshold: 19.3516\n10 percentile training presence logistic threshold: 0.2726\n10 percentile training presence area: 0.014\n10 percentile training presence training omission: 0.0926\n10 percentile training presence test omission: 0.2\n10 percentile training presence binomial probability: 1.93E-07\nEqual training sensitivity and specificity cumulative threshold: 13.1147\nEqual training sensitivity and specificity logistic threshold: 0.1738\nEqual training sensitivity and specificity area: 0.0194\nEqual training sensitivity and specificity training omission: 0.0185\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 2.74E-09\nMaximum training sensitivity plus specificity cumulative threshold: 12.7992\nMaximum training sensitivity plus specificity logistic threshold: 0.1708\nMaximum training sensitivity plus specificity area: 0.0198\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 3.03E-09\nEqual test sensitivity and specificity cumulative threshold: 15.5867\nEqual test sensitivity and specificity logistic threshold: 0.2255\nEqual test sensitivity and specificity area: 0.0168\nEqual test sensitivity and specificity training omission: 0.037\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 1.35E-09\nMaximum test sensitivity plus specificity cumulative threshold: 15.5867\nMaximum test sensitivity plus specificity logistic threshold: 0.2255\nMaximum test sensitivity plus specificity area: 0.0168\nMaximum test sensitivity plus specificity training omission: 0.037\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.35E-09\nBalance training omission, predicted area and threshold value cumulative threshold: 2.0977\nBalance training omission, predicted area and threshold value logistic threshold: 0.0103\nBalance training omission, predicted area and threshold value area: 0.073\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.08E-06\nEquate entropy of thresholded and original distributions cumulative threshold: 8.8366\nEquate entropy of thresholded and original distributions logistic threshold: 0.1086\nEquate entropy of thresholded and original distributions area: 0.0261\nEquate entropy of thresholded and original distributions training omission: 0\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 1.21E-08", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in the Iberian Penissula should be ignored.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "9e8b6972-c8c8-4472-b9fe-e110f3fd9454", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-3_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2-3 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 959, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e8b6972-c8c8-4472-b9fe-e110f3fd9454", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f2-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "215c61aa-8148-43d8-be5b-a8033855b936", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-7_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.7 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 960, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/215c61aa-8148-43d8-be5b-a8033855b936", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "0394dfb5-d2a3-4025-ba26-af6cf5ea8b9c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9.1b, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 961, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0394dfb5-d2a3-4025-ba26-af6cf5ea8b9c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f9-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 484\nRegularized training gain: 1.4009\nUnregularized training gain: 1.5753\nIterations: 500\nTraining AUC: 0.9273\n#Test samples: 53\nTest gain: 1.6385\nTest AUC: 0.9289\nAUC Standard Deviation: 0.012\n#Background points: 5484\nbio_12_etrs2_ras contribution: 0.8483\nbio_15_etrs2_ras contribution: 0.336\nbio_18_etrs2_ras contribution: 18.0478\nbio_4_etrs2_ras contribution: 35.7082\nbio_8_etrs2_ras contribution: 0.4779\nbld_m_sd1_1km_eu_ll contribution: 12.7256\ncecsum_m_sd1_1km_eu_ll contribution: 0.3013\nclyppt_m_sd1_1km_eu_ll contribution: 0.1545\ncrfvol_m_sd1_1km_eu_ll contribution: 0.3478\ndist2water1km contribution: 16.3982\norcdrc_m_sd1_1km_eu_ll contribution: 0\npet_he_yr contribution: 4.7908\nphihox_m_sd1_1km_eu_ll contribution: 2.9534\nsltppt_m_sd1_1km_eu_ll contribution: 1.3926\nsndppt_m_sd1_1km_eu_ll contribution: 0.6835\nsolar_1km contribution: 4.8341\nbio_12_etrs2_ras permutation importance: 0.0724\nbio_15_etrs2_ras permutation importance: 0.593\nbio_18_etrs2_ras permutation importance: 24.5289\nbio_4_etrs2_ras permutation importance: 41.2521\nbio_8_etrs2_ras permutation importance: 0.9112\nbld_m_sd1_1km_eu_ll permutation importance: 8.3914\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.249\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.5177\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.7012\ndist2water1km permutation importance: 4.949\norcdrc_m_sd1_1km_eu_ll permutation importance: 0\npet_he_yr permutation importance: 5.7634\nphihox_m_sd1_1km_eu_ll permutation importance: 3.5251\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.378\nsndppt_m_sd1_1km_eu_ll permutation importance: 3.2679\nsolar_1km permutation importance: 3.8996\nEntropy: 7.2118\nPrevalence (average of logistic output over background sites): 0.1205\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0323\nFixed cumulative value 1 area: 0.4004\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.59E-19\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1365\nFixed cumulative value 5 area: 0.2903\nFixed cumulative value 5 training omission: 0.0145\nFixed cumulative value 5 test omission: 0.0377\nFixed cumulative value 5 binomial probability: 2.20E-27\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2026\nFixed cumulative value 10 area: 0.2294\nFixed cumulative value 10 training omission: 0.0413\nFixed cumulative value 10 test omission: 0.0377\nFixed cumulative value 10 binomial probability: 3.36E-37\nMinimum training presence cumulative threshold: 1.2939\nMinimum training presence logistic threshold: 0.0454\nMinimum training presence area: 0.3822\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0189\nMinimum training presence binomial probability: 1.44E-19\n10 percentile training presence cumulative threshold: 19.7143\n10 percentile training presence logistic threshold: 0.3065\n10 percentile training presence area: 0.1583\n10 percentile training presence training omission: 0.0992\n10 percentile training presence test omission: 0.1321\n10 percentile training presence binomial probability: 8.80E-46\nEqual training sensitivity and specificity cumulative threshold: 23.7832\nEqual training sensitivity and specificity logistic threshold: 0.3461\nEqual training sensitivity and specificity area: 0.1377\nEqual training sensitivity and specificity training omission: 0.1384\nEqual training sensitivity and specificity test omission: 0.1321\nEqual training sensitivity and specificity binomial probability: 5.19E-54\nMaximum training sensitivity plus specificity cumulative threshold: 14.3851\nMaximum training sensitivity plus specificity logistic threshold: 0.2532\nMaximum training sensitivity plus specificity area: 0.1926\nMaximum training sensitivity plus specificity training omission: 0.064\nMaximum training sensitivity plus specificity test omission: 0.0943\nMaximum training sensitivity plus specificity binomial probability: 6.90E-40\nEqual test sensitivity and specificity cumulative threshold: 24.9737\nEqual test sensitivity and specificity logistic threshold: 0.3543\nEqual test sensitivity and specificity area: 0.132\nEqual test sensitivity and specificity training omission: 0.1467\nEqual test sensitivity and specificity test omission: 0.1321\nEqual test sensitivity and specificity binomial probability: 1.02E-56\nMaximum test sensitivity plus specificity cumulative threshold: 25.8445\nMaximum test sensitivity plus specificity logistic threshold: 0.3651\nMaximum test sensitivity plus specificity area: 0.1282\nMaximum test sensitivity plus specificity training omission: 0.1591\nMaximum test sensitivity plus specificity test omission: 0.1321\nMaximum test sensitivity plus specificity binomial probability: 1.10E-58\nBalance training omission, predicted area and threshold value cumulative threshold: 1.2939\nBalance training omission, predicted area and threshold value logistic threshold: 0.0454\nBalance training omission, predicted area and threshold value area: 0.3822\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0.0189\nBalance training omission, predicted area and threshold value binomial probability: 1.44E-19\nEquate entropy of thresholded and original distributions cumulative threshold: 8.309\nEquate entropy of thresholded and original distributions logistic threshold: 0.1809\nEquate entropy of thresholded and original distributions area: 0.2471\nEquate entropy of thresholded and original distributions training omission: 0.031\nEquate entropy of thresholded and original distributions test omission: 0.0377\nEquate entropy of thresholded and original distributions binomial probability: 7.47E-34", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6174a354-c2a4-4b44-b029-d26df6044058", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1a_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6.1a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 962, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6174a354-c2a4-4b44-b029-d26df6044058", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f6-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 755\nRegularized training gain: 1.2949\nUnregularized training gain: 1.3929\nIterations: 500\nTraining AUC: 0.9066\n#Test samples: 83\nTest gain: 1.2734\nTest AUC: 0.8951\nAUC Standard Deviation: 0.0105\n#Background points: 5543\nbio_12_etrs2_ras contribution: 0.2318\nbio_15_etrs2_ras contribution: 6.7018\nbio_18_etrs2_ras contribution: 4.066\nbio_4_etrs2_ras contribution: 13.2573\nbio_8_etrs2_ras contribution: 0.3284\nbld_m_sd1_1km_eu_ll contribution: 3.7736\ncecsum_m_sd1_1km_eu_ll contribution: 0.3458\nclyppt_m_sd1_1km_eu_ll contribution: 8.9195\ncrfvol_m_sd1_1km_eu_ll contribution: 6.6706\ndist2water1km contribution: 0.4612\norcdrc_m_sd1_1km_eu_ll contribution: 0.115\npet_he_yr contribution: 40.1732\nsltppt_m_sd1_1km_eu_ll contribution: 0.7076\nsndppt_m_sd1_1km_eu_ll contribution: 14.1712\nsolar_1km contribution: 0.077\nbio_12_etrs2_ras permutation importance: 0.7942\nbio_15_etrs2_ras permutation importance: 13.2695\nbio_18_etrs2_ras permutation importance: 10.9101\nbio_4_etrs2_ras permutation importance: 14.5952\nbio_8_etrs2_ras permutation importance: 1.2088\nbld_m_sd1_1km_eu_ll permutation importance: 7.9741\ncecsum_m_sd1_1km_eu_ll permutation importance: 3.1065\nclyppt_m_sd1_1km_eu_ll permutation importance: 4.0297\ncrfvol_m_sd1_1km_eu_ll permutation importance: 10.5767\ndist2water1km permutation importance: 0.745\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.2357\npet_he_yr permutation importance: 18.8432\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.7303\nsndppt_m_sd1_1km_eu_ll permutation importance: 12.4635\nsolar_1km permutation importance: 0.5175\nTraining gain without bio_12_etrs2_ras: 1.2928\nTraining gain without bio_15_etrs2_ras: 1.2621\nTraining gain without bio_18_etrs2_ras: 1.2884\nTraining gain without bio_4_etrs2_ras: 1.2594\nTraining gain without bio_8_etrs2_ras: 1.2935\nTraining gain without bld_m_sd1_1km_eu_ll: 1.2758\nTraining gain without cecsum_m_sd1_1km_eu_ll: 1.292\nTraining gain without clyppt_m_sd1_1km_eu_ll: 1.2902\nTraining gain without crfvol_m_sd1_1km_eu_ll: 1.2733\nTraining gain without dist2water1km: 1.2911\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.294\nTraining gain without pet_he_yr: 1.2679\nTraining gain without sltppt_m_sd1_1km_eu_ll: 1.2942\nTraining gain without sndppt_m_sd1_1km_eu_ll: 1.2835\nTraining gain without solar_1km: 1.2952\nTraining gain with only bio_12_etrs2_ras: 0.2033\nTraining gain with only bio_15_etrs2_ras: 0.1337\nTraining gain with only bio_18_etrs2_ras: 0.5914\nTraining gain with only bio_4_etrs2_ras: 0.3227\nTraining gain with only bio_8_etrs2_ras: 0.1846\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.4475\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.3033\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.6491\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.349\nTraining gain with only dist2water1km: 0.0159\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.1721\nTraining gain with only pet_he_yr: 0.7536\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.3141\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.6153\nTraining gain with only solar_1km: 0.2031\nTest gain without bio_12_etrs2_ras: 1.2825\nTest gain without bio_15_etrs2_ras: 1.255\nTest gain without bio_18_etrs2_ras: 1.2774\nTest gain without bio_4_etrs2_ras: 1.2277\nTest gain without bio_8_etrs2_ras: 1.2675\nTest gain without bld_m_sd1_1km_eu_ll: 1.2571\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.2775\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.2518\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.2364\nTest gain without dist2water1km: 1.2812\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.2564\nTest gain without pet_he_yr: 1.2776\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.271\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.2635\nTest gain without solar_1km: 1.2776\nTest gain with only bio_12_etrs2_ras: 0.1371\nTest gain with only bio_15_etrs2_ras: 0.0859\nTest gain with only bio_18_etrs2_ras: 0.4889\nTest gain with only bio_4_etrs2_ras: 0.3427\nTest gain with only bio_8_etrs2_ras: 0.2839\nTest gain with only bld_m_sd1_1km_eu_ll: 0.378\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.263\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.7177\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.4066\nTest gain with only dist2water1km: 0.0075\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.0822\nTest gain with only pet_he_yr: 0.6418\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3907\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.6685\nTest gain with only solar_1km: 0.088\nAUC without bio_12_etrs2_ras: 0.896\nAUC without bio_15_etrs2_ras: 0.8933\nAUC without bio_18_etrs2_ras: 0.895\nAUC without bio_4_etrs2_ras: 0.8904\nAUC without bio_8_etrs2_ras: 0.894\nAUC without bld_m_sd1_1km_eu_ll: 0.8931\nAUC without cecsum_m_sd1_1km_eu_ll: 0.8955\nAUC without clyppt_m_sd1_1km_eu_ll: 0.8925\nAUC without crfvol_m_sd1_1km_eu_ll: 0.8915\nAUC without dist2water1km: 0.8957\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.8932\nAUC without pet_he_yr: 0.8949\nAUC without sltppt_m_sd1_1km_eu_ll: 0.8947\nAUC without sndppt_m_sd1_1km_eu_ll: 0.8939\nAUC without solar_1km: 0.8957\nAUC with only bio_12_etrs2_ras: 0.6478\nAUC with only bio_15_etrs2_ras: 0.6199\nAUC with only bio_18_etrs2_ras: 0.7713\nAUC with only bio_4_etrs2_ras: 0.6868\nAUC with only bio_8_etrs2_ras: 0.7145\nAUC with only bld_m_sd1_1km_eu_ll: 0.7456\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.689\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.8055\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.7155\nAUC with only dist2water1km: 0.5635\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.6267\nAUC with only pet_he_yr: 0.7974\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.7242\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.804\nAUC with only solar_1km: 0.6293\nEntropy: 7.3276\nPrevalence (average of logistic output over background sites): 0.1336\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0309\nFixed cumulative value 1 area: 0.3877\nFixed cumulative value 1 training omission: 0.0066\nFixed cumulative value 1 test omission: 0.012\nFixed cumulative value 1 binomial probability: 1.56E-29\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1715\nFixed cumulative value 5 area: 0.2652\nFixed cumulative value 5 training omission: 0.0252\nFixed cumulative value 5 test omission: 0.0482\nFixed cumulative value 5 binomial probability: 7.00E-46\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2808\nFixed cumulative value 10 area: 0.2185\nFixed cumulative value 10 training omission: 0.045\nFixed cumulative value 10 test omission: 0.0843\nFixed cumulative value 10 binomial probability: 1.27E-53\nMinimum training presence cumulative threshold: 0.0978\nMinimum training presence logistic threshold: 0.0033\nMinimum training presence area: 0.5786\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.76E-15\n10 percentile training presence cumulative threshold: 15.2489\n10 percentile training presence logistic threshold: 0.3627\n10 percentile training presence area: 0.1887\n10 percentile training presence training omission: 0.0993\n10 percentile training presence test omission: 0.0964\n10 percentile training presence binomial probability: 1.62E-62\nEqual training sensitivity and specificity cumulative threshold: 21.0523\nEqual training sensitivity and specificity logistic threshold: 0.4111\nEqual training sensitivity and specificity area: 0.1636\nEqual training sensitivity and specificity training omission: 0.1642\nEqual training sensitivity and specificity test omission: 0.1928\nEqual training sensitivity and specificity binomial probability: 7.05E-57\nMaximum training sensitivity plus specificity cumulative threshold: 10.1536\nMaximum training sensitivity plus specificity logistic threshold: 0.2825\nMaximum training sensitivity plus specificity area: 0.2174\nMaximum training sensitivity plus specificity training omission: 0.045\nMaximum training sensitivity plus specificity test omission: 0.0843\nMaximum training sensitivity plus specificity binomial probability: 5.73E-54\nEqual test sensitivity and specificity cumulative threshold: 19.4655\nEqual test sensitivity and specificity logistic threshold: 0.3992\nEqual test sensitivity and specificity area: 0.1699\nEqual test sensitivity and specificity training omission: 0.143\nEqual test sensitivity and specificity test omission: 0.1687\nEqual test sensitivity and specificity binomial probability: 3.20E-58\nMaximum test sensitivity plus specificity cumulative threshold: 15.6974\nMaximum test sensitivity plus specificity logistic threshold: 0.3687\nMaximum test sensitivity plus specificity area: 0.1865\nMaximum test sensitivity plus specificity training omission: 0.102\nMaximum test sensitivity plus specificity test omission: 0.0964\nMaximum test sensitivity plus specificity binomial probability: 2.00E-63\nBalance training omission, predicted area and threshold value cumulative threshold: 2.0331\nBalance training omission, predicted area and threshold value logistic threshold: 0.067\nBalance training omission, predicted area and threshold value area: 0.3294\nBalance training omission, predicted area and threshold value training omission: 0.0132\nBalance training omission, predicted area and threshold value test omission: 0.0241\nBalance training omission, predicted area and threshold value binomial probability: 2.52E-36\nEquate entropy of thresholded and original distributions cumulative threshold: 4.3713\nEquate entropy of thresholded and original distributions logistic threshold: 0.1483\nEquate entropy of thresholded and original distributions area: 0.2744\nEquate entropy of thresholded and original distributions training omission: 0.0199\nEquate entropy of thresholded and original distributions test omission: 0.0482\nEquate entropy of thresholded and original distributions binomial probability: 8.30E-44", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "f0347a86-738d-40ee-8358-8a564c986dca", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-8_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.8, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 963, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0347a86-738d-40ee-8358-8a564c986dca", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-8_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 2368\nRegularized training gain: 0.9878\nUnregularized training gain: 1.0481\nIterations: 500\nTraining AUC: 0.8628\n#Test samples: 263\nTest gain: 1.0651\nTest AUC: 0.863\nAUC Standard Deviation: 0.0064\n#Background points: 12363\nbio_12_etrs2_ras contribution: 0.1128\nbio_15_etrs2_ras contribution: 1.4857\nbio_18_etrs2_ras contribution: 21.5749\nbio_4_etrs2_ras contribution: 58.255\nbio_8_etrs2_ras contribution: 0.2729\ndist2water1km contribution: 0.0045\npet_he_yr contribution: 14.6326\nsoil_ph contribution: 0.7197\nsolar_1km contribution: 2.9419\nbio_12_etrs2_ras permutation importance: 0.9595\nbio_15_etrs2_ras permutation importance: 0.9637\nbio_18_etrs2_ras permutation importance: 16.9937\nbio_4_etrs2_ras permutation importance: 59.872\nbio_8_etrs2_ras permutation importance: 0.8316\ndist2water1km permutation importance: 0.0386\npet_he_yr permutation importance: 16.1328\nsoil_ph permutation importance: 0.6691\nsolar_1km permutation importance: 3.539\nEntropy: 8.4372\nPrevalence (average of logistic output over background sites): 0.1835\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0631\nFixed cumulative value 1 area: 0.4362\nFixed cumulative value 1 training omission: 0.0042\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2271\nFixed cumulative value 5 area: 0.35\nFixed cumulative value 5 training omission: 0.0236\nFixed cumulative value 5 test omission: 0.0114\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3212\nFixed cumulative value 10 area: 0.3014\nFixed cumulative value 10 training omission: 0.0714\nFixed cumulative value 10 test omission: 0.0646\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0968\nMinimum training presence logistic threshold: 0.0029\nMinimum training presence area: 0.6497\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.34E-33\n10 percentile training presence cumulative threshold: 12.5828\n10 percentile training presence logistic threshold: 0.3507\n10 percentile training presence area: 0.2823\n10 percentile training presence training omission: 0.0997\n10 percentile training presence test omission: 0.0989\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 24.4193\nEqual training sensitivity and specificity logistic threshold: 0.4588\nEqual training sensitivity and specificity area: 0.2185\nEqual training sensitivity and specificity training omission: 0.2183\nEqual training sensitivity and specificity test omission: 0.2395\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.0176\nMaximum training sensitivity plus specificity logistic threshold: 0.2921\nMaximum training sensitivity plus specificity area: 0.3181\nMaximum training sensitivity plus specificity training omission: 0.0494\nMaximum training sensitivity plus specificity test omission: 0.0342\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 23.1332\nEqual test sensitivity and specificity logistic threshold: 0.4513\nEqual test sensitivity and specificity area: 0.2243\nEqual test sensitivity and specificity training omission: 0.2073\nEqual test sensitivity and specificity test omission: 0.2243\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 7.9676\nMaximum test sensitivity plus specificity logistic threshold: 0.2914\nMaximum test sensitivity plus specificity area: 0.3186\nMaximum test sensitivity plus specificity training omission: 0.0494\nMaximum test sensitivity plus specificity test omission: 0.0304\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.2849\nBalance training omission, predicted area and threshold value logistic threshold: 0.0851\nBalance training omission, predicted area and threshold value area: 0.423\nBalance training omission, predicted area and threshold value training omission: 0.0051\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 3.3697\nEquate entropy of thresholded and original distributions logistic threshold: 0.1877\nEquate entropy of thresholded and original distributions area: 0.3733\nEquate entropy of thresholded and original distributions training omission: 0.0139\nEquate entropy of thresholded and original distributions test omission: 0.0038\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "9312f79c-94fe-4d15-90c2-8371fb28826f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-3_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9.3, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 964, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9312f79c-94fe-4d15-90c2-8371fb28826f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f9-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 198\nRegularized training gain: 2.3239\nUnregularized training gain: 2.5425\nIterations: 500\nTraining AUC: 0.972\n#Test samples: 22\nTest gain: 2.3505\nTest AUC: 0.9649\nAUC Standard Deviation: 0.0068\n#Background points: 5140\nbio_12_etrs2_ras contribution: 0.4784\nbio_15_etrs2_ras contribution: 3.1528\nbio_18_etrs2_ras contribution: 38.0612\nbio_4_etrs2_ras contribution: 0.1564\nbio_8_etrs2_ras contribution: 0.8456\nbld_m_sd1_1km_eu_ll contribution: 35.2455\ncecsum_m_sd1_1km_eu_ll contribution: 0.0865\nclyppt_m_sd1_1km_eu_ll contribution: 7.2877\ncrfvol_m_sd1_1km_eu_ll contribution: 0.5201\ndist2water1km contribution: 0.1944\norcdrc_m_sd1_1km_eu_ll contribution: 0.29\npet_he_yr contribution: 7.2959\nsltppt_m_sd1_1km_eu_ll contribution: 2.3526\nsndppt_m_sd1_1km_eu_ll contribution: 0.8838\nsolar_1km contribution: 3.1492\nbio_12_etrs2_ras permutation importance: 0.0878\nbio_15_etrs2_ras permutation importance: 6.5436\nbio_18_etrs2_ras permutation importance: 59.4637\nbio_4_etrs2_ras permutation importance: 0.9375\nbio_8_etrs2_ras permutation importance: 2.7788\nbld_m_sd1_1km_eu_ll permutation importance: 3.756\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.8737\nclyppt_m_sd1_1km_eu_ll permutation importance: 10.267\ncrfvol_m_sd1_1km_eu_ll permutation importance: 3.1304\ndist2water1km permutation importance: 0.4427\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.7543\npet_he_yr permutation importance: 3.5857\nsltppt_m_sd1_1km_eu_ll permutation importance: 2.037\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.31\nsolar_1km permutation importance: 5.0318\nTraining gain without bio_12_etrs2_ras: 2.3214\nTraining gain without bio_15_etrs2_ras: 2.2756\nTraining gain without bio_18_etrs2_ras: 2.302\nTraining gain without bio_4_etrs2_ras: 2.32\nTraining gain without bio_8_etrs2_ras: 2.3084\nTraining gain without bld_m_sd1_1km_eu_ll: 2.325\nTraining gain without cecsum_m_sd1_1km_eu_ll: 2.3229\nTraining gain without clyppt_m_sd1_1km_eu_ll: 2.3078\nTraining gain without crfvol_m_sd1_1km_eu_ll: 2.2911\nTraining gain without dist2water1km: 2.3186\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.3237\nTraining gain without pet_he_yr: 2.3023\nTraining gain without sltppt_m_sd1_1km_eu_ll: 2.3202\nTraining gain without sndppt_m_sd1_1km_eu_ll: 2.3193\nTraining gain without solar_1km: 2.3129\nTraining gain with only bio_12_etrs2_ras: 0.6892\nTraining gain with only bio_15_etrs2_ras: 1.0505\nTraining gain with only bio_18_etrs2_ras: 1.6658\nTraining gain with only bio_4_etrs2_ras: 0.305\nTraining gain with only bio_8_etrs2_ras: 0.4187\nTraining gain with only bld_m_sd1_1km_eu_ll: 1.6355\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.2501\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.9911\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.3139\nTraining gain with only dist2water1km: 0.0781\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.7096\nTraining gain with only pet_he_yr: 1.563\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.2563\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.4807\nTraining gain with only solar_1km: 0.52\nTest gain without bio_12_etrs2_ras: 2.3239\nTest gain without bio_15_etrs2_ras: 2.3132\nTest gain without bio_18_etrs2_ras: 2.359\nTest gain without bio_4_etrs2_ras: 2.3115\nTest gain without bio_8_etrs2_ras: 2.3134\nTest gain without bld_m_sd1_1km_eu_ll: 2.2592\nTest gain without cecsum_m_sd1_1km_eu_ll: 2.3481\nTest gain without clyppt_m_sd1_1km_eu_ll: 2.295\nTest gain without crfvol_m_sd1_1km_eu_ll: 2.3769\nTest gain without dist2water1km: 2.3254\nTest gain without orcdrc_m_sd1_1km_eu_ll: 2.381\nTest gain without pet_he_yr: 2.2282\nTest gain without sltppt_m_sd1_1km_eu_ll: 2.2967\nTest gain without sndppt_m_sd1_1km_eu_ll: 2.2821\nTest gain without solar_1km: 2.3615\nTest gain with only bio_12_etrs2_ras: 1.0251\nTest gain with only bio_15_etrs2_ras: 0.8818\nTest gain with only bio_18_etrs2_ras: 1.8308\nTest gain with only bio_4_etrs2_ras: 0.3942\nTest gain with only bio_8_etrs2_ras: 0.5683\nTest gain with only bld_m_sd1_1km_eu_ll: 1.6782\nTest gain with only cecsum_m_sd1_1km_eu_ll: -0.0869\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.8157\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.1303\nTest gain with only dist2water1km: 0.2204\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.6504\nTest gain with only pet_he_yr: 1.9534\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3548\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.287\nTest gain with only solar_1km: 0.2802\nAUC without bio_12_etrs2_ras: 0.9636\nAUC without bio_15_etrs2_ras: 0.9633\nAUC without bio_18_etrs2_ras: 0.9653\nAUC without bio_4_etrs2_ras: 0.9635\nAUC without bio_8_etrs2_ras: 0.9634\nAUC without bld_m_sd1_1km_eu_ll: 0.9619\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9645\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9625\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9656\nAUC without dist2water1km: 0.9631\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9656\nAUC without pet_he_yr: 0.9601\nAUC without sltppt_m_sd1_1km_eu_ll: 0.963\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9623\nAUC without solar_1km: 0.9651\nAUC with only bio_12_etrs2_ras: 0.8486\nAUC with only bio_15_etrs2_ras: 0.8469\nAUC with only bio_18_etrs2_ras: 0.9391\nAUC with only bio_4_etrs2_ras: 0.7473\nAUC with only bio_8_etrs2_ras: 0.7807\nAUC with only bld_m_sd1_1km_eu_ll: 0.9361\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.5654\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.8411\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.6483\nAUC with only dist2water1km: 0.7084\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.8126\nAUC with only pet_he_yr: 0.9497\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.7377\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.6992\nAUC with only solar_1km: 0.7147\nEntropy: 6.2387\nPrevalence (average of logistic output over background sites): 0.048\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0166\nFixed cumulative value 1 area: 0.1745\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.09E-17\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.125\nFixed cumulative value 5 area: 0.1089\nFixed cumulative value 5 training omission: 0.0152\nFixed cumulative value 5 test omission: 0.0455\nFixed cumulative value 5 binomial probability: 1.19E-19\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.218\nFixed cumulative value 10 area: 0.0844\nFixed cumulative value 10 training omission: 0.0455\nFixed cumulative value 10 test omission: 0.0909\nFixed cumulative value 10 binomial probability: 6.63E-20\nMinimum training presence cumulative threshold: 1.1601\nMinimum training presence logistic threshold: 0.0213\nMinimum training presence area: 0.1663\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 7.28E-18\n10 percentile training presence cumulative threshold: 20.3928\n10 percentile training presence logistic threshold: 0.3493\n10 percentile training presence area: 0.0582\n10 percentile training presence training omission: 0.096\n10 percentile training presence test omission: 0.1818\n10 percentile training presence binomial probability: 3.39E-19\nEqual training sensitivity and specificity cumulative threshold: 14.5887\nEqual training sensitivity and specificity logistic threshold: 0.2787\nEqual training sensitivity and specificity area: 0.0706\nEqual training sensitivity and specificity training omission: 0.0707\nEqual training sensitivity and specificity test omission: 0.0909\nEqual training sensitivity and specificity binomial probability: 1.91E-21\nMaximum training sensitivity plus specificity cumulative threshold: 5.5286\nMaximum training sensitivity plus specificity logistic threshold: 0.1362\nMaximum training sensitivity plus specificity area: 0.1053\nMaximum training sensitivity plus specificity training omission: 0.0152\nMaximum training sensitivity plus specificity test omission: 0.0455\nMaximum training sensitivity plus specificity binomial probability: 5.80E-20\nEqual test sensitivity and specificity cumulative threshold: 9.7867\nEqual test sensitivity and specificity logistic threshold: 0.2133\nEqual test sensitivity and specificity area: 0.0852\nEqual test sensitivity and specificity training omission: 0.0455\nEqual test sensitivity and specificity test omission: 0.0909\nEqual test sensitivity and specificity binomial probability: 7.95E-20\nMaximum test sensitivity plus specificity cumulative threshold: 3.1746\nMaximum test sensitivity plus specificity logistic threshold: 0.0853\nMaximum test sensitivity plus specificity area: 0.1243\nMaximum test sensitivity plus specificity training omission: 0.0101\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.20E-20\nBalance training omission, predicted area and threshold value cumulative threshold: 1.1601\nBalance training omission, predicted area and threshold value logistic threshold: 0.0213\nBalance training omission, predicted area and threshold value area: 0.1663\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 7.28E-18\nEquate entropy of thresholded and original distributions cumulative threshold: 6.5344\nEquate entropy of thresholded and original distributions logistic threshold: 0.155\nEquate entropy of thresholded and original distributions area: 0.0996\nEquate entropy of thresholded and original distributions training omission: 0.0253\nEquate entropy of thresholded and original distributions test omission: 0.0455\nEquate entropy of thresholded and original distributions binomial probability: 1.83E-20", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "8638744c-5d3a-4c71-9dab-f4cf49e5908b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1g_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1g, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 965, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8638744c-5d3a-4c71-9dab-f4cf49e5908b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1g_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 477\nRegularized training gain: 1.336\nUnregularized training gain: 1.5094\nIterations: 500\nTraining AUC: 0.9214\n#Test samples: 53\nTest gain: 1.4334\nTest AUC: 0.9127\nAUC Standard Deviation: 0.0117\n#Background points: 5476\nbio_12_etrs2_ras contribution: 21.3753\nbio_15_etrs2_ras contribution: 1.4767\nbio_18_etrs2_ras contribution: 3.8228\nbio_4_etrs2_ras contribution: 38.4785\nbio_8_etrs2_ras contribution: 0.5229\nbld_m_sd1_1km_eu_ll contribution: 6.9894\ncecsum_m_sd1_1km_eu_ll contribution: 1.5709\nclyppt_m_sd1_1km_eu_ll contribution: 6.0154\ncrfvol_m_sd1_1km_eu_ll contribution: 4.1324\ndist2water1km contribution: 0.3184\norcdrc_m_sd1_1km_eu_ll contribution: 0.9897\npet_he_yr contribution: 13.4663\nphihox_m_sd1_1km_eu_ll contribution: 0.2333\nsltppt_m_sd1_1km_eu_ll contribution: 0.1342\nsndppt_m_sd1_1km_eu_ll contribution: 0.4396\nsolar_1km contribution: 0.0344\nbio_12_etrs2_ras permutation importance: 2.1368\nbio_15_etrs2_ras permutation importance: 5.4331\nbio_18_etrs2_ras permutation importance: 6.7422\nbio_4_etrs2_ras permutation importance: 44.9368\nbio_8_etrs2_ras permutation importance: 1.7816\nbld_m_sd1_1km_eu_ll permutation importance: 4.1575\ncecsum_m_sd1_1km_eu_ll permutation importance: 5.7108\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.9402\ncrfvol_m_sd1_1km_eu_ll permutation importance: 7.6498\ndist2water1km permutation importance: 0.3067\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.9113\npet_he_yr permutation importance: 15.4077\nphihox_m_sd1_1km_eu_ll permutation importance: 1.0707\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.7499\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.9865\nsolar_1km permutation importance: 0.0784\nEntropy: 7.2766\nPrevalence (average of logistic output over background sites): 0.1284\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0252\nFixed cumulative value 1 area: 0.4246\nFixed cumulative value 1 training omission: 0.0021\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.17E-17\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1414\nFixed cumulative value 5 area: 0.2812\nFixed cumulative value 5 training omission: 0.0189\nFixed cumulative value 5 test omission: 0.0377\nFixed cumulative value 5 binomial probability: 1.41E-28\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2437\nFixed cumulative value 10 area: 0.2255\nFixed cumulative value 10 training omission: 0.0503\nFixed cumulative value 10 test omission: 0.0755\nFixed cumulative value 10 binomial probability: 2.08E-34\nMinimum training presence cumulative threshold: 0.9217\nMinimum training presence logistic threshold: 0.0234\nMinimum training presence area: 0.433\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.00E-17\n10 percentile training presence cumulative threshold: 18.1671\n10 percentile training presence logistic threshold: 0.3403\n10 percentile training presence area: 0.174\n10 percentile training presence training omission: 0.0985\n10 percentile training presence test omission: 0.1509\n10 percentile training presence binomial probability: 1.01E-38\nEqual training sensitivity and specificity cumulative threshold: 23.2055\nEqual training sensitivity and specificity logistic threshold: 0.3783\nEqual training sensitivity and specificity area: 0.1503\nEqual training sensitivity and specificity training omission: 0.1509\nEqual training sensitivity and specificity test omission: 0.2075\nEqual training sensitivity and specificity binomial probability: 2.08E-39\nMaximum training sensitivity plus specificity cumulative threshold: 15.887\nMaximum training sensitivity plus specificity logistic threshold: 0.32\nMaximum training sensitivity plus specificity area: 0.1863\nMaximum training sensitivity plus specificity training omission: 0.0797\nMaximum training sensitivity plus specificity test omission: 0.1321\nMaximum training sensitivity plus specificity binomial probability: 1.63E-37\nEqual test sensitivity and specificity cumulative threshold: 19.0346\nEqual test sensitivity and specificity logistic threshold: 0.3465\nEqual test sensitivity and specificity area: 0.1698\nEqual test sensitivity and specificity training omission: 0.1111\nEqual test sensitivity and specificity test omission: 0.1698\nEqual test sensitivity and specificity binomial probability: 7.85E-38\nMaximum test sensitivity plus specificity cumulative threshold: 14.968\nMaximum test sensitivity plus specificity logistic threshold: 0.3093\nMaximum test sensitivity plus specificity area: 0.1916\nMaximum test sensitivity plus specificity training omission: 0.0797\nMaximum test sensitivity plus specificity test omission: 0.0943\nMaximum test sensitivity plus specificity binomial probability: 3.82E-40\nBalance training omission, predicted area and threshold value cumulative threshold: 2.5523\nBalance training omission, predicted area and threshold value logistic threshold: 0.074\nBalance training omission, predicted area and threshold value area: 0.3358\nBalance training omission, predicted area and threshold value training omission: 0.0063\nBalance training omission, predicted area and threshold value test omission: 0.0189\nBalance training omission, predicted area and threshold value binomial probability: 1.30E-23\nEquate entropy of thresholded and original distributions cumulative threshold: 6.1855\nEquate entropy of thresholded and original distributions logistic threshold: 0.169\nEquate entropy of thresholded and original distributions area: 0.2641\nEquate entropy of thresholded and original distributions training omission: 0.0294\nEquate entropy of thresholded and original distributions test omission: 0.0566\nEquate entropy of thresholded and original distributions binomial probability: 1.65E-29", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "76691d8d-4d47-4a66-b0fa-fcb2cfa790c1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-1_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7-1 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 966, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76691d8d-4d47-4a66-b0fa-fcb2cfa790c1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f7-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "ac3b92e7-94e5-4016-897c-818c8be0abf6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-7_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1.7, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 967, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b92e7-94e5-4016-897c-818c8be0abf6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b1-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 128\nRegularized training gain: 3.0309\nUnregularized training gain: 3.4058\nIterations: 500\nTraining AUC: 0.987\n#Test samples: 14\nTest gain: 3.5723\nTest AUC: 0.9904\nAUC Standard Deviation: 0.0028\n#Background points: 10128\nbio_12_etrs2_ras contribution: 1.018\nbio_15_etrs2_ras contribution: 8.5057\nbio_18_etrs2_ras contribution: 1.2786\nbio_4_etrs2_ras contribution: 39.5222\nbio_8_etrs2_ras contribution: 15.8472\ndist2water1km contribution: 0.947\npet_he_yr contribution: 0.9996\nsoil_ph contribution: 0.3234\nsolar_1km contribution: 31.5583\nbio_12_etrs2_ras permutation importance: 1.1557\nbio_15_etrs2_ras permutation importance: 4.112\nbio_18_etrs2_ras permutation importance: 1.6354\nbio_4_etrs2_ras permutation importance: 68.7488\nbio_8_etrs2_ras permutation importance: 5.0543\ndist2water1km permutation importance: 0.3743\npet_he_yr permutation importance: 0.7581\nsoil_ph permutation importance: 0.1484\nsolar_1km permutation importance: 18.0129\nEntropy: 6.2021\nPrevalence (average of logistic output over background sites): 0.0223\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0036\nFixed cumulative value 1 area: 0.2741\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.35E-08\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.031\nFixed cumulative value 5 area: 0.1037\nFixed cumulative value 5 training omission: 0.0078\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.66E-14\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0831\nFixed cumulative value 10 area: 0.0581\nFixed cumulative value 10 training omission: 0.0469\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 4.94E-18\nMinimum training presence cumulative threshold: 4.3626\nMinimum training presence logistic threshold: 0.0265\nMinimum training presence area: 0.1142\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 6.45E-14\n10 percentile training presence cumulative threshold: 15.4845\n10 percentile training presence logistic threshold: 0.1588\n10 percentile training presence area: 0.0374\n10 percentile training presence training omission: 0.0938\n10 percentile training presence test omission: 0.0714\n10 percentile training presence binomial probability: 3.81E-18\nEqual training sensitivity and specificity cumulative threshold: 12.0954\nEqual training sensitivity and specificity logistic threshold: 0.1082\nEqual training sensitivity and specificity area: 0.0483\nEqual training sensitivity and specificity training omission: 0.0469\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 3.74E-19\nMaximum training sensitivity plus specificity cumulative threshold: 12.0954\nMaximum training sensitivity plus specificity logistic threshold: 0.1082\nMaximum training sensitivity plus specificity area: 0.0483\nMaximum training sensitivity plus specificity training omission: 0.0469\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 3.74E-19\nEqual test sensitivity and specificity cumulative threshold: 15.2977\nEqual test sensitivity and specificity logistic threshold: 0.1539\nEqual test sensitivity and specificity area: 0.0379\nEqual test sensitivity and specificity training omission: 0.0859\nEqual test sensitivity and specificity test omission: 0.0714\nEqual test sensitivity and specificity binomial probability: 4.52E-18\nMaximum test sensitivity plus specificity cumulative threshold: 15.2927\nMaximum test sensitivity plus specificity logistic threshold: 0.1537\nMaximum test sensitivity plus specificity area: 0.0379\nMaximum test sensitivity plus specificity training omission: 0.0859\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.27E-20\nBalance training omission, predicted area and threshold value cumulative threshold: 3.4843\nBalance training omission, predicted area and threshold value logistic threshold: 0.0191\nBalance training omission, predicted area and threshold value area: 0.1328\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 5.31E-13\nEquate entropy of thresholded and original distributions cumulative threshold: 12.022\nEquate entropy of thresholded and original distributions logistic threshold: 0.1074\nEquate entropy of thresholded and original distributions area: 0.0487\nEquate entropy of thresholded and original distributions training omission: 0.0469\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 4.19E-19", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "5bcc499a-8924-40a2-8437-ead942a5d9d2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.6b distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 968, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bcc499a-8924-40a2-8437-ead942a5d9d2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-6b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "9670883f-53d0-43b8-8d1a-d65e3a076877", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 969, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9670883f-53d0-43b8-8d1a-d65e3a076877", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "6b209f5f-7292-46b4-b59f-74d0dccf53ee", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2-1 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 970, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b209f5f-7292-46b4-b59f-74d0dccf53ee", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f2-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "cb23d43e-5495-4ab9-861e-1c2d13db33e2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 971, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cb23d43e-5495-4ab9-861e-1c2d13db33e2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 261\nRegularized training gain: 1.451\nUnregularized training gain: 1.6818\nIterations: 500\nTraining AUC: 0.9294\n#Test samples: 28\nTest gain: 1.6294\nTest AUC: 0.9168\nAUC Standard Deviation: 0.0248\n#Background points: 5261\nbio_12_etrs2_ras contribution: 16.9278\nbio_15_etrs2_ras contribution: 1.7383\nbio_18_etrs2_ras contribution: 3.0896\nbio_4_etrs2_ras contribution: 47.2878\nbio_8_etrs2_ras contribution: 1.1727\nbld_m_sd1_1km_eu_ll contribution: 2.8954\ncecsum_m_sd1_1km_eu_ll contribution: 0.1047\nclyppt_m_sd1_1km_eu_ll contribution: 0.2259\ncrfvol_m_sd1_1km_eu_ll contribution: 4.1454\ndist2water1km contribution: 0.0476\norcdrc_m_sd1_1km_eu_ll contribution: 0.8552\npet_he_yr contribution: 11.6802\nphihox_m_sd1_1km_eu_ll contribution: 0.3306\nsltppt_m_sd1_1km_eu_ll contribution: 0.4748\nsndppt_m_sd1_1km_eu_ll contribution: 2.8708\nsolar_1km contribution: 6.1532\nbio_12_etrs2_ras permutation importance: 11.098\nbio_15_etrs2_ras permutation importance: 1.4671\nbio_18_etrs2_ras permutation importance: 3.3948\nbio_4_etrs2_ras permutation importance: 39.0025\nbio_8_etrs2_ras permutation importance: 0.9225\nbld_m_sd1_1km_eu_ll permutation importance: 2.9407\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.3514\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.0385\ncrfvol_m_sd1_1km_eu_ll permutation importance: 13.2838\ndist2water1km permutation importance: 0.3511\norcdrc_m_sd1_1km_eu_ll permutation importance: 2.4478\npet_he_yr permutation importance: 15.1798\nphihox_m_sd1_1km_eu_ll permutation importance: 2.9375\nsltppt_m_sd1_1km_eu_ll permutation importance: 2.438\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.9287\nsolar_1km permutation importance: 2.2179\nEntropy: 7.1344\nPrevalence (average of logistic output over background sites): 0.1155\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0186\nFixed cumulative value 1 area: 0.5052\nFixed cumulative value 1 training omission: 0.0115\nFixed cumulative value 1 test omission: 0.0357\nFixed cumulative value 1 binomial probability: 5.91E-07\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0954\nFixed cumulative value 5 area: 0.3203\nFixed cumulative value 5 training omission: 0.0307\nFixed cumulative value 5 test omission: 0.0357\nFixed cumulative value 5 binomial probability: 1.40E-13\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1694\nFixed cumulative value 10 area: 0.2387\nFixed cumulative value 10 training omission: 0.0651\nFixed cumulative value 10 test omission: 0.1071\nFixed cumulative value 10 binomial probability: 2.35E-16\nMinimum training presence cumulative threshold: 0.5143\nMinimum training presence logistic threshold: 0.0103\nMinimum training presence area: 0.587\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0357\nMinimum training presence binomial probability: 2.51E-05\n10 percentile training presence cumulative threshold: 18.2675\n10 percentile training presence logistic threshold: 0.2609\n10 percentile training presence area: 0.1671\n10 percentile training presence training omission: 0.0996\n10 percentile training presence test omission: 0.1786\n10 percentile training presence binomial probability: 8.34E-21\nEqual training sensitivity and specificity cumulative threshold: 22.3303\nEqual training sensitivity and specificity logistic threshold: 0.3025\nEqual training sensitivity and specificity area: 0.1426\nEqual training sensitivity and specificity training omission: 0.1418\nEqual training sensitivity and specificity test omission: 0.2143\nEqual training sensitivity and specificity binomial probability: 1.08E-22\nMaximum training sensitivity plus specificity cumulative threshold: 18.2675\nMaximum training sensitivity plus specificity logistic threshold: 0.2609\nMaximum training sensitivity plus specificity area: 0.1671\nMaximum training sensitivity plus specificity training omission: 0.0996\nMaximum training sensitivity plus specificity test omission: 0.1786\nMaximum training sensitivity plus specificity binomial probability: 8.34E-21\nEqual test sensitivity and specificity cumulative threshold: 16.6662\nEqual test sensitivity and specificity logistic threshold: 0.2475\nEqual test sensitivity and specificity area: 0.1785\nEqual test sensitivity and specificity training omission: 0.0958\nEqual test sensitivity and specificity test omission: 0.1786\nEqual test sensitivity and specificity binomial probability: 3.20E-19\nMaximum test sensitivity plus specificity cumulative threshold: 36.3306\nMaximum test sensitivity plus specificity logistic threshold: 0.4278\nMaximum test sensitivity plus specificity area: 0.0842\nMaximum test sensitivity plus specificity training omission: 0.2759\nMaximum test sensitivity plus specificity test omission: 0.2143\nMaximum test sensitivity plus specificity binomial probability: 4.69E-41\nBalance training omission, predicted area and threshold value cumulative threshold: 3.5127\nBalance training omission, predicted area and threshold value logistic threshold: 0.072\nBalance training omission, predicted area and threshold value area: 0.3592\nBalance training omission, predicted area and threshold value training omission: 0.0192\nBalance training omission, predicted area and threshold value test omission: 0.0357\nBalance training omission, predicted area and threshold value binomial probability: 1.25E-11\nEquate entropy of thresholded and original distributions cumulative threshold: 10.0342\nEquate entropy of thresholded and original distributions logistic threshold: 0.1695\nEquate entropy of thresholded and original distributions area: 0.2384\nEquate entropy of thresholded and original distributions training omission: 0.0651\nEquate entropy of thresholded and original distributions test omission: 0.1071\nEquate entropy of thresholded and original distributions binomial probability: 2.18E-16", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "e50c38d3-8c4f-4d9f-80c9-279453a0f61c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1b distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 972, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e50c38d3-8c4f-4d9f-80c9-279453a0f61c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. 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Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5fca5975-e862-41a1-9a0e-4cd078555da1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f1-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. 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Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/64856826-dc6a-4cda-86ca-04a28ab81293", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b1-5a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. 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Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b7e1588d-723a-4ec6-a595-3fb9df91840c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f2-2c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. 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Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: Balkan region\n\t\t\tRemarks: Insufficient data to create a model.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "41b0dda2-f3ec-4a00-9628-ac9dc19182ba", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-4_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2.4, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 978, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41b0dda2-f3ec-4a00-9628-ac9dc19182ba", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f2-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 959\nRegularized training gain: 1.33\nUnregularized training gain: 1.4939\nIterations: 500\nTraining AUC: 0.9143\n#Test samples: 106\nTest gain: 1.5115\nTest AUC: 0.9149\nAUC Standard Deviation: 0.009\n#Background points: 5453\nbio_12_etrs2_ras contribution: 2.7221\nbio_15_etrs2_ras contribution: 2.6403\nbio_18_etrs2_ras contribution: 43.9529\nbio_4_etrs2_ras contribution: 13.1648\nbio_8_etrs2_ras contribution: 1.5025\nbld_m_sd1_1km_eu_ll contribution: 7.3518\ncecsum_m_sd1_1km_eu_ll contribution: 0.9019\nclyppt_m_sd1_1km_eu_ll contribution: 0.3665\ncrfvol_m_sd1_1km_eu_ll contribution: 9.3161\ndist2water1km contribution: 0.7246\norcdrc_m_sd1_1km_eu_ll contribution: 11.0593\npet_he_yr contribution: 1.8856\nsltppt_m_sd1_1km_eu_ll contribution: 2.9277\nsndppt_m_sd1_1km_eu_ll contribution: 0.069\nsolar_1km contribution: 1.415\nbio_12_etrs2_ras permutation importance: 11.1987\nbio_15_etrs2_ras permutation importance: 0.952\nbio_18_etrs2_ras permutation importance: 15.0502\nbio_4_etrs2_ras permutation importance: 24.8976\nbio_8_etrs2_ras permutation importance: 5.7478\nbld_m_sd1_1km_eu_ll permutation importance: 0.6055\ncecsum_m_sd1_1km_eu_ll permutation importance: 8.6279\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.3552\ncrfvol_m_sd1_1km_eu_ll permutation importance: 5.9339\ndist2water1km permutation importance: 0.9175\norcdrc_m_sd1_1km_eu_ll permutation importance: 5.3257\npet_he_yr permutation importance: 7.2263\nsltppt_m_sd1_1km_eu_ll permutation importance: 11.13\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.6911\nsolar_1km permutation importance: 1.3406\nTraining gain without bio_12_etrs2_ras: 1.315\nTraining gain without bio_15_etrs2_ras: 1.326\nTraining gain without bio_18_etrs2_ras: 1.3107\nTraining gain without bio_4_etrs2_ras: 1.2923\nTraining gain without bio_8_etrs2_ras: 1.3147\nTraining gain without bld_m_sd1_1km_eu_ll: 1.3269\nTraining gain without cecsum_m_sd1_1km_eu_ll: 1.3242\nTraining gain without clyppt_m_sd1_1km_eu_ll: 1.3277\nTraining gain without crfvol_m_sd1_1km_eu_ll: 1.3108\nTraining gain without dist2water1km: 1.3253\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.325\nTraining gain without pet_he_yr: 1.3172\nTraining gain without sltppt_m_sd1_1km_eu_ll: 1.3217\nTraining gain without sndppt_m_sd1_1km_eu_ll: 1.33\nTraining gain without solar_1km: 1.3177\nTraining gain with only bio_12_etrs2_ras: 0.5502\nTraining gain with only bio_15_etrs2_ras: 0.2579\nTraining gain with only bio_18_etrs2_ras: 0.945\nTraining gain with only bio_4_etrs2_ras: 0.6296\nTraining gain with only bio_8_etrs2_ras: 0.2839\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.7874\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.7465\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.2094\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.7232\nTraining gain with only dist2water1km: 0.103\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.6591\nTraining gain with only pet_he_yr: 0.6047\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.4062\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.3865\nTraining gain with only solar_1km: 0.6498\nTest gain without bio_12_etrs2_ras: 1.4832\nTest gain without bio_15_etrs2_ras: 1.4958\nTest gain without bio_18_etrs2_ras: 1.477\nTest gain without bio_4_etrs2_ras: 1.5175\nTest gain without bio_8_etrs2_ras: 1.4851\nTest gain without bld_m_sd1_1km_eu_ll: 1.523\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.511\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.5106\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.4889\nTest gain without dist2water1km: 1.4955\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.5132\nTest gain without pet_he_yr: 1.5072\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.5019\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.5138\nTest gain without solar_1km: 1.521\nTest gain with only bio_12_etrs2_ras: 0.6841\nTest gain with only bio_15_etrs2_ras: 0.3615\nTest gain with only bio_18_etrs2_ras: 1.0659\nTest gain with only bio_4_etrs2_ras: 0.6307\nTest gain with only bio_8_etrs2_ras: 0.3726\nTest gain with only bld_m_sd1_1km_eu_ll: 0.8659\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.7941\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.2548\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.8805\nTest gain with only dist2water1km: 0.2401\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.7094\nTest gain with only pet_he_yr: 0.6775\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.4683\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.4205\nTest gain with only solar_1km: 0.802\nAUC without bio_12_etrs2_ras: 0.9116\nAUC without bio_15_etrs2_ras: 0.9146\nAUC without bio_18_etrs2_ras: 0.9123\nAUC without bio_4_etrs2_ras: 0.9165\nAUC without bio_8_etrs2_ras: 0.9128\nAUC without bld_m_sd1_1km_eu_ll: 0.9168\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9155\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9159\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9141\nAUC without dist2water1km: 0.9148\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9158\nAUC without pet_he_yr: 0.9143\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9138\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9153\nAUC without solar_1km: 0.9156\nAUC with only bio_12_etrs2_ras: 0.8091\nAUC with only bio_15_etrs2_ras: 0.7355\nAUC with only bio_18_etrs2_ras: 0.8727\nAUC with only bio_4_etrs2_ras: 0.7958\nAUC with only bio_8_etrs2_ras: 0.7315\nAUC with only bld_m_sd1_1km_eu_ll: 0.841\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.8275\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.6895\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.8461\nAUC with only dist2water1km: 0.6871\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.8133\nAUC with only pet_he_yr: 0.8103\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.738\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.7247\nAUC with only solar_1km: 0.8229\nEntropy: 7.2763\nPrevalence (average of logistic output over background sites): 0.1296\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.034\nFixed cumulative value 1 area: 0.367\nFixed cumulative value 1 training omission: 0.0042\nFixed cumulative value 1 test omission: 0.0094\nFixed cumulative value 1 binomial probability: 8.71E-41\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1737\nFixed cumulative value 5 area: 0.2624\nFixed cumulative value 5 training omission: 0.0198\nFixed cumulative value 5 test omission: 0.0189\nFixed cumulative value 5 binomial probability: 8.86E-64\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2778\nFixed cumulative value 10 area: 0.218\nFixed cumulative value 10 training omission: 0.0605\nFixed cumulative value 10 test omission: 0.066\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.1331\nMinimum training presence logistic threshold: 0.0029\nMinimum training presence area: 0.5764\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0094\nMinimum training presence binomial probability: 3.07E-18\n10 percentile training presence cumulative threshold: 14.8042\n10 percentile training presence logistic threshold: 0.3391\n10 percentile training presence area: 0.1894\n10 percentile training presence training omission: 0.098\n10 percentile training presence test omission: 0.1038\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 20.4419\nEqual training sensitivity and specificity logistic threshold: 0.4021\nEqual training sensitivity and specificity area: 0.1638\nEqual training sensitivity and specificity training omission: 0.1637\nEqual training sensitivity and specificity test omission: 0.1604\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 11.9667\nMaximum training sensitivity plus specificity logistic threshold: 0.3043\nMaximum training sensitivity plus specificity area: 0.2052\nMaximum training sensitivity plus specificity training omission: 0.0657\nMaximum training sensitivity plus specificity test omission: 0.0755\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 21.2496\nEqual test sensitivity and specificity logistic threshold: 0.4111\nEqual test sensitivity and specificity area: 0.1608\nEqual test sensitivity and specificity training omission: 0.1741\nEqual test sensitivity and specificity test omission: 0.1604\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 9.9828\nMaximum test sensitivity plus specificity logistic threshold: 0.2778\nMaximum test sensitivity plus specificity area: 0.2182\nMaximum test sensitivity plus specificity training omission: 0.0594\nMaximum test sensitivity plus specificity test omission: 0.0472\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 2.1433\nBalance training omission, predicted area and threshold value logistic threshold: 0.0811\nBalance training omission, predicted area and threshold value area: 0.3151\nBalance training omission, predicted area and threshold value training omission: 0.0052\nBalance training omission, predicted area and threshold value test omission: 0.0094\nBalance training omission, predicted area and threshold value binomial probability: 5.64E-51\nEquate entropy of thresholded and original distributions cumulative threshold: 4.8118\nEquate entropy of thresholded and original distributions logistic threshold: 0.1689\nEquate entropy of thresholded and original distributions area: 0.265\nEquate entropy of thresholded and original distributions training omission: 0.0188\nEquate entropy of thresholded and original distributions test omission: 0.0189\nEquate entropy of thresholded and original distributions binomial probability: 5.86E-63", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Pinus mugo does not occur in Scandinavia and therefore the prediction in this area should be ignored.\n \n Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "744c9856-3769-4e93-8631-41e4e6e16a1b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-3_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.3, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 979, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744c9856-3769-4e93-8631-41e4e6e16a1b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 850\nRegularized training gain: 1.579\nUnregularized training gain: 1.6753\nIterations: 500\nTraining AUC: 0.9318\n#Test samples: 94\nTest gain: 1.4433\nTest AUC: 0.9149\nAUC Standard Deviation: 0.0084\n#Background points: 10542\nbio_12_etrs2_ras contribution: 0.3599\nbio_15_etrs2_ras contribution: 2.2413\nbio_18_etrs2_ras contribution: 28.0611\nbio_4_etrs2_ras contribution: 9.4465\nbio_8_etrs2_ras contribution: 3.8968\ndist2water1km contribution: 0.4626\npet_he_yr contribution: 53.4946\nsoil_ph contribution: 0.4755\nsolar_1km contribution: 1.5617\nbio_12_etrs2_ras permutation importance: 0.1612\nbio_15_etrs2_ras permutation importance: 2.9464\nbio_18_etrs2_ras permutation importance: 24.0044\nbio_4_etrs2_ras permutation importance: 8.3821\nbio_8_etrs2_ras permutation importance: 6.1187\ndist2water1km permutation importance: 0.448\npet_he_yr permutation importance: 56.7382\nsoil_ph permutation importance: 0.5336\nsolar_1km permutation importance: 0.6673\nTraining gain without bio_12_etrs2_ras: 1.58\nTraining gain without bio_15_etrs2_ras: 1.5636\nTraining gain without bio_18_etrs2_ras: 1.5626\nTraining gain without bio_4_etrs2_ras: 1.4877\nTraining gain without bio_8_etrs2_ras: 1.5611\nTraining gain without dist2water1km: 1.5766\nTraining gain without pet_he_yr: 1.4338\nTraining gain without soil_ph: 1.5758\nTraining gain without solar_1km: 1.5753\nTraining gain with only bio_12_etrs2_ras: 0.2344\nTraining gain with only bio_15_etrs2_ras: 0.4425\nTraining gain with only bio_18_etrs2_ras: 1.051\nTraining gain with only bio_4_etrs2_ras: 0.1817\nTraining gain with only bio_8_etrs2_ras: 0.4426\nTraining gain with only dist2water1km: 0.1343\nTraining gain with only pet_he_yr: 1.1858\nTraining gain with only soil_ph: 0.2315\nTraining gain with only solar_1km: 0.322\nTest gain without bio_12_etrs2_ras: 1.4474\nTest gain without bio_15_etrs2_ras: 1.4183\nTest gain without bio_18_etrs2_ras: 1.4275\nTest gain without bio_4_etrs2_ras: 1.3652\nTest gain without bio_8_etrs2_ras: 1.427\nTest gain without dist2water1km: 1.424\nTest gain without pet_he_yr: 1.3804\nTest gain without soil_ph: 1.4429\nTest gain without solar_1km: 1.4579\nTest gain with only bio_12_etrs2_ras: 0.2554\nTest gain with only bio_15_etrs2_ras: 0.621\nTest gain with only bio_18_etrs2_ras: 1.0381\nTest gain with only bio_4_etrs2_ras: 0.1858\nTest gain with only bio_8_etrs2_ras: 0.3027\nTest gain with only dist2water1km: 0.3277\nTest gain with only pet_he_yr: 1.017\nTest gain with only soil_ph: 0.2343\nTest gain with only solar_1km: 0.2003\nAUC without bio_12_etrs2_ras: 0.9153\nAUC without bio_15_etrs2_ras: 0.9124\nAUC without bio_18_etrs2_ras: 0.9141\nAUC without bio_4_etrs2_ras: 0.9074\nAUC without bio_8_etrs2_ras: 0.9127\nAUC without dist2water1km: 0.9133\nAUC without pet_he_yr: 0.9073\nAUC without soil_ph: 0.9149\nAUC without solar_1km: 0.9161\nAUC with only bio_12_etrs2_ras: 0.6422\nAUC with only bio_15_etrs2_ras: 0.7525\nAUC with only bio_18_etrs2_ras: 0.8578\nAUC with only bio_4_etrs2_ras: 0.6673\nAUC with only bio_8_etrs2_ras: 0.7115\nAUC with only dist2water1km: 0.7243\nAUC with only pet_he_yr: 0.8699\nAUC with only soil_ph: 0.6524\nAUC with only solar_1km: 0.6632\nEntropy: 7.6952\nPrevalence (average of logistic output over background sites): 0.1001\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0136\nFixed cumulative value 1 area: 0.435\nFixed cumulative value 1 training omission: 0.0024\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.11E-28\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1087\nFixed cumulative value 5 area: 0.2298\nFixed cumulative value 5 training omission: 0.0247\nFixed cumulative value 5 test omission: 0.0532\nFixed cumulative value 5 binomial probability: 1.28E-61\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2088\nFixed cumulative value 10 area: 0.1745\nFixed cumulative value 10 training omission: 0.0647\nFixed cumulative value 10 test omission: 0.0957\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0896\nMinimum training presence logistic threshold: 0.0021\nMinimum training presence area: 0.7104\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.00E-10\n10 percentile training presence cumulative threshold: 14.1528\n10 percentile training presence logistic threshold: 0.2821\n10 percentile training presence area: 0.148\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1702\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 17.606\nEqual training sensitivity and specificity logistic threshold: 0.3326\nEqual training sensitivity and specificity area: 0.1319\nEqual training sensitivity and specificity training omission: 0.1318\nEqual training sensitivity and specificity test omission: 0.2021\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9669\nMaximum training sensitivity plus specificity logistic threshold: 0.1891\nMaximum training sensitivity plus specificity area: 0.1832\nMaximum training sensitivity plus specificity training omission: 0.0482\nMaximum training sensitivity plus specificity test omission: 0.0851\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 13.5167\nEqual test sensitivity and specificity logistic threshold: 0.2725\nEqual test sensitivity and specificity area: 0.1514\nEqual test sensitivity and specificity training omission: 0.0953\nEqual test sensitivity and specificity test omission: 0.1489\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 11.4636\nMaximum test sensitivity plus specificity logistic threshold: 0.2374\nMaximum test sensitivity plus specificity area: 0.1638\nMaximum test sensitivity plus specificity training omission: 0.0706\nMaximum test sensitivity plus specificity test omission: 0.0957\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 2.5256\nBalance training omission, predicted area and threshold value logistic threshold: 0.0424\nBalance training omission, predicted area and threshold value area: 0.299\nBalance training omission, predicted area and threshold value training omission: 0.0094\nBalance training omission, predicted area and threshold value test omission: 0.0426\nBalance training omission, predicted area and threshold value binomial probability: 1.70E-44\nEquate entropy of thresholded and original distributions cumulative threshold: 6.5111\nEquate entropy of thresholded and original distributions logistic threshold: 0.1464\nEquate entropy of thresholded and original distributions area: 0.2084\nEquate entropy of thresholded and original distributions training omission: 0.0365\nEquate entropy of thresholded and original distributions test omission: 0.0745\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d458b537-93ed-40e6-8bcc-0849dbfbc137", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1g_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1g distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 980, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d458b537-93ed-40e6-8bcc-0849dbfbc137", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1g_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d7e94bfb-caa9-4449-87ed-146de0aa0fd0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-1_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.1, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 981, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d7e94bfb-caa9-4449-87ed-146de0aa0fd0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1489\nRegularized training gain: 0.8786\nUnregularized training gain: 0.9883\nIterations: 500\nTraining AUC: 0.8625\n#Test samples: 165\nTest gain: 0.9143\nTest AUC: 0.8529\nAUC Standard Deviation: 0.0119\n#Background points: 11169\nbio_12_etrs2_ras contribution: 11.4437\nbio_15_etrs2_ras contribution: 1.3648\nbio_18_etrs2_ras contribution: 2.8407\nbio_4_etrs2_ras contribution: 4.7345\nbio_8_etrs2_ras contribution: 0.6319\ndist2water1km contribution: 40.9207\npet_he_yr contribution: 1.6611\nsoil_ph contribution: 10.1855\nsolar_1km contribution: 26.2171\nbio_12_etrs2_ras permutation importance: 11.3268\nbio_15_etrs2_ras permutation importance: 1.6465\nbio_18_etrs2_ras permutation importance: 4.6985\nbio_4_etrs2_ras permutation importance: 7.5938\nbio_8_etrs2_ras permutation importance: 1.8004\ndist2water1km permutation importance: 25.7202\npet_he_yr permutation importance: 5.9374\nsoil_ph permutation importance: 4.1727\nsolar_1km permutation importance: 37.1036\nTraining gain without bio_12_etrs2_ras: 0.8633\nTraining gain without bio_15_etrs2_ras: 0.8734\nTraining gain without bio_18_etrs2_ras: 0.8679\nTraining gain without bio_4_etrs2_ras: 0.8463\nTraining gain without bio_8_etrs2_ras: 0.8761\nTraining gain without dist2water1km: 0.7448\nTraining gain without pet_he_yr: 0.8665\nTraining gain without soil_ph: 0.8534\nTraining gain without solar_1km: 0.7982\nTraining gain with only bio_12_etrs2_ras: 0.25\nTraining gain with only bio_15_etrs2_ras: 0.0653\nTraining gain with only bio_18_etrs2_ras: 0.2028\nTraining gain with only bio_4_etrs2_ras: 0.1288\nTraining gain with only bio_8_etrs2_ras: 0.1852\nTraining gain with only dist2water1km: 0.4387\nTraining gain with only pet_he_yr: 0.1225\nTraining gain with only soil_ph: 0.2414\nTraining gain with only solar_1km: 0.4196\nTest gain without bio_12_etrs2_ras: 0.8848\nTest gain without bio_15_etrs2_ras: 0.9116\nTest gain without bio_18_etrs2_ras: 0.8876\nTest gain without bio_4_etrs2_ras: 0.8892\nTest gain without bio_8_etrs2_ras: 0.914\nTest gain without dist2water1km: 0.8281\nTest gain without pet_he_yr: 0.8798\nTest gain without soil_ph: 0.8666\nTest gain without solar_1km: 0.8736\nTest gain with only bio_12_etrs2_ras: 0.2876\nTest gain with only bio_15_etrs2_ras: 0.0824\nTest gain with only bio_18_etrs2_ras: 0.2579\nTest gain with only bio_4_etrs2_ras: 0.1585\nTest gain with only bio_8_etrs2_ras: 0.216\nTest gain with only dist2water1km: 0.4202\nTest gain with only pet_he_yr: 0.1535\nTest gain with only soil_ph: 0.3495\nTest gain with only solar_1km: 0.4271\nAUC without bio_12_etrs2_ras: 0.8481\nAUC without bio_15_etrs2_ras: 0.8526\nAUC without bio_18_etrs2_ras: 0.8481\nAUC without bio_4_etrs2_ras: 0.8484\nAUC without bio_8_etrs2_ras: 0.8531\nAUC without dist2water1km: 0.8363\nAUC without pet_he_yr: 0.8472\nAUC without soil_ph: 0.8453\nAUC without solar_1km: 0.8467\nAUC with only bio_12_etrs2_ras: 0.7044\nAUC with only bio_15_etrs2_ras: 0.5956\nAUC with only bio_18_etrs2_ras: 0.6875\nAUC with only bio_4_etrs2_ras: 0.6473\nAUC with only bio_8_etrs2_ras: 0.6719\nAUC with only dist2water1km: 0.7473\nAUC with only pet_he_yr: 0.6419\nAUC with only soil_ph: 0.6934\nAUC with only solar_1km: 0.7506\nEntropy: 8.4433\nPrevalence (average of logistic output over background sites): 0.2021\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0405\nFixed cumulative value 1 area: 0.7597\nFixed cumulative value 1 training omission: 0.0094\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.51E-13\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1056\nFixed cumulative value 5 area: 0.5452\nFixed cumulative value 5 training omission: 0.0383\nFixed cumulative value 5 test omission: 0.0182\nFixed cumulative value 5 binomial probability: 9.91E-30\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1685\nFixed cumulative value 10 area: 0.4134\nFixed cumulative value 10 training omission: 0.0779\nFixed cumulative value 10 test omission: 0.097\nFixed cumulative value 10 binomial probability: 1.17E-37\nMinimum training presence cumulative threshold: 0.0001\nMinimum training presence logistic threshold: 0.0003\nMinimum training presence area: 0.998\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.84E-01\n10 percentile training presence cumulative threshold: 13.3513\n10 percentile training presence logistic threshold: 0.206\n10 percentile training presence area: 0.3526\n10 percentile training presence training omission: 0.0994\n10 percentile training presence test omission: 0.1152\n10 percentile training presence binomial probability: 9.44E-47\nEqual training sensitivity and specificity cumulative threshold: 27.0575\nEqual training sensitivity and specificity logistic threshold: 0.3563\nEqual training sensitivity and specificity area: 0.2008\nEqual training sensitivity and specificity training omission: 0.2008\nEqual training sensitivity and specificity test omission: 0.2545\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 25.7803\nMaximum training sensitivity plus specificity logistic threshold: 0.3404\nMaximum training sensitivity plus specificity area: 0.2108\nMaximum training sensitivity plus specificity training omission: 0.188\nMaximum training sensitivity plus specificity test omission: 0.2424\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 24.1451\nEqual test sensitivity and specificity logistic threshold: 0.3221\nEqual test sensitivity and specificity area: 0.2245\nEqual test sensitivity and specificity training omission: 0.178\nEqual test sensitivity and specificity test omission: 0.2242\nEqual test sensitivity and specificity binomial probability: 6.52E-65\nMaximum test sensitivity plus specificity cumulative threshold: 19.5854\nMaximum test sensitivity plus specificity logistic threshold: 0.273\nMaximum test sensitivity plus specificity area: 0.2696\nMaximum test sensitivity plus specificity training omission: 0.1357\nMaximum test sensitivity plus specificity test omission: 0.1636\nMaximum test sensitivity plus specificity binomial probability: 8.56E-61\nBalance training omission, predicted area and threshold value cumulative threshold: 2.8408\nBalance training omission, predicted area and threshold value logistic threshold: 0.0756\nBalance training omission, predicted area and threshold value area: 0.636\nBalance training omission, predicted area and threshold value training omission: 0.0215\nBalance training omission, predicted area and threshold value test omission: 0.0121\nBalance training omission, predicted area and threshold value binomial probability: 2.91E-21\nEquate entropy of thresholded and original distributions cumulative threshold: 9.8948\nEquate entropy of thresholded and original distributions logistic threshold: 0.1678\nEquate entropy of thresholded and original distributions area: 0.4156\nEquate entropy of thresholded and original distributions training omission: 0.0779\nEquate entropy of thresholded and original distributions test omission: 0.097\nEquate entropy of thresholded and original distributions binomial probability: 2.80E-37", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "0dd3dbf1-9511-48bf-88c8-60e4287f71f0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.4b, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 982, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0dd3dbf1-9511-48bf-88c8-60e4287f71f0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-4b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 626\nRegularized training gain: 1.7\nUnregularized training gain: 1.8107\nIterations: 500\nTraining AUC: 0.9407\n#Test samples: 69\nTest gain: 1.5297\nTest AUC: 0.9227\nAUC Standard Deviation: 0.0093\n#Background points: 10625\nbio_12_etrs2_ras contribution: 22.076\nbio_15_etrs2_ras contribution: 0.5145\nbio_18_etrs2_ras contribution: 12.9617\nbio_4_etrs2_ras contribution: 43.4162\nbio_8_etrs2_ras contribution: 0.1465\ndist2water1km contribution: 2.2883\npet_he_yr contribution: 11.6566\nsoil_ph contribution: 5.7035\nsolar_1km contribution: 1.2367\nbio_12_etrs2_ras permutation importance: 10.2565\nbio_15_etrs2_ras permutation importance: 1.3545\nbio_18_etrs2_ras permutation importance: 6.7089\nbio_4_etrs2_ras permutation importance: 61.4969\nbio_8_etrs2_ras permutation importance: 0.6942\ndist2water1km permutation importance: 3.5802\npet_he_yr permutation importance: 10.397\nsoil_ph permutation importance: 4.377\nsolar_1km permutation importance: 1.1348\nEntropy: 7.5744\nPrevalence (average of logistic output over background sites): 0.0894\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0327\nFixed cumulative value 1 area: 0.2688\nFixed cumulative value 1 training omission: 0.0032\nFixed cumulative value 1 test omission: 0.029\nFixed cumulative value 1 binomial probability: 7.74E-40\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1561\nFixed cumulative value 5 area: 0.1932\nFixed cumulative value 5 training omission: 0.024\nFixed cumulative value 5 test omission: 0.058\nFixed cumulative value 5 binomial probability: 3.23E-56\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2478\nFixed cumulative value 10 area: 0.1572\nFixed cumulative value 10 training omission: 0.0511\nFixed cumulative value 10 test omission: 0.1159\nFixed cumulative value 10 binomial probability: 4.17E-62\nMinimum training presence cumulative threshold: 0.1683\nMinimum training presence logistic threshold: 0.0016\nMinimum training presence area: 0.4803\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.79E-18\n10 percentile training presence cumulative threshold: 16.1896\n10 percentile training presence logistic threshold: 0.3254\n10 percentile training presence area: 0.1289\n10 percentile training presence training omission: 0.099\n10 percentile training presence test omission: 0.2029\n10 percentile training presence binomial probability: 6.67E-62\nEqual training sensitivity and specificity cumulative threshold: 19.7107\nEqual training sensitivity and specificity logistic threshold: 0.3572\nEqual training sensitivity and specificity area: 0.1166\nEqual training sensitivity and specificity training omission: 0.1166\nEqual training sensitivity and specificity test omission: 0.2174\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 10.6461\nMaximum training sensitivity plus specificity logistic threshold: 0.2555\nMaximum training sensitivity plus specificity area: 0.1536\nMaximum training sensitivity plus specificity training omission: 0.0527\nMaximum training sensitivity plus specificity test omission: 0.1159\nMaximum training sensitivity plus specificity binomial probability: 7.59E-64\nEqual test sensitivity and specificity cumulative threshold: 12.7449\nEqual test sensitivity and specificity logistic threshold: 0.284\nEqual test sensitivity and specificity area: 0.1433\nEqual test sensitivity and specificity training omission: 0.0783\nEqual test sensitivity and specificity test omission: 0.1449\nEqual test sensitivity and specificity binomial probability: 3.65E-64\nMaximum test sensitivity plus specificity cumulative threshold: 4.8975\nMaximum test sensitivity plus specificity logistic threshold: 0.1541\nMaximum test sensitivity plus specificity area: 0.1943\nMaximum test sensitivity plus specificity training omission: 0.024\nMaximum test sensitivity plus specificity test omission: 0.0435\nMaximum test sensitivity plus specificity binomial probability: 5.95E-58\nBalance training omission, predicted area and threshold value cumulative threshold: 1.5987\nBalance training omission, predicted area and threshold value logistic threshold: 0.0591\nBalance training omission, predicted area and threshold value area: 0.2456\nBalance training omission, predicted area and threshold value training omission: 0.0048\nBalance training omission, predicted area and threshold value test omission: 0.029\nBalance training omission, predicted area and threshold value binomial probability: 7.71E-45\nEquate entropy of thresholded and original distributions cumulative threshold: 6.11\nEquate entropy of thresholded and original distributions logistic threshold: 0.182\nEquate entropy of thresholded and original distributions area: 0.1832\nEquate entropy of thresholded and original distributions training omission: 0.0319\nEquate entropy of thresholded and original distributions test omission: 0.058\nEquate entropy of thresholded and original distributions binomial probability: 5.61E-60", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "172541f2-08b8-489d-9193-72a5e75f53ca", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-E_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.E, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 983, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/172541f2-08b8-489d-9193-72a5e75f53ca", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-e_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 433\nRegularized training gain: 1.8688\nUnregularized training gain: 2.0466\nIterations: 500\nTraining AUC: 0.952\n#Test samples: 48\nTest gain: 1.7982\nTest AUC: 0.9356\nAUC Standard Deviation: 0.0107\n#Background points: 10433\nbio_12_etrs2_ras contribution: 0.6425\nbio_15_etrs2_ras contribution: 0.9937\nbio_18_etrs2_ras contribution: 54.2453\nbio_4_etrs2_ras contribution: 17.9736\nbio_8_etrs2_ras contribution: 6.9313\ndist2water1km contribution: 0.1149\npet_he_yr contribution: 15.7111\nsoil_ph contribution: 1.4725\nsolar_1km contribution: 1.915\nbio_12_etrs2_ras permutation importance: 2.3699\nbio_15_etrs2_ras permutation importance: 1.982\nbio_18_etrs2_ras permutation importance: 32.5319\nbio_4_etrs2_ras permutation importance: 42.9618\nbio_8_etrs2_ras permutation importance: 3.9506\ndist2water1km permutation importance: 0.0751\npet_he_yr permutation importance: 14.7719\nsoil_ph permutation importance: 0.8976\nsolar_1km permutation importance: 0.4593\nEntropy: 7.4024\nPrevalence (average of logistic output over background sites): 0.0752\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0185\nFixed cumulative value 1 area: 0.3413\nFixed cumulative value 1 training omission: 0.0023\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 3.15E-22\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0863\nFixed cumulative value 5 area: 0.2157\nFixed cumulative value 5 training omission: 0.03\nFixed cumulative value 5 test omission: 0.0833\nFixed cumulative value 5 binomial probability: 1.76E-32\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1519\nFixed cumulative value 10 area: 0.1571\nFixed cumulative value 10 training omission: 0.0693\nFixed cumulative value 10 test omission: 0.1458\nFixed cumulative value 10 binomial probability: 1.69E-40\nMinimum training presence cumulative threshold: 0.444\nMinimum training presence logistic threshold: 0.0062\nMinimum training presence area: 0.4207\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.14E-16\n10 percentile training presence cumulative threshold: 15.5122\n10 percentile training presence logistic threshold: 0.214\n10 percentile training presence area: 0.1181\n10 percentile training presence training omission: 0.0993\n10 percentile training presence test omission: 0.1667\n10 percentile training presence binomial probability: 1.63E-53\nEqual training sensitivity and specificity cumulative threshold: 16.2269\nEqual training sensitivity and specificity logistic threshold: 0.2225\nEqual training sensitivity and specificity area: 0.1141\nEqual training sensitivity and specificity training omission: 0.1132\nEqual training sensitivity and specificity test omission: 0.1667\nEqual training sensitivity and specificity binomial probability: 1.10E-55\nMaximum training sensitivity plus specificity cumulative threshold: 13.4386\nMaximum training sensitivity plus specificity logistic threshold: 0.1912\nMaximum training sensitivity plus specificity area: 0.1309\nMaximum training sensitivity plus specificity training omission: 0.0855\nMaximum training sensitivity plus specificity test omission: 0.1458\nMaximum training sensitivity plus specificity binomial probability: 3.26E-50\nEqual test sensitivity and specificity cumulative threshold: 11.3765\nEqual test sensitivity and specificity logistic threshold: 0.1668\nEqual test sensitivity and specificity area: 0.1458\nEqual test sensitivity and specificity training omission: 0.0716\nEqual test sensitivity and specificity test omission: 0.1458\nEqual test sensitivity and specificity binomial probability: 2.86E-44\nMaximum test sensitivity plus specificity cumulative threshold: 2.8672\nMaximum test sensitivity plus specificity logistic threshold: 0.0568\nMaximum test sensitivity plus specificity area: 0.2599\nMaximum test sensitivity plus specificity training omission: 0.0092\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 7.17E-32\nBalance training omission, predicted area and threshold value cumulative threshold: 2.2404\nBalance training omission, predicted area and threshold value logistic threshold: 0.0445\nBalance training omission, predicted area and threshold value area: 0.2784\nBalance training omission, predicted area and threshold value training omission: 0.0046\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 3.47E-29\nEquate entropy of thresholded and original distributions cumulative threshold: 10.0045\nEquate entropy of thresholded and original distributions logistic threshold: 0.1519\nEquate entropy of thresholded and original distributions area: 0.1571\nEquate entropy of thresholded and original distributions training omission: 0.0693\nEquate entropy of thresholded and original distributions test omission: 0.1458\nEquate entropy of thresholded and original distributions binomial probability: 1.69E-40", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7a0fec13-ca9b-4456-9908-4505659ad731", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-4_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.4 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 984, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a0fec13-ca9b-4456-9908-4505659ad731", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g2-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "83268aa7-6add-4b4d-970f-29a958ab7acf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.9a, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 985, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83268aa7-6add-4b4d-970f-29a958ab7acf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-9a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 155\nRegularized training gain: 1.9349\nUnregularized training gain: 2.3231\nIterations: 500\nTraining AUC: 0.9576\n#Test samples: 17\nTest gain: 2.1608\nTest AUC: 0.964\nAUC Standard Deviation: 0.0112\n#Background points: 10155\nbio_12_etrs2_ras contribution: 0.9202\nbio_15_etrs2_ras contribution: 2.9875\nbio_18_etrs2_ras contribution: 6.4517\nbio_4_etrs2_ras contribution: 43.4382\nbio_8_etrs2_ras contribution: 4.5974\ndist2water1km contribution: 3.3867\npet_he_yr contribution: 34.4928\nsoil_ph contribution: 1.1712\nsolar_1km contribution: 2.5543\nbio_12_etrs2_ras permutation importance: 1.3058\nbio_15_etrs2_ras permutation importance: 2.3516\nbio_18_etrs2_ras permutation importance: 3.5757\nbio_4_etrs2_ras permutation importance: 47.6319\nbio_8_etrs2_ras permutation importance: 1.9908\ndist2water1km permutation importance: 1.6822\npet_he_yr permutation importance: 38.5628\nsoil_ph permutation importance: 1.1008\nsolar_1km permutation importance: 1.7984\nEntropy: 7.3166\nPrevalence (average of logistic output over background sites): 0.0713\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0103\nFixed cumulative value 1 area: 0.4663\nFixed cumulative value 1 training omission: 0.0065\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.33E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0566\nFixed cumulative value 5 area: 0.2313\nFixed cumulative value 5 training omission: 0.0258\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.55E-11\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.148\nFixed cumulative value 10 area: 0.1619\nFixed cumulative value 10 training omission: 0.0645\nFixed cumulative value 10 test omission: 0.0588\nFixed cumulative value 10 binomial probability: 3.21E-12\nMinimum training presence cumulative threshold: 0.2799\nMinimum training presence logistic threshold: 0.0036\nMinimum training presence area: 0.6285\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.72E-04\n10 percentile training presence cumulative threshold: 18.0606\n10 percentile training presence logistic threshold: 0.2274\n10 percentile training presence area: 0.1102\n10 percentile training presence training omission: 0.0968\n10 percentile training presence test omission: 0.0588\n10 percentile training presence binomial probability: 7.20E-15\nEqual training sensitivity and specificity cumulative threshold: 18.5168\nEqual training sensitivity and specificity logistic threshold: 0.232\nEqual training sensitivity and specificity area: 0.1079\nEqual training sensitivity and specificity training omission: 0.1097\nEqual training sensitivity and specificity test omission: 0.0588\nEqual training sensitivity and specificity binomial probability: 5.18E-15\nMaximum training sensitivity plus specificity cumulative threshold: 18.0606\nMaximum training sensitivity plus specificity logistic threshold: 0.2274\nMaximum training sensitivity plus specificity area: 0.1102\nMaximum training sensitivity plus specificity training omission: 0.0968\nMaximum training sensitivity plus specificity test omission: 0.0588\nMaximum training sensitivity plus specificity binomial probability: 7.20E-15\nEqual test sensitivity and specificity cumulative threshold: 32.1087\nEqual test sensitivity and specificity logistic threshold: 0.3665\nEqual test sensitivity and specificity area: 0.0588\nEqual test sensitivity and specificity training omission: 0.2194\nEqual test sensitivity and specificity test omission: 0.0588\nEqual test sensitivity and specificity binomial probability: 3.27E-19\nMaximum test sensitivity plus specificity cumulative threshold: 32.1267\nMaximum test sensitivity plus specificity logistic threshold: 0.3675\nMaximum test sensitivity plus specificity area: 0.0587\nMaximum test sensitivity plus specificity training omission: 0.2194\nMaximum test sensitivity plus specificity test omission: 0.0588\nMaximum test sensitivity plus specificity binomial probability: 3.18E-19\nBalance training omission, predicted area and threshold value cumulative threshold: 2.9492\nBalance training omission, predicted area and threshold value logistic threshold: 0.0299\nBalance training omission, predicted area and threshold value area: 0.3021\nBalance training omission, predicted area and threshold value training omission: 0.0065\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 1.45E-09\nEquate entropy of thresholded and original distributions cumulative threshold: 11.7424\nEquate entropy of thresholded and original distributions logistic threshold: 0.1689\nEquate entropy of thresholded and original distributions area: 0.1482\nEquate entropy of thresholded and original distributions training omission: 0.0839\nEquate entropy of thresholded and original distributions test omission: 0.0588\nEquate entropy of thresholded and original distributions binomial probability: 7.92E-13", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d92ff658-e1b6-4fe9-9245-6b3b2f677250", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1.5b, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 986, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d92ff658-e1b6-4fe9-9245-6b3b2f677250", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b1-5b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 27\nRegularized training gain: 4.4856\nUnregularized training gain: 4.7894\nIterations: 500\nTraining AUC: 0.9971\n#Test samples: 2\nTest gain: 5.0918\nTest AUC: 0.9984\nAUC Standard Deviation: 0.0004\n#Background points: 5027\nbio_12_etrs2_ras contribution: 0.3312\nbio_15_etrs2_ras contribution: 0.4732\nbio_18_etrs2_ras contribution: 5.0517\nbio_4_etrs2_ras contribution: 27.8413\nbio_8_etrs2_ras contribution: 3.4666\nbld_m_sd1_1km_eu_ll contribution: 1.711\ncecsum_m_sd1_1km_eu_ll contribution: 0\nclyppt_m_sd1_1km_eu_ll contribution: 0.0525\ncrfvol_m_sd1_1km_eu_ll contribution: 0.3776\ndist2water1km contribution: 48.7813\norcdrc_m_sd1_1km_eu_ll contribution: 0.2131\npet_he_yr contribution: 3.0278\nphihox_m_sd1_1km_eu_ll contribution: 0.1383\nsltppt_m_sd1_1km_eu_ll contribution: 7.4575\nsndppt_m_sd1_1km_eu_ll contribution: 1.077\nsolar_1km contribution: 0\nbio_12_etrs2_ras permutation importance: 0.061\nbio_15_etrs2_ras permutation importance: 0.0076\nbio_18_etrs2_ras permutation importance: 0\nbio_4_etrs2_ras permutation importance: 41.5688\nbio_8_etrs2_ras permutation importance: 25.52\nbld_m_sd1_1km_eu_ll permutation importance: 0.3788\ncecsum_m_sd1_1km_eu_ll permutation importance: 0\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.0153\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.0076\ndist2water1km permutation importance: 0.2593\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.0483\npet_he_yr permutation importance: 31.4162\nphihox_m_sd1_1km_eu_ll permutation importance: 0.0076\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.6712\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 0.0381\nEntropy: 4.0567\nPrevalence (average of logistic output over background sites): 0.0053\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0034\nFixed cumulative value 1 area: 0.0553\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 3.06E-03\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0367\nFixed cumulative value 5 area: 0.0189\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 3.57E-04\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1118\nFixed cumulative value 10 area: 0.0099\nFixed cumulative value 10 training omission: 0\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 9.89E-05\nMinimum training presence cumulative threshold: 15.6885\nMinimum training presence logistic threshold: 0.2643\nMinimum training presence area: 0.007\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.85E-05\n10 percentile training presence cumulative threshold: 17.868\n10 percentile training presence logistic threshold: 0.3101\n10 percentile training presence area: 0.0062\n10 percentile training presence training omission: 0.0741\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 3.80E-05\nEqual training sensitivity and specificity cumulative threshold: 15.6885\nEqual training sensitivity and specificity logistic threshold: 0.2643\nEqual training sensitivity and specificity area: 0.007\nEqual training sensitivity and specificity training omission: 0\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 4.85E-05\nMaximum training sensitivity plus specificity cumulative threshold: 15.6885\nMaximum training sensitivity plus specificity logistic threshold: 0.2643\nMaximum training sensitivity plus specificity area: 0.007\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 4.85E-05\nEqual test sensitivity and specificity cumulative threshold: 58.0778\nEqual test sensitivity and specificity logistic threshold: 0.6292\nEqual test sensitivity and specificity area: 0.0018\nEqual test sensitivity and specificity training omission: 0.6296\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 3.20E-06\nMaximum test sensitivity plus specificity cumulative threshold: 58.0778\nMaximum test sensitivity plus specificity logistic threshold: 0.6292\nMaximum test sensitivity plus specificity area: 0.0018\nMaximum test sensitivity plus specificity training omission: 0.6296\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 3.20E-06\nBalance training omission, predicted area and threshold value cumulative threshold: 1.2065\nBalance training omission, predicted area and threshold value logistic threshold: 0.0046\nBalance training omission, predicted area and threshold value area: 0.0495\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.45E-03\nEquate entropy of thresholded and original distributions cumulative threshold: 8.7216\nEquate entropy of thresholded and original distributions logistic threshold: 0.081\nEquate entropy of thresholded and original distributions area: 0.0113\nEquate entropy of thresholded and original distributions training omission: 0\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 1.29E-04", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\n\t\t\tRemarks: Inland prediction should be ignored. Hardly any prediction in the along the French coast.\n \n Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1)tThe area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "4bc1268d-cebd-499b-b1e3-8157566fa923", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1f_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1f distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 987, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bc1268d-cebd-499b-b1e3-8157566fa923", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1f_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "62e1e107-a02a-49c8-80ea-b257a6fad7e8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-7_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1.7 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 988, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62e1e107-a02a-49c8-80ea-b257a6fad7e8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b1-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "46be7e7a-0445-4921-9828-b1b1e32d3f99", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-B_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.B distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 989, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46be7e7a-0445-4921-9828-b1b1e32d3f99", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "839577cc-9100-4547-b800-dbc42efbfa78", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-7_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.7 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 990, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/839577cc-9100-4547-b800-dbc42efbfa78", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "68ade09a-e970-4ad1-90cb-f2353a087ae1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-4_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5.4, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 991, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68ade09a-e970-4ad1-90cb-f2353a087ae1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f5-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 65\nRegularized training gain: 2.9405\nUnregularized training gain: 3.2711\nIterations: 500\nTraining AUC: 0.9873\n#Test samples: 7\nTest gain: 3.0121\nTest AUC: 0.9804\nAUC Standard Deviation: 0.0109\n#Background points: 5065\nbio_12_etrs2_ras contribution: 18.9034\nbio_15_etrs2_ras contribution: 3.7847\nbio_18_etrs2_ras contribution: 2.6968\nbio_4_etrs2_ras contribution: 22.7849\nbio_8_etrs2_ras contribution: 6.4925\nbld_m_sd1_1km_eu_ll contribution: 1.4665\ncecsum_m_sd1_1km_eu_ll contribution: 0.0768\nclyppt_m_sd1_1km_eu_ll contribution: 26.3259\ncrfvol_m_sd1_1km_eu_ll contribution: 0.7765\ndist2water1km contribution: 0.0908\norcdrc_m_sd1_1km_eu_ll contribution: 0.1728\npet_he_yr contribution: 0.0964\nphihox_m_sd1_1km_eu_ll contribution: 13.4566\nsltppt_m_sd1_1km_eu_ll contribution: 2.8043\nsndppt_m_sd1_1km_eu_ll contribution: 0.0555\nsolar_1km contribution: 0.0156\nbio_12_etrs2_ras permutation importance: 20.5001\nbio_15_etrs2_ras permutation importance: 1.5151\nbio_18_etrs2_ras permutation importance: 1.2774\nbio_4_etrs2_ras permutation importance: 15.5413\nbio_8_etrs2_ras permutation importance: 8.992\nbld_m_sd1_1km_eu_ll permutation importance: 1.3218\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.8194\nclyppt_m_sd1_1km_eu_ll permutation importance: 17.5782\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.5392\ndist2water1km permutation importance: 0.2821\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.8542\npet_he_yr permutation importance: 1.4146\nphihox_m_sd1_1km_eu_ll permutation importance: 17.5221\nsltppt_m_sd1_1km_eu_ll permutation importance: 9.9235\nsndppt_m_sd1_1km_eu_ll permutation importance: 1.8842\nsolar_1km permutation importance: 0.0348\nEntropy: 5.5959\nPrevalence (average of logistic output over background sites): 0.0248\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0065\nFixed cumulative value 1 area: 0.2047\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.51E-05\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0403\nFixed cumulative value 5 area: 0.0847\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0.1429\nFixed cumulative value 5 binomial probability: 2.40E-06\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.128\nFixed cumulative value 10 area: 0.0501\nFixed cumulative value 10 training omission: 0.0154\nFixed cumulative value 10 test omission: 0.1429\nFixed cumulative value 10 binomial probability: 1.06E-07\nMinimum training presence cumulative threshold: 6.9779\nMinimum training presence logistic threshold: 0.0684\nMinimum training presence area: 0.0661\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.1429\nMinimum training presence binomial probability: 5.53E-07\n10 percentile training presence cumulative threshold: 19.326\n10 percentile training presence logistic threshold: 0.2902\n10 percentile training presence area: 0.0296\n10 percentile training presence training omission: 0.0923\n10 percentile training presence test omission: 0.1429\n10 percentile training presence binomial probability: 4.60E-09\nEqual training sensitivity and specificity cumulative threshold: 15.779\nEqual training sensitivity and specificity logistic threshold: 0.2199\nEqual training sensitivity and specificity area: 0.0351\nEqual training sensitivity and specificity training omission: 0.0308\nEqual training sensitivity and specificity test omission: 0.1429\nEqual training sensitivity and specificity binomial probability: 1.28E-08\nMaximum training sensitivity plus specificity cumulative threshold: 15.4687\nMaximum training sensitivity plus specificity logistic threshold: 0.2166\nMaximum training sensitivity plus specificity area: 0.0357\nMaximum training sensitivity plus specificity training omission: 0.0154\nMaximum training sensitivity plus specificity test omission: 0.1429\nMaximum training sensitivity plus specificity binomial probability: 1.41E-08\nEqual test sensitivity and specificity cumulative threshold: 4.7332\nEqual test sensitivity and specificity logistic threshold: 0.038\nEqual test sensitivity and specificity area: 0.0883\nEqual test sensitivity and specificity training omission: 0\nEqual test sensitivity and specificity test omission: 0.1429\nEqual test sensitivity and specificity binomial probability: 3.06E-06\nMaximum test sensitivity plus specificity cumulative threshold: 4.7311\nMaximum test sensitivity plus specificity logistic threshold: 0.0379\nMaximum test sensitivity plus specificity area: 0.0883\nMaximum test sensitivity plus specificity training omission: 0\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 4.17E-08\nBalance training omission, predicted area and threshold value cumulative threshold: 2.8276\nBalance training omission, predicted area and threshold value logistic threshold: 0.0207\nBalance training omission, predicted area and threshold value area: 0.1232\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 4.31E-07\nEquate entropy of thresholded and original distributions cumulative threshold: 9.29\nEquate entropy of thresholded and original distributions logistic threshold: 0.1101\nEquate entropy of thresholded and original distributions area: 0.0531\nEquate entropy of thresholded and original distributions training omission: 0.0154\nEquate entropy of thresholded and original distributions test omission: 0.1429\nEquate entropy of thresholded and original distributions binomial probability: 1.50E-07", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Poor prediction for Spain due to lack of data. Spartium junceum actually occurs throughout Spain.\n \n Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "952c93a2-6ff5-4908-9528-01bddb6fdb8f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.6a, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 992, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/952c93a2-6ff5-4908-9528-01bddb6fdb8f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-6a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 3833\nRegularized training gain: 0.7296\nUnregularized training gain: 0.7715\nIterations: 500\nTraining AUC: 0.8144\n#Test samples: 425\nTest gain: 0.7372\nTest AUC: 0.8091\nAUC Standard Deviation: 0.0068\n#Background points: 13831\nbio_12_etrs2_ras contribution: 7.2249\nbio_15_etrs2_ras contribution: 1.3313\nbio_18_etrs2_ras contribution: 5.0275\nbio_4_etrs2_ras contribution: 57.2887\nbio_8_etrs2_ras contribution: 0.1087\ndist2water1km contribution: 0.099\npet_he_yr contribution: 25.3307\nsoil_ph contribution: 0.2365\nsolar_1km contribution: 3.3526\nbio_12_etrs2_ras permutation importance: 6.7298\nbio_15_etrs2_ras permutation importance: 2.9637\nbio_18_etrs2_ras permutation importance: 3.5609\nbio_4_etrs2_ras permutation importance: 60.7858\nbio_8_etrs2_ras permutation importance: 0.5247\ndist2water1km permutation importance: 0.5285\npet_he_yr permutation importance: 20.3984\nsoil_ph permutation importance: 0.6564\nsolar_1km permutation importance: 3.8518\nEntropy: 8.8058\nPrevalence (average of logistic output over background sites): 0.2375\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0703\nFixed cumulative value 1 area: 0.5494\nFixed cumulative value 1 training omission: 0.0055\nFixed cumulative value 1 test omission: 0.0118\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2449\nFixed cumulative value 5 area: 0.4424\nFixed cumulative value 5 training omission: 0.0324\nFixed cumulative value 5 test omission: 0.0447\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3549\nFixed cumulative value 10 area: 0.3875\nFixed cumulative value 10 training omission: 0.0788\nFixed cumulative value 10 test omission: 0.0776\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0905\nMinimum training presence logistic threshold: 0.0045\nMinimum training presence area: 0.7482\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0047\nMinimum training presence binomial probability: 4.13E-32\n10 percentile training presence cumulative threshold: 12.1187\n10 percentile training presence logistic threshold: 0.3765\n10 percentile training presence area: 0.3699\n10 percentile training presence training omission: 0.0999\n10 percentile training presence test omission: 0.0847\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 28.4686\nEqual training sensitivity and specificity logistic threshold: 0.4751\nEqual training sensitivity and specificity area: 0.2656\nEqual training sensitivity and specificity training omission: 0.2656\nEqual training sensitivity and specificity test omission: 0.2565\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9074\nMaximum training sensitivity plus specificity logistic threshold: 0.3398\nMaximum training sensitivity plus specificity area: 0.3974\nMaximum training sensitivity plus specificity training omission: 0.0663\nMaximum training sensitivity plus specificity test omission: 0.0706\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 28.8768\nEqual test sensitivity and specificity logistic threshold: 0.4768\nEqual test sensitivity and specificity area: 0.2635\nEqual test sensitivity and specificity training omission: 0.269\nEqual test sensitivity and specificity test omission: 0.2635\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 12.1714\nMaximum test sensitivity plus specificity logistic threshold: 0.3772\nMaximum test sensitivity plus specificity area: 0.3695\nMaximum test sensitivity plus specificity training omission: 0.1002\nMaximum test sensitivity plus specificity test omission: 0.0847\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\nBalance training omission, predicted area and threshold value logistic threshold: 0.1058\nBalance training omission, predicted area and threshold value area: 0.5243\nBalance training omission, predicted area and threshold value training omission: 0.007\nBalance training omission, predicted area and threshold value test omission: 0.0118\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\nEquate entropy of thresholded and original distributions logistic threshold: 0.1671\nEquate entropy of thresholded and original distributions area: 0.4825\nEquate entropy of thresholded and original distributions training omission: 0.0162\nEquate entropy of thresholded and original distributions test omission: 0.0165\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d85846cf-bd5b-4c9e-bd28-14ee1b2304fd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-7_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6.7, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 993, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d85846cf-bd5b-4c9e-bd28-14ee1b2304fd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f6-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 24\nRegularized training gain: 3.9274\nUnregularized training gain: 4.4227\nIterations: 500\nTraining AUC: 0.9961\n#Test samples: 2\nTest gain: 4.3971\nTest AUC: 0.9968\nAUC Standard Deviation: 0.0006\n#Background points: 5018\nbio_12_etrs2_ras contribution: 3.5452\nbio_15_etrs2_ras contribution: 1.9717\nbio_18_etrs2_ras contribution: 0.0221\nbio_4_etrs2_ras contribution: 1.3211\nbio_8_etrs2_ras contribution: 0\nbld_m_sd1_1km_eu_ll contribution: 17.2713\ncecsum_m_sd1_1km_eu_ll contribution: 0.3305\nclyppt_m_sd1_1km_eu_ll contribution: 0\ncrfvol_m_sd1_1km_eu_ll contribution: 0.3214\ndist2water1km contribution: 2.2883\norcdrc_m_sd1_1km_eu_ll contribution: 36.0461\npet_he_yr contribution: 15.4644\nsltppt_m_sd1_1km_eu_ll contribution: 21.1382\nsndppt_m_sd1_1km_eu_ll contribution: 0\nsolar_1km contribution: 0.2797\nbio_12_etrs2_ras permutation importance: 2.0027\nbio_15_etrs2_ras permutation importance: 1.063\nbio_18_etrs2_ras permutation importance: 0.7619\nbio_4_etrs2_ras permutation importance: 2.3401\nbio_8_etrs2_ras permutation importance: 0\nbld_m_sd1_1km_eu_ll permutation importance: 74.3025\ncecsum_m_sd1_1km_eu_ll permutation importance: 1.4095\nclyppt_m_sd1_1km_eu_ll permutation importance: 0\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0\ndist2water1km permutation importance: 0.3701\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.0834\npet_he_yr permutation importance: 2.9569\nsltppt_m_sd1_1km_eu_ll permutation importance: 13.2297\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 1.4802\nTraining gain without bio_12_etrs2_ras: 3.8924\nTraining gain without bio_15_etrs2_ras: 3.8655\nTraining gain without bio_18_etrs2_ras: 3.9261\nTraining gain without bio_4_etrs2_ras: 3.8786\nTraining gain without bio_8_etrs2_ras: 3.9231\nTraining gain without bld_m_sd1_1km_eu_ll: 3.7399\nTraining gain without cecsum_m_sd1_1km_eu_ll: 3.9095\nTraining gain without clyppt_m_sd1_1km_eu_ll: 3.9211\nTraining gain without crfvol_m_sd1_1km_eu_ll: 3.9231\nTraining gain without dist2water1km: 3.8775\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 3.9247\nTraining gain without pet_he_yr: 3.89\nTraining gain without sltppt_m_sd1_1km_eu_ll: 3.7867\nTraining gain without sndppt_m_sd1_1km_eu_ll: 3.9221\nTraining gain without solar_1km: 3.9035\nTraining gain with only bio_12_etrs2_ras: 1.3562\nTraining gain with only bio_15_etrs2_ras: 0.3848\nTraining gain with only bio_18_etrs2_ras: 1.3901\nTraining gain with only bio_4_etrs2_ras: 0.6484\nTraining gain with only bio_8_etrs2_ras: 0.2176\nTraining gain with only bld_m_sd1_1km_eu_ll: 2.457\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.8482\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.7163\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.6358\nTraining gain with only dist2water1km: 0.0506\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 2.0218\nTraining gain with only pet_he_yr: 2.1376\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 1.1601\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 1.1125\nTraining gain with only solar_1km: 0.2369\nTest gain without bio_12_etrs2_ras: 4.4276\nTest gain without bio_15_etrs2_ras: 4.2745\nTest gain without bio_18_etrs2_ras: 4.3974\nTest gain without bio_4_etrs2_ras: 4.3466\nTest gain without bio_8_etrs2_ras: 4.3722\nTest gain without bld_m_sd1_1km_eu_ll: 4.1797\nTest gain without cecsum_m_sd1_1km_eu_ll: 4.3802\nTest gain without clyppt_m_sd1_1km_eu_ll: 4.4035\nTest gain without crfvol_m_sd1_1km_eu_ll: 4.3838\nTest gain without dist2water1km: 4.3739\nTest gain without orcdrc_m_sd1_1km_eu_ll: 4.3681\nTest gain without pet_he_yr: 4.257\nTest gain without sltppt_m_sd1_1km_eu_ll: 4.3537\nTest gain without sndppt_m_sd1_1km_eu_ll: 4.4064\nTest gain without solar_1km: 4.1663\nTest gain with only bio_12_etrs2_ras: 0.7313\nTest gain with only bio_15_etrs2_ras: 0.8871\nTest gain with only bio_18_etrs2_ras: 1.9519\nTest gain with only bio_4_etrs2_ras: 1.3971\nTest gain with only bio_8_etrs2_ras: 0.4746\nTest gain with only bld_m_sd1_1km_eu_ll: 2.9343\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.8253\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.7779\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.8564\nTest gain with only dist2water1km: 0.0174\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 1.5202\nTest gain with only pet_he_yr: 2.9046\nTest gain with only sltppt_m_sd1_1km_eu_ll: 1.219\nTest gain with only sndppt_m_sd1_1km_eu_ll: 1.0581\nTest gain with only solar_1km: 0.78\nAUC without bio_12_etrs2_ras: 0.997\nAUC without bio_15_etrs2_ras: 0.996\nAUC without bio_18_etrs2_ras: 0.9969\nAUC without bio_4_etrs2_ras: 0.9961\nAUC without bio_8_etrs2_ras: 0.9968\nAUC without bld_m_sd1_1km_eu_ll: 0.9955\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9962\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9968\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9966\nAUC without dist2water1km: 0.9969\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9967\nAUC without pet_he_yr: 0.996\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9968\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9968\nAUC without solar_1km: 0.9958\nAUC with only bio_12_etrs2_ras: 0.8585\nAUC with only bio_15_etrs2_ras: 0.9605\nAUC with only bio_18_etrs2_ras: 0.9442\nAUC with only bio_4_etrs2_ras: 0.9575\nAUC with only bio_8_etrs2_ras: 0.8629\nAUC with only bld_m_sd1_1km_eu_ll: 0.9833\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.8353\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.8117\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.8384\nAUC with only dist2water1km: 0.5449\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.9374\nAUC with only pet_he_yr: 0.9843\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.8967\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.8683\nAUC with only solar_1km: 0.9298\nEntropy: 4.5847\nPrevalence (average of logistic output over background sites): 0.0091\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0054\nFixed cumulative value 1 area: 0.0793\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 6.29E-03\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0448\nFixed cumulative value 5 area: 0.0323\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.04E-03\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1038\nFixed cumulative value 10 area: 0.0193\nFixed cumulative value 10 training omission: 0\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 3.74E-04\nMinimum training presence cumulative threshold: 16.1171\nMinimum training presence logistic threshold: 0.2352\nMinimum training presence area: 0.0128\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.63E-04\n10 percentile training presence cumulative threshold: 25.4166\n10 percentile training presence logistic threshold: 0.3692\n10 percentile training presence area: 0.0088\n10 percentile training presence training omission: 0.0833\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 7.69E-05\nEqual training sensitivity and specificity cumulative threshold: 16.1171\nEqual training sensitivity and specificity logistic threshold: 0.2352\nEqual training sensitivity and specificity area: 0.0128\nEqual training sensitivity and specificity training omission: 0\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 1.63E-04\nMaximum training sensitivity plus specificity cumulative threshold: 16.1171\nMaximum training sensitivity plus specificity logistic threshold: 0.2352\nMaximum training sensitivity plus specificity area: 0.0128\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 1.63E-04\nEqual test sensitivity and specificity cumulative threshold: 52.733\nEqual test sensitivity and specificity logistic threshold: 0.5889\nEqual test sensitivity and specificity area: 0.0034\nEqual test sensitivity and specificity training omission: 0.375\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 1.15E-05\nMaximum test sensitivity plus specificity cumulative threshold: 52.733\nMaximum test sensitivity plus specificity logistic threshold: 0.5889\nMaximum test sensitivity plus specificity area: 0.0034\nMaximum test sensitivity plus specificity training omission: 0.375\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.15E-05\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3503\nBalance training omission, predicted area and threshold value logistic threshold: 0.0078\nBalance training omission, predicted area and threshold value area: 0.0686\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 4.70E-03\nEquate entropy of thresholded and original distributions cumulative threshold: 10.1085\nEquate entropy of thresholded and original distributions logistic threshold: 0.1038\nEquate entropy of thresholded and original distributions area: 0.0193\nEquate entropy of thresholded and original distributions training omission: 0\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 3.74E-04", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "c459aa6d-6032-48f3-a288-8ad339a159ec", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-2_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.2 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 994, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c459aa6d-6032-48f3-a288-8ad339a159ec", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g2-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "07e45088-961e-4d72-8ba1-c74f012c0868", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6-1b distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 995, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/07e45088-961e-4d72-8ba1-c74f012c0868", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f6-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7903bc63-58e3-4f3e-a4bf-a1646d7c9c7a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-8a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6-8a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 996, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7903bc63-58e3-4f3e-a4bf-a1646d7c9c7a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f6-8a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "c1cd914e-4962-47fc-869d-8cff1f446a02", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-6_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6-6 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 997, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c1cd914e-4962-47fc-869d-8cff1f446a02", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f6-6_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "c87e19e3-f4a0-4fb8-b581-ef92283590db", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-4_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.4, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 998, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c87e19e3-f4a0-4fb8-b581-ef92283590db", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 912\nRegularized training gain: 0.7392\nUnregularized training gain: 0.8525\nIterations: 500\nTraining AUC: 0.8424\n#Test samples: 101\nTest gain: 0.7284\nTest AUC: 0.8173\nAUC Standard Deviation: 0.0174\n#Background points: 10580\nbio_12_etrs2_ras contribution: 12.3519\nbio_15_etrs2_ras contribution: 0.8557\nbio_18_etrs2_ras contribution: 18.6273\nbio_4_etrs2_ras contribution: 2.535\nbio_8_etrs2_ras contribution: 16.2205\ndist2water1km contribution: 0.0447\npet_he_yr contribution: 9.4265\nsoil_ph contribution: 4.6459\nsolar_1km contribution: 35.2926\nbio_12_etrs2_ras permutation importance: 13.6586\nbio_15_etrs2_ras permutation importance: 4.0317\nbio_18_etrs2_ras permutation importance: 18.4178\nbio_4_etrs2_ras permutation importance: 2.9111\nbio_8_etrs2_ras permutation importance: 4.1676\ndist2water1km permutation importance: 0.0715\npet_he_yr permutation importance: 11.5987\nsoil_ph permutation importance: 5.3003\nsolar_1km permutation importance: 39.8427\nTraining gain without bio_12_etrs2_ras: 0.7256\nTraining gain without bio_15_etrs2_ras: 0.7317\nTraining gain without bio_18_etrs2_ras: 0.7149\nTraining gain without bio_4_etrs2_ras: 0.7293\nTraining gain without bio_8_etrs2_ras: 0.728\nTraining gain without dist2water1km: 0.7392\nTraining gain without pet_he_yr: 0.7197\nTraining gain without soil_ph: 0.7154\nTraining gain without solar_1km: 0.6433\nTraining gain with only bio_12_etrs2_ras: 0.2558\nTraining gain with only bio_15_etrs2_ras: 0.0594\nTraining gain with only bio_18_etrs2_ras: 0.3061\nTraining gain with only bio_4_etrs2_ras: 0.04\nTraining gain with only bio_8_etrs2_ras: 0.2483\nTraining gain with only dist2water1km: 0.0044\nTraining gain with only pet_he_yr: 0.1689\nTraining gain with only soil_ph: 0.1074\nTraining gain with only solar_1km: 0.4059\nTest gain without bio_12_etrs2_ras: 0.7319\nTest gain without bio_15_etrs2_ras: 0.7082\nTest gain without bio_18_etrs2_ras: 0.709\nTest gain without bio_4_etrs2_ras: 0.7379\nTest gain without bio_8_etrs2_ras: 0.6971\nTest gain without dist2water1km: 0.7273\nTest gain without pet_he_yr: 0.6924\nTest gain without soil_ph: 0.6988\nTest gain without solar_1km: 0.6756\nTest gain with only bio_12_etrs2_ras: 0.2155\nTest gain with only bio_15_etrs2_ras: 0.0712\nTest gain with only bio_18_etrs2_ras: 0.2763\nTest gain with only bio_4_etrs2_ras: 0.076\nTest gain with only bio_8_etrs2_ras: 0.2765\nTest gain with only dist2water1km: -0.0077\nTest gain with only pet_he_yr: 0.1493\nTest gain with only soil_ph: 0.1396\nTest gain with only solar_1km: 0.3617\nAUC without bio_12_etrs2_ras: 0.8197\nAUC without bio_15_etrs2_ras: 0.8131\nAUC without bio_18_etrs2_ras: 0.8133\nAUC without bio_4_etrs2_ras: 0.8192\nAUC without bio_8_etrs2_ras: 0.8107\nAUC without dist2water1km: 0.8165\nAUC without pet_he_yr: 0.811\nAUC without soil_ph: 0.8147\nAUC without solar_1km: 0.8035\nAUC with only bio_12_etrs2_ras: 0.6866\nAUC with only bio_15_etrs2_ras: 0.5819\nAUC with only bio_18_etrs2_ras: 0.6863\nAUC with only bio_4_etrs2_ras: 0.6182\nAUC with only bio_8_etrs2_ras: 0.716\nAUC with only dist2water1km: 0.5139\nAUC with only pet_he_yr: 0.6349\nAUC with only soil_ph: 0.6468\nAUC with only solar_1km: 0.7345\nEntropy: 8.5288\nPrevalence (average of logistic output over background sites): 0.235\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.052\nFixed cumulative value 1 area: 0.7133\nFixed cumulative value 1 training omission: 0.0066\nFixed cumulative value 1 test omission: 0.0099\nFixed cumulative value 1 binomial probability: 3.85E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1535\nFixed cumulative value 5 area: 0.5454\nFixed cumulative value 5 training omission: 0.0351\nFixed cumulative value 5 test omission: 0.0396\nFixed cumulative value 5 binomial probability: 2.73E-17\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2226\nFixed cumulative value 10 area: 0.4431\nFixed cumulative value 10 training omission: 0.0757\nFixed cumulative value 10 test omission: 0.099\nFixed cumulative value 10 binomial probability: 9.88E-21\nMinimum training presence cumulative threshold: 0.0248\nMinimum training presence logistic threshold: 0.0038\nMinimum training presence area: 0.9313\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.17E-03\n10 percentile training presence cumulative threshold: 12.5397\n10 percentile training presence logistic threshold: 0.2476\n10 percentile training presence area: 0.4037\n10 percentile training presence training omission: 0.0998\n10 percentile training presence test omission: 0.1287\n10 percentile training presence binomial probability: 4.94E-22\nEqual training sensitivity and specificity cumulative threshold: 28.792\nEqual training sensitivity and specificity logistic threshold: 0.3916\nEqual training sensitivity and specificity area: 0.2379\nEqual training sensitivity and specificity training omission: 0.2379\nEqual training sensitivity and specificity test omission: 0.3069\nEqual training sensitivity and specificity binomial probability: 3.20E-27\nMaximum training sensitivity plus specificity cumulative threshold: 21.6377\nMaximum training sensitivity plus specificity logistic threshold: 0.3364\nMaximum training sensitivity plus specificity area: 0.2975\nMaximum training sensitivity plus specificity training omission: 0.1678\nMaximum training sensitivity plus specificity test omission: 0.2376\nMaximum training sensitivity plus specificity binomial probability: 8.22E-25\nEqual test sensitivity and specificity cumulative threshold: 26.2295\nEqual test sensitivity and specificity logistic threshold: 0.374\nEqual test sensitivity and specificity area: 0.2576\nEqual test sensitivity and specificity training omission: 0.2215\nEqual test sensitivity and specificity test omission: 0.2574\nEqual test sensitivity and specificity binomial probability: 3.72E-29\nMaximum test sensitivity plus specificity cumulative threshold: 16.7376\nMaximum test sensitivity plus specificity logistic threshold: 0.2904\nMaximum test sensitivity plus specificity area: 0.3488\nMaximum test sensitivity plus specificity training omission: 0.1272\nMaximum test sensitivity plus specificity test omission: 0.1584\nMaximum test sensitivity plus specificity binomial probability: 1.35E-25\nBalance training omission, predicted area and threshold value cumulative threshold: 3.0682\nBalance training omission, predicted area and threshold value logistic threshold: 0.1161\nBalance training omission, predicted area and threshold value area: 0.6045\nBalance training omission, predicted area and threshold value training omission: 0.0132\nBalance training omission, predicted area and threshold value test omission: 0.0297\nBalance training omission, predicted area and threshold value binomial probability: 2.78E-14\nEquate entropy of thresholded and original distributions cumulative threshold: 8.0374\nEquate entropy of thresholded and original distributions logistic threshold: 0.2003\nEquate entropy of thresholded and original distributions area: 0.4781\nEquate entropy of thresholded and original distributions training omission: 0.0581\nEquate entropy of thresholded and original distributions test omission: 0.0891\nEquate entropy of thresholded and original distributions binomial probability: 1.55E-18", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "b3f9a053-2319-4af5-89f7-660b014593ba", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B2-5_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B2-5 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 999, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3f9a053-2319-4af5-89f7-660b014593ba", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b2-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "2d859847-31e4-46a6-bc7f-7312e50dce88", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B2-5_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B2.5, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1000, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d859847-31e4-46a6-bc7f-7312e50dce88", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b2-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 59\nRegularized training gain: 3.5846\nUnregularized training gain: 3.8402\nIterations: 500\nTraining AUC: 0.9905\n#Test samples: 6\nTest gain: 3.8198\nTest AUC: 0.9929\nAUC Standard Deviation: 0.0027\n#Background points: 5059\nbio_12_etrs2_ras contribution: 0\nbio_15_etrs2_ras contribution: 4.0617\nbio_18_etrs2_ras contribution: 0.1644\nbio_4_etrs2_ras contribution: 34.3603\nbio_8_etrs2_ras contribution: 0.47\nbld_m_sd1_1km_eu_ll contribution: 5.0144\ncecsum_m_sd1_1km_eu_ll contribution: 0.7953\nclyppt_m_sd1_1km_eu_ll contribution: 0.7418\ncrfvol_m_sd1_1km_eu_ll contribution: 0.8194\ndist2water1km contribution: 5.4668\norcdrc_m_sd1_1km_eu_ll contribution: 0.0484\npet_he_yr contribution: 9.6488\nphihox_m_sd1_1km_eu_ll contribution: 2.2699\nsltppt_m_sd1_1km_eu_ll contribution: 29.8844\nsndppt_m_sd1_1km_eu_ll contribution: 5.8407\nsolar_1km contribution: 0.4136\nbio_12_etrs2_ras permutation importance: 0\nbio_15_etrs2_ras permutation importance: 4.0006\nbio_18_etrs2_ras permutation importance: 0.0167\nbio_4_etrs2_ras permutation importance: 63.0853\nbio_8_etrs2_ras permutation importance: 0.121\nbld_m_sd1_1km_eu_ll permutation importance: 1.1326\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.3588\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.8614\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.8281\ndist2water1km permutation importance: 0.194\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.0292\npet_he_yr permutation importance: 1.3996\nphihox_m_sd1_1km_eu_ll permutation importance: 0.098\nsltppt_m_sd1_1km_eu_ll permutation importance: 23.1442\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 4.7306\nEntropy: 4.9448\nPrevalence (average of logistic output over background sites): 0.0127\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0041\nFixed cumulative value 1 area: 0.1279\nFixed cumulative value 1 training omission: 0.0169\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 4.38E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0404\nFixed cumulative value 5 area: 0.0466\nFixed cumulative value 5 training omission: 0.0339\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.03E-08\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1047\nFixed cumulative value 10 area: 0.0273\nFixed cumulative value 10 training omission: 0.0508\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 4.12E-10\nMinimum training presence cumulative threshold: 0.9716\nMinimum training presence logistic threshold: 0.0039\nMinimum training presence area: 0.1297\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.75E-06\n10 percentile training presence cumulative threshold: 20.4413\n10 percentile training presence logistic threshold: 0.2916\n10 percentile training presence area: 0.013\n10 percentile training presence training omission: 0.0847\n10 percentile training presence test omission: 0.1667\n10 percentile training presence binomial probability: 2.24E-09\nEqual training sensitivity and specificity cumulative threshold: 5.6343\nEqual training sensitivity and specificity logistic threshold: 0.0461\nEqual training sensitivity and specificity area: 0.0429\nEqual training sensitivity and specificity training omission: 0.0508\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 6.23E-09\nMaximum training sensitivity plus specificity cumulative threshold: 4.932\nMaximum training sensitivity plus specificity logistic threshold: 0.0394\nMaximum training sensitivity plus specificity area: 0.047\nMaximum training sensitivity plus specificity training omission: 0.0169\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 1.08E-08\nEqual test sensitivity and specificity cumulative threshold: 14.7808\nEqual test sensitivity and specificity logistic threshold: 0.1683\nEqual test sensitivity and specificity area: 0.0188\nEqual test sensitivity and specificity training omission: 0.0678\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 4.39E-11\nMaximum test sensitivity plus specificity cumulative threshold: 14.7808\nMaximum test sensitivity plus specificity logistic threshold: 0.1683\nMaximum test sensitivity plus specificity area: 0.0188\nMaximum test sensitivity plus specificity training omission: 0.0678\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 4.39E-11\nBalance training omission, predicted area and threshold value cumulative threshold: 0.9716\nBalance training omission, predicted area and threshold value logistic threshold: 0.0039\nBalance training omission, predicted area and threshold value area: 0.1297\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 4.75E-06\nEquate entropy of thresholded and original distributions cumulative threshold: 9.882\nEquate entropy of thresholded and original distributions logistic threshold: 0.1032\nEquate entropy of thresholded and original distributions area: 0.0277\nEquate entropy of thresholded and original distributions training omission: 0.0508\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 4.49E-10", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\n\t\t\tRemarks: Inland prediction should be ignored. Hardly any prediction in large parts of the potential area.\n \n Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d851c7ee-ff22-4154-89e1-8fd0692b6ec9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-7_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.7, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 1001, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d851c7ee-ff22-4154-89e1-8fd0692b6ec9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-7_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 3240\nRegularized training gain: 0.4481\nUnregularized training gain: 0.4984\nIterations: 500\nTraining AUC: 0.7726\n#Test samples: 359\nTest gain: 0.4841\nTest AUC: 0.768\nAUC Standard Deviation: 0.0102\n#Background points: 12880\nbio_12_etrs2_ras contribution: 1.5267\nbio_15_etrs2_ras contribution: 2.2401\nbio_18_etrs2_ras contribution: 10.3186\nbio_4_etrs2_ras contribution: 3.8745\nbio_8_etrs2_ras contribution: 3.3564\ndist2water1km contribution: 0.4704\npet_he_yr contribution: 75.8512\nsoil_ph contribution: 1.5313\nsolar_1km contribution: 0.8308\nbio_12_etrs2_ras permutation importance: 8.5471\nbio_15_etrs2_ras permutation importance: 1.7433\nbio_18_etrs2_ras permutation importance: 28.5836\nbio_4_etrs2_ras permutation importance: 10.1037\nbio_8_etrs2_ras permutation importance: 4.8831\ndist2water1km permutation importance: 0.4372\npet_he_yr permutation importance: 43.5838\nsoil_ph permutation importance: 0.8323\nsolar_1km permutation importance: 1.2859\nTraining gain without bio_12_etrs2_ras: 0.4383\nTraining gain without bio_15_etrs2_ras: 0.4451\nTraining gain without bio_18_etrs2_ras: 0.4144\nTraining gain without bio_4_etrs2_ras: 0.4235\nTraining gain without bio_8_etrs2_ras: 0.4339\nTraining gain without dist2water1km: 0.4462\nTraining gain without pet_he_yr: 0.363\nTraining gain without soil_ph: 0.4451\nTraining gain without solar_1km: 0.4452\nTraining gain with only bio_12_etrs2_ras: 0.054\nTraining gain with only bio_15_etrs2_ras: 0.0377\nTraining gain with only bio_18_etrs2_ras: 0.1409\nTraining gain with only bio_4_etrs2_ras: 0.0639\nTraining gain with only bio_8_etrs2_ras: 0.1118\nTraining gain with only dist2water1km: 0.0006\nTraining gain with only pet_he_yr: 0.353\nTraining gain with only soil_ph: 0.0741\nTraining gain with only solar_1km: 0.0312\nTest gain without bio_12_etrs2_ras: 0.4823\nTest gain without bio_15_etrs2_ras: 0.4763\nTest gain without bio_18_etrs2_ras: 0.4537\nTest gain without bio_4_etrs2_ras: 0.4441\nTest gain without bio_8_etrs2_ras: 0.4509\nTest gain without dist2water1km: 0.4962\nTest gain without pet_he_yr: 0.4262\nTest gain without soil_ph: 0.4849\nTest gain without solar_1km: 0.4809\nTest gain with only bio_12_etrs2_ras: 0.0608\nTest gain with only bio_15_etrs2_ras: 0.0719\nTest gain with only bio_18_etrs2_ras: 0.1346\nTest gain with only bio_4_etrs2_ras: 0.1006\nTest gain with only bio_8_etrs2_ras: 0.1714\nTest gain with only dist2water1km: -0.0053\nTest gain with only pet_he_yr: 0.3424\nTest gain with only soil_ph: 0.0689\nTest gain with only solar_1km: 0.0537\nAUC without bio_12_etrs2_ras: 0.7676\nAUC without bio_15_etrs2_ras: 0.7657\nAUC without bio_18_etrs2_ras: 0.7586\nAUC without bio_4_etrs2_ras: 0.7555\nAUC without bio_8_etrs2_ras: 0.7583\nAUC without dist2water1km: 0.772\nAUC without pet_he_yr: 0.761\nAUC without soil_ph: 0.7676\nAUC without solar_1km: 0.7669\nAUC with only bio_12_etrs2_ras: 0.6014\nAUC with only bio_15_etrs2_ras: 0.6148\nAUC with only bio_18_etrs2_ras: 0.6444\nAUC with only bio_4_etrs2_ras: 0.6265\nAUC with only bio_8_etrs2_ras: 0.6681\nAUC with only dist2water1km: 0.4735\nAUC with only pet_he_yr: 0.7178\nAUC with only soil_ph: 0.5955\nAUC with only solar_1km: 0.567\nEntropy: 9.018\nPrevalence (average of logistic output over background sites): 0.3156\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0917\nFixed cumulative value 1 area: 0.8307\nFixed cumulative value 1 training omission: 0.0068\nFixed cumulative value 1 test omission: 0.0056\nFixed cumulative value 1 binomial probability: 6.52E-17\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1767\nFixed cumulative value 5 area: 0.6585\nFixed cumulative value 5 training omission: 0.0306\nFixed cumulative value 5 test omission: 0.0418\nFixed cumulative value 5 binomial probability: 2.43E-33\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2631\nFixed cumulative value 10 area: 0.5446\nFixed cumulative value 10 training omission: 0.0762\nFixed cumulative value 10 test omission: 0.0752\nFixed cumulative value 10 binomial probability: 1.03E-47\nMinimum training presence cumulative threshold: 0.0149\nMinimum training presence logistic threshold: 0.009\nMinimum training presence area: 0.9853\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.04E-02\n10 percentile training presence cumulative threshold: 12.6212\n10 percentile training presence logistic threshold: 0.2971\n10 percentile training presence area: 0.5013\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.0891\n10 percentile training presence binomial probability: 1.28E-54\nEqual training sensitivity and specificity cumulative threshold: 33.1923\nEqual training sensitivity and specificity logistic threshold: 0.4654\nEqual training sensitivity and specificity area: 0.2958\nEqual training sensitivity and specificity training omission: 0.2957\nEqual training sensitivity and specificity test omission: 0.3092\nEqual training sensitivity and specificity binomial probability: 9.86E-61\nMaximum training sensitivity plus specificity cumulative threshold: 24.8998\nMaximum training sensitivity plus specificity logistic threshold: 0.4201\nMaximum training sensitivity plus specificity area: 0.3624\nMaximum training sensitivity plus specificity training omission: 0.2157\nMaximum training sensitivity plus specificity test omission: 0.2284\nMaximum training sensitivity plus specificity binomial probability: 8.15E-59\nEqual test sensitivity and specificity cumulative threshold: 32.1479\nEqual test sensitivity and specificity logistic threshold: 0.4603\nEqual test sensitivity and specificity area: 0.3036\nEqual test sensitivity and specificity training omission: 0.2861\nEqual test sensitivity and specificity test omission: 0.3036\nEqual test sensitivity and specificity binomial probability: 3.36E-59\nMaximum test sensitivity plus specificity cumulative threshold: 16.053\nMaximum test sensitivity plus specificity logistic threshold: 0.3371\nMaximum test sensitivity plus specificity area: 0.454\nMaximum test sensitivity plus specificity training omission: 0.1346\nMaximum test sensitivity plus specificity test omission: 0.1226\nMaximum test sensitivity plus specificity binomial probability: 9.85E-59\nBalance training omission, predicted area and threshold value cumulative threshold: 2.721\nBalance training omission, predicted area and threshold value logistic threshold: 0.1279\nBalance training omission, predicted area and threshold value area: 0.7409\nBalance training omission, predicted area and threshold value training omission: 0.012\nBalance training omission, predicted area and threshold value test omission: 0.0223\nBalance training omission, predicted area and threshold value binomial probability: 6.52E-25\nEquate entropy of thresholded and original distributions cumulative threshold: 5.6288\nEquate entropy of thresholded and original distributions logistic threshold: 0.1888\nEquate entropy of thresholded and original distributions area: 0.6405\nEquate entropy of thresholded and original distributions training omission: 0.034\nEquate entropy of thresholded and original distributions test omission: 0.0474\nEquate entropy of thresholded and original distributions binomial probability: 3.35E-35", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "a5fa4a23-d1b0-4150-92f6-58c84f9f5559", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-1_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7.1, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1002, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5fa4a23-d1b0-4150-92f6-58c84f9f5559", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f7-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 14\nRegularized training gain: 3.6938\nUnregularized training gain: 4.2035\nIterations: 220\nTraining AUC: 0.9931\n#Test samples: 1\nTest gain: 1.8738\nTest AUC: 0.9766\nAUC Standard Deviation: -1\n#Background points: 5010\nbio_12_etrs2_ras contribution: 5.8502\nbio_15_etrs2_ras contribution: 20.7746\nbio_18_etrs2_ras contribution: 50.9292\nbio_4_etrs2_ras contribution: 7.3093\nbio_8_etrs2_ras contribution: 0\nbld_m_sd1_1km_eu_ll contribution: 0.0243\ncecsum_m_sd1_1km_eu_ll contribution: 0.0036\nclyppt_m_sd1_1km_eu_ll contribution: 2.1209\ncrfvol_m_sd1_1km_eu_ll contribution: 0\ndist2water1km contribution: 0.5286\neu_mask_1km contribution: 0\norcdrc_m_sd1_1km_eu_ll contribution: 0.1832\npet_he_yr contribution: 0.5715\nphihox_m_sd1_1km_eu_ll contribution: 8.6147\nsltppt_m_sd1_1km_eu_ll contribution: 0.5677\nsndppt_m_sd1_1km_eu_ll contribution: 0\nsolar_1km contribution: 2.5222\nbio_12_etrs2_ras permutation importance: 0\nbio_15_etrs2_ras permutation importance: 0.3316\nbio_18_etrs2_ras permutation importance: 93.5178\nbio_4_etrs2_ras permutation importance: 0.7683\nbio_8_etrs2_ras permutation importance: 0\nbld_m_sd1_1km_eu_ll permutation importance: 0\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.0415\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.7738\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0\ndist2water1km permutation importance: 0.1658\neu_mask_1km permutation importance: 0\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.0843\npet_he_yr permutation importance: 0.0636\nphihox_m_sd1_1km_eu_ll permutation importance: 1.368\nsltppt_m_sd1_1km_eu_ll permutation importance: 0\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 2.8853\nTraining gain without bio_12_etrs2_ras: 3.6789\nTraining gain without bio_15_etrs2_ras: 3.661\nTraining gain without bio_18_etrs2_ras: 3.2293\nTraining gain without bio_4_etrs2_ras: 3.648\nTraining gain without bio_8_etrs2_ras: 3.6938\nTraining gain without bld_m_sd1_1km_eu_ll: 3.6888\nTraining gain without cecsum_m_sd1_1km_eu_ll: 3.6934\nTraining gain without clyppt_m_sd1_1km_eu_ll: 3.6365\nTraining gain without crfvol_m_sd1_1km_eu_ll: 3.6938\nTraining gain without dist2water1km: 3.6633\nTraining gain without eu_mask_1km: 3.6938\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 3.6898\nTraining gain without pet_he_yr: 3.6882\nTraining gain without phihox_m_sd1_1km_eu_ll: 3.4709\nTraining gain without sltppt_m_sd1_1km_eu_ll: 3.6833\nTraining gain without sndppt_m_sd1_1km_eu_ll: 3.6938\nTraining gain without solar_1km: 3.6186\nTraining gain with only bio_12_etrs2_ras: 1.058\nTraining gain with only bio_15_etrs2_ras: 1.8027\nTraining gain with only bio_18_etrs2_ras: 2.5913\nTraining gain with only bio_4_etrs2_ras: 0.3171\nTraining gain with only bio_8_etrs2_ras: 0.1227\nTraining gain with only bld_m_sd1_1km_eu_ll: 1.2031\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.0889\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 1.0172\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.0007\nTraining gain with only dist2water1km: 0.0921\nTraining gain with only eu_mask_1km: 0\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.1227\nTraining gain with only pet_he_yr: 0.6382\nTraining gain with only phihox_m_sd1_1km_eu_ll: 0.4811\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.0672\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.1149\nTraining gain with only solar_1km: 0.3461\nTest gain without bio_12_etrs2_ras: 1.9413\nTest gain without bio_15_etrs2_ras: 1.7474\nTest gain without bio_18_etrs2_ras: 1.1414\nTest gain without bio_4_etrs2_ras: 1.3894\nTest gain without bio_8_etrs2_ras: 1.8735\nTest gain without bld_m_sd1_1km_eu_ll: 1.991\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.9039\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.9696\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.8735\nTest gain without dist2water1km: 1.872\nTest gain without eu_mask_1km: 1.8735\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.8402\nTest gain without pet_he_yr: 2.0078\nTest gain without phihox_m_sd1_1km_eu_ll: 2.7097\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.7338\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.8725\nTest gain without solar_1km: 2.2785\nTest gain with only bio_12_etrs2_ras: 0.1133\nTest gain with only bio_15_etrs2_ras: 1.6881\nTest gain with only bio_18_etrs2_ras: 1.8544\nTest gain with only bio_4_etrs2_ras: 0.5554\nTest gain with only bio_8_etrs2_ras: 0.2771\nTest gain with only bld_m_sd1_1km_eu_ll: -0.0124\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.0557\nTest gain with only clyppt_m_sd1_1km_eu_ll: 1.1395\nTest gain with only crfvol_m_sd1_1km_eu_ll: -0.0124\nTest gain with only dist2water1km: 0.675\nTest gain with only eu_mask_1km: 0\nTest gain with only orcdrc_m_sd1_1km_eu_ll: -0.0074\nTest gain with only pet_he_yr: 0.5352\nTest gain with only phihox_m_sd1_1km_eu_ll: 0.8038\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.1664\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.1828\nTest gain with only solar_1km: -0.2806\nAUC without bio_12_etrs2_ras: 0.9772\nAUC without bio_15_etrs2_ras: 0.9741\nAUC without bio_18_etrs2_ras: 0.9679\nAUC without bio_4_etrs2_ras: 0.9621\nAUC without bio_8_etrs2_ras: 0.9766\nAUC without bld_m_sd1_1km_eu_ll: 0.9778\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9768\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9778\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9766\nAUC without dist2water1km: 0.9769\nAUC without eu_mask_1km: 0.9766\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9741\nAUC without pet_he_yr: 0.9788\nAUC without phihox_m_sd1_1km_eu_ll: 0.9844\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9727\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9766\nAUC without solar_1km: 0.9822\nAUC with only bio_12_etrs2_ras: 0.7729\nAUC with only bio_15_etrs2_ras: 0.9474\nAUC with only bio_18_etrs2_ras: 0.9497\nAUC with only bio_4_etrs2_ras: 0.8575\nAUC with only bio_8_etrs2_ras: 0.6626\nAUC with only bld_m_sd1_1km_eu_ll: 0.7924\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.4261\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.9233\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.3696\nAUC with only dist2water1km: 0.9635\nAUC with only eu_mask_1km: 0.5\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.4873\nAUC with only pet_he_yr: 0.8378\nAUC with only phihox_m_sd1_1km_eu_ll: 0.8917\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.7119\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.6198\nAUC with only solar_1km: 0.3889\nEntropy: 4.8254\nPrevalence (average of logistic output over background sites): 0.0118\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0068\nFixed cumulative value 1 area: 0.098\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 9.80E-02\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0464\nFixed cumulative value 5 area: 0.0509\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 5.09E-02\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0931\nFixed cumulative value 10 area: 0.0337\nFixed cumulative value 10 training omission: 0.0714\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 3.37E-02\nMinimum training presence cumulative threshold: 7.0042\nMinimum training presence logistic threshold: 0.0656\nMinimum training presence area: 0.0427\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.27E-02\n10 percentile training presence cumulative threshold: 14.7004\n10 percentile training presence logistic threshold: 0.1342\n10 percentile training presence area: 0.0248\n10 percentile training presence training omission: 0.0714\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 2.48E-02\nEqual training sensitivity and specificity cumulative threshold: 7.0042\nEqual training sensitivity and specificity logistic threshold: 0.0656\nEqual training sensitivity and specificity area: 0.0427\nEqual training sensitivity and specificity training omission: 0.0714\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 4.27E-02\nMaximum training sensitivity plus specificity cumulative threshold: 7.0042\nMaximum training sensitivity plus specificity logistic threshold: 0.0656\nMaximum training sensitivity plus specificity area: 0.0427\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 4.27E-02\nEqual test sensitivity and specificity cumulative threshold: 15.5883\nEqual test sensitivity and specificity logistic threshold: 0.1394\nEqual test sensitivity and specificity area: 0.0234\nEqual test sensitivity and specificity training omission: 0.1429\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 2.33E-02\nMaximum test sensitivity plus specificity cumulative threshold: 15.5883\nMaximum test sensitivity plus specificity logistic threshold: 0.1394\nMaximum test sensitivity plus specificity area: 0.0234\nMaximum test sensitivity plus specificity training omission: 0.1429\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 2.33E-02\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3323\nBalance training omission, predicted area and threshold value logistic threshold: 0.0098\nBalance training omission, predicted area and threshold value area: 0.088\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 8.80E-02\nEquate entropy of thresholded and original distributions cumulative threshold: 14.7004\nEquate entropy of thresholded and original distributions logistic threshold: 0.1342\nEquate entropy of thresholded and original distributions area: 0.0248\nEquate entropy of thresholded and original distributions training omission: 0.0714\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 2.48E-02", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "a0e88b51-796e-44ea-809a-73d89c301e86", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-4_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.4, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 1003, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0e88b51-796e-44ea-809a-73d89c301e86", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g2-4_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 98\nRegularized training gain: 3.0799\nUnregularized training gain: 3.3303\nIterations: 500\nTraining AUC: 0.9854\n#Test samples: 10\nTest gain: 2.9695\nTest AUC: 0.983\nAUC Standard Deviation: 0.0055\n#Background points: 10097\nbio_12_etrs2_ras contribution: 0.1689\nbio_15_etrs2_ras contribution: 13.7568\nbio_18_etrs2_ras contribution: 29.1226\nbio_4_etrs2_ras contribution: 38.9364\nbio_8_etrs2_ras contribution: 8.5614\ndist2water1km contribution: 3.2349\npet_he_yr contribution: 3.6343\nsoil_ph contribution: 0.2087\nsolar_1km contribution: 2.3759\nbio_12_etrs2_ras permutation importance: 0.3127\nbio_15_etrs2_ras permutation importance: 13.2136\nbio_18_etrs2_ras permutation importance: 8.3879\nbio_4_etrs2_ras permutation importance: 60.0375\nbio_8_etrs2_ras permutation importance: 9.6078\ndist2water1km permutation importance: 1.9706\npet_he_yr permutation importance: 1.3053\nsoil_ph permutation importance: 0.9391\nsolar_1km permutation importance: 4.2256\nEntropy: 6.1717\nPrevalence (average of logistic output over background sites): 0.0219\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0026\nFixed cumulative value 1 area: 0.3102\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 8.25E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0308\nFixed cumulative value 5 area: 0.0848\nFixed cumulative value 5 training omission: 0.0204\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.92E-11\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1109\nFixed cumulative value 10 area: 0.0466\nFixed cumulative value 10 training omission: 0.0918\nFixed cumulative value 10 test omission: 0.1\nFixed cumulative value 10 binomial probability: 1.00E-11\nMinimum training presence cumulative threshold: 1.8782\nMinimum training presence logistic threshold: 0.0055\nMinimum training presence area: 0.1992\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 9.82E-08\n10 percentile training presence cumulative threshold: 13.8101\n10 percentile training presence logistic threshold: 0.1731\n10 percentile training presence area: 0.0356\n10 percentile training presence training omission: 0.0918\n10 percentile training presence test omission: 0.1\n10 percentile training presence binomial probability: 8.79E-13\nEqual training sensitivity and specificity cumulative threshold: 7.2719\nEqual training sensitivity and specificity logistic threshold: 0.0595\nEqual training sensitivity and specificity area: 0.0612\nEqual training sensitivity and specificity training omission: 0.0612\nEqual training sensitivity and specificity test omission: 0.1\nEqual training sensitivity and specificity binomial probability: 1.14E-10\nMaximum training sensitivity plus specificity cumulative threshold: 5.802\nMaximum training sensitivity plus specificity logistic threshold: 0.0407\nMaximum training sensitivity plus specificity area: 0.0745\nMaximum training sensitivity plus specificity training omission: 0.0204\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 5.25E-12\nEqual test sensitivity and specificity cumulative threshold: 6.7574\nEqual test sensitivity and specificity logistic threshold: 0.0542\nEqual test sensitivity and specificity area: 0.0653\nEqual test sensitivity and specificity training omission: 0.051\nEqual test sensitivity and specificity test omission: 0.1\nEqual test sensitivity and specificity binomial probability: 2.02E-10\nMaximum test sensitivity plus specificity cumulative threshold: 6.748\nMaximum test sensitivity plus specificity logistic threshold: 0.054\nMaximum test sensitivity plus specificity area: 0.0653\nMaximum test sensitivity plus specificity training omission: 0.051\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 1.40E-12\nBalance training omission, predicted area and threshold value cumulative threshold: 3.8774\nBalance training omission, predicted area and threshold value logistic threshold: 0.0186\nBalance training omission, predicted area and threshold value area: 0.1066\nBalance training omission, predicted area and threshold value training omission: 0.0102\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 1.89E-10\nEquate entropy of thresholded and original distributions cumulative threshold: 9.825\nEquate entropy of thresholded and original distributions logistic threshold: 0.108\nEquate entropy of thresholded and original distributions area: 0.0473\nEquate entropy of thresholded and original distributions training omission: 0.0918\nEquate entropy of thresholded and original distributions test omission: 0.1\nEquate entropy of thresholded and original distributions binomial probability: 1.14E-11", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "09b8a657-1da9-49b9-919c-910d7b114573", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-1_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.1 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1004, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09b8a657-1da9-49b9-919c-910d7b114573", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "62021d4b-5632-4355-b801-7a03785ff7a7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1.5a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1005, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62021d4b-5632-4355-b801-7a03785ff7a7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b1-5a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 17\nRegularized training gain: 5.1816\nUnregularized training gain: 5.467\nIterations: 500\nTraining AUC: 0.9983\n#Test samples: 1\nTest gain: 5.5287\nTest AUC: 0.9978\nAUC Standard Deviation: -1\n#Background points: 5017\nbio_12_etrs2_ras contribution: 0.0401\nbio_15_etrs2_ras contribution: 0\nbio_18_etrs2_ras contribution: 9.181\nbio_4_etrs2_ras contribution: 16.8567\nbio_8_etrs2_ras contribution: 0.9176\nbld_m_sd1_1km_eu_ll contribution: 0\ncecsum_m_sd1_1km_eu_ll contribution: 0.0174\nclyppt_m_sd1_1km_eu_ll contribution: 0.4169\ncrfvol_m_sd1_1km_eu_ll contribution: 1.8697\ndist2water1km contribution: 65.2878\norcdrc_m_sd1_1km_eu_ll contribution: 0.1019\npet_he_yr contribution: 1.6373\nphihox_m_sd1_1km_eu_ll contribution: 0\nsltppt_m_sd1_1km_eu_ll contribution: 3.1799\nsndppt_m_sd1_1km_eu_ll contribution: 0.4938\nsolar_1km contribution: 0\nbio_12_etrs2_ras permutation importance: 0.0154\nbio_15_etrs2_ras permutation importance: 0\nbio_18_etrs2_ras permutation importance: 0\nbio_4_etrs2_ras permutation importance: 30.0307\nbio_8_etrs2_ras permutation importance: 15.1268\nbld_m_sd1_1km_eu_ll permutation importance: 0\ncecsum_m_sd1_1km_eu_ll permutation importance: 0\nclyppt_m_sd1_1km_eu_ll permutation importance: 0\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.269\ndist2water1km permutation importance: 4.8194\norcdrc_m_sd1_1km_eu_ll permutation importance: 0\npet_he_yr permutation importance: 49.7387\nphihox_m_sd1_1km_eu_ll permutation importance: 0\nsltppt_m_sd1_1km_eu_ll permutation importance: 0\nsndppt_m_sd1_1km_eu_ll permutation importance: 0\nsolar_1km permutation importance: 0\nEntropy: 3.3393\nPrevalence (average of logistic output over background sites): 0.0025\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0012\nFixed cumulative value 1 area: 0.0504\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 5.04E-02\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0215\nFixed cumulative value 5 area: 0.0078\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 7.77E-03\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2141\nFixed cumulative value 10 area: 0.0036\nFixed cumulative value 10 training omission: 0\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 3.59E-03\nMinimum training presence cumulative threshold: 13.0668\nMinimum training presence logistic threshold: 0.4045\nMinimum training presence area: 0.0034\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.39E-03\n10 percentile training presence cumulative threshold: 15.4948\n10 percentile training presence logistic threshold: 0.4064\n10 percentile training presence area: 0.003\n10 percentile training presence training omission: 0.0588\n10 percentile training presence test omission: 0\n10 percentile training presence binomial probability: 2.99E-03\nEqual training sensitivity and specificity cumulative threshold: 13.0668\nEqual training sensitivity and specificity logistic threshold: 0.4045\nEqual training sensitivity and specificity area: 0.0034\nEqual training sensitivity and specificity training omission: 0\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 3.39E-03\nMaximum training sensitivity plus specificity cumulative threshold: 13.0668\nMaximum training sensitivity plus specificity logistic threshold: 0.4045\nMaximum training sensitivity plus specificity area: 0.0034\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 3.39E-03\nEqual test sensitivity and specificity cumulative threshold: 32.5105\nEqual test sensitivity and specificity logistic threshold: 0.586\nEqual test sensitivity and specificity area: 0.0022\nEqual test sensitivity and specificity training omission: 0.3529\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 2.19E-03\nMaximum test sensitivity plus specificity cumulative threshold: 32.5105\nMaximum test sensitivity plus specificity logistic threshold: 0.586\nMaximum test sensitivity plus specificity area: 0.0022\nMaximum test sensitivity plus specificity training omission: 0.3529\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 2.19E-03\nBalance training omission, predicted area and threshold value cumulative threshold: 1.4391\nBalance training omission, predicted area and threshold value logistic threshold: 0.0022\nBalance training omission, predicted area and threshold value area: 0.0355\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 3.55E-02\nEquate entropy of thresholded and original distributions cumulative threshold: 6.197\nEquate entropy of thresholded and original distributions logistic threshold: 0.0376\nEquate entropy of thresholded and original distributions area: 0.0056\nEquate entropy of thresholded and original distributions training omission: 0\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 5.58E-03", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1)\n\t\t\tRemarks: Inland prediction should be ignored. Hardly any prediction in the Baltic region.\n \n Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observation data in large parts of the potential area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "abcf7088-9c1b-4fca-89a3-2ebe05bbf3b2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-6_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6.6, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1006, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abcf7088-9c1b-4fca-89a3-2ebe05bbf3b2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f6-6_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 162\nRegularized training gain: 2.8667\nUnregularized training gain: 3.0438\nIterations: 500\nTraining AUC: 0.982\n#Test samples: 18\nTest gain: 3.048\nTest AUC: 0.9828\nAUC Standard Deviation: 0.004\n#Background points: 5162\nbio_12_etrs2_ras contribution: 8.7275\nbio_15_etrs2_ras contribution: 4.2175\nbio_18_etrs2_ras contribution: 2.4728\nbio_4_etrs2_ras contribution: 35.5355\nbio_8_etrs2_ras contribution: 2.6417\nbld_m_sd1_1km_eu_ll contribution: 5.5881\ncecsum_m_sd1_1km_eu_ll contribution: 2.1144\nclyppt_m_sd1_1km_eu_ll contribution: 0.0665\ncrfvol_m_sd1_1km_eu_ll contribution: 22.2539\ndist2water1km contribution: 0.0067\norcdrc_m_sd1_1km_eu_ll contribution: 0.2616\npet_he_yr contribution: 3.5513\nphihox_m_sd1_1km_eu_ll contribution: 3.9178\nsltppt_m_sd1_1km_eu_ll contribution: 1.0109\nsndppt_m_sd1_1km_eu_ll contribution: 0.0835\nsolar_1km contribution: 7.5503\nbio_12_etrs2_ras permutation importance: 2.2173\nbio_15_etrs2_ras permutation importance: 13.3874\nbio_18_etrs2_ras permutation importance: 5.4726\nbio_4_etrs2_ras permutation importance: 15.5297\nbio_8_etrs2_ras permutation importance: 0.7\nbld_m_sd1_1km_eu_ll permutation importance: 0.0354\ncecsum_m_sd1_1km_eu_ll permutation importance: 2.5044\nclyppt_m_sd1_1km_eu_ll permutation importance: 0.2545\ncrfvol_m_sd1_1km_eu_ll permutation importance: 30.1078\ndist2water1km permutation importance: 0.1881\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.8852\npet_he_yr permutation importance: 16.9184\nphihox_m_sd1_1km_eu_ll permutation importance: 5.1318\nsltppt_m_sd1_1km_eu_ll permutation importance: 6.2122\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.1499\nsolar_1km permutation importance: 0.3054\nEntropy: 5.6873\nPrevalence (average of logistic output over background sites): 0.0269\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0086\nFixed cumulative value 1 area: 0.1548\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.60E-15\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0677\nFixed cumulative value 5 area: 0.0633\nFixed cumulative value 5 training omission: 0.0123\nFixed cumulative value 5 test omission: 0.0556\nFixed cumulative value 5 binomial probability: 7.21E-20\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2047\nFixed cumulative value 10 area: 0.043\nFixed cumulative value 10 training omission: 0.0432\nFixed cumulative value 10 test omission: 0.1111\nFixed cumulative value 10 binomial probability: 1.93E-20\nMinimum training presence cumulative threshold: 4.4174\nMinimum training presence logistic threshold: 0.0556\nMinimum training presence area: 0.0686\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.13E-21\n10 percentile training presence cumulative threshold: 16.9724\n10 percentile training presence logistic threshold: 0.369\n10 percentile training presence area: 0.0329\n10 percentile training presence training omission: 0.0988\n10 percentile training presence test omission: 0.1111\n10 percentile training presence binomial probability: 2.75E-22\nEqual training sensitivity and specificity cumulative threshold: 9.937\nEqual training sensitivity and specificity logistic threshold: 0.1992\nEqual training sensitivity and specificity area: 0.0432\nEqual training sensitivity and specificity training omission: 0.0432\nEqual training sensitivity and specificity test omission: 0.1111\nEqual training sensitivity and specificity binomial probability: 2.07E-20\nMaximum training sensitivity plus specificity cumulative threshold: 4.4174\nMaximum training sensitivity plus specificity logistic threshold: 0.0556\nMaximum training sensitivity plus specificity area: 0.0686\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 1.13E-21\nEqual test sensitivity and specificity cumulative threshold: 6.2586\nEqual test sensitivity and specificity logistic threshold: 0.0975\nEqual test sensitivity and specificity area: 0.0556\nEqual test sensitivity and specificity training omission: 0.0309\nEqual test sensitivity and specificity test omission: 0.0556\nEqual test sensitivity and specificity binomial probability: 7.91E-21\nMaximum test sensitivity plus specificity cumulative threshold: 4.9631\nMaximum test sensitivity plus specificity logistic threshold: 0.0671\nMaximum test sensitivity plus specificity area: 0.0637\nMaximum test sensitivity plus specificity training omission: 0.0123\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 3.01E-22\nBalance training omission, predicted area and threshold value cumulative threshold: 2.2794\nBalance training omission, predicted area and threshold value logistic threshold: 0.0223\nBalance training omission, predicted area and threshold value area: 0.104\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.04E-18\nEquate entropy of thresholded and original distributions cumulative threshold: 5.9729\nEquate entropy of thresholded and original distributions logistic threshold: 0.0925\nEquate entropy of thresholded and original distributions area: 0.0571\nEquate entropy of thresholded and original distributions training omission: 0.0247\nEquate entropy of thresholded and original distributions test omission: 0.0556\nEquate entropy of thresholded and original distributions binomial probability: 1.26E-20", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: -", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "a69008a0-7013-4356-91ce-8930a805057a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-A_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.A distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1007, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a69008a0-7013-4356-91ce-8930a805057a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "0b9f5698-7f74-4258-869b-077f3e0a9b27", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-8_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.8 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1008, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b9f5698-7f74-4258-869b-077f3e0a9b27", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-8_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "1b6b9175-8ac9-468f-888a-1b7e19bf12a1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1c_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1c, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1009, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b6b9175-8ac9-468f-888a-1b7e19bf12a1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 666\nRegularized training gain: 1.2802\nUnregularized training gain: 1.3799\nIterations: 500\nTraining AUC: 0.9059\n#Test samples: 73\nTest gain: 1.0738\nTest AUC: 0.8732\nAUC Standard Deviation: 0.0124\n#Background points: 5666\nbio_12_etrs2_ras contribution: 0.4269\nbio_15_etrs2_ras contribution: 2.9731\nbio_18_etrs2_ras contribution: 2.3412\nbio_4_etrs2_ras contribution: 66.1064\nbio_8_etrs2_ras contribution: 1.2798\nbld_m_sd1_1km_eu_ll contribution: 4.9566\ncecsum_m_sd1_1km_eu_ll contribution: 0.0476\nclyppt_m_sd1_1km_eu_ll contribution: 1.1946\ncrfvol_m_sd1_1km_eu_ll contribution: 2.1861\ndist2water1km contribution: 0.0257\norcdrc_m_sd1_1km_eu_ll contribution: 0.1318\npet_he_yr contribution: 6.821\nphihox_m_sd1_1km_eu_ll contribution: 9.5905\nsltppt_m_sd1_1km_eu_ll contribution: 0.0545\nsndppt_m_sd1_1km_eu_ll contribution: 1.6297\nsolar_1km contribution: 0.2346\nbio_12_etrs2_ras permutation importance: 2.3055\nbio_15_etrs2_ras permutation importance: 3.2361\nbio_18_etrs2_ras permutation importance: 2.2278\nbio_4_etrs2_ras permutation importance: 55.1138\nbio_8_etrs2_ras permutation importance: 0.9665\nbld_m_sd1_1km_eu_ll permutation importance: 6.9569\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.4431\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.4189\ncrfvol_m_sd1_1km_eu_ll permutation importance: 7.1748\ndist2water1km permutation importance: 0\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.6062\npet_he_yr permutation importance: 8.9596\nphihox_m_sd1_1km_eu_ll permutation importance: 7.6888\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.1921\nsndppt_m_sd1_1km_eu_ll permutation importance: 2.6035\nsolar_1km permutation importance: 0.1064\nEntropy: 7.3637\nPrevalence (average of logistic output over background sites): 0.1358\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.04\nFixed cumulative value 1 area: 0.3789\nFixed cumulative value 1 training omission: 0.0045\nFixed cumulative value 1 test omission: 0.0274\nFixed cumulative value 1 binomial probability: 6.88E-26\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1686\nFixed cumulative value 5 area: 0.2734\nFixed cumulative value 5 training omission: 0.0255\nFixed cumulative value 5 test omission: 0.0959\nFixed cumulative value 5 binomial probability: 5.89E-34\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2755\nFixed cumulative value 10 area: 0.2238\nFixed cumulative value 10 training omission: 0.0586\nFixed cumulative value 10 test omission: 0.1233\nFixed cumulative value 10 binomial probability: 3.71E-41\nMinimum training presence cumulative threshold: 0.0459\nMinimum training presence logistic threshold: 0.0014\nMinimum training presence area: 0.6442\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.08E-10\n10 percentile training presence cumulative threshold: 15.122\n10 percentile training presence logistic threshold: 0.365\n10 percentile training presence area: 0.1936\n10 percentile training presence training omission: 0.0991\n10 percentile training presence test omission: 0.1918\n10 percentile training presence binomial probability: 1.32E-40\nEqual training sensitivity and specificity cumulative threshold: 22.4874\nEqual training sensitivity and specificity logistic threshold: 0.4269\nEqual training sensitivity and specificity area: 0.1624\nEqual training sensitivity and specificity training omission: 0.1622\nEqual training sensitivity and specificity test omission: 0.3425\nEqual training sensitivity and specificity binomial probability: 9.15E-31\nMaximum training sensitivity plus specificity cumulative threshold: 9.7059\nMaximum training sensitivity plus specificity logistic threshold: 0.2681\nMaximum training sensitivity plus specificity area: 0.2261\nMaximum training sensitivity plus specificity training omission: 0.0526\nMaximum training sensitivity plus specificity test omission: 0.1233\nMaximum training sensitivity plus specificity binomial probability: 1.33E-40\nEqual test sensitivity and specificity cumulative threshold: 15.4509\nEqual test sensitivity and specificity logistic threshold: 0.3683\nEqual test sensitivity and specificity area: 0.192\nEqual test sensitivity and specificity training omission: 0.1021\nEqual test sensitivity and specificity test omission: 0.1918\nEqual test sensitivity and specificity binomial probability: 4.77E-41\nMaximum test sensitivity plus specificity cumulative threshold: 10.7774\nMaximum test sensitivity plus specificity logistic threshold: 0.2889\nMaximum test sensitivity plus specificity area: 0.2183\nMaximum test sensitivity plus specificity training omission: 0.0646\nMaximum test sensitivity plus specificity test omission: 0.1233\nMaximum test sensitivity plus specificity binomial probability: 1.58E-42\nBalance training omission, predicted area and threshold value cumulative threshold: 1.6988\nBalance training omission, predicted area and threshold value logistic threshold: 0.0686\nBalance training omission, predicted area and threshold value area: 0.3449\nBalance training omission, predicted area and threshold value training omission: 0.006\nBalance training omission, predicted area and threshold value test omission: 0.0411\nBalance training omission, predicted area and threshold value binomial probability: 1.26E-28\nEquate entropy of thresholded and original distributions cumulative threshold: 4.6521\nEquate entropy of thresholded and original distributions logistic threshold: 0.1577\nEquate entropy of thresholded and original distributions area: 0.2783\nEquate entropy of thresholded and original distributions training omission: 0.021\nEquate entropy of thresholded and original distributions test omission: 0.0959\nEquate entropy of thresholded and original distributions binomial probability: 4.13E-33", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "ced07f32-c509-4b85-891f-f8eef4fdb6bf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.4b distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1010, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ced07f32-c509-4b85-891f-f8eef4fdb6bf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-4b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "2075009c-11bd-4566-a8e6-53c2bcda9428", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-5_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.5 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1011, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2075009c-11bd-4566-a8e6-53c2bcda9428", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g2-5_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "c456eebe-180f-4c9f-afba-7b3179a72bfc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2a_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2.2a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1012, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c456eebe-180f-4c9f-afba-7b3179a72bfc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f2-2a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1070\nRegularized training gain: 1.3458\nUnregularized training gain: 1.4095\nIterations: 500\nTraining AUC: 0.901\n#Test samples: 118\nTest gain: 1.2721\nTest AUC: 0.8861\nAUC Standard Deviation: 0.0075\n#Background points: 6070\nbio_12_etrs2_ras contribution: 33.5265\nbio_15_etrs2_ras contribution: 0.1903\nbio_18_etrs2_ras contribution: 9.6382\nbio_4_etrs2_ras contribution: 1.0636\nbio_8_etrs2_ras contribution: 0.5933\nbld_m_sd1_1km_eu_ll contribution: 2.8496\ncecsum_m_sd1_1km_eu_ll contribution: 0.6751\nclyppt_m_sd1_1km_eu_ll contribution: 1.2887\ncrfvol_m_sd1_1km_eu_ll contribution: 18.1061\ndist2water1km contribution: 0\norcdrc_m_sd1_1km_eu_ll contribution: 11.4909\npet_he_yr contribution: 3.6068\nphihox_m_sd1_1km_eu_ll contribution: 0.1302\nsltppt_m_sd1_1km_eu_ll contribution: 1.8458\nsndppt_m_sd1_1km_eu_ll contribution: 0.6931\nsolar_1km contribution: 14.3018\nbio_12_etrs2_ras permutation importance: 1.0794\nbio_15_etrs2_ras permutation importance: 0.6918\nbio_18_etrs2_ras permutation importance: 7.8141\nbio_4_etrs2_ras permutation importance: 6.4946\nbio_8_etrs2_ras permutation importance: 0.9379\nbld_m_sd1_1km_eu_ll permutation importance: 0.5402\ncecsum_m_sd1_1km_eu_ll permutation importance: 4.6098\nclyppt_m_sd1_1km_eu_ll permutation importance: 5.4915\ncrfvol_m_sd1_1km_eu_ll permutation importance: 56.308\ndist2water1km permutation importance: 0\norcdrc_m_sd1_1km_eu_ll permutation importance: 2.8099\npet_he_yr permutation importance: 10.1387\nphihox_m_sd1_1km_eu_ll permutation importance: 0.3418\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.5011\nsndppt_m_sd1_1km_eu_ll permutation importance: 1.1682\nsolar_1km permutation importance: 1.0731\nEntropy: 7.3657\nPrevalence (average of logistic output over background sites): 0.1264\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0349\nFixed cumulative value 1 area: 0.3572\nFixed cumulative value 1 training omission: 0.0047\nFixed cumulative value 1 test omission: 0.0169\nFixed cumulative value 1 binomial probability: 5.36E-46\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1584\nFixed cumulative value 5 area: 0.2453\nFixed cumulative value 5 training omission: 0.0234\nFixed cumulative value 5 test omission: 0.0593\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2848\nFixed cumulative value 10 area: 0.199\nFixed cumulative value 10 training omission: 0.0561\nFixed cumulative value 10 test omission: 0.0932\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.1003\nMinimum training presence logistic threshold: 0.002\nMinimum training presence area: 0.6049\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 8.29E-19\n10 percentile training presence cumulative threshold: 13.5366\n10 percentile training presence logistic threshold: 0.3562\n10 percentile training presence area: 0.1797\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1441\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 18.1358\nEqual training sensitivity and specificity logistic threshold: 0.435\nEqual training sensitivity and specificity area: 0.1616\nEqual training sensitivity and specificity training omission: 0.1617\nEqual training sensitivity and specificity test omission: 0.2119\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.2314\nMaximum training sensitivity plus specificity logistic threshold: 0.2444\nMaximum training sensitivity plus specificity area: 0.2117\nMaximum training sensitivity plus specificity training omission: 0.0411\nMaximum training sensitivity plus specificity test omission: 0.0847\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 14.1477\nEqual test sensitivity and specificity logistic threshold: 0.3691\nEqual test sensitivity and specificity area: 0.1769\nEqual test sensitivity and specificity training omission: 0.1075\nEqual test sensitivity and specificity test omission: 0.178\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 6.807\nMaximum test sensitivity plus specificity logistic threshold: 0.2098\nMaximum test sensitivity plus specificity area: 0.2242\nMaximum test sensitivity plus specificity training omission: 0.0299\nMaximum test sensitivity plus specificity test omission: 0.0593\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.5235\nBalance training omission, predicted area and threshold value logistic threshold: 0.0551\nBalance training omission, predicted area and threshold value area: 0.3278\nBalance training omission, predicted area and threshold value training omission: 0.0056\nBalance training omission, predicted area and threshold value test omission: 0.0254\nBalance training omission, predicted area and threshold value binomial probability: 6.14E-51\nEquate entropy of thresholded and original distributions cumulative threshold: 4.0404\nEquate entropy of thresholded and original distributions logistic threshold: 0.1289\nEquate entropy of thresholded and original distributions area: 0.2603\nEquate entropy of thresholded and original distributions training omission: 0.0187\nEquate entropy of thresholded and original distributions test omission: 0.0508\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "412b0d02-95c3-4c1f-aecc-55b268c7c8fe", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.6a distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1013, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/412b0d02-95c3-4c1f-aecc-55b268c7c8fe", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g1-6a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "fc81c6ec-3fb4-4ad6-9707-8975ee9dc7c3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-6_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.6 distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1014, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc81c6ec-3fb4-4ad6-9707-8975ee9dc7c3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-6_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "bc4b2fff-b175-42ea-899c-5cf8293c523f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-3_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7-3 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1015, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc4b2fff-b175-42ea-899c-5cf8293c523f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f7-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "e94efd6d-555c-4df1-bb2a-9913403fa05d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6-1a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1016, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e94efd6d-555c-4df1-bb2a-9913403fa05d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f6-1a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "033c6a47-a38e-4e3a-98a1-027f6f2f712a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.6b, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 1017, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/033c6a47-a38e-4e3a-98a1-027f6f2f712a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-6b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 2817\nRegularized training gain: 0.8222\nUnregularized training gain: 0.8657\nIterations: 500\nTraining AUC: 0.8336\n#Test samples: 312\nTest gain: 0.8563\nTest AUC: 0.8312\nAUC Standard Deviation: 0.0072\n#Background points: 12808\nbio_12_etrs2_ras contribution: 8.8968\nbio_15_etrs2_ras contribution: 1.1614\nbio_18_etrs2_ras contribution: 7.0438\nbio_4_etrs2_ras contribution: 58.7703\nbio_8_etrs2_ras contribution: 0.0876\ndist2water1km contribution: 0.0586\npet_he_yr contribution: 22.2968\nsoil_ph contribution: 0.224\nsolar_1km contribution: 1.4606\nbio_12_etrs2_ras permutation importance: 4.9173\nbio_15_etrs2_ras permutation importance: 3.0181\nbio_18_etrs2_ras permutation importance: 5.8809\nbio_4_etrs2_ras permutation importance: 63.4057\nbio_8_etrs2_ras permutation importance: 0.201\ndist2water1km permutation importance: 0.2517\npet_he_yr permutation importance: 19.9466\nsoil_ph permutation importance: 0.4075\nsolar_1km permutation importance: 1.9711\nEntropy: 8.6365\nPrevalence (average of logistic output over background sites): 0.2167\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0701\nFixed cumulative value 1 area: 0.4961\nFixed cumulative value 1 training omission: 0.005\nFixed cumulative value 1 test omission: 0.0032\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2601\nFixed cumulative value 5 area: 0.4086\nFixed cumulative value 5 training omission: 0.0334\nFixed cumulative value 5 test omission: 0.0417\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3472\nFixed cumulative value 10 area: 0.3586\nFixed cumulative value 10 training omission: 0.0753\nFixed cumulative value 10 test omission: 0.0737\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.1542\nMinimum training presence logistic threshold: 0.0066\nMinimum training presence area: 0.6498\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 9.22E-39\n10 percentile training presence cumulative threshold: 12.3933\n10 percentile training presence logistic threshold: 0.3705\n10 percentile training presence area: 0.3397\n10 percentile training presence training omission: 0.0998\n10 percentile training presence test omission: 0.1058\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 27.2447\nEqual training sensitivity and specificity logistic threshold: 0.4609\nEqual training sensitivity and specificity area: 0.2495\nEqual training sensitivity and specificity training omission: 0.2496\nEqual training sensitivity and specificity test omission: 0.2532\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.1514\nMaximum training sensitivity plus specificity logistic threshold: 0.3203\nMaximum training sensitivity plus specificity area: 0.3748\nMaximum training sensitivity plus specificity training omission: 0.0525\nMaximum training sensitivity plus specificity test omission: 0.0609\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 26.5216\nEqual test sensitivity and specificity logistic threshold: 0.4576\nEqual test sensitivity and specificity area: 0.2532\nEqual test sensitivity and specificity training omission: 0.2425\nEqual test sensitivity and specificity test omission: 0.2532\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 10.8106\nMaximum test sensitivity plus specificity logistic threshold: 0.3546\nMaximum test sensitivity plus specificity area: 0.352\nMaximum test sensitivity plus specificity training omission: 0.0827\nMaximum test sensitivity plus specificity test omission: 0.0769\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 0.9322\nBalance training omission, predicted area and threshold value logistic threshold: 0.0639\nBalance training omission, predicted area and threshold value area: 0.5002\nBalance training omission, predicted area and threshold value training omission: 0.0039\nBalance training omission, predicted area and threshold value test omission: 0.0032\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 2.9505\nEquate entropy of thresholded and original distributions logistic threshold: 0.1898\nEquate entropy of thresholded and original distributions area: 0.4398\nEquate entropy of thresholded and original distributions training omission: 0.0167\nEquate entropy of thresholded and original distributions test omission: 0.016\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "79ff3c28-2f7a-4b1f-9bcd-9958bd93a1d0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-2_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5.2, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1018, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79ff3c28-2f7a-4b1f-9bcd-9958bd93a1d0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f5-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 894\nRegularized training gain: 1.2056\nUnregularized training gain: 1.2932\nIterations: 500\nTraining AUC: 0.896\n#Test samples: 99\nTest gain: 1.2505\nTest AUC: 0.8916\nAUC Standard Deviation: 0.0095\n#Background points: 5563\nbio_12_etrs2_ras contribution: 0.7252\nbio_15_etrs2_ras contribution: 7.0148\nbio_18_etrs2_ras contribution: 43.1301\nbio_4_etrs2_ras contribution: 2.3359\nbio_8_etrs2_ras contribution: 1.0568\nbld_m_sd1_1km_eu_ll contribution: 0.7121\ncecsum_m_sd1_1km_eu_ll contribution: 2.3304\nclyppt_m_sd1_1km_eu_ll contribution: 15.6443\ncrfvol_m_sd1_1km_eu_ll contribution: 0.1013\ndist2water1km contribution: 1.3011\norcdrc_m_sd1_1km_eu_ll contribution: 1.0934\npet_he_yr contribution: 19.0313\nsltppt_m_sd1_1km_eu_ll contribution: 5.0247\nsndppt_m_sd1_1km_eu_ll contribution: 0.3943\nsolar_1km contribution: 0.1041\nbio_12_etrs2_ras permutation importance: 2.1861\nbio_15_etrs2_ras permutation importance: 12.6142\nbio_18_etrs2_ras permutation importance: 18.111\nbio_4_etrs2_ras permutation importance: 2.3407\nbio_8_etrs2_ras permutation importance: 3.9781\nbld_m_sd1_1km_eu_ll permutation importance: 8.0687\ncecsum_m_sd1_1km_eu_ll permutation importance: 3.532\nclyppt_m_sd1_1km_eu_ll permutation importance: 7.098\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.7357\ndist2water1km permutation importance: 0.6488\norcdrc_m_sd1_1km_eu_ll permutation importance: 2.4227\npet_he_yr permutation importance: 29.9998\nsltppt_m_sd1_1km_eu_ll permutation importance: 5.6409\nsndppt_m_sd1_1km_eu_ll permutation importance: 2.0732\nsolar_1km permutation importance: 0.5502\nTraining gain without bio_12_etrs2_ras: 1.2013\nTraining gain without bio_15_etrs2_ras: 1.1892\nTraining gain without bio_18_etrs2_ras: 1.1859\nTraining gain without bio_4_etrs2_ras: 1.2008\nTraining gain without bio_8_etrs2_ras: 1.1979\nTraining gain without bld_m_sd1_1km_eu_ll: 1.1995\nTraining gain without cecsum_m_sd1_1km_eu_ll: 1.202\nTraining gain without clyppt_m_sd1_1km_eu_ll: 1.1984\nTraining gain without crfvol_m_sd1_1km_eu_ll: 1.2033\nTraining gain without dist2water1km: 1.2037\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 1.1999\nTraining gain without pet_he_yr: 1.1832\nTraining gain without sltppt_m_sd1_1km_eu_ll: 1.1943\nTraining gain without sndppt_m_sd1_1km_eu_ll: 1.2018\nTraining gain without solar_1km: 1.2056\nTraining gain with only bio_12_etrs2_ras: 0.1618\nTraining gain with only bio_15_etrs2_ras: 0.5217\nTraining gain with only bio_18_etrs2_ras: 0.8223\nTraining gain with only bio_4_etrs2_ras: 0.245\nTraining gain with only bio_8_etrs2_ras: 0.3212\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.5661\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.2921\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.6441\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.147\nTraining gain with only dist2water1km: 0.1292\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.1302\nTraining gain with only pet_he_yr: 0.6664\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.3591\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.2585\nTraining gain with only solar_1km: 0.1527\nTest gain without bio_12_etrs2_ras: 1.2349\nTest gain without bio_15_etrs2_ras: 1.2059\nTest gain without bio_18_etrs2_ras: 1.26\nTest gain without bio_4_etrs2_ras: 1.255\nTest gain without bio_8_etrs2_ras: 1.2379\nTest gain without bld_m_sd1_1km_eu_ll: 1.2625\nTest gain without cecsum_m_sd1_1km_eu_ll: 1.2524\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.2543\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.2543\nTest gain without dist2water1km: 1.2694\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.2495\nTest gain without pet_he_yr: 1.1884\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.2264\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.2511\nTest gain without solar_1km: 1.254\nTest gain with only bio_12_etrs2_ras: 0.1303\nTest gain with only bio_15_etrs2_ras: 0.4661\nTest gain with only bio_18_etrs2_ras: 0.6402\nTest gain with only bio_4_etrs2_ras: 0.2172\nTest gain with only bio_8_etrs2_ras: 0.4028\nTest gain with only bld_m_sd1_1km_eu_ll: 0.4662\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.2434\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.7091\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.2077\nTest gain with only dist2water1km: 0.0871\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.0485\nTest gain with only pet_he_yr: 0.7167\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.3823\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.3553\nTest gain with only solar_1km: 0.1306\nAUC without bio_12_etrs2_ras: 0.8895\nAUC without bio_15_etrs2_ras: 0.8869\nAUC without bio_18_etrs2_ras: 0.8931\nAUC without bio_4_etrs2_ras: 0.8923\nAUC without bio_8_etrs2_ras: 0.8896\nAUC without bld_m_sd1_1km_eu_ll: 0.893\nAUC without cecsum_m_sd1_1km_eu_ll: 0.8919\nAUC without clyppt_m_sd1_1km_eu_ll: 0.892\nAUC without crfvol_m_sd1_1km_eu_ll: 0.8913\nAUC without dist2water1km: 0.8934\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.8913\nAUC without pet_he_yr: 0.8857\nAUC without sltppt_m_sd1_1km_eu_ll: 0.8887\nAUC without sndppt_m_sd1_1km_eu_ll: 0.8922\nAUC without solar_1km: 0.8923\nAUC with only bio_12_etrs2_ras: 0.6278\nAUC with only bio_15_etrs2_ras: 0.7562\nAUC with only bio_18_etrs2_ras: 0.8011\nAUC with only bio_4_etrs2_ras: 0.6683\nAUC with only bio_8_etrs2_ras: 0.7503\nAUC with only bld_m_sd1_1km_eu_ll: 0.7591\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.6912\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.8184\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.6774\nAUC with only dist2water1km: 0.5777\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.6044\nAUC with only pet_he_yr: 0.8029\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.7402\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.7368\nAUC with only solar_1km: 0.6264\nEntropy: 7.4257\nPrevalence (average of logistic output over background sites): 0.1471\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0298\nFixed cumulative value 1 area: 0.4228\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.52E-31\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1808\nFixed cumulative value 5 area: 0.2986\nFixed cumulative value 5 training omission: 0.0201\nFixed cumulative value 5 test omission: 0.0404\nFixed cumulative value 5 binomial probability: 3.89E-47\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2718\nFixed cumulative value 10 area: 0.2468\nFixed cumulative value 10 training omission: 0.0738\nFixed cumulative value 10 test omission: 0.1111\nFixed cumulative value 10 binomial probability: 5.65E-50\nMinimum training presence cumulative threshold: 1.4416\nMinimum training presence logistic threshold: 0.0469\nMinimum training presence area: 0.3895\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 6.50E-36\n10 percentile training presence cumulative threshold: 12.6367\n10 percentile training presence logistic threshold: 0.3032\n10 percentile training presence area: 0.227\n10 percentile training presence training omission: 0.0996\n10 percentile training presence test omission: 0.1414\n10 percentile training presence binomial probability: 3.66E-51\nEqual training sensitivity and specificity cumulative threshold: 20.6783\nEqual training sensitivity and specificity logistic threshold: 0.4018\nEqual training sensitivity and specificity area: 0.1821\nEqual training sensitivity and specificity training omission: 0.1823\nEqual training sensitivity and specificity test omission: 0.2222\nEqual training sensitivity and specificity binomial probability: 1.57E-53\nMaximum training sensitivity plus specificity cumulative threshold: 8.6839\nMaximum training sensitivity plus specificity logistic threshold: 0.2506\nMaximum training sensitivity plus specificity area: 0.258\nMaximum training sensitivity plus specificity training omission: 0.0548\nMaximum training sensitivity plus specificity test omission: 0.101\nMaximum training sensitivity plus specificity binomial probability: 1.92E-48\nEqual test sensitivity and specificity cumulative threshold: 19.3268\nEqual test sensitivity and specificity logistic threshold: 0.3858\nEqual test sensitivity and specificity area: 0.1884\nEqual test sensitivity and specificity training omission: 0.1667\nEqual test sensitivity and specificity test omission: 0.1919\nEqual test sensitivity and specificity binomial probability: 2.56E-56\nMaximum test sensitivity plus specificity cumulative threshold: 3.5748\nMaximum test sensitivity plus specificity logistic threshold: 0.14\nMaximum test sensitivity plus specificity area: 0.3212\nMaximum test sensitivity plus specificity training omission: 0.0089\nMaximum test sensitivity plus specificity test omission: 0.0101\nMaximum test sensitivity plus specificity binomial probability: 2.30E-46\nBalance training omission, predicted area and threshold value cumulative threshold: 2.277\nBalance training omission, predicted area and threshold value logistic threshold: 0.0842\nBalance training omission, predicted area and threshold value area: 0.3525\nBalance training omission, predicted area and threshold value training omission: 0.0022\nBalance training omission, predicted area and threshold value test omission: 0.0101\nBalance training omission, predicted area and threshold value binomial probability: 1.63E-40\nEquate entropy of thresholded and original distributions cumulative threshold: 4.7895\nEquate entropy of thresholded and original distributions logistic threshold: 0.1753\nEquate entropy of thresholded and original distributions area: 0.3016\nEquate entropy of thresholded and original distributions training omission: 0.0179\nEquate entropy of thresholded and original distributions test omission: 0.0404\nEquate entropy of thresholded and original distributions binomial probability: 1.84E-46", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "01545f45-7cf4-40c5-ba35-e4cba6b88e1c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1h_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1h, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1019, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01545f45-7cf4-40c5-ba35-e4cba6b88e1c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1h_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 145\nRegularized training gain: 1.7141\nUnregularized training gain: 2.1221\nIterations: 500\nTraining AUC: 0.9574\n#Test samples: 16\nTest gain: 1.5508\nTest AUC: 0.9256\nAUC Standard Deviation: 0.0169\n#Background points: 5145\nbio_12_etrs2_ras contribution: 0.7647\nbio_15_etrs2_ras contribution: 0.954\nbio_18_etrs2_ras contribution: 6.175\nbio_4_etrs2_ras contribution: 42.3336\nbio_8_etrs2_ras contribution: 0.1205\nbld_m_sd1_1km_eu_ll contribution: 1.0246\ncecsum_m_sd1_1km_eu_ll contribution: 0.4204\nclyppt_m_sd1_1km_eu_ll contribution: 2.7162\ncrfvol_m_sd1_1km_eu_ll contribution: 5.506\ndist2water1km contribution: 0.0265\norcdrc_m_sd1_1km_eu_ll contribution: 1.1925\npet_he_yr contribution: 25.6775\nphihox_m_sd1_1km_eu_ll contribution: 6.1546\nsltppt_m_sd1_1km_eu_ll contribution: 0.6205\nsndppt_m_sd1_1km_eu_ll contribution: 5.051\nsolar_1km contribution: 1.2624\nbio_12_etrs2_ras permutation importance: 1.1384\nbio_15_etrs2_ras permutation importance: 1.9366\nbio_18_etrs2_ras permutation importance: 9.0721\nbio_4_etrs2_ras permutation importance: 47.0905\nbio_8_etrs2_ras permutation importance: 0.0504\nbld_m_sd1_1km_eu_ll permutation importance: 0.4373\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.7225\nclyppt_m_sd1_1km_eu_ll permutation importance: 2.9661\ncrfvol_m_sd1_1km_eu_ll permutation importance: 7.8961\ndist2water1km permutation importance: 0.1674\norcdrc_m_sd1_1km_eu_ll permutation importance: 2.5233\npet_he_yr permutation importance: 20.9237\nphihox_m_sd1_1km_eu_ll permutation importance: 1.2589\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.629\nsndppt_m_sd1_1km_eu_ll permutation importance: 2.6279\nsolar_1km permutation importance: 0.5598\nEntropy: 6.8718\nPrevalence (average of logistic output over background sites): 0.0904\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0132\nFixed cumulative value 1 area: 0.4795\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 7.81E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0799\nFixed cumulative value 5 area: 0.2599\nFixed cumulative value 5 training omission: 0.0069\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 4.32E-10\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1562\nFixed cumulative value 10 area: 0.1885\nFixed cumulative value 10 training omission: 0.0414\nFixed cumulative value 10 test omission: 0.0625\nFixed cumulative value 10 binomial probability: 1.78E-10\nMinimum training presence cumulative threshold: 2.3434\nMinimum training presence logistic threshold: 0.0294\nMinimum training presence area: 0.3549\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 6.34E-08\n10 percentile training presence cumulative threshold: 22.6075\n10 percentile training presence logistic threshold: 0.3087\n10 percentile training presence area: 0.1094\n10 percentile training presence training omission: 0.0966\n10 percentile training presence test omission: 0.3125\n10 percentile training presence binomial probability: 6.94E-08\nEqual training sensitivity and specificity cumulative threshold: 24.1214\nEqual training sensitivity and specificity logistic threshold: 0.329\nEqual training sensitivity and specificity area: 0.1034\nEqual training sensitivity and specificity training omission: 0.1034\nEqual training sensitivity and specificity test omission: 0.3125\nEqual training sensitivity and specificity binomial probability: 3.84E-08\nMaximum training sensitivity plus specificity cumulative threshold: 20.1201\nMaximum training sensitivity plus specificity logistic threshold: 0.2859\nMaximum training sensitivity plus specificity area: 0.1205\nMaximum training sensitivity plus specificity training omission: 0.069\nMaximum training sensitivity plus specificity test omission: 0.25\nMaximum training sensitivity plus specificity binomial probability: 1.06E-08\nEqual test sensitivity and specificity cumulative threshold: 16.0628\nEqual test sensitivity and specificity logistic threshold: 0.2389\nEqual test sensitivity and specificity area: 0.1415\nEqual test sensitivity and specificity training omission: 0.0621\nEqual test sensitivity and specificity test omission: 0.125\nEqual test sensitivity and specificity binomial probability: 1.17E-10\nMaximum test sensitivity plus specificity cumulative threshold: 14.7971\nMaximum test sensitivity plus specificity logistic threshold: 0.2194\nMaximum test sensitivity plus specificity area: 0.1495\nMaximum test sensitivity plus specificity training omission: 0.0621\nMaximum test sensitivity plus specificity test omission: 0.0625\nMaximum test sensitivity plus specificity binomial probability: 5.71E-12\nBalance training omission, predicted area and threshold value cumulative threshold: 4.4862\nBalance training omission, predicted area and threshold value logistic threshold: 0.0696\nBalance training omission, predicted area and threshold value area: 0.2719\nBalance training omission, predicted area and threshold value training omission: 0.0069\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 8.93E-10\nEquate entropy of thresholded and original distributions cumulative threshold: 10.1319\nEquate entropy of thresholded and original distributions logistic threshold: 0.157\nEquate entropy of thresholded and original distributions area: 0.1874\nEquate entropy of thresholded and original distributions training omission: 0.0414\nEquate entropy of thresholded and original distributions test omission: 0.0625\nEquate entropy of thresholded and original distributions binomial probability: 1.62E-10", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7b48d009-a590-4c09-9c89-e6c1dcfbddc8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-E_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.E distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1020, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b48d009-a590-4c09-9c89-e6c1dcfbddc8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-e_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "25f2e3af-7556-486a-9626-8c06b9aadfe9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-9a_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G1.9a, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 1021, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/25f2e3af-7556-486a-9626-8c06b9aadfe9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g1-9a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 99\nRegularized training gain: 2.2481\nUnregularized training gain: 2.9579\nIterations: 500\nTraining AUC: 0.9694\n#Test samples: 11\nTest gain: 1.7022\nTest AUC: 0.9146\nAUC Standard Deviation: 0.0308\n#Background points: 9833\nbio_12_etrs2_ras contribution: 8.5167\nbio_15_etrs2_ras contribution: 9.189\nbio_18_etrs2_ras contribution: 7.8623\nbio_4_etrs2_ras contribution: 21.1121\nbio_8_etrs2_ras contribution: 15.3974\ndist2water1km contribution: 0.6898\npet_he_yr contribution: 25.3501\nsoil_ph contribution: 8.7273\nsolar_1km contribution: 3.1554\nbio_12_etrs2_ras permutation importance: 3.9736\nbio_15_etrs2_ras permutation importance: 9.7358\nbio_18_etrs2_ras permutation importance: 19.4918\nbio_4_etrs2_ras permutation importance: 10.5796\nbio_8_etrs2_ras permutation importance: 18.263\ndist2water1km permutation importance: 0\npet_he_yr permutation importance: 27.2839\nsoil_ph permutation importance: 6.0641\nsolar_1km permutation importance: 4.6082\nTraining gain without bio_12_etrs2_ras: 2.1807\nTraining gain without bio_15_etrs2_ras: 2.1887\nTraining gain without bio_18_etrs2_ras: 2.1442\nTraining gain without bio_4_etrs2_ras: 2.1211\nTraining gain without bio_8_etrs2_ras: 2.1565\nTraining gain without dist2water1km: 2.2355\nTraining gain without pet_he_yr: 2.0078\nTraining gain without soil_ph: 2.1652\nTraining gain without solar_1km: 2.2149\nTraining gain with only bio_12_etrs2_ras: 0.5069\nTraining gain with only bio_15_etrs2_ras: 0.33\nTraining gain with only bio_18_etrs2_ras: 0.2518\nTraining gain with only bio_4_etrs2_ras: 0.9333\nTraining gain with only bio_8_etrs2_ras: 0.5708\nTraining gain with only dist2water1km: 0.0473\nTraining gain with only pet_he_yr: 0.6878\nTraining gain with only soil_ph: 0.2248\nTraining gain with only solar_1km: 0.1627\nTest gain without bio_12_etrs2_ras: 1.656\nTest gain without bio_15_etrs2_ras: 1.4515\nTest gain without bio_18_etrs2_ras: 1.6262\nTest gain without bio_4_etrs2_ras: 1.7071\nTest gain without bio_8_etrs2_ras: 1.6351\nTest gain without dist2water1km: 1.7277\nTest gain without pet_he_yr: 1.6187\nTest gain without soil_ph: 1.4879\nTest gain without solar_1km: 1.7511\nTest gain with only bio_12_etrs2_ras: 0.5036\nTest gain with only bio_15_etrs2_ras: 0.4511\nTest gain with only bio_18_etrs2_ras: 0.1853\nTest gain with only bio_4_etrs2_ras: 0.8653\nTest gain with only bio_8_etrs2_ras: 0.3828\nTest gain with only dist2water1km: 0.0987\nTest gain with only pet_he_yr: 1.2185\nTest gain with only soil_ph: 0.3371\nTest gain with only solar_1km: 0.0119\nAUC without bio_12_etrs2_ras: 0.9133\nAUC without bio_15_etrs2_ras: 0.882\nAUC without bio_18_etrs2_ras: 0.9099\nAUC without bio_4_etrs2_ras: 0.91\nAUC without bio_8_etrs2_ras: 0.9006\nAUC without dist2water1km: 0.9187\nAUC without pet_he_yr: 0.9131\nAUC without soil_ph: 0.8801\nAUC without solar_1km: 0.904\nAUC with only bio_12_etrs2_ras: 0.6623\nAUC with only bio_15_etrs2_ras: 0.7424\nAUC with only bio_18_etrs2_ras: 0.6219\nAUC with only bio_4_etrs2_ras: 0.7687\nAUC with only bio_8_etrs2_ras: 0.7101\nAUC with only dist2water1km: 0.6527\nAUC with only pet_he_yr: 0.7435\nAUC with only soil_ph: 0.7257\nAUC with only solar_1km: 0.5614\nEntropy: 6.9906\nPrevalence (average of logistic output over background sites): 0.0525\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0065\nFixed cumulative value 1 area: 0.5736\nFixed cumulative value 1 training omission: 0.0101\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.21E-03\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0319\nFixed cumulative value 5 area: 0.2861\nFixed cumulative value 5 training omission: 0.0303\nFixed cumulative value 5 test omission: 0.0909\nFixed cumulative value 5 binomial probability: 2.99E-05\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0693\nFixed cumulative value 10 area: 0.1762\nFixed cumulative value 10 training omission: 0.0404\nFixed cumulative value 10 test omission: 0.2727\nFixed cumulative value 10 binomial probability: 9.22E-05\nMinimum training presence cumulative threshold: 0.5454\nMinimum training presence logistic threshold: 0.0041\nMinimum training presence area: 0.6691\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.20E-02\n10 percentile training presence cumulative threshold: 20.4176\n10 percentile training presence logistic threshold: 0.1663\n10 percentile training presence area: 0.0824\n10 percentile training presence training omission: 0.0909\n10 percentile training presence test omission: 0.3636\n10 percentile training presence binomial probability: 6.30E-06\nEqual training sensitivity and specificity cumulative threshold: 20.3993\nEqual training sensitivity and specificity logistic threshold: 0.1662\nEqual training sensitivity and specificity area: 0.0825\nEqual training sensitivity and specificity training omission: 0.0808\nEqual training sensitivity and specificity test omission: 0.3636\nEqual training sensitivity and specificity binomial probability: 6.35E-06\nMaximum training sensitivity plus specificity cumulative threshold: 20.3993\nMaximum training sensitivity plus specificity logistic threshold: 0.1662\nMaximum training sensitivity plus specificity area: 0.0825\nMaximum training sensitivity plus specificity training omission: 0.0808\nMaximum training sensitivity plus specificity test omission: 0.3636\nMaximum training sensitivity plus specificity binomial probability: 6.35E-06\nEqual test sensitivity and specificity cumulative threshold: 8.6222\nEqual test sensitivity and specificity logistic threshold: 0.0582\nEqual test sensitivity and specificity area: 0.1988\nEqual test sensitivity and specificity training omission: 0.0404\nEqual test sensitivity and specificity test omission: 0.1818\nEqual test sensitivity and specificity binomial probability: 1.80E-05\nMaximum test sensitivity plus specificity cumulative threshold: 8.543\nMaximum test sensitivity plus specificity logistic threshold: 0.0575\nMaximum test sensitivity plus specificity area: 0.2002\nMaximum test sensitivity plus specificity training omission: 0.0404\nMaximum test sensitivity plus specificity test omission: 0.0909\nMaximum test sensitivity plus specificity binomial probability: 9.33E-07\nBalance training omission, predicted area and threshold value cumulative threshold: 4.6728\nBalance training omission, predicted area and threshold value logistic threshold: 0.0295\nBalance training omission, predicted area and threshold value area: 0.2976\nBalance training omission, predicted area and threshold value training omission: 0.0101\nBalance training omission, predicted area and threshold value test omission: 0.0909\nBalance training omission, predicted area and threshold value binomial probability: 4.37E-05\nEquate entropy of thresholded and original distributions cumulative threshold: 16.1275\nEquate entropy of thresholded and original distributions logistic threshold: 0.1246\nEquate entropy of thresholded and original distributions area: 0.1104\nEquate entropy of thresholded and original distributions training omission: 0.0808\nEquate entropy of thresholded and original distributions test omission: 0.2727\nEquate entropy of thresholded and original distributions binomial probability: 2.68E-06", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "8674d6a8-6ee8-48ae-8ec4-fe283dbd8f61", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1f_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1f, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1022, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8674d6a8-6ee8-48ae-8ec4-fe283dbd8f61", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1f_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 109\nRegularized training gain: 2.7594\nUnregularized training gain: 3.0464\nIterations: 500\nTraining AUC: 0.9839\n#Test samples: 12\nTest gain: 2.9232\nTest AUC: 0.9817\nAUC Standard Deviation: 0.0052\n#Background points: 5076\nbio_12_etrs2_ras contribution: 6.7421\nbio_15_etrs2_ras contribution: 0.3781\nbio_18_etrs2_ras contribution: 0.4852\nbio_4_etrs2_ras contribution: 70.2836\nbio_8_etrs2_ras contribution: 5.0984\nbld_m_sd1_1km_eu_ll contribution: 0.2286\ncecsum_m_sd1_1km_eu_ll contribution: 0.1622\nclyppt_m_sd1_1km_eu_ll contribution: 1.4129\ncrfvol_m_sd1_1km_eu_ll contribution: 0.8514\ndist2water1km contribution: 0.3029\norcdrc_m_sd1_1km_eu_ll contribution: 0.297\npet_he_yr contribution: 2.3728\nsltppt_m_sd1_1km_eu_ll contribution: 4.5709\nsndppt_m_sd1_1km_eu_ll contribution: 6.1524\nsolar_1km contribution: 0.6615\nbio_12_etrs2_ras permutation importance: 11.889\nbio_15_etrs2_ras permutation importance: 0.0496\nbio_18_etrs2_ras permutation importance: 0.5891\nbio_4_etrs2_ras permutation importance: 66.2322\nbio_8_etrs2_ras permutation importance: 4.3399\nbld_m_sd1_1km_eu_ll permutation importance: 0.6349\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.3995\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.8469\ncrfvol_m_sd1_1km_eu_ll permutation importance: 1.6238\ndist2water1km permutation importance: 1.1414\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.4085\npet_he_yr permutation importance: 1.4892\nsltppt_m_sd1_1km_eu_ll permutation importance: 1.3239\nsndppt_m_sd1_1km_eu_ll permutation importance: 6.1719\nsolar_1km permutation importance: 1.8601\nTraining gain without bio_12_etrs2_ras: 2.7327\nTraining gain without bio_15_etrs2_ras: 2.7518\nTraining gain without bio_18_etrs2_ras: 2.7524\nTraining gain without bio_4_etrs2_ras: 2.5621\nTraining gain without bio_8_etrs2_ras: 2.7439\nTraining gain without bld_m_sd1_1km_eu_ll: 2.7514\nTraining gain without cecsum_m_sd1_1km_eu_ll: 2.7578\nTraining gain without clyppt_m_sd1_1km_eu_ll: 2.7225\nTraining gain without crfvol_m_sd1_1km_eu_ll: 2.7189\nTraining gain without dist2water1km: 2.7497\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.7517\nTraining gain without pet_he_yr: 2.7448\nTraining gain without sltppt_m_sd1_1km_eu_ll: 2.7389\nTraining gain without sndppt_m_sd1_1km_eu_ll: 2.7425\nTraining gain without solar_1km: 2.7436\nTraining gain with only bio_12_etrs2_ras: 0.9786\nTraining gain with only bio_15_etrs2_ras: 0.9218\nTraining gain with only bio_18_etrs2_ras: 0.3283\nTraining gain with only bio_4_etrs2_ras: 2.054\nTraining gain with only bio_8_etrs2_ras: 1.3045\nTraining gain with only bld_m_sd1_1km_eu_ll: 0.4504\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.1028\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.2114\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.1734\nTraining gain with only dist2water1km: 0.1066\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 0.2888\nTraining gain with only pet_he_yr: 0.7941\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.649\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.4522\nTraining gain with only solar_1km: 0.5151\nTest gain without bio_12_etrs2_ras: 2.8909\nTest gain without bio_15_etrs2_ras: 2.9212\nTest gain without bio_18_etrs2_ras: 2.895\nTest gain without bio_4_etrs2_ras: 2.6118\nTest gain without bio_8_etrs2_ras: 2.9407\nTest gain without bld_m_sd1_1km_eu_ll: 2.9381\nTest gain without cecsum_m_sd1_1km_eu_ll: 2.9394\nTest gain without clyppt_m_sd1_1km_eu_ll: 2.8703\nTest gain without crfvol_m_sd1_1km_eu_ll: 2.8898\nTest gain without dist2water1km: 2.9381\nTest gain without orcdrc_m_sd1_1km_eu_ll: 2.891\nTest gain without pet_he_yr: 2.9474\nTest gain without sltppt_m_sd1_1km_eu_ll: 2.8952\nTest gain without sndppt_m_sd1_1km_eu_ll: 2.9728\nTest gain without solar_1km: 2.8867\nTest gain with only bio_12_etrs2_ras: 1.0421\nTest gain with only bio_15_etrs2_ras: 1.3433\nTest gain with only bio_18_etrs2_ras: 0.4686\nTest gain with only bio_4_etrs2_ras: 2.105\nTest gain with only bio_8_etrs2_ras: 1.2175\nTest gain with only bld_m_sd1_1km_eu_ll: 0.6922\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.2415\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.1875\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.2069\nTest gain with only dist2water1km: 0.1381\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 0.3656\nTest gain with only pet_he_yr: 0.9902\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.6021\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.209\nTest gain with only solar_1km: 0.6165\nAUC without bio_12_etrs2_ras: 0.9815\nAUC without bio_15_etrs2_ras: 0.9818\nAUC without bio_18_etrs2_ras: 0.9816\nAUC without bio_4_etrs2_ras: 0.9758\nAUC without bio_8_etrs2_ras: 0.9823\nAUC without bld_m_sd1_1km_eu_ll: 0.9819\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9824\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9813\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9813\nAUC without dist2water1km: 0.9821\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9815\nAUC without pet_he_yr: 0.9828\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9811\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9829\nAUC without solar_1km: 0.9816\nAUC with only bio_12_etrs2_ras: 0.8792\nAUC with only bio_15_etrs2_ras: 0.9137\nAUC with only bio_18_etrs2_ras: 0.746\nAUC with only bio_4_etrs2_ras: 0.9536\nAUC with only bio_8_etrs2_ras: 0.8891\nAUC with only bld_m_sd1_1km_eu_ll: 0.7961\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.7165\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.6746\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.6783\nAUC with only dist2water1km: 0.6257\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7066\nAUC with only pet_he_yr: 0.8761\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.7972\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.7012\nAUC with only solar_1km: 0.7798\nEntropy: 5.8029\nPrevalence (average of logistic output over background sites): 0.0312\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0073\nFixed cumulative value 1 area: 0.1582\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.46E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0922\nFixed cumulative value 5 area: 0.0845\nFixed cumulative value 5 training omission: 0.0183\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.33E-13\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1683\nFixed cumulative value 10 area: 0.0621\nFixed cumulative value 10 training omission: 0.0275\nFixed cumulative value 10 test omission: 0.0833\nFixed cumulative value 10 binomial probability: 5.95E-13\nMinimum training presence cumulative threshold: 2.0814\nMinimum training presence logistic threshold: 0.0284\nMinimum training presence area: 0.1145\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.06E-12\n10 percentile training presence cumulative threshold: 22.8167\n10 percentile training presence logistic threshold: 0.3253\n10 percentile training presence area: 0.0357\n10 percentile training presence training omission: 0.0917\n10 percentile training presence test omission: 0.0833\n10 percentile training presence binomial probability: 1.38E-15\nEqual training sensitivity and specificity cumulative threshold: 16.7177\nEqual training sensitivity and specificity logistic threshold: 0.2551\nEqual training sensitivity and specificity area: 0.0457\nEqual training sensitivity and specificity training omission: 0.0459\nEqual training sensitivity and specificity test omission: 0.0833\nEqual training sensitivity and specificity binomial probability: 2.09E-14\nMaximum training sensitivity plus specificity cumulative threshold: 13.9822\nMaximum training sensitivity plus specificity logistic threshold: 0.2194\nMaximum training sensitivity plus specificity area: 0.0514\nMaximum training sensitivity plus specificity training omission: 0.0275\nMaximum training sensitivity plus specificity test omission: 0.0833\nMaximum training sensitivity plus specificity binomial probability: 7.59E-14\nEqual test sensitivity and specificity cumulative threshold: 8.3494\nEqual test sensitivity and specificity logistic threshold: 0.1498\nEqual test sensitivity and specificity area: 0.0678\nEqual test sensitivity and specificity training omission: 0.0183\nEqual test sensitivity and specificity test omission: 0.0833\nEqual test sensitivity and specificity binomial probability: 1.56E-12\nMaximum test sensitivity plus specificity cumulative threshold: 8.2962\nMaximum test sensitivity plus specificity logistic threshold: 0.1498\nMaximum test sensitivity plus specificity area: 0.0678\nMaximum test sensitivity plus specificity training omission: 0.0183\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 9.38E-15\nBalance training omission, predicted area and threshold value cumulative threshold: 1.9629\nBalance training omission, predicted area and threshold value logistic threshold: 0.0255\nBalance training omission, predicted area and threshold value area: 0.1172\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 6.73E-12\nEquate entropy of thresholded and original distributions cumulative threshold: 9.0677\nEquate entropy of thresholded and original distributions logistic threshold: 0.1566\nEquate entropy of thresholded and original distributions area: 0.0652\nEquate entropy of thresholded and original distributions training omission: 0.0275\nEquate entropy of thresholded and original distributions test omission: 0.0833\nEquate entropy of thresholded and original distributions binomial probability: 1.02E-12", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "bb3c6b8c-0b04-45e3-8951-30bf0baa79cb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-3_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5.3, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1023, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb3c6b8c-0b04-45e3-8951-30bf0baa79cb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f5-3_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 14\nRegularized training gain: 1.9868\nUnregularized training gain: 2.5895\nIterations: 280\nTraining AUC: 0.9786\n#Test samples: 1\nTest gain: 1.8976\nTest AUC: 0.9577\nAUC Standard Deviation: -1\n#Background points: 5014\nbio_12_etrs2_ras contribution: 0.7049\nbio_15_etrs2_ras contribution: 13.3498\nbio_18_etrs2_ras contribution: 5.0467\nbio_4_etrs2_ras contribution: 27.2165\nbio_8_etrs2_ras contribution: 0\nbld_m_sd1_1km_eu_ll contribution: 0\ncecsum_m_sd1_1km_eu_ll contribution: 0.3314\nclyppt_m_sd1_1km_eu_ll contribution: 2.2254\ncrfvol_m_sd1_1km_eu_ll contribution: 10.1288\ndist2water1km contribution: 0\norcdrc_m_sd1_1km_eu_ll contribution: 0\npet_he_yr contribution: 6.334\nphihox_m_sd1_1km_eu_ll contribution: 11.8113\nsltppt_m_sd1_1km_eu_ll contribution: 8.4849\nsndppt_m_sd1_1km_eu_ll contribution: 11.1609\nsolar_1km contribution: 3.2053\nbio_12_etrs2_ras permutation importance: 1.046\nbio_15_etrs2_ras permutation importance: 29.1972\nbio_18_etrs2_ras permutation importance: 8.6671\nbio_4_etrs2_ras permutation importance: 4.9213\nbio_8_etrs2_ras permutation importance: 0\nbld_m_sd1_1km_eu_ll permutation importance: 0\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.4246\nclyppt_m_sd1_1km_eu_ll permutation importance: 0\ncrfvol_m_sd1_1km_eu_ll permutation importance: 4.0363\ndist2water1km permutation importance: 0\norcdrc_m_sd1_1km_eu_ll permutation importance: 0\npet_he_yr permutation importance: 10.8126\nphihox_m_sd1_1km_eu_ll permutation importance: 0\nsltppt_m_sd1_1km_eu_ll permutation importance: 11.2417\nsndppt_m_sd1_1km_eu_ll permutation importance: 28.777\nsolar_1km permutation importance: 0.8761\nEntropy: 6.5331\nPrevalence (average of logistic output over background sites): 0.0659\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0135\nFixed cumulative value 1 area: 0.3408\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 3.41E-01\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0734\nFixed cumulative value 5 area: 0.1911\nFixed cumulative value 5 training omission: 0\nFixed cumulative value 5 test omission: 0\nFixed cumulative value 5 binomial probability: 1.91E-01\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1523\nFixed cumulative value 10 area: 0.1344\nFixed cumulative value 10 training omission: 0\nFixed cumulative value 10 test omission: 0\nFixed cumulative value 10 binomial probability: 1.34E-01\nMinimum training presence cumulative threshold: 34.1041\nMinimum training presence logistic threshold: 0.4307\nMinimum training presence area: 0.0503\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.03E-02\n10 percentile training presence cumulative threshold: 41.8924\n10 percentile training presence logistic threshold: 0.5098\n10 percentile training presence area: 0.0383\n10 percentile training presence training omission: 0.0714\n10 percentile training presence test omission: 1\n10 percentile training presence binomial probability: 1.00E+00\nEqual training sensitivity and specificity cumulative threshold: 34.2142\nEqual training sensitivity and specificity logistic threshold: 0.4307\nEqual training sensitivity and specificity area: 0.0503\nEqual training sensitivity and specificity training omission: 0.0714\nEqual training sensitivity and specificity test omission: 0\nEqual training sensitivity and specificity binomial probability: 5.03E-02\nMaximum training sensitivity plus specificity cumulative threshold: 34.1041\nMaximum training sensitivity plus specificity logistic threshold: 0.4307\nMaximum training sensitivity plus specificity area: 0.0503\nMaximum training sensitivity plus specificity training omission: 0\nMaximum training sensitivity plus specificity test omission: 0\nMaximum training sensitivity plus specificity binomial probability: 5.03E-02\nEqual test sensitivity and specificity cumulative threshold: 39.0248\nEqual test sensitivity and specificity logistic threshold: 0.4777\nEqual test sensitivity and specificity area: 0.0423\nEqual test sensitivity and specificity training omission: 0.0714\nEqual test sensitivity and specificity test omission: 0\nEqual test sensitivity and specificity binomial probability: 4.23E-02\nMaximum test sensitivity plus specificity cumulative threshold: 39.0248\nMaximum test sensitivity plus specificity logistic threshold: 0.4777\nMaximum test sensitivity plus specificity area: 0.0423\nMaximum test sensitivity plus specificity training omission: 0.0714\nMaximum test sensitivity plus specificity test omission: 0\nMaximum test sensitivity plus specificity binomial probability: 4.23E-02\nBalance training omission, predicted area and threshold value cumulative threshold: 3.562\nBalance training omission, predicted area and threshold value logistic threshold: 0.0519\nBalance training omission, predicted area and threshold value area: 0.221\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 2.21E-01\nEquate entropy of thresholded and original distributions cumulative threshold: 9.6718\nEquate entropy of thresholded and original distributions logistic threshold: 0.1474\nEquate entropy of thresholded and original distributions area: 0.137\nEquate entropy of thresholded and original distributions training omission: 0\nEquate entropy of thresholded and original distributions test omission: 0\nEquate entropy of thresholded and original distributions binomial probability: 1.37E-01", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Bad model, because of prediction in Ireland, England, and Hungary. The reason for for this is that this habitat type has a poor relation to climatic factors.\n \n Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "4231cf40-e1f2-44d0-a2cf-2a0a8b4d01b2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1c_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.1c distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1024, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4231cf40-e1f2-44d0-a2cf-2a0a8b4d01b2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-1c_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "47cf4e06-b07a-4cfe-a4ff-93b2161bfa0c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type B1-5b distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1025, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47cf4e06-b07a-4cfe-a4ff-93b2161bfa0c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b1-5b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "e880ed9f-ca7d-4e60-b381-50024253b2ce", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1e_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1e, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1026, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e880ed9f-ca7d-4e60-b381-50024253b2ce", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1e_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1665\nRegularized training gain: 0.7057\nUnregularized training gain: 0.7759\nIterations: 500\nTraining AUC: 0.8197\n#Test samples: 185\nTest gain: 0.7384\nTest AUC: 0.8155\nAUC Standard Deviation: 0.0108\n#Background points: 6663\nbio_12_etrs2_ras contribution: 3.2244\nbio_15_etrs2_ras contribution: 0.8685\nbio_18_etrs2_ras contribution: 11.9079\nbio_4_etrs2_ras contribution: 56.5248\nbio_8_etrs2_ras contribution: 0.9434\nbld_m_sd1_1km_eu_ll contribution: 5.5983\ncecsum_m_sd1_1km_eu_ll contribution: 4.2608\nclyppt_m_sd1_1km_eu_ll contribution: 0.5767\ncrfvol_m_sd1_1km_eu_ll contribution: 0.112\ndist2water1km contribution: 0.7498\norcdrc_m_sd1_1km_eu_ll contribution: 0.1846\npet_he_yr contribution: 11.7472\nphihox_m_sd1_1km_eu_ll contribution: 1.965\nsltppt_m_sd1_1km_eu_ll contribution: 0.2574\nsndppt_m_sd1_1km_eu_ll contribution: 0.0726\nsolar_1km contribution: 1.0066\nbio_12_etrs2_ras permutation importance: 4.3068\nbio_15_etrs2_ras permutation importance: 3.5265\nbio_18_etrs2_ras permutation importance: 7.3009\nbio_4_etrs2_ras permutation importance: 54.8839\nbio_8_etrs2_ras permutation importance: 3.4455\nbld_m_sd1_1km_eu_ll permutation importance: 3.2858\ncecsum_m_sd1_1km_eu_ll permutation importance: 1.8059\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.6408\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0.4793\ndist2water1km permutation importance: 0.6822\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.5076\npet_he_yr permutation importance: 11.8806\nphihox_m_sd1_1km_eu_ll permutation importance: 4.5996\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.656\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.1469\nsolar_1km permutation importance: 0.8517\nEntropy: 8.1011\nPrevalence (average of logistic output over background sites): 0.2443\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.097\nFixed cumulative value 1 area: 0.5586\nFixed cumulative value 1 training omission: 0.003\nFixed cumulative value 1 test omission: 0.0162\nFixed cumulative value 1 binomial probability: 1.20E-31\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2449\nFixed cumulative value 5 area: 0.4668\nFixed cumulative value 5 training omission: 0.0198\nFixed cumulative value 5 test omission: 0.0378\nFixed cumulative value 5 binomial probability: 7.17E-42\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3307\nFixed cumulative value 10 area: 0.4057\nFixed cumulative value 10 training omission: 0.0637\nFixed cumulative value 10 test omission: 0.0649\nFixed cumulative value 10 binomial probability: 5.30E-49\nMinimum training presence cumulative threshold: 0.1629\nMinimum training presence logistic threshold: 0.0102\nMinimum training presence area: 0.6689\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.40E-22\n10 percentile training presence cumulative threshold: 13.9992\n10 percentile training presence logistic threshold: 0.3789\n10 percentile training presence area: 0.3698\n10 percentile training presence training omission: 0.0997\n10 percentile training presence test omission: 0.1027\n10 percentile training presence binomial probability: 2.90E-50\nEqual training sensitivity and specificity cumulative threshold: 30.0774\nEqual training sensitivity and specificity logistic threshold: 0.4703\nEqual training sensitivity and specificity area: 0.2649\nEqual training sensitivity and specificity training omission: 0.2649\nEqual training sensitivity and specificity test omission: 0.2703\nEqual training sensitivity and specificity binomial probability: 7.36E-47\nMaximum training sensitivity plus specificity cumulative threshold: 13.1789\nMaximum training sensitivity plus specificity logistic threshold: 0.3716\nMaximum training sensitivity plus specificity area: 0.3766\nMaximum training sensitivity plus specificity training omission: 0.0907\nMaximum training sensitivity plus specificity test omission: 0.0919\nMaximum training sensitivity plus specificity binomial probability: 1.19E-50\nEqual test sensitivity and specificity cumulative threshold: 29.3532\nEqual test sensitivity and specificity logistic threshold: 0.468\nEqual test sensitivity and specificity area: 0.2689\nEqual test sensitivity and specificity training omission: 0.2589\nEqual test sensitivity and specificity test omission: 0.2703\nEqual test sensitivity and specificity binomial probability: 1.17E-45\nMaximum test sensitivity plus specificity cumulative threshold: 13.4574\nMaximum test sensitivity plus specificity logistic threshold: 0.3745\nMaximum test sensitivity plus specificity area: 0.3742\nMaximum test sensitivity plus specificity training omission: 0.0949\nMaximum test sensitivity plus specificity test omission: 0.0919\nMaximum test sensitivity plus specificity binomial probability: 3.24E-51\nBalance training omission, predicted area and threshold value cumulative threshold: 1.1194\nBalance training omission, predicted area and threshold value logistic threshold: 0.1061\nBalance training omission, predicted area and threshold value area: 0.5534\nBalance training omission, predicted area and threshold value training omission: 0.003\nBalance training omission, predicted area and threshold value test omission: 0.0162\nBalance training omission, predicted area and threshold value binomial probability: 2.59E-32\nEquate entropy of thresholded and original distributions cumulative threshold: 3.366\nEquate entropy of thresholded and original distributions logistic threshold: 0.2025\nEquate entropy of thresholded and original distributions area: 0.495\nEquate entropy of thresholded and original distributions training omission: 0.012\nEquate entropy of thresholded and original distributions test omission: 0.0216\nEquate entropy of thresholded and original distributions binomial probability: 8.43E-40", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Poor model, too much affected by the distribution of input data with a high concentration in NL and CZ.\n \n Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "48c69394-8f77-4c50-8fec-0b5be1b7cbda", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9b_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.9b distribution based on vegetation plot data - version 1, Jan. 2015", "restApi": null, "label": 1027, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48c69394-8f77-4c50-8fec-0b5be1b7cbda", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-g3-9b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "d816101f-bcc8-4bf1-8a46-6a1132db6bd9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-2_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F9-2 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1028, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d816101f-bcc8-4bf1-8a46-6a1132db6bd9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f9-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "4ca03c76-f9be-4886-9c96-38b309f6a11a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G3.1b, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 1029, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4ca03c76-f9be-4886-9c96-38b309f6a11a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g3-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1627\nRegularized training gain: 1.2946\nUnregularized training gain: 1.3737\nIterations: 500\nTraining AUC: 0.9028\n#Test samples: 180\nTest gain: 1.3927\nTest AUC: 0.9051\nAUC Standard Deviation: 0.0058\n#Background points: 11626\nbio_12_etrs2_ras contribution: 14.8453\nbio_15_etrs2_ras contribution: 1.027\nbio_18_etrs2_ras contribution: 31.3979\nbio_4_etrs2_ras contribution: 34.5811\nbio_8_etrs2_ras contribution: 0.3405\ndist2water1km contribution: 0.1393\npet_he_yr contribution: 15.594\nsoil_ph contribution: 0.0413\nsolar_1km contribution: 2.0337\nbio_12_etrs2_ras permutation importance: 15.8003\nbio_15_etrs2_ras permutation importance: 2.7581\nbio_18_etrs2_ras permutation importance: 4.1195\nbio_4_etrs2_ras permutation importance: 55.6989\nbio_8_etrs2_ras permutation importance: 0.8212\ndist2water1km permutation importance: 0.5725\npet_he_yr permutation importance: 18.211\nsoil_ph permutation importance: 0.1923\nsolar_1km permutation importance: 1.8263\nEntropy: 8.0661\nPrevalence (average of logistic output over background sites): 0.1329\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0387\nFixed cumulative value 1 area: 0.3896\nFixed cumulative value 1 training omission: 0.0025\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.40E-63\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1437\nFixed cumulative value 5 area: 0.2728\nFixed cumulative value 5 training omission: 0.016\nFixed cumulative value 5 test omission: 0.0333\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2555\nFixed cumulative value 10 area: 0.2165\nFixed cumulative value 10 training omission: 0.0645\nFixed cumulative value 10 test omission: 0.0722\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0092\nMinimum training presence logistic threshold: 0.0005\nMinimum training presence area: 0.8119\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.31E-11\n10 percentile training presence cumulative threshold: 13.6057\n10 percentile training presence logistic threshold: 0.3195\n10 percentile training presence area: 0.1924\n10 percentile training presence training omission: 0.0996\n10 percentile training presence test omission: 0.0944\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 19.376\nEqual training sensitivity and specificity logistic threshold: 0.4008\nEqual training sensitivity and specificity area: 0.1645\nEqual training sensitivity and specificity training omission: 0.1647\nEqual training sensitivity and specificity test omission: 0.1278\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.312\nMaximum training sensitivity plus specificity logistic threshold: 0.2172\nMaximum training sensitivity plus specificity area: 0.2315\nMaximum training sensitivity plus specificity training omission: 0.0412\nMaximum training sensitivity plus specificity test omission: 0.0667\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 21.6878\nEqual test sensitivity and specificity logistic threshold: 0.425\nEqual test sensitivity and specificity area: 0.1555\nEqual test sensitivity and specificity training omission: 0.1961\nEqual test sensitivity and specificity test omission: 0.1556\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 17.8392\nMaximum test sensitivity plus specificity logistic threshold: 0.381\nMaximum test sensitivity plus specificity area: 0.171\nMaximum test sensitivity plus specificity training omission: 0.1457\nMaximum test sensitivity plus specificity test omission: 0.1\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.8658\nBalance training omission, predicted area and threshold value logistic threshold: 0.0695\nBalance training omission, predicted area and threshold value area: 0.3469\nBalance training omission, predicted area and threshold value training omission: 0.0043\nBalance training omission, predicted area and threshold value test omission: 0.0056\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 4.9421\nEquate entropy of thresholded and original distributions logistic threshold: 0.1423\nEquate entropy of thresholded and original distributions area: 0.2739\nEquate entropy of thresholded and original distributions training omission: 0.016\nEquate entropy of thresholded and original distributions test omission: 0.0333\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "186b79ed-f69d-441f-9ace-240219fedfd1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-8a_heath_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F6.8a, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1030, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/186b79ed-f69d-441f-9ace-240219fedfd1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f6-8a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 62\nRegularized training gain: 2.5337\nUnregularized training gain: 2.895\nIterations: 500\nTraining AUC: 0.9759\n#Test samples: 6\nTest gain: 1.9924\nTest AUC: 0.911\nAUC Standard Deviation: 0.0701\n#Background points: 5043\nbio_12_etrs2_ras contribution: 6.3801\nbio_15_etrs2_ras contribution: 3.2556\nbio_18_etrs2_ras contribution: 16.0861\nbio_4_etrs2_ras contribution: 3.4085\nbio_8_etrs2_ras contribution: 2.8701\nbld_m_sd1_1km_eu_ll contribution: 3.8742\ncecsum_m_sd1_1km_eu_ll contribution: 0.3583\nclyppt_m_sd1_1km_eu_ll contribution: 9.1065\ncrfvol_m_sd1_1km_eu_ll contribution: 0.0369\ndist2water1km contribution: 0.5444\norcdrc_m_sd1_1km_eu_ll contribution: 14.3859\npet_he_yr contribution: 39.1685\nsltppt_m_sd1_1km_eu_ll contribution: 0.3013\nsndppt_m_sd1_1km_eu_ll contribution: 0.2237\nsolar_1km contribution: 0\nbio_12_etrs2_ras permutation importance: 1.4553\nbio_15_etrs2_ras permutation importance: 4.6929\nbio_18_etrs2_ras permutation importance: 66.9819\nbio_4_etrs2_ras permutation importance: 1.021\nbio_8_etrs2_ras permutation importance: 4.512\nbld_m_sd1_1km_eu_ll permutation importance: 0.4252\ncecsum_m_sd1_1km_eu_ll permutation importance: 1.0774\nclyppt_m_sd1_1km_eu_ll permutation importance: 9.6844\ncrfvol_m_sd1_1km_eu_ll permutation importance: 0\ndist2water1km permutation importance: 0.5658\norcdrc_m_sd1_1km_eu_ll permutation importance: 1.4233\npet_he_yr permutation importance: 1.2228\nsltppt_m_sd1_1km_eu_ll permutation importance: 6.5177\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.4204\nsolar_1km permutation importance: 0\nTraining gain without bio_12_etrs2_ras: 2.5336\nTraining gain without bio_15_etrs2_ras: 2.4716\nTraining gain without bio_18_etrs2_ras: 2.4615\nTraining gain without bio_4_etrs2_ras: 2.5174\nTraining gain without bio_8_etrs2_ras: 2.4977\nTraining gain without bld_m_sd1_1km_eu_ll: 2.5259\nTraining gain without cecsum_m_sd1_1km_eu_ll: 2.5105\nTraining gain without clyppt_m_sd1_1km_eu_ll: 2.4806\nTraining gain without crfvol_m_sd1_1km_eu_ll: 2.5297\nTraining gain without dist2water1km: 2.5232\nTraining gain without orcdrc_m_sd1_1km_eu_ll: 2.507\nTraining gain without pet_he_yr: 2.531\nTraining gain without sltppt_m_sd1_1km_eu_ll: 2.5166\nTraining gain without sndppt_m_sd1_1km_eu_ll: 2.5157\nTraining gain without solar_1km: 2.538\nTraining gain with only bio_12_etrs2_ras: 1.1405\nTraining gain with only bio_15_etrs2_ras: 0.5535\nTraining gain with only bio_18_etrs2_ras: 1.5715\nTraining gain with only bio_4_etrs2_ras: 0.4312\nTraining gain with only bio_8_etrs2_ras: 0.2887\nTraining gain with only bld_m_sd1_1km_eu_ll: 1.6367\nTraining gain with only cecsum_m_sd1_1km_eu_ll: 0.267\nTraining gain with only clyppt_m_sd1_1km_eu_ll: 0.8249\nTraining gain with only crfvol_m_sd1_1km_eu_ll: 0.4017\nTraining gain with only dist2water1km: 0.0393\nTraining gain with only orcdrc_m_sd1_1km_eu_ll: 1.0898\nTraining gain with only pet_he_yr: 1.8273\nTraining gain with only sltppt_m_sd1_1km_eu_ll: 0.2561\nTraining gain with only sndppt_m_sd1_1km_eu_ll: 0.4928\nTraining gain with only solar_1km: 0.217\nTest gain without bio_12_etrs2_ras: 2.0403\nTest gain without bio_15_etrs2_ras: 2.1408\nTest gain without bio_18_etrs2_ras: 1.9313\nTest gain without bio_4_etrs2_ras: 1.8717\nTest gain without bio_8_etrs2_ras: 2.0972\nTest gain without bld_m_sd1_1km_eu_ll: 2.1033\nTest gain without cecsum_m_sd1_1km_eu_ll: 2.0316\nTest gain without clyppt_m_sd1_1km_eu_ll: 1.8957\nTest gain without crfvol_m_sd1_1km_eu_ll: 1.9728\nTest gain without dist2water1km: 1.9991\nTest gain without orcdrc_m_sd1_1km_eu_ll: 1.9508\nTest gain without pet_he_yr: 1.968\nTest gain without sltppt_m_sd1_1km_eu_ll: 1.9584\nTest gain without sndppt_m_sd1_1km_eu_ll: 1.9617\nTest gain without solar_1km: 2.0117\nTest gain with only bio_12_etrs2_ras: 1.0569\nTest gain with only bio_15_etrs2_ras: 0.3347\nTest gain with only bio_18_etrs2_ras: 1.4122\nTest gain with only bio_4_etrs2_ras: 0.4442\nTest gain with only bio_8_etrs2_ras: 0.4373\nTest gain with only bld_m_sd1_1km_eu_ll: 1.0035\nTest gain with only cecsum_m_sd1_1km_eu_ll: 0.4234\nTest gain with only clyppt_m_sd1_1km_eu_ll: 0.8272\nTest gain with only crfvol_m_sd1_1km_eu_ll: 0.0243\nTest gain with only dist2water1km: 0.0249\nTest gain with only orcdrc_m_sd1_1km_eu_ll: 1.2319\nTest gain with only pet_he_yr: 1.5559\nTest gain with only sltppt_m_sd1_1km_eu_ll: 0.2031\nTest gain with only sndppt_m_sd1_1km_eu_ll: 0.177\nTest gain with only solar_1km: 0.2118\nAUC without bio_12_etrs2_ras: 0.912\nAUC without bio_15_etrs2_ras: 0.9208\nAUC without bio_18_etrs2_ras: 0.9179\nAUC without bio_4_etrs2_ras: 0.9046\nAUC without bio_8_etrs2_ras: 0.9215\nAUC without bld_m_sd1_1km_eu_ll: 0.9142\nAUC without cecsum_m_sd1_1km_eu_ll: 0.9123\nAUC without clyppt_m_sd1_1km_eu_ll: 0.9131\nAUC without crfvol_m_sd1_1km_eu_ll: 0.9131\nAUC without dist2water1km: 0.9139\nAUC without orcdrc_m_sd1_1km_eu_ll: 0.9108\nAUC without pet_he_yr: 0.912\nAUC without sltppt_m_sd1_1km_eu_ll: 0.9093\nAUC without sndppt_m_sd1_1km_eu_ll: 0.9078\nAUC without solar_1km: 0.9121\nAUC with only bio_12_etrs2_ras: 0.8335\nAUC with only bio_15_etrs2_ras: 0.7373\nAUC with only bio_18_etrs2_ras: 0.8725\nAUC with only bio_4_etrs2_ras: 0.7556\nAUC with only bio_8_etrs2_ras: 0.7228\nAUC with only bld_m_sd1_1km_eu_ll: 0.8745\nAUC with only cecsum_m_sd1_1km_eu_ll: 0.7477\nAUC with only clyppt_m_sd1_1km_eu_ll: 0.8496\nAUC with only crfvol_m_sd1_1km_eu_ll: 0.6508\nAUC with only dist2water1km: 0.5773\nAUC with only orcdrc_m_sd1_1km_eu_ll: 0.7936\nAUC with only pet_he_yr: 0.9088\nAUC with only sltppt_m_sd1_1km_eu_ll: 0.6383\nAUC with only sndppt_m_sd1_1km_eu_ll: 0.6382\nAUC with only solar_1km: 0.6303\nEntropy: 6.0229\nPrevalence (average of logistic output over background sites): 0.0388\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0079\nFixed cumulative value 1 area: 0.3056\nFixed cumulative value 1 training omission: 0.0161\nFixed cumulative value 1 test omission: 0.1667\nFixed cumulative value 1 binomial probability: 1.19E-02\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0483\nFixed cumulative value 5 area: 0.1503\nFixed cumulative value 5 training omission: 0.0161\nFixed cumulative value 5 test omission: 0.1667\nFixed cumulative value 5 binomial probability: 4.03E-04\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1037\nFixed cumulative value 10 area: 0.0974\nFixed cumulative value 10 training omission: 0.0323\nFixed cumulative value 10 test omission: 0.1667\nFixed cumulative value 10 binomial probability: 4.82E-05\nMinimum training presence cumulative threshold: 0.2129\nMinimum training presence logistic threshold: 0.0017\nMinimum training presence area: 0.4727\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.12E-02\n10 percentile training presence cumulative threshold: 26.2915\n10 percentile training presence logistic threshold: 0.2985\n10 percentile training presence area: 0.0403\n10 percentile training presence training omission: 0.0968\n10 percentile training presence test omission: 0.1667\n10 percentile training presence binomial probability: 6.13E-07\nEqual training sensitivity and specificity cumulative threshold: 16.811\nEqual training sensitivity and specificity logistic threshold: 0.1974\nEqual training sensitivity and specificity area: 0.0644\nEqual training sensitivity and specificity training omission: 0.0645\nEqual training sensitivity and specificity test omission: 0.1667\nEqual training sensitivity and specificity binomial probability: 6.31E-06\nMaximum training sensitivity plus specificity cumulative threshold: 14.3848\nMaximum training sensitivity plus specificity logistic threshold: 0.1627\nMaximum training sensitivity plus specificity area: 0.0732\nMaximum training sensitivity plus specificity training omission: 0.0323\nMaximum training sensitivity plus specificity test omission: 0.1667\nMaximum training sensitivity plus specificity binomial probability: 1.18E-05\nEqual test sensitivity and specificity cumulative threshold: 4.1619\nEqual test sensitivity and specificity logistic threshold: 0.0362\nEqual test sensitivity and specificity area: 0.1666\nEqual test sensitivity and specificity training omission: 0.0161\nEqual test sensitivity and specificity test omission: 0.1667\nEqual test sensitivity and specificity binomial probability: 6.62E-04\nMaximum test sensitivity plus specificity cumulative threshold: 30.1379\nMaximum test sensitivity plus specificity logistic threshold: 0.3359\nMaximum test sensitivity plus specificity area: 0.0335\nMaximum test sensitivity plus specificity training omission: 0.1613\nMaximum test sensitivity plus specificity test omission: 0.1667\nMaximum test sensitivity plus specificity binomial probability: 2.47E-07\nBalance training omission, predicted area and threshold value cumulative threshold: 3.7219\nBalance training omission, predicted area and threshold value logistic threshold: 0.0316\nBalance training omission, predicted area and threshold value area: 0.1769\nBalance training omission, predicted area and threshold value training omission: 0.0161\nBalance training omission, predicted area and threshold value test omission: 0.1667\nBalance training omission, predicted area and threshold value binomial probability: 8.86E-04\nEquate entropy of thresholded and original distributions cumulative threshold: 12.6664\nEquate entropy of thresholded and original distributions logistic threshold: 0.1383\nEquate entropy of thresholded and original distributions area: 0.0813\nEquate entropy of thresholded and original distributions training omission: 0.0323\nEquate entropy of thresholded and original distributions test omission: 0.1667\nEquate entropy of thresholded and original distributions binomial probability: 1.99E-05", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "28b7c432-36be-444b-9b76-bb7839f6202a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-2_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F5-2 distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1031, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b7c432-36be-444b-9b76-bb7839f6202a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f5-2_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "91ea19b6-5ece-41b5-9630-9c44897a4017", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F2.2b, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1032, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91ea19b6-5ece-41b5-9630-9c44897a4017", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f2-2b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 187\nRegularized training gain: 2.4348\nUnregularized training gain: 2.6387\nIterations: 500\nTraining AUC: 0.9745\n#Test samples: 20\nTest gain: 1.6217\nTest AUC: 0.8935\nAUC Standard Deviation: 0.0524\n#Background points: 5187\nbio_12_etrs2_ras contribution: 12.8929\nbio_15_etrs2_ras contribution: 0.3548\nbio_18_etrs2_ras contribution: 2.9895\nbio_4_etrs2_ras contribution: 15.818\nbio_8_etrs2_ras contribution: 0.9385\nbld_m_sd1_1km_eu_ll contribution: 7.0208\ncecsum_m_sd1_1km_eu_ll contribution: 2.2118\nclyppt_m_sd1_1km_eu_ll contribution: 0.5595\ncrfvol_m_sd1_1km_eu_ll contribution: 19.0389\ndist2water1km contribution: 0.004\norcdrc_m_sd1_1km_eu_ll contribution: 1.3245\npet_he_yr contribution: 5.0007\nphihox_m_sd1_1km_eu_ll contribution: 1.9823\nsltppt_m_sd1_1km_eu_ll contribution: 0.0419\nsndppt_m_sd1_1km_eu_ll contribution: 1.363\nsolar_1km contribution: 28.4589\nbio_12_etrs2_ras permutation importance: 4.0254\nbio_15_etrs2_ras permutation importance: 0.8479\nbio_18_etrs2_ras permutation importance: 5.6659\nbio_4_etrs2_ras permutation importance: 7.0556\nbio_8_etrs2_ras permutation importance: 0.3611\nbld_m_sd1_1km_eu_ll permutation importance: 0.2946\ncecsum_m_sd1_1km_eu_ll permutation importance: 5.477\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.0235\ncrfvol_m_sd1_1km_eu_ll permutation importance: 47.0299\ndist2water1km permutation importance: 0.1564\norcdrc_m_sd1_1km_eu_ll permutation importance: 3.6347\npet_he_yr permutation importance: 14.5072\nphihox_m_sd1_1km_eu_ll permutation importance: 4.1548\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.8662\nsndppt_m_sd1_1km_eu_ll permutation importance: 3.1646\nsolar_1km permutation importance: 1.735\nEntropy: 6.1259\nPrevalence (average of logistic output over background sites): 0.0415\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0065\nFixed cumulative value 1 area: 0.2568\nFixed cumulative value 1 training omission: 0\nFixed cumulative value 1 test omission: 0.1\nFixed cumulative value 1 binomial probability: 2.57E-09\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0666\nFixed cumulative value 5 area: 0.1163\nFixed cumulative value 5 training omission: 0.0267\nFixed cumulative value 5 test omission: 0.15\nFixed cumulative value 5 binomial probability: 1.04E-13\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1538\nFixed cumulative value 10 area: 0.0787\nFixed cumulative value 10 training omission: 0.0428\nFixed cumulative value 10 test omission: 0.15\nFixed cumulative value 10 binomial probability: 1.53E-16\nMinimum training presence cumulative threshold: 2.44\nMinimum training presence logistic threshold: 0.0276\nMinimum training presence area: 0.1652\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.1\nMinimum training presence binomial probability: 1.14E-12\n10 percentile training presence cumulative threshold: 18.0174\n10 percentile training presence logistic threshold: 0.2683\n10 percentile training presence area: 0.0522\n10 percentile training presence training omission: 0.0963\n10 percentile training presence test omission: 0.2\n10 percentile training presence binomial probability: 1.22E-17\nEqual training sensitivity and specificity cumulative threshold: 13.7205\nEqual training sensitivity and specificity logistic threshold: 0.2123\nEqual training sensitivity and specificity area: 0.0642\nEqual training sensitivity and specificity training omission: 0.0642\nEqual training sensitivity and specificity test omission: 0.15\nEqual training sensitivity and specificity binomial probability: 5.05E-18\nMaximum training sensitivity plus specificity cumulative threshold: 9.4437\nMaximum training sensitivity plus specificity logistic threshold: 0.1466\nMaximum training sensitivity plus specificity area: 0.0814\nMaximum training sensitivity plus specificity training omission: 0.0321\nMaximum training sensitivity plus specificity test omission: 0.15\nMaximum training sensitivity plus specificity binomial probability: 2.69E-16\nEqual test sensitivity and specificity cumulative threshold: 3.0091\nEqual test sensitivity and specificity logistic threshold: 0.0373\nEqual test sensitivity and specificity area: 0.15\nEqual test sensitivity and specificity training omission: 0.0053\nEqual test sensitivity and specificity test omission: 0.15\nEqual test sensitivity and specificity binomial probability: 7.10E-12\nMaximum test sensitivity plus specificity cumulative threshold: 17.5345\nMaximum test sensitivity plus specificity logistic threshold: 0.2592\nMaximum test sensitivity plus specificity area: 0.0534\nMaximum test sensitivity plus specificity training omission: 0.0963\nMaximum test sensitivity plus specificity test omission: 0.15\nMaximum test sensitivity plus specificity binomial probability: 2.28E-19\nBalance training omission, predicted area and threshold value cumulative threshold: 2.44\nBalance training omission, predicted area and threshold value logistic threshold: 0.0276\nBalance training omission, predicted area and threshold value area: 0.1652\nBalance training omission, predicted area and threshold value training omission: 0\nBalance training omission, predicted area and threshold value test omission: 0.1\nBalance training omission, predicted area and threshold value binomial probability: 1.14E-12\nEquate entropy of thresholded and original distributions cumulative threshold: 8.2574\nEquate entropy of thresholded and original distributions logistic threshold: 0.1254\nEquate entropy of thresholded and original distributions area: 0.0881\nEquate entropy of thresholded and original distributions training omission: 0.0321\nEquate entropy of thresholded and original distributions test omission: 0.15\nEquate entropy of thresholded and original distributions binomial probability: 1.02E-15", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Prediction in eastern part of Europe (Causcasus, Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "7ea203b5-d801-47db-baf4-0984c0a633d5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4a_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F7-4a distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1033, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea203b5-d801-47db-baf4-0984c0a633d5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f7-4a_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "ec9ae900-930e-40ac-bb95-a1f4a6ba2b95", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1b_random_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3.1b, predicted habitat suitability - version 1, June 2016", "restApi": null, "label": 1034, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec9ae900-930e-40ac-bb95-a1f4a6ba2b95", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f3-1b_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 707\nRegularized training gain: 1.1447\nUnregularized training gain: 1.3054\nIterations: 500\nTraining AUC: 0.9025\n#Test samples: 78\nTest gain: 1.0534\nTest AUC: 0.8724\nAUC Standard Deviation: 0.0133\n#Background points: 5707\nbio_12_etrs2_ras contribution: 0.8323\nbio_15_etrs2_ras contribution: 2.4142\nbio_18_etrs2_ras contribution: 16.3224\nbio_4_etrs2_ras contribution: 45.0235\nbio_8_etrs2_ras contribution: 4.7928\nbld_m_sd1_1km_eu_ll contribution: 0.9704\ncecsum_m_sd1_1km_eu_ll contribution: 3.1905\nclyppt_m_sd1_1km_eu_ll contribution: 0.8803\ncrfvol_m_sd1_1km_eu_ll contribution: 0.4803\ndist2water1km contribution: 0.4007\norcdrc_m_sd1_1km_eu_ll contribution: 0.2176\npet_he_yr contribution: 22.8131\nphihox_m_sd1_1km_eu_ll contribution: 0.2595\nsltppt_m_sd1_1km_eu_ll contribution: 0.2441\nsndppt_m_sd1_1km_eu_ll contribution: 0.9949\nsolar_1km contribution: 0.1634\nbio_12_etrs2_ras permutation importance: 1.4328\nbio_15_etrs2_ras permutation importance: 2.0512\nbio_18_etrs2_ras permutation importance: 17.2995\nbio_4_etrs2_ras permutation importance: 52.9952\nbio_8_etrs2_ras permutation importance: 6.0052\nbld_m_sd1_1km_eu_ll permutation importance: 2.2594\ncecsum_m_sd1_1km_eu_ll permutation importance: 0.9127\nclyppt_m_sd1_1km_eu_ll permutation importance: 1.2822\ncrfvol_m_sd1_1km_eu_ll permutation importance: 1.3907\ndist2water1km permutation importance: 0.2129\norcdrc_m_sd1_1km_eu_ll permutation importance: 0.9402\npet_he_yr permutation importance: 10.3805\nphihox_m_sd1_1km_eu_ll permutation importance: 1.1669\nsltppt_m_sd1_1km_eu_ll permutation importance: 0.4887\nsndppt_m_sd1_1km_eu_ll permutation importance: 0.8649\nsolar_1km permutation importance: 0.3168\nEntropy: 7.5112\nPrevalence (average of logistic output over background sites): 0.1561\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0363\nFixed cumulative value 1 area: 0.4728\nFixed cumulative value 1 training omission: 0.0057\nFixed cumulative value 1 test omission: 0.0128\nFixed cumulative value 1 binomial probability: 4.51E-20\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1521\nFixed cumulative value 5 area: 0.3389\nFixed cumulative value 5 training omission: 0.0212\nFixed cumulative value 5 test omission: 0.0513\nFixed cumulative value 5 binomial probability: 2.67E-30\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2417\nFixed cumulative value 10 area: 0.2728\nFixed cumulative value 10 training omission: 0.0424\nFixed cumulative value 10 test omission: 0.1282\nFixed cumulative value 10 binomial probability: 7.83E-33\nMinimum training presence cumulative threshold: 0.4395\nMinimum training presence logistic threshold: 0.0132\nMinimum training presence area: 0.5513\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 8.04E-16\n10 percentile training presence cumulative threshold: 15.809\n10 percentile training presence logistic threshold: 0.3193\n10 percentile training presence area: 0.2245\n10 percentile training presence training omission: 0.099\n10 percentile training presence test omission: 0.1795\n10 percentile training presence binomial probability: 8.50E-37\nEqual training sensitivity and specificity cumulative threshold: 24.9782\nEqual training sensitivity and specificity logistic threshold: 0.4041\nEqual training sensitivity and specificity area: 0.1728\nEqual training sensitivity and specificity training omission: 0.1726\nEqual training sensitivity and specificity test omission: 0.2436\nEqual training sensitivity and specificity binomial probability: 1.25E-42\nMaximum training sensitivity plus specificity cumulative threshold: 12.3829\nMaximum training sensitivity plus specificity logistic threshold: 0.2728\nMaximum training sensitivity plus specificity area: 0.2506\nMaximum training sensitivity plus specificity training omission: 0.0566\nMaximum training sensitivity plus specificity test omission: 0.141\nMaximum training sensitivity plus specificity binomial probability: 1.31E-35\nEqual test sensitivity and specificity cumulative threshold: 18.8592\nEqual test sensitivity and specificity logistic threshold: 0.3501\nEqual test sensitivity and specificity area: 0.2052\nEqual test sensitivity and specificity training omission: 0.1259\nEqual test sensitivity and specificity test omission: 0.2051\nEqual test sensitivity and specificity binomial probability: 2.37E-38\nMaximum test sensitivity plus specificity cumulative threshold: 7.5121\nMaximum test sensitivity plus specificity logistic threshold: 0.2\nMaximum test sensitivity plus specificity area: 0.301\nMaximum test sensitivity plus specificity training omission: 0.0297\nMaximum test sensitivity plus specificity test omission: 0.0641\nMaximum test sensitivity plus specificity binomial probability: 1.17E-34\nBalance training omission, predicted area and threshold value cumulative threshold: 1.9854\nBalance training omission, predicted area and threshold value logistic threshold: 0.0722\nBalance training omission, predicted area and threshold value area: 0.4169\nBalance training omission, predicted area and threshold value training omission: 0.0071\nBalance training omission, predicted area and threshold value test omission: 0.0385\nBalance training omission, predicted area and threshold value binomial probability: 8.62E-23\nEquate entropy of thresholded and original distributions cumulative threshold: 6.1321\nEquate entropy of thresholded and original distributions logistic threshold: 0.1747\nEquate entropy of thresholded and original distributions area: 0.3203\nEquate entropy of thresholded and original distributions training omission: 0.0255\nEquate entropy of thresholded and original distributions test omission: 0.0641\nEquate entropy of thresholded and original distributions binomial probability: 1.12E-31", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.\n\t\t\tAlso note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries.\n\t\t\tGeographic restriction for plot observations: n/a\n\t\t\tRemarks: Poor model, too much affected by the distribution of input data with a high concentration in NL and CZ.\n \n Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "92839b66-179c-4eeb-89e8-f96c751368f8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-1_forest_bg_ed1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type G2.1, predicted distribution of habitat suitability - version 1, Jan. 2015", "restApi": null, "label": 1035, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92839b66-179c-4eeb-89e8-f96c751368f8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-g2-1_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1147\nRegularized training gain: 1.4645\nUnregularized training gain: 1.5375\nIterations: 500\nTraining AUC: 0.9184\n#Test samples: 127\nTest gain: 1.3833\nTest AUC: 0.9068\nAUC Standard Deviation: 0.0076\n#Background points: 10951\nbio_12_etrs2_ras contribution: 0.2254\nbio_15_etrs2_ras contribution: 7.9341\nbio_18_etrs2_ras contribution: 58.7016\nbio_4_etrs2_ras contribution: 7.5346\nbio_8_etrs2_ras contribution: 7.2427\ndist2water1km contribution: 0.1675\npet_he_yr contribution: 17.7312\nsoil_ph contribution: 0.4114\nsolar_1km contribution: 0.0516\nbio_12_etrs2_ras permutation importance: 0.6544\nbio_15_etrs2_ras permutation importance: 18.6682\nbio_18_etrs2_ras permutation importance: 40.5422\nbio_4_etrs2_ras permutation importance: 6.5935\nbio_8_etrs2_ras permutation importance: 14.2185\ndist2water1km permutation importance: 0.7874\npet_he_yr permutation importance: 17.1559\nsoil_ph permutation importance: 1.1483\nsolar_1km permutation importance: 0.2316\nTraining gain without bio_12_etrs2_ras: 1.4612\nTraining gain without bio_15_etrs2_ras: 1.4003\nTraining gain without bio_18_etrs2_ras: 1.4223\nTraining gain without bio_4_etrs2_ras: 1.4346\nTraining gain without bio_8_etrs2_ras: 1.4211\nTraining gain without dist2water1km: 1.4566\nTraining gain without pet_he_yr: 1.4023\nTraining gain without soil_ph: 1.4587\nTraining gain without solar_1km: 1.4645\nTraining gain with only bio_12_etrs2_ras: 0.1733\nTraining gain with only bio_15_etrs2_ras: 0.4351\nTraining gain with only bio_18_etrs2_ras: 1.1013\nTraining gain with only bio_4_etrs2_ras: 0.3755\nTraining gain with only bio_8_etrs2_ras: 0.6138\nTraining gain with only dist2water1km: 0.1145\nTraining gain with only pet_he_yr: 0.7947\nTraining gain with only soil_ph: 0.234\nTraining gain with only solar_1km: 0.0697\nTest gain without bio_12_etrs2_ras: 1.3821\nTest gain without bio_15_etrs2_ras: 1.3661\nTest gain without bio_18_etrs2_ras: 1.3499\nTest gain without bio_4_etrs2_ras: 1.3255\nTest gain without bio_8_etrs2_ras: 1.385\nTest gain without dist2water1km: 1.4099\nTest gain without pet_he_yr: 1.3167\nTest gain without soil_ph: 1.3679\nTest gain without solar_1km: 1.3877\nTest gain with only bio_12_etrs2_ras: 0.2158\nTest gain with only bio_15_etrs2_ras: 0.4275\nTest gain with only bio_18_etrs2_ras: 1.1492\nTest gain with only bio_4_etrs2_ras: 0.4443\nTest gain with only bio_8_etrs2_ras: 0.5644\nTest gain with only dist2water1km: 0.0488\nTest gain with only pet_he_yr: 0.8758\nTest gain with only soil_ph: 0.2647\nTest gain with only solar_1km: 0.0598\nAUC without bio_12_etrs2_ras: 0.9065\nAUC without bio_15_etrs2_ras: 0.9046\nAUC without bio_18_etrs2_ras: 0.9025\nAUC without bio_4_etrs2_ras: 0.9009\nAUC without bio_8_etrs2_ras: 0.906\nAUC without dist2water1km: 0.9102\nAUC without pet_he_yr: 0.9\nAUC without soil_ph: 0.9056\nAUC without solar_1km: 0.9073\nAUC with only bio_12_etrs2_ras: 0.6764\nAUC with only bio_15_etrs2_ras: 0.7232\nAUC with only bio_18_etrs2_ras: 0.8801\nAUC with only bio_4_etrs2_ras: 0.7518\nAUC with only bio_8_etrs2_ras: 0.7914\nAUC with only dist2water1km: 0.5488\nAUC with only pet_he_yr: 0.8469\nAUC with only soil_ph: 0.6782\nAUC with only solar_1km: 0.5839\nEntropy: 7.8424\nPrevalence (average of logistic output over background sites): 0.1122\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.015\nFixed cumulative value 1 area: 0.3882\nFixed cumulative value 1 training omission: 0.0026\nFixed cumulative value 1 test omission: 0.0079\nFixed cumulative value 1 binomial probability: 1.26E-44\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1598\nFixed cumulative value 5 area: 0.2246\nFixed cumulative value 5 training omission: 0.0262\nFixed cumulative value 5 test omission: 0.063\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2691\nFixed cumulative value 10 area: 0.1822\nFixed cumulative value 10 training omission: 0.0741\nFixed cumulative value 10 test omission: 0.1339\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0039\nMinimum training presence logistic threshold: 0.0002\nMinimum training presence area: 0.9007\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 9.16E-05\n10 percentile training presence cumulative threshold: 12.5977\n10 percentile training presence logistic threshold: 0.3089\n10 percentile training presence area: 0.1673\n10 percentile training presence training omission: 0.0994\n10 percentile training presence test omission: 0.1496\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 16.4336\nEqual training sensitivity and specificity logistic threshold: 0.3635\nEqual training sensitivity and specificity area: 0.1498\nEqual training sensitivity and specificity training omission: 0.15\nEqual training sensitivity and specificity test omission: 0.1654\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 6.6058\nMaximum training sensitivity plus specificity logistic threshold: 0.2036\nMaximum training sensitivity plus specificity area: 0.2078\nMaximum training sensitivity plus specificity training omission: 0.0349\nMaximum training sensitivity plus specificity test omission: 0.0866\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 14.636\nEqual test sensitivity and specificity logistic threshold: 0.3406\nEqual test sensitivity and specificity area: 0.1575\nEqual test sensitivity and specificity training omission: 0.1238\nEqual test sensitivity and specificity test omission: 0.1575\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 5.3119\nMaximum test sensitivity plus specificity logistic threshold: 0.1678\nMaximum test sensitivity plus specificity area: 0.2209\nMaximum test sensitivity plus specificity training omission: 0.0279\nMaximum test sensitivity plus specificity test omission: 0.063\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 2.6888\nBalance training omission, predicted area and threshold value logistic threshold: 0.0716\nBalance training omission, predicted area and threshold value area: 0.2674\nBalance training omission, predicted area and threshold value training omission: 0.007\nBalance training omission, predicted area and threshold value test omission: 0.0394\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 4.414\nEquate entropy of thresholded and original distributions logistic threshold: 0.1373\nEquate entropy of thresholded and original distributions area: 0.2325\nEquate entropy of thresholded and original distributions training omission: 0.0235\nEquate entropy of thresholded and original distributions test omission: 0.0551\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-04" }, { "sdiUuid": "e9151c34-da65-48b9-a2ca-b9b835480812", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9151c34-da65-48b9-a2ca-b9b835480812.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "noise|noise type|vibrations", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Potential quiet areas in Europe, based upon Quietness Suitability Index (QSI), Aug. 2016", "restApi": null, "label": 1036, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9151c34-da65-48b9-a2ca-b9b835480812", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_quietareas-qsi_p_2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Suitable distance layer from noise sources built following a fuzzy approach (*), calculating the 'membership' to the quietness range (0\u20131) by means of a linear relationship, considering the mean value obtained as no suitable (= 0) and maximum distance obtained as suitable (= 1). The distance values between not suitable (mean value) and suitable (maximum value) will be reassigned with a new value between 0 and 1 following a linear equation.\n\n (*) The production of threshold distance layers around noise sources has been made following a fuzzy approach rather than obtaining a buffer with sharp limits. Membership to a 0-1 range has been obtained according to a linear function.\n\nData sources:\n- END: major roads, major railways and major airports noise contour maps (2012)\n- END: location of major roads and major railways and major airports\n- Urban morphological zones (UMZ) from CLC 2006 \n- E-PRTR register: industries' location and attributes: Europe-wide register that provides easily accessible key environmental data from industrial facilities in European Union Member States and in Iceland, Liechtenstein, Norway, Serbia and Switzerland. It replaced and improved upon the previous European Pollutant Emission Register (EPER). Access 2014.\n- Corine Land Cover and Land Use data 2006 (CLC) (100 \u00d7 100 m grid) \n- Corine Land Cover 2000 for Greece\n- EuroRegionalMap v. 6.0: roads, railways and airports infrastructure. (Version 6.0, 18.12.2012)\n- The population of each UMZ in 2000 (year of reference) was added by using the last version (v. 5) of the population density grid constructed by the European Commission research centre (Gallego, 2010). Raster data on population density using Corine Land Cover 2000 inventory.\n\nFull methodology: Good practice guide on quiet areas.Technical report No 4/2014\nhttp://www.eea.europa.eu/publications/good-practice-guide-on-quiet-areas", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Within the European Union, the Environmental Noise Directive (END, 2002/49/EC) defines quiet areas outside cities as those areas delimited by national authorities that are undisturbed by noise from traffic, industry or recreational activities. The report \u2018Quiet areas in Europe: the environment unaffected by noise pollution,\u2019 provides a first mapping assessment of potential quiet areas in Europe\u2019s rural regions. Approximately 18% of Europe\u2019s area can be considered quiet, but 33% is potentially affected by noise pollution, the report finds. This dataset underpins the assessment and is based on the quietness suitability index (QSI), which provides the overview with the highest (QSI=1) and lowest (QSI=0) proportion of potential quiet areas in Europe.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA33", "publicationDate": "2019-06-19" }, { "sdiUuid": "1fed8a7e-5fa3-4f47-8e16-373d64dd9ec6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1fed8a7e-5fa3-4f47-8e16-373d64dd9ec6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 - 2012 changes (raster 100m) - version 18, Mar. 2016", "restApi": null, "label": 1037, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1fed8a7e-5fa3-4f47-8e16-373d64dd9ec6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clcc_2006-2012_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "bbf83ca0-6d2f-4a0b-b8a7-4dcdc285beab", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbf83ca0-6d2f-4a0b-b8a7-4dcdc285beab.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area|natural areas protection|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Nationally designated areas (CDDA) polygons for internal use - version 17, June 2019", "restApi": null, "label": 1038, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbf83ca0-6d2f-4a0b-b8a7-4dcdc285beab", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_cdda-poly_i_2018-2019_v17_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Geopackage", "sdiElon": null, "lineage": "Production process will be explained in an update of the document CDDA_v16_2018.pdf available in the previous version of the dataset. We are waiting for ETC/BD for this task but as we are able to publish much earlier than before because of the new reporting mechanism, the ETC/BD has not planned for the time to update the report right now. In the meantime, and for reference, the document CDDA_v16_2018.pdf corresponding to the earlier version is provided together with this dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information.\n\nThe inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services.\n\nThe CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA).\n\nThe CDDA data can be queried online in the European Nature Information System (EUNIS).\n\nGeographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom.\n\nTwo versions of the dataset are provided. The full dataset (\"CDDA_2019_v01_internal\") includes the entire geographical coverage including nationally designated areas in overseas entities. The \"CDDA_2019_v01_internal_EuropeEPSG3035\" version includes only continental Europe, i.e. excludes the overseas entities. Both versions are provided in GDB and GPKG formats.\n\nNOTE: EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Therefore, this data set is available only for internal use of the European Environment Agency. The public version dataset is available with the title \"Nationally designated areas (CDDA) polygons for public access - version 17, June 2019\", which is derived from this dataset.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-19" }, { "sdiUuid": "01875b2b-b0d6-40d2-934b-e4f3dae3cb8b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/01875b2b-b0d6-40d2-934b-e4f3dae3cb8b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.3, Apr. 2019", "restApi": null, "label": 1039, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01875b2b-b0d6-40d2-934b-e4f3dae3cb8b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2016_i_2016-2019_v01_r03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Geopackage|SHP", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016).\nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nRelevant concepts: \n\nRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \n\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\n\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \n\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \n\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\n\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \n\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \n\nLake: Body of standing inland surface water. \n\nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \n\nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \n\nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \n\nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \n\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Iceland|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Europe (50km), Nov. 2018", "restApi": null, "label": 1040, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_50_km_eea-ref-grid-europe_p_2018_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "50km", "contactOrganisation": "European Environment Agency", "distributionFormat": "Postgis|SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset is an INSPIRE compatible grid of 50 km covering the whole Europe.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-07-22" }, { "sdiUuid": "c3288c38-e33a-48f9-b1dc-1f79c3e3be3f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Sea regions", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3288c38-e33a-48f9-b1dc-1f79c3e3be3f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Marine Strategy Framework Directive|biodiversity|ecosystem|marine biodiversity|marine ecosystem|marine environment|policy instrument|protected marine zone", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Marine Protected Areas (MPA) assessment areas - version 1, Feb. 2017", "restApi": null, "label": 1041, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3288c38-e33a-48f9-b1dc-1f79c3e3be3f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_mpa-assessment-areas_p_2017_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "This dataset is based on the MSFD marine regions and sub-regions dataset. As indicated in the abstract, it has been defined as the marine waters surrounding the EU countries whose outer limit is defined by the 200 NM boundary from the coast (possibly coinciding with formally recognised EEZ boundaries) or the equidistance (in cases of opposite neighbouring EU countries), or by the presence of a boundary defined by an agreed treaty. Since no formal boundary of this map exists and since this limit coincides with the boundary of the maritime area (water column) submitted by EU Member States under MSFD Articles 8, 9 and 10 in the Eionet Central Data Repository (CDR) ), the decision was taken to use the MSFD Region/Subregion boundary shapefile assembled in 2013 by ETC/ICM (ETC/ICM, 2013), based on EU Member States reported data integrated with information from the Flanders Marine Institute (VLIZ) Maritime Boundaries (version 7) to delimit the MPA assessment areas", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The spatial extent of the MPA assessment areas was defined as the marine waters surrounding the EU countries whose outer limit is defined by the 200 NM boundary from the coast (possibly coinciding with formally recognised EEZ boundaries) or the equidistance (in cases of opposite neighbouring EU countries), or by the presence of a boundary defined by an agreed treaty. Given no formal boundary of this map exists and since this limit coincides with the boundary of the maritime area (water column) submitted by EU Member States under MSFD, this dataset was based on a MSFD Region/Subregion boundary shapefile assembled in 2013 by ETC/ICM integrated with the Maritime Boundaries (version 7) from the Flanders Marine Institute (VLIZ). \nThis dataset has been used to create the map that shows the percentage marine protected area (MPA) coverage in Europe's regional seas and also the distance to the Convention on Biological Diversity Aichi target 11.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Atlantic Ocean|Baltic Sea|Black Sea|EU28|Mediterranean Sea|North Sea|Northeast Atlantic Ocean (40W)", "publicationDate": "2019-06-24" }, { "sdiUuid": "75993663-c826-455b-bf8f-21b1254bec31", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/75993663-c826-455b-bf8f-21b1254bec31.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management", "sdiCentroidLon": null, "temporalCoverage": null, "title": "WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.3, Apr. 2019", "restApi": null, "label": 1042, "associatedResources": null, "sdiUseLimitation": "The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/75993663-c826-455b-bf8f-21b1254bec31", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_250_k_wise-wfd2010_i_2010-2019_v01_r03", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "Geopackage|SHP", "sdiElon": null, "lineage": "1) Data model\n\nThe data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf\n\nThe formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip\nThe shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip\n\nRefer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format.\n\nRefer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck.\n\n2) Data sources\n\nInformation on river basin districts and sub-units was submitted under the \"Water Framework Directive - River Basin Districts and Competent Authorities\" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates).\n\nInformation on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the \"Water Framework Directive - Characterisation of River Basin Districts\" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates).\n\nInformation on monitoring sites was reported under the \"Water Framework Directive - Monitoring Programmes\" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates).\n\nFor some countries or river basin districts, updates to the spatial data were submitted under \"Water Framework Directive - River Basin Management Plans - 2010 Reporting\" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates).\n\nThe data sources above will hereafter be referred to as WFD2010.\n\nFor the 2nd River Basin Management Plans, spatial data was reported under the \"Water Framework Directive - River Basin Management Plans - 2016 Spatial data\" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting.\n\nRefer to the Technical Report for the full list of the national CDR data sets integrated into the European data set.\n\n3) Data processing\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. \nIdentical objects have wiseEvolutionType in ('noChange','changeCode','change').\n\nFor WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'.\n\nRefer to the Technical Report which accompanies the data set for further information.\n\n4) Data quality\n\nTHIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION.\n\nThe reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. \n\nAll objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available.\n\nNote that:\n\n- The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies.\n\n- The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset.\n\n- The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17.\n\nTraceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. \n\nNo geometric or topological error correction was performed.\nBasic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed.\n\nThe compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified.\nThematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK').\nThematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$\nA valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2019, "abstract": "The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. \n\nThis data set is available only for internal use of the European Commission and the European Environment Agency. Please search for \"PUBLIC VERSION\" in the dataset title to access the publicly available version.\n\nThe information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations.\n\nThe dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting.\n\nIt was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). \nSee http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.\n\nThe data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016.\n\nRelevant concepts: \n\nRiver basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. \n\nRiver basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.\n\nSub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). \n\nSub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.\n\nSurface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. \n\nSurface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters.\n\nInland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. \n\nRiver: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. \n\nLake: Body of standing inland surface water. \n\nTransitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. \n\nCoastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. \n\nTerritorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. \n\nTerritorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.\n\nGroundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. \n\nGroundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.\n\nMonitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU28|Iceland|Norway", "publicationDate": "2019-06-04" }, { "sdiUuid": "aea65d71-ec1e-4951-bfbd-329a9b85ef6c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aea65d71-ec1e-4951-bfbd-329a9b85ef6c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (vector) - version 18, Sep. 2016", "restApi": null, "label": 1043, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aea65d71-ec1e-4951-bfbd-329a9b85ef6c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clc_2005-2007_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "156377d3-14ee-42f9-855e-71d8c710d441", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS heathland, scrub and tundra habitat type, predicted distribution of habitat suitability - version 1, May 2019", "restApi": null, "label": 1044, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). 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It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). 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Because the EBV's are restricted by the extent of the Remote Sensing data (EEA39 countries) the modelling result does also not go beyond this boudary.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "1f8814c7-eb8b-4674-9955-1ebf485cfc57", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f8814c7-eb8b-4674-9955-1ebf485cfc57.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "habitat|heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS heathland, scrub and tundra habitat types, distribution based on vegetation plot data - version 1, May 2019", "restApi": null, "label": 1050, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f8814c7-eb8b-4674-9955-1ebf485cfc57", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-s_p_1940-2017_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated). \nMore information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.", "crs": null, "rodUrl": null, "tbegin": 1940, "tend": 2017, "abstract": "The verified heathland, scrub and tundra habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "99421829-bc64-4c0f-bda8-b04c827ef447", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/99421829-bc64-4c0f-bda8-b04c827ef447.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "EC directive|European Union|habitat|nature conservation|nature conservation policy|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of species 2007-2012 for public access aggregated at EU-27 level, Sep. 2014", "restApi": null, "label": 1051, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99421829-bc64-4c0f-bda8-b04c827ef447", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-species-public-agg-eu27_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_EU27 took place.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nThis version does not include species flagged as sensitive by Member States.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "a1be022f-c4be-4a0f-bbc0-f83811a2798df", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1be022f-c4be-4a0f-bbc0-f83811a2798df.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Lithuania (100km), May 2013", "restApi": null, "label": 1052, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1be022f-c4be-4a0f-bbc0-f83811a2798df", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-lt_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Lithuania", "publicationDate": "2019-07-01" }, { "sdiUuid": "a25da98d-0df0-420a-bc27-1c486376c72bf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a25da98d-0df0-420a-bc27-1c486376c72bf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Belgium (10km), May 2013", "restApi": null, "label": 1053, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a25da98d-0df0-420a-bc27-1c486376c72bf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-be_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Belgium", "publicationDate": "2019-06-21" }, { "sdiUuid": "c2619c28-9a17-4377-bfa6-5ef998f9eacaf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2619c28-9a17-4377-bfa6-5ef998f9eacaf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Czech Republic (100km), May 2013", "restApi": null, "label": 1054, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2619c28-9a17-4377-bfa6-5ef998f9eacaf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-cz_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Czechia", "publicationDate": "2019-06-21" }, { "sdiUuid": "4049bf5d-134c-4d02-b33a-54d7058cd67bf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4049bf5d-134c-4d02-b33a-54d7058cd67bf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Denmark (10km), May 2013", "restApi": null, "label": 1055, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4049bf5d-134c-4d02-b33a-54d7058cd67bf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-dk_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Denmark", "publicationDate": "2019-06-21" }, { "sdiUuid": "0c1533ab-2766-4317-a023-b00925f340c8f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1533ab-2766-4317-a023-b00925f340c8f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Latvia (1km), May 2013", "restApi": null, "label": 1056, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1533ab-2766-4317-a023-b00925f340c8f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-lv_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Latvia", "publicationDate": "2019-07-01" }, { "sdiUuid": "f9447505-c78c-4abe-9f8a-9e8fc78175c1f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9447505-c78c-4abe-9f8a-9e8fc78175c1f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Hungary (100km), May 2013", "restApi": null, "label": 1057, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9447505-c78c-4abe-9f8a-9e8fc78175c1f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-hu_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hungary", "publicationDate": "2019-07-01" }, { "sdiUuid": "20662887-fe38-4e2f-a37e-896141ddeb15f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20662887-fe38-4e2f-a37e-896141ddeb15f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Portugal (100km), May 2013", "restApi": null, "label": 1058, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Sweden", "publicationDate": "2019-07-02" }, { "sdiUuid": "e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Germany (100km), May 2013", "restApi": null, "label": 1060, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Germany", "publicationDate": "2019-06-27" }, { "sdiUuid": "98bd2c15-1a6d-4717-9850-01e3a44fe60ef", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98bd2c15-1a6d-4717-9850-01e3a44fe60ef.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Montenegro (1km), May 2013", "restApi": null, "label": 1061, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98bd2c15-1a6d-4717-9850-01e3a44fe60ef", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-me_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Montenegro", "publicationDate": "2019-07-01" }, { "sdiUuid": "74d822c2-db74-4438-8610-5a2e0426adb8f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74d822c2-db74-4438-8610-5a2e0426adb8f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Netherlands (100km), May 2013", "restApi": null, "label": 1062, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74d822c2-db74-4438-8610-5a2e0426adb8f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-nl_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Netherlands", "publicationDate": "2019-07-01" }, { "sdiUuid": "d86223b0-8672-4abc-816b-1a2e2d0b5aa5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d86223b0-8672-4abc-816b-1a2e2d0b5aa5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Communes 2013, Dec. 2015", "restApi": null, "label": 1063, "associatedResources": null, "sdiUseLimitation": "The Commission, its Executive Agencies and European Environmental Agency may use the dataset under usage restrictions stated in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" provided with the dataset. Contractors of the Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu . Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d86223b0-8672-4abc-816b-1a2e2d0b5aa5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_100_k_gisco-communes_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the geometry from EuroBoundary Map v8.x (source EuroGeographics). This dataset was integrated in a common repository of geometry (including country and EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_201, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. Each scale level in the COMM_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each Commune in the region feature class there is exactly 1 label.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "This dataset shows pan-European administrative boundaries down to commune level version 2013. Communes are equivalent to Local Administrative Units, level 2 (LAU2), LAU2 for Greece (EL) are subject to confirmation. The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU 1, 2, respectively, moving from larger to smaller territorial units). The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the non-EU countries. The LAU classification is not covered by any legislative act. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. \nThe data set is based on EuroBoundaryMap v. 8.x from Eurogeographics. Geographical extent covers the EU28, EFTA countries, and candidate countries. The scale of the data set is 1:100 000. \nThis metadata only refers to the 1:100k version of this dataset and shall only be used internally by the EEA following the conditions stated in the document \"GISCO-LicenseconditionsforEGdatasets.pdf\" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (COMM_2013.xml) is provided together with the dataset.\nA generalised version of this dataset at 1:1Mio is available for download on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/communes#communes13. Note the generalised version should be used for cartographic purposes.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EFTA4|EU28|Kosovo|Moldova|North Macedonia|Serbia", "publicationDate": "2019-06-04" }, { "sdiUuid": "ac3b8096-757f-42fc-a0c8-d7953e7e3f48f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac3b8096-757f-42fc-a0c8-d7953e7e3f48f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for United Kingdom (1km), May 2013", "restApi": null, "label": 1064, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b8096-757f-42fc-a0c8-d7953e7e3f48f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-gb_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "United Kingdom", "publicationDate": "2019-07-02" }, { "sdiUuid": "e902b716-5c5f-4baf-a48b-a74c8e6d2467f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e902b716-5c5f-4baf-a48b-a74c8e6d2467f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Greece (1km), May 2013", "restApi": null, "label": 1065, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e902b716-5c5f-4baf-a48b-a74c8e6d2467f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-gr_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Greece", "publicationDate": "2019-07-01" }, { "sdiUuid": "9faab055-6e5d-484b-8831-1193503e7f2df", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faab055-6e5d-484b-8831-1193503e7f2df.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Belgium (100km), May 2013", "restApi": null, "label": 1066, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faab055-6e5d-484b-8831-1193503e7f2df", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-be_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Belgium", "publicationDate": "2019-06-21" }, { "sdiUuid": "0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Estonia (100km), May 2013", "restApi": null, "label": 1067, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-ee_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Estonia", "publicationDate": "2019-06-21" }, { "sdiUuid": "a373b065-66d8-45ae-86af-6618cc6792cb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a373b065-66d8-45ae-86af-6618cc6792cb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Europe (100km), May 2011", "restApi": null, "label": 1068, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a373b065-66d8-45ae-86af-6618cc6792cb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-europe_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe", "publicationDate": "2019-06-26" }, { "sdiUuid": "8f086da7-e077-4dab-952b-0d12b00e326ef", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f086da7-e077-4dab-952b-0d12b00e326ef.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Serbia (100km), May 2013", "restApi": null, "label": 1069, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f086da7-e077-4dab-952b-0d12b00e326ef", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-rs_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Serbia", "publicationDate": "2019-07-02" }, { "sdiUuid": "aa9b407c-992f-4107-be3e-b7d14b57d6d9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa9b407c-992f-4107-be3e-b7d14b57d6d9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Administrative units 2016 at country level, May 2018", "restApi": null, "label": 1070, "associatedResources": null, "sdiUseLimitation": "Generalised dataset derived from EuroGeographics and UN-FAO GI data. The dataset may be used and distributed if: The source (EuroGeographics and UN-FAO) is acknowledged, AND The data is not used for commercial purpose, AND The original geometry is generalised to the equivalent of a scale of 1:1.000.000 or smaller. The source, copyright and branding will be acknowledged if the geographic data are used in Commission products. The acknowledgement will be displayed as \u201c@EuroGeographics\u201d on the map or in an acknowledgement text. The size of the text on the map will be proportional to the size of the map. The maximum length of copyright texts on electronic maps (web maps or electronic applications) is 20 characters. No copyright text will be applied for online icon maps with less than 150 x 150 pixels.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa9b407c-992f-4107-be3e-b7d14b57d6d9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_100_k_gisco-admin-boundaries_2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "Spatialite", "sdiElon": null, "lineage": "The dataset is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2016, NUTS_2016, CNTR_2016, EEZ_2016 and COAS_2016, are fully coherent and compliant. Each scale level in the CNTR_2016 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the reThe dataset is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2016, NUTS_2016, CNTR_2016, EEZ_2016 and COAS_2016, are fully coherent and compliant. Each scale level in the CNTR_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.gion and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": 2017, "tend": 2017, "abstract": "This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted.\nThis metadata only refers to the full dataset (polygon) at 100k (CNTR_RG_100K_2016 in the GISCO database) and shall only be used internally by the EEA. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (CNTR_2016.xml) is provided together with the dataset.\nThe public dataset is available for download on http://ec.europa.eu/eurostat/cache/GISCO/distribution/v2/countries/countries-2016-files.html", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "World", "publicationDate": "2019-06-04" }, { "sdiUuid": "28ca86ba-e5f0-4202-931d-9917b15b42b1f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ca86ba-e5f0-4202-931d-9917b15b42b1f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Bosnia and Herzegovina (100km), May 2013", "restApi": null, "label": 1071, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ca86ba-e5f0-4202-931d-9917b15b42b1f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-ba_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Czechia", "publicationDate": "2019-06-21" }, { "sdiUuid": "c95d15fb-d98c-4972-a9f0-d54742ffcf71f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c95d15fb-d98c-4972-a9f0-d54742ffcf71f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Lithuania (1km), May 2013", "restApi": null, "label": 1151, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c95d15fb-d98c-4972-a9f0-d54742ffcf71f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-lt_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Lithuania", "publicationDate": "2019-07-01" }, { "sdiUuid": "6aa829af-26f1-4f60-8073-f3704be4b422f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6aa829af-26f1-4f60-8073-f3704be4b422f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Luxembourg (1km), May 2013", "restApi": null, "label": 1152, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6aa829af-26f1-4f60-8073-f3704be4b422f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-lu_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Luxembourg", "publicationDate": "2019-07-01" }, { "sdiUuid": "bfd48dec-2424-421b-81fc-19021ef81c46f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bfd48dec-2424-421b-81fc-19021ef81c46f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Serbia (10km), May 2013", "restApi": null, "label": 1153, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bfd48dec-2424-421b-81fc-19021ef81c46f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-rs_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Serbia", "publicationDate": "2019-07-02" }, { "sdiUuid": "799f353c-d074-47c3-9783-7e246c036a1b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Elevation|Land cover|Population distribution \u2014 demography|Transport networks", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/799f353c-d074-47c3-9783-7e246c036a1b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Geographic Information System of the European Commission (GISCO), Jul. 2018", "restApi": null, "label": 1154, "associatedResources": null, "sdiUseLimitation": "Eurostat's general copyright notice and licence policy is applicable and can be consulted on http://ec.europa.eu/eurostat/about/policies/copyright. Please also be aware of the European Commission's general conditions (https://ec.europa.eu/info/legal-notice_en)\n\nMoreover, there are specific provisions applicable to some of the datasets available for downloading. The download and usage of these data is subject to their acceptance. Please see the respective section for more details on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data. \n\nThe European Commission, its Executive Agencies and European Environmental Agency may use the datasets under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.\n\nThe document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document \"LicenseConditions_EuroGeographics.pdf\".", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/799f353c-d074-47c3-9783-7e246c036a1b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_x_x_x_gisco_i_2016_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Information on the lineage of the different datasets can be found in their respective metadata files.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2016, "abstract": "GISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at three levels: the European Union, its member countries, and its regions.\n\nIn addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. \n\nThis metadata refers to the whole content of GISCO reference database extracted in July 2018, which contains both public datasets and datasets to be used only internally by the EEA. The document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document \"LicenseConditions_EuroGeographics.pdf\". \n\nThe database is provided in GDB and in SQLITE, with datasets at scales from 1:60M to 1:100K, with reference years spanning until 2016. The database manual, a file with the content of the database, and a document with the naming conventions are also provided with the database. For particular datasets extracted from this database (e.g. NUTS 2016, COUNTRIES 2016) please refer to the associated resources in the EEA SDI catalogue. \n\nNOTE: This metadata file is only for internal EEA purposes and in no case replaces the official metadata provided by Eurostat.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe|World", "publicationDate": "2019-06-04" }, { "sdiUuid": "c57a03db-5069-4554-a31b-ec8e53728d56f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c57a03db-5069-4554-a31b-ec8e53728d56f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Austria (1km), May 2013", "restApi": null, "label": 1155, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c57a03db-5069-4554-a31b-ec8e53728d56f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-at_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Austria", "publicationDate": "2019-06-21" }, { "sdiUuid": "f11d6b89-1a13-46b7-b900-a6629539f353f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f11d6b89-1a13-46b7-b900-a6629539f353f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Latvia (100km), May 2013", "restApi": null, "label": 1156, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f11d6b89-1a13-46b7-b900-a6629539f353f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-lv_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Latvia", "publicationDate": "2019-07-01" }, { "sdiUuid": "0046e069-1b48-4fb5-90e5-2f2793789f7df", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0046e069-1b48-4fb5-90e5-2f2793789f7df.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Gibraltar (10km), May 2013", "restApi": null, "label": 1157, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0046e069-1b48-4fb5-90e5-2f2793789f7df", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-gi_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. 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Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Iceland", "publicationDate": "2019-07-01" }, { "sdiUuid": "494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Iceland (10km), May 2013", "restApi": null, "label": 1174, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-is_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Iceland", "publicationDate": "2019-07-01" }, { "sdiUuid": "89ee806c-5804-40a6-a011-44a4b96478d9f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89ee806c-5804-40a6-a011-44a4b96478d9f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Switzerland (10km), May 2013", "restApi": null, "label": 1175, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89ee806c-5804-40a6-a011-44a4b96478d9f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-ch_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Switzerland", "publicationDate": "2019-07-02" }, { "sdiUuid": "5407bd5f-8c05-4b1c-9b8e-812574d6f50ff", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5407bd5f-8c05-4b1c-9b8e-812574d6f50ff.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Albania (100km), May 2013", "restApi": null, "label": 1176, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5407bd5f-8c05-4b1c-9b8e-812574d6f50ff", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-al_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania", "publicationDate": "2019-06-21" }, { "sdiUuid": "87bb8619-5dbb-4e49-8509-3f273439a185", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units|Geographical names|Population distribution \u2014 demography|Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/87bb8619-5dbb-4e49-8509-3f273439a185.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|national boundary|sub-national boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroBoundaryMap 2019 (EBM 2019), Jan. 2019", "restApi": null, "label": 1177, "associatedResources": null, "sdiUseLimitation": "The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis.\nThe license conditions are spelled out in the \"LicenseConditions.pdf\" document provided together with the dataset.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87bb8619-5dbb-4e49-8509-3f273439a185", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_100_k_ebm-europe_i_2018_v13_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "FGeo|SHP", "sdiElon": null, "lineage": "Delivered separately for each national contribution. \nPlease refer to the documents \"XX_Lineage_EBM.pdf\" (where XX is the country acronym), stored under each corresponding country folder in \"Descriptions_Metadata\" provided together with the dataset under the link \"Documentation\".", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroBoundaryMap (EBM) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.\nThis metadata refers to the version 2019 of EBM, which is a full update of all the countries. The dataset is provided both in a full Europe dataset (Data_FullEurope) and divided by countries (Data_Countries) in GDB and SHP formats, compressed (ZIP) and not compressed. EBM 2019 contains the matching with the NUTS regulations No 2016/2066 (NUTS 2016) and refers to the administrative situation as it was in each country on 1 January 2018 (reference date). \nThe EBM Full Europe database is containing Kosovo (KS) as an independent country, but the individual dataset of Serbia (RS) covers also Kosovo following Serbian legal position.\nFor more information about the data product specifications and changes with respect to the previous version of this dataset (EBM v12), please refer to the documents EBM_2019_Specification.pdf, EBM_2019_TechnicalGuide.pdf and EBM_2019_Changes.pdf provided with the dataset under the folder \"Documents\" and \"Descriptions_Metadata\" under \"Documentation\" link. \nIMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the \"Resource Constraints\" elements of this metadata file and on the document \"LicenseConditions.pdf\" provided with this dataset under \"Documentation\" link. This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset (\"Metadata_EBM_2019.xml\" within the \"Descriptions_Metadata\").", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Bosnia and Herzegovina|EFTA4|EU28|Europe|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine", "publicationDate": "2019-06-04" }, { "sdiUuid": "defe2664-966d-47a2-b7a5-939258ce008f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/defe2664-966d-47a2-b7a5-939258ce008f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Agglomerations - INTERNAL VERSION - Nov. 2017", "restApi": null, "label": 1178, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/defe2664-966d-47a2-b7a5-939258ce008f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-agglo_i_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Agglomerations data were reported by Member states in tabular format. Spatial position of individual agglomeations was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Agglomerations with obviously wrong coordinates were removed.\nIf the agglomeration coordinates were not reported, given agglomeration was not excluded (= missing information, coordinates are unknown); on the transformation from reported tabular format to the spatial point layer in ArcGIS, records with missing coordinates were not transferred to the points visible in the data layer, of course, but they are available in the attribute table and their coordinates aggLatitude and aggLongitude in the attribute table were set automatically to [0,0] values during the transformation process.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "UWWTD Agglomerations, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \nDataset UWWTD_Agglomerations contains agglomerations reported by countries with generated load \u2265 2000 p.e. (or even smaller), including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.\nDataset contains all reported agglomerations, including inactive ones. Agglomerations with obviously wrong coordinates were excluded only.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "e5dabe9d-4efe-40bd-8834-08544ed3fb62", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Production and industrial facilities", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e5dabe9d-4efe-40bd-8834-08544ed3fb62.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Waste Water Treatment Directive, Treatment plants - INTERNAL VERSION - Nov. 2017", "restApi": null, "label": 1179, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e5dabe9d-4efe-40bd-8834-08544ed3fb62", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_m_uwwtd-tp_i_2013-2014_v05_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Treatment plants data were reported by Member states in tabular format. Spatial position of individual treatment plants was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Treatment plants with obviously wrong coordinates were removed.\nIf the treatment plant coordinates were not reported, given treatment plant was not excluded (= missing information, coordinates are unknown); on the transformation from reported tabular format to the spatial point layer in ArcGIS, records with missing coordinates were not transferred to the points visible in the data layer, of course, but they are available in the attribute table and their coordinates uwwLatitude and uwwLongitude in the attribute table were set automatically to [0,0] values during the transformation process.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "UWWTD Treatment Plants, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. \nDataset UWWTD_TreatmentPlants contains urban waste water treatment plants and collecting systems without UWWTP, including their coordinates, capacity and actual load treated, type of treatment and data on the performance of plants.\nDataset contains all reported treatment plants, including inactive or not connected ones. Treatment plants with obviously wrong coordinates were excluded only.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "66c3b90b-8fc9-434c-b039-e38eef83c4b9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/66c3b90b-8fc9-434c-b039-e38eef83c4b9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "density|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil maps of European Food Agency Data (EFSA), bulk density of the topsoil - version 1.0, Oct. 2010", "restApi": null, "label": 1180, "associatedResources": null, "sdiUseLimitation": "Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\n\t\t\t\t\n\t\t\t\tNotification regarding these data: \n\n1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \n2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \n3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \n4.The user agrees to: \n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n \n\nReference of source (Citations) : \n\n1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \n2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/66c3b90b-8fc9-434c-b039-e38eef83c4b9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_efsa-soil-maps-rho_2008-2009_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to the JRC Technical Report entitled \"EFSA Spatial Data Version 1.1 - Data Properties and Processing\" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\n\t\t\t\n\t\t\tThis dataset contains the topsoil bulk density expressed in kg.m^-3\n\t\t\t\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "2b47ab28-dc02-4104-af60-f99c27b5f483", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b47ab28-dc02-4104-af60-f99c27b5f483.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil|soil texture", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil maps of European Food Agency Data (EFSA), texture class of the topsoil - version 1.0, Oct. 2010", "restApi": null, "label": 1181, "associatedResources": null, "sdiUseLimitation": "Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\n\t\t\t\t\n\t\t\t\tNotification regarding these data: \n\n1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \n2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \n3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \n4.The user agrees to: \n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n \n\nReference of source (Citations) : \n\n1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \n2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b47ab28-dc02-4104-af60-f99c27b5f483", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_efsa-soil-maps-texture_2008-2009_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to the JRC Technical Report entitled \"EFSA Spatial Data Version 1.1 - Data Properties and Processing\" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\n\nThis dataset contains the topsoil texture class expressed as relative proportion (%):\nValue ID: 1 --- Texture: Coarse (18% < clay and > 65% sand)\nValue ID: 2 --- Texture: Medium (18% < clay < 35% and >= 15% sand, or 18% < clay and 15% < sand < 65%)\nValue ID: 3 --- Texture: Medium fine (< 35% clay and < 15% sand)\nValue ID: 4 --- Texture: Fine (35% < clay < 60%)\nValue ID: 5 --- Texture: Very fine (clay > 60%)\nValue ID: 9 --- Texture: No mineral texture (Peat soils)\n\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "d1a5a044-5e81-460a-b555-6ddee36e5fac", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1a5a044-5e81-460a-b555-6ddee36e5fac.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil maps of European Food Agency Data (EFSA) - version 1.0, Oct. 2010", "restApi": null, "label": 1182, "associatedResources": null, "sdiUseLimitation": "Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\n\t\t\t\t\n\t\t\t\tNotification regarding these data: \n\n1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \n2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \n3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \n4.The user agrees to: \n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n \n\nReference of source (Citations) : \n\n1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \n2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1a5a044-5e81-460a-b555-6ddee36e5fac", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_efsa-soil-maps_2008-2009_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to the JRC Technical Report entitled \"EFSA Spatial Data Version 1.1 - Data Properties and Processing\" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. Soil maps: Organic matter content of the topsoil, pH of the topsoil, Bulk density of the topsoil, Texture of the topsoil, Water content at field capacity.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "663e4a29-3a1c-461b-9975-174f46ccd944", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/663e4a29-3a1c-461b-9975-174f46ccd944.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), ancillary data sets - version 1, Jun. 2012", "restApi": null, "label": 1183, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/663e4a29-3a1c-461b-9975-174f46ccd944", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-ancillary_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "All data sets are from other Ecrins, except the dams table that is taken from Eldred2. This later data sets is limited in access and only public information is set in this Ecrins ancillary data set.\nNon catalogued dams have been added as complements of lakes reported under the WFD when the lake reported had been created as artificial reservoir (e.g. Alqueva lake results of the Alqueva dam). In this case, individual updates have been carried out.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This personal geodatabases (compatible Access 1997 and beyond, ArcGis\u00ae 9.3.0 and beyond) contains different ancillary datasets of Ecrins v1.0. the number and contents of the ancillary.\nThe most relevant feature class is the C_dams that documents the dams that have a position accurately recorded. Hence this layer is likely to be updated if new coordinates are obtained (coordinates and dams update is a continuous work by the EEA). Dams are related to river segments and to lakes. It may happen that a dam is not related for several reasons: dams coordinates are inaccurate; position of lake / segment is inaccurate and too far and I some cases the lake does not exist (e.g. less than 25 ha, not yet filled or the dams makes no lake) or the segment does not exist for example is the lake has no river to empty it.\nThe second ancillary data set id the features class of FECs centroids, it has been placed here to avoid inflating the EcrFEC database and make it at a safe distance of the 2GB impassable threshold of MS Access\u00ae .\nThe two last ancillary dataset are flat table making it possible to retrieve source CCM catchments that contributed to FECS, table FECvsW1, with reference to the smallest entity aggregated as FEC. second table is TR_TR0 giving equivalence of the segment ID in version 0 to the current version. Both tables are only for those experts working in parallel with CCM.\nFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "0d7b3d8f-084c-4c26-8c0c-fc43232cb80a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4f15ee2-2c70-465f-8eaf-8e679692949a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Coastal waters - version 1, Oct. 2013", "restApi": null, "label": 1184, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/transitional-and-coastal-reference-layers", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d7b3d8f-084c-4c26-8c0c-fc43232cb80a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_100_k_cw_2012_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The TC reference layers update version 20130626 is an update for the version 20121204. It was compiled to include feedback received from Member States during and after the Working Group D in April/May 2013.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "\"Coastal water\" are surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "41d55e8f-4fcf-41f9-8d97-14613fcd1f9c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/41d55e8f-4fcf-41f9-8d97-14613fcd1f9c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European soil database (ESDB), Dominant STU rasters (Soil Topologycal Units) - version 2.0, May 2006", "restApi": null, "label": 1185, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006.\n Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41d55e8f-4fcf-41f9-8d97-14613fcd1f9c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_esdb-dom-stu_2001-2006_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDB_data_1k_raster_intro/ESDB_1k_raster_data_intro.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The European Soil Database (ESDB) contains four discrete datasets: - the Soil Geographical Database of Eurasia at scale 1:1,000,000 (SGDBE) - the Pedotransfer Rules Database (PTRDB) - the Soil Profile Analytical Database of Europa (SPADBE) - the Database of Hydraulic Properties of European Soils (HYPRES) This 1km x 1km raster version release of the database is freely available to the public and contains a 1km raster version of the vector based soil geometry (which is part of the SGDBE).\n\t\t\t\n\t\t\tRaster values have been derived using the \"features to raster\" tool in the Spatial Analyst extension of ArcGIS, the feature layer being a shapefile created from the SGDBE geometrical database to which attributes from SGDBE and PTRDB have been linked according to the \"dominant STU\" principle for the \"dominant STU\" rasters.\n\t\t\t\n\t\t\tDominant STU principle: For each SMU (Soil Mapping Unit): a \u201cdominant STU\u201d is associated. (\u201cdominant\u201d in terms of % of area). The value of a soil attribute A (e.g. depth-to-rock) for this SMU would be the value that A has within that dominant STU.\n\nThe attributes are described at:\t\t\t\nhttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/SG_attr.htm\nhttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/pt_attr.htm\n\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "d4f15ee2-2c70-465f-8eaf-8e679692949a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4f15ee2-2c70-465f-8eaf-8e679692949a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Transitional waters - version 1, Oct. 2013", "restApi": null, "label": 1186, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/transitional-and-coastal-reference-layers", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4f15ee2-2c70-465f-8eaf-8e679692949a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4326_100_k_tw_2012_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The TC reference layers update version 20130626 is an update for the version 20121204. It was compiled to include feedback received from Member States during and after the Working Group D in April/May 2013.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 1990, "tend": 2000, "abstract": "\"Transitional waters\" are bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "c156fb97-f3ea-4e61-b33f-b48236cb7f30", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c156fb97-f3ea-4e61-b33f-b48236cb7f30.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), lakes and reservoirs - version 1, Jun. 2012", "restApi": null, "label": 1187, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c156fb97-f3ea-4e61-b33f-b48236cb7f30", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-lakes_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "Main source is Corine Land cover 2006, checked against ERM lakes layer for identifying relevance of Corine Land cover classification. Secondary sources are Eldred2 (EEA dams database) and WFD Art 13 deliveries. For example, a large dams mentioned in Eldred with a lake of sufficient area is verified against the lake layer and eventual correction on Corine Land cover is carried out; this was often the case for narrow and long reservoirs on rivers that are frequently clustered, forgotten or ill-classified in Corine Land cover. The presence of lake in different sources is mentioned in the C_lak table and if possible the ID of the source element reported as well as the ID of the matched ERM lake, hence making a bridge between the Ecrins (operational data set) and the user of ERM (geographical data set).\nLake naming comes pro-parte from ERM, when a match is found and verified against other sources, from Art 13 reporting and from Wikipedia. Lakes matched to Wikipedia entries are as well flagged.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2006, "abstract": "This personal geodatabase (compatible Access 1997 and beyond, ArcGis\u00ae 9.3.0 and beyond) contains the \u201clakes\u201d datasets of Ecrins v1.0\nLakes are very important features of any hydrographical system and have hence been added to Ecrins. This feature is more uncertain than the other ones since it results from the processing of different sources under a twin constraint of relevance and free of charges accessibility.\nThe current layer comprises 70,847 lake objects, that will certainly be updated in the months to come. A lake is, as a river both a geometric and cultural object. In areas where many lakes are intertwined, the difference between one and several lakes is often that a name has been found or not or that the Corine Land cover maker has placed a limit or not.\nThe database comprises the following tables: feature class C_Lak with all information related to all still waterbodies which area is more than the Corine Land cover threshold, plus those identified because a reservoir or any other relevant source. This table is completed by the centroids of lakes, V_lak_Centro. The complex relationships between lakes and river segments are documented by table lakInOut where the inlet and the outlet(s) segments are reported. Complementary tables, needed by the water accounts, v_lakperadmin et v_linterfec respectively document the lake to administrative entities, with shared area and same with FECs.\nBeing in relation with the other components of Ecrins, lakes are versioned with respect to catchments and rivers and with their update as well.\nLake naming comes from fours sources: ERM, Eldred2, Art 13 reporting and Wikipedia.\nHydrographical information (volume, Zaverage, Zmax) and is permanently updated from three source: Eldred2, the dams database, and Wikipedia \nIn version 1.0, the history of lakes is not documented. Most natural lakes have a time span much before and beyond the expected duration of Ecrins. Artificial lakes, related to dams have their history documented with the dam and some natural lakes are intermittent. This last category is not documented.\nSince lower limit for lake inclusion is 25 ha, all \u201cmain lakes\u201d under the WFD acceptation are present (except if missed for any reason, the most likely being creation of an artificial reservoir not present in the latest update).\nFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "6169a4d6-f54a-430b-b79d-e3606b07978a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6169a4d6-f54a-430b-b79d-e3606b07978a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "organic matter|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil maps of European Food Agency Data (EFSA), organic matter content of the topsoil - version 1.0, Oct. 2010", "restApi": null, "label": 1188, "associatedResources": null, "sdiUseLimitation": "Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\n\t\t\t\t\n\t\t\t\tNotification regarding these data: \n\n1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \n2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \n3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \n4.The user agrees to: \n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n \n\nReference of source (Citations) : \n\n1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \n2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6169a4d6-f54a-430b-b79d-e3606b07978a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_efsa-soil-maps-om_2008-2009_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to the JRC Technical Report entitled \"EFSA Spatial Data Version 1.1 - Data Properties and Processing\" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2009, "abstract": "In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\n\t\t\t\n\t\t\tThis dataset represents the organic matter content of the topsoil expressed as concentration (%).\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "5fd67b22-2e7e-445c-b466-a0faa842001a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5fd67b22-2e7e-445c-b466-a0faa842001a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), aggregation catchments and reference layers - version 1, Jun. 2012", "restApi": null, "label": 1189, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5fd67b22-2e7e-445c-b466-a0faa842001a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-agg-catch_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "To be completed", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2006, "abstract": "This personal geodatabases (compatible Access 1997 and beyond, ArcGis\u00ae 9.3.0 and beyond) contains the aggregation catchments datasets of Ecrins v1.0\nThe purpose of Ecrins is modelling and homogeneous assessment of any data sets and information in relation with continental catchment systems. The WFD is the main driver of creation of such aggregates.\nThe uppermost aggregate of the WFD is the \u201criver basin district\u201d that is not hydrological entity. It is analysed as i) all those FECS being in majority in the official RBD delineation, ii) all those FECs, topologically connected, that are the closet shaping of the RBD, the \u201cfunctional RBD\u201d. For example, the upper Garonne is in the first case attached the Ebro RBD and to the Garonne functional RBD because the water empties in the Gironde, not in the Mediterranean\nRBD sizes lay in a wide range. Two categories of sub-basins have been designed, the \u201csub-basins Strahler, aggregated from a Strahler order criterion and the natural sub-basins, aggregated from a main affluent criterion. Both apportion functional RBDs.\nThe tables are C_B, the catchments that empty on a se-shore (as the seas from SeaVox, care taken of islands: e.g. England and France vs. British Channel are different C_B, despite same sea shore)\nRBD_Int_clp are the RBDs, dissolved as international RBDs;\nC_FRBD functional RBDs\nC_SS: sub-basins based on Strahler definition, C_SB: sub-basins natural\nC_NUTS: harmonised table of \u201cpseudo nuts\u201d used to document FECs (largest share of FEC in a NUT). NUT level has been selected to match best French NUTS2, making appropriate aggregate in those countries not using the NUTs classification;\nC_try: delineation of countries to which FECs have been set.\nThe ID of each feature in each feature class are those in the C_Zhyd table of EcrFEC.\nFull documentation is in EEA technical report 9/2012, downloadable from the EEA website.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "19cff95e-61ac-45ed-8ee3-c43220d709cf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/19cff95e-61ac-45ed-8ee3-c43220d709cf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "digital land model|land cover|land use|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EU-DEM (raster) - version 1.0, Apr. 2016", "restApi": null, "label": 1190, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/eu-dem-v1.0/view", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19cff95e-61ac-45ed-8ee3-c43220d709cf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_25_m_eu-dem_2000_rev1-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The EU-DEM v1.0 is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM v1.0 is edited to ensure that water features are adequately represented and consistent with the hydrography layer. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographical features and pits and bumps. In areas above 60 degrees North, the EU-DEM generation process is supported by other DEM data sources provided by the JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "EU-DEM v1.0 is a digital surface model (DSM) representing the first surface as illuminated by the sensors. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach and generated as a contiguous dataset divided into 1 degree by 1 degree tiles, corresponding to the SRTM naming convention. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08. These tiles have then been aggregated into 5\u00b0x5\u00b0 tiles which have been projected to ETRS-LAEA by the Joint Research Centre (JRC) of the European Commission.\n\nThe implementation of EU-DEM v1.0 was coordinated by the European Commission in 2009-2011 in the framework of the Reference Data Access (RDA) Action of the EU GMES/Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|geospatial data|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "cc8760bd-58d5-4aca-b3bb-cae933cc80e7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc8760bd-58d5-4aca-b3bb-cae933cc80e7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil|water (geographic)", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil maps of European Food Agency Data (EFSA), water content at field capacity of the topsoil - version 1.0, Oct. 2010", "restApi": null, "label": 1191, "associatedResources": null, "sdiUseLimitation": "Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\n\t\t\t\t\n\t\t\t\tNotification regarding these data: \n\n1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \n2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \n3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \n4.The user agrees to: \n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n \n\nReference of source (Citations) : \n\n1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \n2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc8760bd-58d5-4aca-b3bb-cae933cc80e7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_efsa-soil-maps-thetafc_2008-2009_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to the JRC Technical Report entitled \"EFSA Spatial Data Version 1.1 - Data Properties and Processing\" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2009, "abstract": "In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\n\t\t\t\n\t\t\tThis dataset contains the topsoil water content at field capacity expressed in m^3 m^-3.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "299482e6-917d-41a7-861b-73289a37b809", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1h_dist_edt1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat type F3-1h distribution based on vegetation plot data - version 1, June 2016", "restApi": null, "label": 1192, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/299482e6-917d-41a7-861b-73289a37b809", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f3-1h_1940-2011_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Europe|Habitats and biotopes", "publicationDate": "2019-06-04" }, { "sdiUuid": "08e7b052-3c4c-4545-943f-63db46be0a66", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/08e7b052-3c4c-4545-943f-63db46be0a66.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European soil database (ESDB), Dominant value rasters - version 2.0, May 2006", "restApi": null, "label": 1193, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006.\n Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08e7b052-3c4c-4545-943f-63db46be0a66", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_esdb-dom-val_2001-2006_rev02", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDB_data_1k_raster_intro/ESDB_1k_raster_data_intro.html", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2001, "tend": 2006, "abstract": "The European Soil Database (ESDB) contains four discrete datasets: - the Soil Geographical Database of Eurasia at scale 1:1,000,000 (SGDBE) - the Pedotransfer Rules Database (PTRDB) - the Soil Profile Analytical Database of Europa (SPADBE) - the Database of Hydraulic Properties of European Soils (HYPRES) This 1km x 1km raster version release of the database is freely available to the public and contains a 1km raster version of the vector based soil geometry (which is part of the SGDBE).\n\t\t\t\n\t\t\tRaster values have been derived using the \"features to raster\" tool in the Spatial Analyst extension of ArcGIS, the feature layer being a shapefile created from the SGDBE geometrical database to which attributes from SGDBE and PTRDB have been linked according to the \"dominant value\" principle for the \"dominant value\" rasters.\n\t\t\t\n\t\t\tDominant Value principle: For each SMU (Soil Mapping Unit) and for a soil attribute P: the value of P is the class value that appears most within the SMU, i.e. each SMU is fully coloured with the colour assigned to the attribute class which is dominant within each SMU.\n\nThe attributes are described at:\t\t\t\nhttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/SG_attr.htm\nhttp://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/pt_attr.htm\n\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "pH-value|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil maps of European Food Agency Data (EFSA), pH of the topsoil - version 1.0, Oct. 2010", "restApi": null, "label": 1194, "associatedResources": null, "sdiUseLimitation": "Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html\n\t\t\t\t\n\t\t\t\tNotification regarding these data: \n\n1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. \n2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. \n3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. \n4.The user agrees to: \n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; \n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n \n\nReference of source (Citations) : \n\n1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 \n2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_efsa-soil-maps-ph_2008-2009_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to the JRC Technical Report entitled \"EFSA Spatial Data Version 1.1 - Data Properties and Processing\" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2009, "abstract": "In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups.\n\t\t\t\n\t\t\tThis dataset contains the topsoil pH.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "4a77ed8d-7076-4ff0-9600-224ad48754ac", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a77ed8d-7076-4ff0-9600-224ad48754ac.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 - 2012 changes (raster 250m) - version 18, Mar. 2016", "restApi": null, "label": 1195, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a77ed8d-7076-4ff0-9600-224ad48754ac", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clcc_2006-2012_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "e70024f0-350a-452f-875c-fcd960c4af87", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e70024f0-350a-452f-875c-fcd960c4af87.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2012 (raster 250m) - version 18, Sep. 2016", "restApi": null, "label": 1196, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e70024f0-350a-452f-875c-fcd960c4af87", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clc_2011-2012_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "5d2e8632-245e-41ad-9a7b-be78f4f4597d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d2e8632-245e-41ad-9a7b-be78f4f4597d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Assessment of contamination status using CHASE+ excluding metals, Mar. 2019", "restApi": null, "label": 1197, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d2e8632-245e-41ad-9a7b-be78f4f4597d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_20_km_chase-exclmetals_p_2009-2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20km", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 \u00d7 20 km2 in coastal waters and 100 \u00d7 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\nBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\nMore information can be found in the report \"Contaminants in Europe's seas\" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of metals.\nThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\nThis dataset underpins the findings and cartographic representations published in the report \"Contaminants in Europe's Seas\" (EEA, 2019).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "4b6d6179-c0a0-4f6d-9ed4-4454b4895ce2", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4b6d6179-c0a0-4f6d-9ed4-4454b4895ce2.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 100m) - version 18, Mar. 2016", "restApi": null, "label": 1198, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4b6d6179-c0a0-4f6d-9ed4-4454b4895ce2", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clc_1999-2001_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "1dcfa016-e904-410d-ab57-1ba1607a4587", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1dcfa016-e904-410d-ab57-1ba1607a4587.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (raster 100m) - version 18, Mar. 2016", "restApi": null, "label": 1199, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1dcfa016-e904-410d-ab57-1ba1607a4587", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clcc_2000-2006_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "23b14f13-a4bb-498b-a99c-2bed6d644a96", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b14f13-a4bb-498b-a99c-2bed6d644a96.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes (vector) - version 18, Mar. 2016", "restApi": null, "label": 1200, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b14f13-a4bb-498b-a99c-2bed6d644a96", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clcc_1986-2001_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "noise|protected area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Potential quiet areas in Europe, based upon Quietness Suitability Index (QSI) and Natura 2000 protected areas, Jul. 2016", "restApi": null, "label": 1201, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_quietareas-qsi-n2k_p_2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Calculation and intersections of layers:\n1. Calculation of QSI for european countries.\n2. Intersection with Natura 2000 protected areas.\n\nData sources:\n- END: major roads, major railways and major airports noise contour maps (2012)\n- END: location of major roads and major railways and major airports\n- Urban morphological zones (UMZ) from CLC 2006\n- E-PRTR register: industries' location and attributes: Europe-wide register that provides easily accessible key environmental data from industrial facilities in European Union Member States and in Iceland, Liechtenstein, Norway, Serbia and Switzerland. It replaced and improved upon the previous European Pollutant Emission Register (EPER). Access 2014.\n- Corine Land Cover and Land Use data 2006 (CLC) (100 \u00d7 100 m grid)\n- Corine Land Cover 2000 for Greece\n- EuroRegionalMap v. 6.0: roads, railways and airports infrastructure. (Version 6.0, 18.12.2012)\n- Natura 2000\n- The population of each UMZ in 2000 (year of reference) was added by using the last version (v. 5) of the population density grid constructed by the European Commission research centre (Gallego, 2010). Raster data on population density using Corine Land Cover 2000 inventory.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2016, "tend": 2016, "abstract": "Within the European Union, the Environmental Noise Directive (END; 2002/49/EC) defines quiet areas outside cities as those areas delimited by national authorities that are undisturbed by noise from traffic, industry or recreational activities. In this dataset, two datasets has been brought together to visualize how human made noise have an impact on nature protected areas: the Natura2000 dataset and the quietness suitable index dataset.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA33", "publicationDate": "2019-06-19" }, { "sdiUuid": "0f5f5180-8546-4bc9-979f-3039e850f23a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f5f5180-8546-4bc9-979f-3039e850f23a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Assessment of contamination status using CHASE+ excluding PBDEs, Mar. 2019", "restApi": null, "label": 1202, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f5f5180-8546-4bc9-979f-3039e850f23a", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_20_km_chase-exclpbdes_p_2009-2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20km", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 \u00d7 20 km2 in coastal waters and 100 \u00d7 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\nBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\nMore information can be found in the report \"Contaminants in Europe's seas\" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2016, "abstract": "This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of polybrominated diphenyl ethers (PBDEs)\nThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\nThis dataset underpins the findings and cartographic representations published in the report \"Contaminants in Europe's Seas\" (EEA, 2019).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "b5ec412d-551d-46e5-8516-2ddb12969f6e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b5ec412d-551d-46e5-8516-2ddb12969f6e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) - version 18, Mar. 2016", "restApi": null, "label": 1203, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b5ec412d-551d-46e5-8516-2ddb12969f6e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clc_1986-1998_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1986, "tend": 1998, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "c20e2810-f274-40bf-ade9-a1e9d096f3ab", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c20e2810-f274-40bf-ade9-a1e9d096f3ab.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 250m) - version 18, Mar. 2016", "restApi": null, "label": 1204, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c20e2810-f274-40bf-ade9-a1e9d096f3ab", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clc_1986-1998_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1986, "tend": 1998, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "51269dee-1b62-48e3-8945-256b8aae0394", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/51269dee-1b62-48e3-8945-256b8aae0394.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes (raster 100m) - version 18, Mar. 2016", "restApi": null, "label": 1205, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51269dee-1b62-48e3-8945-256b8aae0394", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clcc_1986-2001_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1986, "tend": 2001, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "2bf95800-8b2e-4edf-9a45-05860300f002", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2bf95800-8b2e-4edf-9a45-05860300f002.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Assessment of contamination status using CHASE+ excluding mercury (Hg), Mar. 2019", "restApi": null, "label": 1206, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2bf95800-8b2e-4edf-9a45-05860300f002", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_20_km_chase-exclhg_p_2009-2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20km", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 \u00d7 20 km2 in coastal waters and 100 \u00d7 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\nBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\nMore information can be found in the report \"Contaminants in Europe's seas\" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2016, "abstract": "This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of mercury (Hg).\nThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\nThis dataset underpins the findings and cartographic representations published in the report \"Contaminants in Europe's Seas\" (EEA, 2019).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "9a265467-65a6-4aaf-a56e-0afbe432ed8c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a265467-65a6-4aaf-a56e-0afbe432ed8c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (vector) - version 18, Mar. 2016", "restApi": null, "label": 1207, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a265467-65a6-4aaf-a56e-0afbe432ed8c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clcc_2000-2006_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "48545018-0505-494c-9ee1-d9ae792d4cf8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48545018-0505-494c-9ee1-d9ae792d4cf8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), natural sub basins of Europe - version 0, Dec. 2011", "restApi": null, "label": 1208, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48545018-0505-494c-9ee1-d9ae792d4cf8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-sub-basins_1990-2006_rev00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The natural sub basins layer is derived from ECRINS FECs. The process for creating them consists of a semi-automated procedure by which first FECs belonging to basins bigger than 40,000 square Kilometres are selected. Inside that basin, tributaries to the main river with a drainage surface bigger than 10,000 square Kilometres are taken as separate sub basins. If the area of an individual sub basin is bigger than 40,000 square Kilometres, then it is further subdivided as a normal basin. This loop continues until there is no tributary left with a surface bigger than 40,000 square Kilometres. \n\nIn big river basins, nested subdivisions occur when the resulting sub basin divided using main tributaries happen to be bigger than 40,000 square Kilometres. The main course of the river after removing tributaries can still have a surface bigger than 40,000 square Kilometres. In such case, it is further subdivided by manually selecting the last FEC downstream of the upper sub basin. The selection is made taking into consideration the shape of the basin, the proximity of other subdivision because of big tributaries, the presence of tributaries below the 10,000 square Kilometres threshold, and the surface upstream not being subdivided yet to be bigger than 10,000 and smaller than 40,000 square Kilometres.\n\nThis classification is done editing FECs\u2019 attribute SB. After that they are dissolved with multipart option, and using the field SB, into the sub basins.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1990, "tend": 2006, "abstract": "The natural sub basins of Europe is a feature dataset which subdivides natural basins bigger than 40,000 square Kilometres into sub catchments of a surface between 10,000 square Kilometres and 40,000 square Kilometres. Sub basins are defined using the catchment area of big tributaries as much as possible, and subdividing the main course of the river into upper, medium, and lower parts of the basin. The target is having a spatially homogeneous, but still with hydrological meaning units. These subdivisions are nested when river basins are big and tributaries drain a surface bigger than 40,000 square Kilometres, which in the case of Danube and Volga makes up to 3 levels of sub basins.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "24d14e26-4911-4afe-8df2-a73a11cb7270", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/24d14e26-4911-4afe-8df2-a73a11cb7270.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 - 2012 changes (vector) - version 18, Mar. 2016", "restApi": null, "label": 1209, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/24d14e26-4911-4afe-8df2-a73a11cb7270", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clcc_2006-2012_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2012, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "665eca9a-f502-44cb-8a6d-53b267ea9856", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/665eca9a-f502-44cb-8a6d-53b267ea9856.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) - version 18, Sep. 2016", "restApi": null, "label": 1210, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/665eca9a-f502-44cb-8a6d-53b267ea9856", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clc_2005-2007_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "ff21ade0-a714-4725-86bb-279ee7a8a73e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ff21ade0-a714-4725-86bb-279ee7a8a73e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2012 (raster 100m) - version 18, Sep. 2016", "restApi": null, "label": 1211, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff21ade0-a714-4725-86bb-279ee7a8a73e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_clc_2011-2012_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2012, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "8e7b1303-974d-49ac-959d-a2527a844561", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8e7b1303-974d-49ac-959d-a2527a844561.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2012 (vector) - version 18, Sep. 2016", "restApi": null, "label": 1212, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e7b1303-974d-49ac-959d-a2527a844561", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clc_2011-2012_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2011, "tend": 2012, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "02f21b43-055f-4423-943d-c68399424810", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02f21b43-055f-4423-943d-c68399424810.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 250m) - version 18, Sep. 2016", "restApi": null, "label": 1213, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02f21b43-055f-4423-943d-c68399424810", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clc_2005-2007_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "3feffd63-ab0b-4f03-84e8-b2c324c93bbe", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3feffd63-ab0b-4f03-84e8-b2c324c93bbe.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Assessment of contamination status using CHASE+, Mar. 2019", "restApi": null, "label": 1214, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3feffd63-ab0b-4f03-84e8-b2c324c93bbe", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_20_km_chase_p_2009-2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20km", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 \u00d7 20 km2 in coastal waters and 100 \u00d7 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\nBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\nMore information can be found in the report \"Contaminants in Europe's seas\" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2016, "abstract": "This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019.\nThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\nThis dataset underpins the findings and cartographic representations published in the report \"Contaminants in Europe's Seas\" (EEA, 2019).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "234f10a8-89c8-4439-850a-cfb0f86a61ae", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/234f10a8-89c8-4439-850a-cfb0f86a61ae.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 250m) - version 18, Mar. 2016", "restApi": null, "label": 1215, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/234f10a8-89c8-4439-850a-cfb0f86a61ae", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clc_1999-2001_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1999, "tend": 2001, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "6f56f664-f28a-47c9-a711-6dd344618b6d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6f56f664-f28a-47c9-a711-6dd344618b6d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 European (vector) - version 18, Mar. 2016", "restApi": null, "label": 1216, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6f56f664-f28a-47c9-a711-6dd344618b6d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clc_1986-1998_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1986, "tend": 1998, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "50240990-015a-47f0-863b-b131412c9047", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50240990-015a-47f0-863b-b131412c9047.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (vector) - version 18, Mar. 2016", "restApi": null, "label": 1217, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50240990-015a-47f0-863b-b131412c9047", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_100_m_clc_1999-2001_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo|Spatialite", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nMinimum Mapping Width: 100 m\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1999, "tend": 2001, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "169c01a3-6b84-4326-a9d6-352b22ab4921", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/169c01a3-6b84-4326-a9d6-352b22ab4921.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (raster 250m) - version 18, Mar. 2016", "restApi": null, "label": 1218, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/169c01a3-6b84-4326-a9d6-352b22ab4921", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clcc_2000-2006_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "5cd50c71-54af-47e5-8efd-9bb9fee21772", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5cd50c71-54af-47e5-8efd-9bb9fee21772.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "land cover|land use|landscape|landscape alteration", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 - 2000 changes (raster 250m) - version 18, Mar. 2016", "restApi": null, "label": 1219, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5cd50c71-54af-47e5-8efd-9bb9fee21772", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_250_m_clcc_1986-2001_rev18", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "250m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Version 18 (V18)\nRelease date: 19-09-2016 (see V18_5_1)\nMain purpose of the release: Publication of the final, corrected CLC 2012 data.\nThe 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1.\n Changes from previous main release (Version 17): \n\u2022\tInclusion of CLC 2012 layers for all the EEA39 countries.\n\u2022\tProduction of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1).\n\u2022\tRevised CLC 2000 and CLC 2006 layers were made available (V18_5).\n\u2022\tChange in rasterization algorithm (V18_2).\nKnown problems: \n\u2022\tSome redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting \u2018adaptive tilling\u2019 procedure (limitation of ESRI ArcGIS technology for large datasets).\n\u2022\tPolygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version.\n\nSee http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version.\n\nVersion 17 (V17)\nRelease date: 02-12-2013\nMain purpose of the release: Maintenance / Increased European coverage of CLC time series data.\nChanges from previous release (V16): \n\u2022\tFull CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). \n\nVersion 16 (V16)\nRelease date: 15-04-2012 \nMain purpose: Maintenance / Increased and improved European coverage of CLC time series data.\nChanges from previous release (V15): \n\u2022\tCLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK.\n\u2022\tCLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006).\n\u2022\tShift in MT geographic position has been corrected. All CLC layers for MT have been re-projected.\n\u2022\tA few coding inconsistences were corrected.\n\nVersion 15 (V5) \nRelease date: 20-07-2011 \nMain purpose: Publication of final CLC2 006 data.\nThe 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. \nChanges from previous release (V14 (V4)): \n\u2022\tCLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece.\n\u2022\tA simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. \n\u2022\tFor the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area \u2264 0,1 ha (sliver polygons) are eliminated. \n\u2022\tData dissemination: CLC data become freely accessible from the EEA to any person or legal entity.\n\nVersion 14 (V4)\nRelease date: 25-10-2010\nMain purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data.\nChanges from previous release (V13 (V3)): \n\u2022\tCLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland).\n\u2022\tNew data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only.\n\u2022\tNew data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK.\n\nThe seamless European database has been further improved addressing feedback from the EEA on V13 (V3):\n\u2022\tNo-data buffer (code 999) outside of valid data area was deleted.\n\u2022\tSmall gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase.\n\u2022\tRemaining neighbour polygons with the same code were resolved by additional dissolve operation.\n\nVersion 13 (V3)\nRelease date: 02/2010 \nMain purpose: Publication of initial European coverage of CLC 2006 data. \nChanges from previous release (V2): \n\u2022\tVersion numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. \n\u2022\tFirst seamless release in ESRI Geodatabase format.\n\u2022\tInitial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland).\n\u2022\tTwo updates added to CLC 2000: a new version for NO and the first CLC dataset for TR.\n\u2022\tSea buffer around land has been introduced (15 km as proxy to 12 nautical miles\u2019 sea zone).\n\nVersion 2 (V2)\nRelease date: 09/2009\nMain purpose: Publication of final CLC 2000 coverages.\nThe 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. \nChanges from previous release (V1): \n\u2022\tIt was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). \n\u2022\tNew country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). \n\u2022\tCLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery.\n\u2022\tThe dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries.\n\nVersion 1 (V1)\nRelease date: 08/2005 \nMain purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data.\nChanges from previous release (V0): \n\u2022\tThe first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles.\n\u2022\tThe production of the first CLCC database has started, but no consolidated methodology was available.\n\u2022\tInitial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR.\n\u2022\tCLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. \n\u2022\tFull harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). \n\u2022\tSemi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. \n\u2022\tVector to raster conversion: \u201ccell centre\u201d method was applied.\n\u2022\tThe 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised.\n\u2022\tDual ownership of CLC and CLCC data (EEA and the country) was introduced. \n\nVersion 0 (V0)\nRelease dates: up to 12/2000\nMain purpose: Distribution of country-level CLC 1990 data and creation of European raster products.\nThe period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000.\n\u2022\tCLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK.\n\u2022\tThe EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI.\n\u2022\tIntegrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution.\n\u2022\tData dissemination policy was unclear.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1986, "tend": 2001, "abstract": "CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey", "publicationDate": "2019-06-04" }, { "sdiUuid": "fc018b57-05ba-4692-b96b-809983a3a983", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fc018b57-05ba-4692-b96b-809983a3a983.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Assessment of contamination status using CHASE+ excluding mercury (Hg) and PBDEs, Mar. 2019", "restApi": null, "label": 1220, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc018b57-05ba-4692-b96b-809983a3a983", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_20_km_chase-exclhgpbdes_p_2009-2016_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20km", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 \u00d7 20 km2 in coastal waters and 100 \u00d7 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification \u2014 the 'one-out, all-out' principle.\nBased on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids.\nMore information can be found in the report \"Contaminants in Europe's seas\" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2016, "abstract": "This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices \u2018water\u2019, \u2018sediment\u2019 and \u2018biota\u2019 and indicators of \u2018biological effects\u2019, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as \u2018non-problem areas\u2019 and PAmoderate, PApoor and PAbad are recognised as \u2018problem areas\u2019. This is the assessment made excluding concentrations of mercury (Hg) and polybrominated diphenyl ethers (PBDEs)\nThe overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (\u2019Iceland Sea\u2019) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included.\nThis dataset underpins the findings and cartographic representations published in the report \"Contaminants in Europe's Seas\" (EEA, 2019).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea", "publicationDate": "2019-06-04" }, { "sdiUuid": "9b099df4-16be-4937-a76d-e52616341961", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9b099df4-16be-4937-a76d-e52616341961.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European Soil Database (ESDB) - version 2.0, Sep. 2001", "restApi": null, "label": 1221, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006.\n Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9b099df4-16be-4937-a76d-e52616341961", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_v_3035_1_mio_esdb_1980-1996_rev2", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDBv2/fr_intro.htm", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Soil Geographical Database of Eurasia at Scale 1:1,000,000 is part of the European Soil Informaton System (EUSIS). It is the resulting product of a collaborative project involving all the European Union and neighbouring countries. It is a simplified representation of the diversity and spatial variability of the soil coverage. The methodology used to differentiate and name the main soil types is based on the terminology of the F.A.O. legend for the Soil Map of the World at Scale 1:5,000,000. This terminology has been refined and adapted to take account of the specificities of the landscapes in Europa. It is itself founded on the distinction of the main pedogenetic processes leading to soil differentiation: brunification, lessivage, podzolisation, hydromorphy, etc.\n\nThe database contains a list of Soil Typological Units (STU). Besides the soil names they represent, these units are described by variables (attributes) specifying the nature and properties of the soils: for example the texture, the water regime, the stoniness, etc. The geographical representation was chosen at a scale corresponding to the 1:1,000,000. At this scale, it is not feasible to delineate the STUs. Therefore they are grouped into Soil Mapping Units (SMU) to form soil associations and to illustrate the functioning of pedological systems within the landscapes.\n\nHarmonisation of the soil data from the member countries is based on a dictionary giving the definition for each occurrence of the variables. Considering the scale, the precision of the variables is weak. Furthermore these variables were estimated over large areas by expert judgement rather than measured on local soil samples. This expertise results from synthesis and generalisation tasks of national or regional maps published at more detailed scales, for example 1:50,000 or 1:25,000 scales. Delineation of the Soil Mapping Units is also the result of expertise and experience. Heterogeneity can be considerable in European regions. The spatial variability of soils is very important and is difficult to express at global levels of precision. Quality indices of the information (purity and confidence level) are included with the data in order to guide usage.\n\nThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "organic carbon|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Soil Organic Carbon Estimates in topsoil (5 arcmin), Mar. 2012", "restApi": null, "label": 1222, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\n The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n R. Hiederer, M. K\u00f6chy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_4326_5_arcmin_org-c-top_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0833333333deg", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "RST", "sdiElon": null, "lineage": "Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. K\u00f6chy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\n\n\t\t\tThis dataset contains the organic carbon density (t ha-1) for the topsoil (0 \u2013 30cm) from the amended HWSD.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "7a9764ac-c2b4-4953-9ef0-969d621d4d9b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7a9764ac-c2b4-4953-9ef0-969d621d4d9b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "arsenic|concentration|heavy metal|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Arsenic (As) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1223, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a9764ac-c2b4-4953-9ef0-969d621d4d9b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-as_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Maps of estimated total arsenic concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "830a4b29-388f-4406-ae8c-8ffcc8212041", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/830a4b29-388f-4406-ae8c-8ffcc8212041.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "concentration|heavy metal|mercury|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Mercury (Hg) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1224, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/830a4b29-388f-4406-ae8c-8ffcc8212041", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-hg_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Maps of estimated total mercury concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "a0187284-86da-4d48-9c68-57fbbd62cc32", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0187284-86da-4d48-9c68-57fbbd62cc32.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "organic carbon|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Soil Organic Carbon Estimates in topsoil (30 arcsec), Mar. 2012", "restApi": null, "label": 1225, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\n The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n R. Hiederer, M. K\u00f6chy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0187284-86da-4d48-9c68-57fbbd62cc32", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_4326_30_arcsec_org-c-top_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.00833333333deg", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. K\u00f6chy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]\n\t\t\t\t \n\t\t\t\t The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\n\n\t\t\tThis dataset contains the organic carbon density (t ha-1) for the topsoil (30 - 100cm) from the amended HWSD.\n\n\t\t\tThe original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "7e091972-c587-4cd7-b01e-7fd0e7aecf93", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e091972-c587-4cd7-b01e-7fd0e7aecf93.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "concentration|heavy metal|nickel|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Nickel (Ni) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1226, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e091972-c587-4cd7-b01e-7fd0e7aecf93", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-ni_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Maps of estimated total nickel concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "2738bb1f-6b50-47e9-aba9-50157cb7228f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2738bb1f-6b50-47e9-aba9-50157cb7228f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "catchment|drainage system|hydrographic network|landscape alteration|water body", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EU-Hydro Integrated Database (vector), Apr. 2016", "restApi": null, "label": 1227, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/integrated-eu-hydro-database-hydrographic-and-drainage-database/view", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2738bb1f-6b50-47e9-aba9-50157cb7228f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_50_k_hydrocl_2006-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:50000", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Space imagery SP05 (resolution 2.5 m) and SP06 (resolution 2.5 m), space imagery IMAGE2009 (resolution 20 m), EEA member countries WFD reporting data on water bodies: for Turkey (EEA member), Albania, Bosnia-Herzegovina, FYROM, Montenegro, Kosovo and Serbia (all EEA cooperating countries) no spatial data for any category of water bodies was available, European Catchments and Rivers Network System (ECRINS); ancillary data: European Lakes and Reservoirs database (Eldred), Russian topographic maps.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes.\n\nThe production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Hydrography|Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "dafcec7e-b3bb-4583-a6c7-e0b8ade20553", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dafcec7e-b3bb-4583-a6c7-e0b8ade20553.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil erodibility (K-Factor), May 2011", "restApi": null, "label": 1228, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data provided has been prepared for use by internal research activities in the Land Management and Natural Hazards Unit of the Institute for Environment & Sustainability, JRC Ispra. The data produced in 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign and are made available for research and development purposes.\n The data were developed for research purposes in the SOIL Action of the Joint Research Centre. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above .\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos, P., Meusburger, K., Alewell, C., Montanarella, L. Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, Volume 30, April 2012, Pages 143-145, doi:10.1016/j.envsoft.2011.11.002\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dafcec7e-b3bb-4583-a6c7-e0b8ade20553", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_10_km_esdb-k-factor_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/library/themes/erosion/Erodibility/ and to Panagos, P., Meusburger, K., Alewell, C., Montanarella, L., Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, Volume 30, April 2012, Pages 143-145, doi:10.1016/j.envsoft.2011.11.002 [http://www.sciencedirect.com/science/article/pii/S1364815211002465].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "One key parameter for soil erosion modelling is the soil erodibility, expressed as the K- factor in the commonly used soil erosion model USLE (Universal Soil Loss Equation). The K-factor is related to crucial soil factors triggering erosion (organic matter content, soil texture, soil structure, permeability). We calculated soil erodibility using measured soil data, collected during the 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign across the member states of the European Union. The estimation method of soil erodibility is based on the LUCAS point data. Since the density of points has a variety, we have performed a first assessment of Uncertainty based on the number of points in the 10km Grid Cell (dataset called uncertainty.tif available in the same folder as k-factor).\n\t\t\t\n\t\t\tSoil erodibility is expressed in [(t ha h)/(ha MJ mm)].\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "68564428-c531-4e58-b170-c8286469f835", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/68564428-c531-4e58-b170-c8286469f835.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "alkali soil|soil|soil salination|soil salinity", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Saline and Sodic Soils in the European Union, Jan. 2008", "restApi": null, "label": 1229, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data of the \"Map of Saline and Sodic Soils in the EU\" are made available for research purposes only and not for any other activity.\n The data of the \"Map of Saline and Sodic Soils in the EU\" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n \"Map of Saline and Sodic Soils in the EU\", Gergely Toth, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68564428-c531-4e58-b170-c8286469f835", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_v_3035_1_mio_esdb-salinisation_1974-2004", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Refer to the document documentation/salinisation_methodology.pdf.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1974, "tend": 2004, "abstract": "The Saline and Sodic Soils Map shows the area distribution of saline, sodic and potentially salt affected areas within the European Union. The accuracy of input input data only allows the designation of salt affected areas with a limited level of reliability (e.g. < 50 or > 50% of the area); therefore the results represented in the map should only be used for orientating purposes.\n\t\t\t\n\t\t\tTwo major data sources are available to delineate areas at risk of salt accumulation in Europe: The European Soil Database (ESDB, 2004) and the map of salt affected soils in Europe compiled by Szabolcs (1974). Szabolcs\u2019 map was of pressing importance in the 1970s because the salinity and alkalinity of soils hindered the satisfactory agricultural utilisation of lands in many regions.\n\nTo delineate an updated map of salt affected soils in Europe, items from the two databases were selected that have characteristics of salt affected or potentially salt effected soils. Potentially salt affected refers to soils that are at present not or to a very low degree saline or alkaline, but where human intervention (irrigation) may cause their considerable salinisation and/or alkanisation/sodification (Szabolcs, 1974).\n\nThe information on salinity and alkalinity, available directly or through pedotransfer rules in the ESDB, is described in detail by Baruth et al. (2006). In the WRB (World Reference Base) soil names that give information about salinity are Solonchaks, \"salic\" soils, or \"petrosalic\" soils. \n\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "20d94142-253b-467d-82dc-0bf13fba7e7e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20d94142-253b-467d-82dc-0bf13fba7e7e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "concentration|heavy metal|soil|zinc", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Zinc (Zn) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1230, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20d94142-253b-467d-82dc-0bf13fba7e7e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-zn_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1997, "tend": 2007, "abstract": "Maps of estimated total zinc concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "fc54012e-439f-4009-94fc-328a1cf16812", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fc54012e-439f-4009-94fc-328a1cf16812.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "pH-value|soil|soil acidification", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Soil pH in Europe, Dec. 2009", "restApi": null, "label": 1231, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n 1. The data of the \"Map of Soil pH in Europe\" are made available for research purposes only and not for any other activity.\n 2. The data of the \"Map of Soil pH in Europe\" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of data available at the European Soil Data Centre (ESDAC). The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n \"Map of Soil pH in Europe\", Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission \u2013 Joint Research Centre, 2010", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc54012e-439f-4009-94fc-328a1cf16812", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_esdb-ph_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/library/data/ph/ and to B\u00f6hner, J., Blaschke, T., Montanarella, L. [Eds.] (2008): SAGA \u2013 Seconds Out. Hamburger Beitr\u00e4ge zur Physischen Geographie und Landschafts\u00f6kologie, Vol.19, 113pp. [http://ignum.dl.sourceforge.net/project/saga-gis/SAGA%20-%20Documentation/HBPL19/hbpl19_10.pdf].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "The JRC created a quantitative map of estimated soil pH values across Europe from a compilation of 12,333 soil pH measurements from 11 different sources, and using a geo-statistical framework based on Regression-Kriging. Fifty-four (54) auxiliary variables in the form of raster maps at 1km resolution were used to explain the differences in the distribution of soil pHCaCl2 and the kriged map of the residuals from the regression model was added. The goodness of fit of the regression model was satisfactory (R2adj = 0.43) and its residuals follow a Gaussian distribution. The lowest values correspond to the soils developed on acid rock (granites, quartzite\u2019s, sandstones, etc), while the higher values are related to the presence of calcareous sediments and basic rocks. The validation of the model shows that the model is quite accurate (R2adj = 0.56). This shows the validity of Regression-Kriging in the estimation of the distribution of soil properties when a large and adequately documented number of soil measurements are available.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "87f24895-1ad9-478a-ad1c-c6c8468741b4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/87f24895-1ad9-478a-ad1c-c6c8468741b4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "concentration|heavy metal|lead|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Lead (Pb) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1232, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87f24895-1ad9-478a-ad1c-c6c8468741b4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-pb_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1997, "tend": 2007, "abstract": "Maps of estimated total lead concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "977c9f73-f532-405a-bb4f-a44d6d28a820", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/977c9f73-f532-405a-bb4f-a44d6d28a820.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil|soil compaction", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natural susceptibility to compaction for EU27, Mar. 2008", "restApi": null, "label": 1233, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data of the \"Map of Natural Susceptibility of Soils to Compaction\" are made available for research purposes only and not for any other activity.\n The data of the \"Map of Natural Susceptibility of Soils to Compaction\" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n \"Map for Europe of Natural Susceptibility of Soils to Compaction\", Beata Houkova and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008\n\nReference of source :\n\"Map for Europe of Natural Susceptibility of Soils to Compaction\", Beata Houkov and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/977c9f73-f532-405a-bb4f-a44d6d28a820", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_v_3035_1_mio_esdb-comp-susc-eu27_1974-2004", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Refer to the document documentation/Report_Map_of_Natural_Susceptibility_Soils_to_Compaction_v1.pdf", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2004, "abstract": "This map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil\u2019s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted.\n\nThe map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute \"Evaluation\" in the shapefile):\n\n 0 - no soil. This represents water bodies, glaciers and rock outcrops\n 1 - low susceptibility to compaction\n 2. - medium susceptibility to compaction\n 3. - high susceptibility to compaction\n 4. - very high susceptibility to compaction\n 9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh.\n\n\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "54dd0ea0-ea04-4fc3-9c7b-c576eee287dd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/54dd0ea0-ea04-4fc3-9c7b-c576eee287dd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "organic carbon|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Soil Organic Carbon Estimates in subsoil (5 arcmin), Mar. 2012", "restApi": null, "label": 1234, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\n The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n R. Hiederer, M. K\u00f6chy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54dd0ea0-ea04-4fc3-9c7b-c576eee287dd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_4326_5_arcmin_org-c-sub_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.0833333333deg", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "RST", "sdiElon": null, "lineage": "Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. K\u00f6chy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\n\n\t\t\tThis dataset contains the organic carbon density (t ha-1) for the subsoil (30 - 100cm) from the amended HWSD.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "6e63520a-598a-4051-ba52-a995d5080021", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e63520a-598a-4051-ba52-a995d5080021.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "cadmium|concentration|heavy metal|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Cadmium (Cd) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1235, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e63520a-598a-4051-ba52-a995d5080021", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-cd_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1997, "tend": 2007, "abstract": "Maps of estimated total cadmium concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "8f77324b-3ad9-4f2d-98a3-149c1f799f11", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f77324b-3ad9-4f2d-98a3-149c1f799f11.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "organic carbon|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Organic carbon in topsoils (OCTOP) in Europe, Jan. 2003", "restApi": null, "label": 1236, "associatedResources": null, "sdiUseLimitation": "Notification Regarding Use of Data\n\n The data provided has been prepared for use by internal research activities in the Land Management Unit and the Soil and Waste Unit, of the Institute for Environment & Sustainability, JRC Ispra.\n The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above.\n The user also agrees to:\n Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). \n\nReference of source (Citations)\nReferences which should be cited whenever you use the OCTOP data:\n\n Jones, R.J.A., Hiederer, R., Rusco, E., Loveland, P.J. and Montanarella, L. (2004). The map of organic carbon in topsoils in Europe, Version 1.2, September 2003: Explanation of Special Publication Ispra 2004 No.72 (S.P.I.04.72). European Soil Bureau Research Report No.17, EUR 21209 EN, 26pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg.\n Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671.\n Panagos, P., Van Liedekerke, M., Montanarella, L., Jones, R.J.A, Soil organic carbon content indicators and web mapping applications, Environmental Modelling & Software, Volume 23, Issue 9, September 2008, Pages 1207-1209.\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f77324b-3ad9-4f2d-98a3-149c1f799f11", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_esdb-octop_2003", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/octop/octop_data.html and to \n* Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671.\n* Robert J.A. Jones, Roland Hiederer,Ezio Rusco, Peter J. Loveland and Luca Montanarella European Soil Bureau Research Report No.15, EUR 21209, 40pp. Office for Official Publications of the European Communities, Luxembourg. [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/other/OCtopMapBkLet76.pdf].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2003, "tend": 2003, "abstract": "Soil organic carbon, the major component of soil organic matter, is extremely important in all soil processes. Organic material in the soil is essentially derived from residual plant and animal material, synthesized by microbes and decomposed under the influence of temperature, moisture and ambient soil conditions. The JRC has developed and makes available a map of Soil Organic Carbon content (%) in the surface horizon of soils in Europe.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "aa596832-772e-48e0-85cf-4cc80be75962", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa596832-772e-48e0-85cf-4cc80be75962.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "concentration|heavy metal|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Heavy metals in topsoils, Sep. 2007", "restApi": null, "label": 1237, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa596832-772e-48e0-85cf-4cc80be75962", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-heavy-metals_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668]", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1997, "tend": 2007, "abstract": "Maps of estimated total heavy metal concentrations of eight critical heavy metals (arsenic, cadmium, chromium, copper, mercury, nickel, lead and zinc) in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\nHeavy metal contents are expressed in mg kg-1.\n\t\t\t\nThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "c0865d05-95e7-474e-a721-f2e3b2a27f94", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c0865d05-95e7-474e-a721-f2e3b2a27f94.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "concentration|copper|heavy metal|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Copper (Cu) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1238, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0865d05-95e7-474e-a721-f2e3b2a27f94", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-cu_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1997, "tend": 2007, "abstract": "Maps of estimated total copper concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "b6bc1da3-e30a-40f8-a930-9003b7fa338c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b6bc1da3-e30a-40f8-a930-9003b7fa338c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "chromium|concentration|heavy metal|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Chromium (Cr) concentration in topsoils, Sep. 2007", "restApi": null, "label": 1239, "associatedResources": null, "sdiUseLimitation": "Please cite as:\nReference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b6bc1da3-e30a-40f8-a930-9003b7fa338c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_5_km_esdb-hm-cr_1997-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "5000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1997, "tend": 2007, "abstract": "Maps of estimated total chromium concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. \n\t\t\t\n\t\t\tHeavy metal contents are expressed in mg kg-1.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "720d6f44-2790-4c2c-acb1-50fd2f839c31", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/720d6f44-2790-4c2c-acb1-50fd2f839c31.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil|soil compaction", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natural susceptibility to compaction for Eurasia, Mar. 2008", "restApi": null, "label": 1240, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data of the \"Map of Natural Susceptibility of Soils to Compaction\" are made available for research purposes only and not for any other activity.\n The data of the \"Map of Natural Susceptibility of Soils to Compaction\" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above.\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\n \"Map for Europe of Natural Susceptibility of Soils to Compaction\", Beata Houkova and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008\n\nReference of source :\n\"Map for Europe of Natural Susceptibility of Soils to Compaction\", Beata Houkov and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/720d6f44-2790-4c2c-acb1-50fd2f839c31", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_v_3035_1_mio_esdb-comp-susc-eurasia_1974-2004", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Refer to the document documentation/Report_Map_of_Natural_Susceptibility_Soils_to_Compaction_v1.pdf", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2004, "abstract": "This map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil\u2019s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted.\n\nThe map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute \"Evaluation\" in the shapefile):\n\n 0 - no soil. This represents water bodies, glaciers and rock outcrops\n 1 - low susceptibility to compaction\n 2. - medium susceptibility to compaction\n 3. - high susceptibility to compaction\n 4. - very high susceptibility to compaction\n 9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh.\n\n\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "c872cc3a-f73d-447c-8140-be183811801d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c872cc3a-f73d-447c-8140-be183811801d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "organic carbon|soil", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Soil Organic Carbon Estimates in subsoil (30 arcsec), Mar. 2012", "restApi": null, "label": 1241, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra.\n The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.\n All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n R. Hiederer, M. K\u00f6chy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c872cc3a-f73d-447c-8140-be183811801d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_4326_30_arcsec_org-c-sub_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.00833333333deg", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. K\u00f6chy 2012 \u2013 79 pp. \u2013 EUR 25225 EN \u2013 EUR Scientific and Technical Research series \u2013 ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]\n\t\t\t\t \n\t\t\t\t The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.\n\n\t\t\tThis dataset contains the organic carbon density (t ha-1) for the subsoil (30 - 100cm) from the amended HWSD.\n\n\t\t\tThe original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "4dccd960-23ff-42ae-aab5-d35bfcf0c37b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4dccd960-23ff-42ae-aab5-d35bfcf0c37b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "soil|soil conservation|soil erosion", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Pan-European Soil Erosion Risk Assessment (PESERA), Jan. 2004", "restApi": null, "label": 1242, "associatedResources": null, "sdiUseLimitation": "Notification regarding these data:\n\n These data provided have been prepared by the Partners in the The PESERA Project (Contract No. QLK5-CT- 1999-01323) in collaboration with the Institute for Environment & Sustainability, JRC Ispra.\n These data are the main results from the The PESERA Project and are made available for research purposes in the European Communities and collaborating organisations only and not for any other activity.\n The Pesera Partners and the DG-JRC do not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The DG JRC agrees to provide these data, free of charge, on behalf of The PESERA Project, but the DG-JRC is not bound to justify the content and values contained therein.\n The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above\n The user agrees to:\n a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;\n b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).\n\nReference of source (Citations) :\n\n Kirkby, M.J., Jones, R.J.A., Irvine, B., Gobin, A, Govers, G., Cerdan, O., Van Rompaey, A.J.J., Le Bissonnais, Y., Daroussin, J., King, D., Montanarella, L., Grimm, M., Vieillefont, V., Puigdefabregas, J., Boer, M., Kosmas, C., Yassoglou, N., Tsara, M., Mantel, S., Van Lynden, G.J. and Huting, J. (2004). Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73). European Soil Bureau Research Report No.16, EUR 21176, 18pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg.\n S.P.I.04.73. (2004). The PESERA Map: Pan-European Soil Erosion Risk Assessment. Special Publication Ispra 2004 No.73, map in ISO B1 format. Office for Official Publications of the European Communities\n Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://esdac.jrc.ec.europa.eu", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4dccd960-23ff-42ae-aab5-d35bfcf0c37b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_1_km_esdb-pesera_2003", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/pesera/pesera_data.html and to \n* \"Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73).\"\n* Kirkby, M.J., Jones, R.J.A., Irvine, B., Gobin, A, Govers, G., Cerdan, O., Van Rompaey, A.J.J., Le Bissonnais, Y., Daroussin, J., King, D., Montanarella, L., Grimm, M., Vieillefont, V., Puigdefabregas, J., Boer, M., Kosmas, C., Yassoglou, N., Tsara, M., Mantel, S., Van Lynden, G.J. and Huting, J.(2004). European Soil Bureau Research Report No.16, EUR 21176, 18pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg.\n[http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/esb_rr/n16_ThePeseraMapBkLet52.pdf]\n[http://eusoils.jrc.ec.europa.eu/ESDB_Archive/pesera/docs/EROSIONA4.pdf].", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2003, "tend": 2003, "abstract": "Soil erosion is a natural process, occurring over geological time, and indeed it is a process that is essential for soil formation in the first place. With respect to soil degradation, most concerns about erosion are related to accelerated erosion, where the natural rate has been significantly increased mostly by human activity. Soil erosion by water is a widespread problem throughout Europe. PESERA (Pan European Soil Erosion Risk Assessment) has been created in order to design a model and to handle spatial and temporal data of variable quality and detail and to enable the impacts of agricultural policy, land use and climate changes to be assessed and monitored across Europe. The Pan-European Soil Erosion Risk Assessment - PESERA - uses a process-based and spatially distributed model to quantify soil erosion by water and assess its risk across Europe.\n\t\t\t\n\t\t\tThis metadata record is adapted from the orginal one received from JRC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Soil", "publicationDate": "2019-06-04" }, { "sdiUuid": "ffdf7094-0d4a-497d-9b78-7545cb03da25", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ffdf7094-0d4a-497d-9b78-7545cb03da25.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Administrative units 2013 at country level, Nov. 2015", "restApi": null, "label": 1243, "associatedResources": null, "sdiUseLimitation": "Generalised dataset derived from EuroGeographics and UN-FAO GI data. The dataset may be used and distributed if: The source (EuroGeographics and UN-FAO) is acknowledged, AND The data is not used for commercial purpose, AND The original geometry is generalised to the equivalent of a scale of 1:1.000.000 or smaller. The source, copyright and branding will be acknowledged if the geographic data are used in Commission products. The acknowledgement will be displayed as \u201c@EuroGeographics\u201d on the map or in an acknowledgement text. The size of the text on the map will be proportional to the size of the map. The maximum length of copyright texts on electronic maps (web maps or electronic applications) is 20 characters. No copyright text will be applied for online icon maps with less than 150 x 150 pixels.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ffdf7094-0d4a-497d-9b78-7545cb03da25", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_100_k_gisco-admin-boundaries_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2013, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. Each scale level in the CNTR_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.\nIn this version the Territory of Ashmore and Cartier Islands has been merged with Australia and the AC country code removed.", "crs": "EPSG:4258", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. \nThis metadata only refers to the full dataset at 100k and shall only be used internally by the EEA. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (CNTR_2013.xml) is provided together with the dataset.\nThe public dataset is available for download on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries#countries13.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|World", "publicationDate": "2019-06-04" }, { "sdiUuid": "28370b9b-1c91-4b29-80a2-fbf2d32c8881", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28370b9b-1c91-4b29-80a2-fbf2d32c8881.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "habitat|land use|landscape alteration|natural area|natural areas protection|protected area|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 - 2012 (vector), Nov. 2015", "restApi": null, "label": 1244, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28370b9b-1c91-4b29-80a2-fbf2d32c8881", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_n2k_2010-2014", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Semi-automatic classification of 2.5m VHR2 SPOT-5 HRG satellite data from the DAP_MG2b_01 dataset (for the time period 2004-2008) and 1.5m VHR2 SPOT-6, 2.0m VHR2 Pl\u00e9iades and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (for the time period 2010-2014) with subsequently computer-assisted visual refinement. The Minimum Mapping Unit (MMU) is 0.5 ha. The Minimum Mapping Width is 10m. The Positional Accuracy is less than 5 m (according to geo-location accuracy of satellite imagery delivered by ESA: less than 5m RMSE). Accuracy Assessment approach: Stratified Random Point Sampling. Interpretation of sampling points has been performed on the best available reference data. The area-corrected Overall Accuracy is above 85%.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natura 2000 (an EU-wide network of nature protection areas established under the 1992 Habitats Directive) is the centrepiece of EU nature & biodiversity policy. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats.\n\nA selection of Natura 2000 grassland-rich sites (5 grassland habitats types 6210, 6240, 6250, 6510 and 6520, including a 2km buffer and covering approx. 160.000 km2) sites was mapped in order to assess their actual area, their condition and their development over time. Land Cover/Land Use (LC/LU) classification was tailored to the needs of biodiversity monitoring in a buffer zone of selected Natura 2000 sites. LC/LU information is extracted from VHR satellite data and other available data in a buffer zone of selected N2K sites for supporting biodiversity monitoring and mapping and assessment of ecosystems and their services. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover (CLC). The Minimum Mapping Unit (MMU) is 0.5 ha; the Minimum Mapping Width (MMW) is 10 m.\n\nThe production of the Natura 2000 updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Protected sites|EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "9d131e52-0ce9-41a1-9a96-0310eb97c415", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9d131e52-0ce9-41a1-9a96-0310eb97c415.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Classified Change 2012-2015 (raster 20m), Apr. 2018", "restApi": null, "label": 1245, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9d131e52-0ce9-41a1-9a96-0310eb97c415", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imcc_2011-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "f0f9610c-8446-45ed-88bd-eaa137bef5ab", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f0f9610c-8446-45ed-88bd-eaa137bef5ab.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "bank (land)|filtration|freshwater ecosystem|land use|landscape alteration|riparian zone", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Riparian Zones Delineation (vector), Aug. 2015", "restApi": null, "label": 1246, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0f9610c-8446-45ed-88bd-eaa137bef5ab", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_rzd_2011-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The calculation is based on the stratification of different hydrological and geomorphological parameters. These parameters are derived from the input datasets and are weighted differently dependent on their significance and quality. The resulting membership degree of each input parameter is finally combined into a single membership degree expressing the likelihood of an area to be part of a potential riparian zone. Qualitative assessment: due to the absence of European-wide harmonized reference data on the location and characteristics of riparian zones in sufficient thematic detail, a qualitative expert assessment approach has been chosen for the riparian zones layer, making use of the unique expertise of the freelance expert consultants who are available to the project team and who are recognized among the most renowned European experts in this domain, being also the authors of the most relevant scientific publications in the recent years. The experts conducted an in-depth review of the riparian zones delineation modelling approach and the associated relevant algorithms and membership functions, which were checked and approved by them. The experts provided also support and advise on the correct model parameterization and final modelling of the riparian zones products, such that the final results are considered properly quality-assessed and validated by this scientific expert-assessment approach.\nMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services.\n\nThe Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive.\n\nThe delineation of Riparian Zones is based on a complex spatial modelling approach, making use of the Riparian Zones\u2019 LC/LU classification, large-scale earth observation data and a range of additional geo-data sources, as well as derived spatially explicit indicators. Inputs are regionally parameterised and weighted according to relative importance in a fuzzy modelling approach. The zones provide a majority of riparian functions with a focus on ecosystem services.\n\nThe production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "d6152a22-cc3f-4353-8989-14528c0a713d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6152a22-cc3f-4353-8989-14528c0a713d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Degree 2015 (raster 100m), Mar. 2018", "restApi": null, "label": 1247, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6152a22-cc3f-4353-8989-14528c0a713d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_100_m_imd_2014-2016", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "62ab826c-9411-4dbf-b516-beb1db681830", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62ab826c-9411-4dbf-b516-beb1db681830.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Classified Change 2006-2009 (raster 20m), Apr. 2018", "restApi": null, "label": 1248, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62ab826c-9411-4dbf-b516-beb1db681830", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imcc_2006-2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "0b699aed-e477-437f-b8b2-643f7793fb5d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b699aed-e477-437f-b8b2-643f7793fb5d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "habitat|land use|landscape alteration|natural area|natural areas protection|protected area|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natura 2000 - 2006 (vector), Nov. 2015", "restApi": null, "label": 1249, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b699aed-e477-437f-b8b2-643f7793fb5d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_v_3035_10_m_n2k_2004-2008", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Semi-automatic classification of 2.5m VHR2 SPOT-5 HRG satellite data from the DAP_MG2b_01 dataset (for the time period 2004-2008) and 1.5m VHR2 SPOT-6, 2.0m VHR2 Pl\u00e9iades and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (for the time period 2010-2014) with subsequently computer-assisted visual refinement.\nMinimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2004, "tend": 2008, "abstract": "Natura 2000 (an EU-wide network of nature protection areas established under the 1992 Habitats Directive) is the centrepiece of EU nature & biodiversity policy. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats.\n\nA selection of Natura 2000 grassland-rich sites (5 grassland habitats types 6210, 6240, 6250, 6510 and 6520, including a 2km buffer and covering approx. 160.000 km2) sites was mapped in order to assess their actual area, their condition and their development over time. Land Cover/Land Use (LC/LU) classification was tailored to the needs of biodiversity monitoring in a buffer zone of selected Natura 2000 sites. LC/LU information is extracted from VHR satellite data and other available data in a buffer zone of selected N2K sites for supporting biodiversity monitoring and mapping and assessment of ecosystems and their services. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover (CLC). The Minimum Mapping Unit (MMU) is 0.5 ha; the Minimum Mapping Width (MMW) is 10 m.\n\nThe production of the Natura 2000 updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|Protected sites|EU27", "publicationDate": "2019-06-04" }, { "sdiUuid": "37a6a5d1-b098-48d7-9969-81584ff0e1c1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "ASTER Global Digital Elevation Model subset over Europe (ASTER-GDEM, resolution 25 m)", "restApi": null, "label": 1250, "associatedResources": null, "sdiUseLimitation": "The copyright notice mentioned at http://www.gdem.aster.ersdac.or.jp/faq.jsp must be displayed when using the data.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/37a6a5d1-b098-48d7-9969-81584ff0e1c1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_r_3035_25_m_aster-gdem_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "25m", "contactOrganisation": "European Commission, Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This layer is a subset of the ASTER-GDEM Version 2 data set available at www.gdem.aster.ersdac.or.jp. The data have been downloaded, assembled and re-projected into the ETRS89/ETRS-LAEA 25m INSPIRE compatible grid by JRC. The resampling was done applting a hermite spline interpolation technique.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2010, "abstract": "This dataset is a subset of the ASTER-GDEM Version 2 data set available at www.gdem.aster.ersdac.or.jp. The data have been downloaded, assembled and re-projected into the ETRS89/ETRS-LAEA 25m INSPIRE compatible grid by JRC. The resampling was done applying a hermite spline interpolation technique.\n\nCopyright notice: ASTER GDEM\nCopyright (c) 2009 - 2011 Earth Remote Sensing Data Analysis Center (ERSDAC) All rights reserved.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Elevation|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "bb32d49d-71ce-4a89-884a-e7e6fb118333", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb32d49d-71ce-4a89-884a-e7e6fb118333.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Resolution Layer: Imperviousness Classified Change 2009-2012 (raster 20m), Apr. 2018", "restApi": null, "label": 1251, "associatedResources": null, "sdiUseLimitation": "Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.\n\nFree, full and open access to this data set is made on the conditions that:\n\n1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.\n\n2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.\n\n3. Where that data or information has been adapted or modified, the user shall clearly state this.\n\n4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced \u201cwith funding by the European Union\u201d.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb32d49d-71ce-4a89-884a-e7e6fb118333", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "copernicus_r_3035_20_m_imcc_2008-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are:\n(i) Completeness,\n(ii) Logical Consistency,\n(iii) Thematic Accuracy,\n(iv) Temporal quality and\n(v) Usability.\nEach of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2013, "abstract": "The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover|EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "af23e943-253e-4681-a22d-9ba131cd48a9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af23e943-253e-4681-a22d-9ba131cd48a9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012", "restApi": null, "label": 1252, "associatedResources": null, "sdiUseLimitation": "This data set should be referred to as \"Countries, 2010 - European Commission, Eurostat/GISCO. Elaboration by EEA 2012.\"\n\nAn overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af23e943-253e-4681-a22d-9ba131cd48a9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_gisco-admin-boundaries-kosovo_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "+ Selection of the relevant commune features (ref. abstract) followed by agregation of the commune features in an unique polygon to form Kosovo under United Nations Security Council Resolution 1244/99 administrative boundary feature, both for 100K and 1M.\n\n+ Creation of the boundary line between the newly created Kosovo under United Nations Security Council Resolution 1244/99 feature and remaining commune features of Serbia, both for 100K and 1M.\n\n+ Split of Serbia feature with the boundary line, both for 100K and 1M.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset adds the delineation of a Kosovo under United Nations Security Council Resolution 1244/99 feature to the administrative units at country level from 2010 dataset provided by GISCO.\n\nThe country identifier (cntr_id) for the Kosovo under United Nations Security Council Resolution 1244/99 feature is set to 'XK' and its associated object_id to 999.\n\nUsers should pay attention to the existence of another feature with cntr_id set to 'XK' in Africa (associated object_id: 245).\n\nThe Kosovo under United Nations Security Council Resolution 1244/99 feature has been delineated using the boundaries of the following communes extracted from the administrative units at commune level from 2010 provided by GISCO:\n\ncomm_id\n\n---------\n\nRS01, RS02, RS03, RS04, RS05, RS06, RS07, RS08, RS09, RS10, RS11, RS12, RS13, RS14, RS15, RS16, RS17, RS18, RS19, RS20, RS21, RS22, RS23, RS24, RS25, RS26, RS27, RS28, RS29, RS30, RS31, RS32, RS33, RS34, RS35, RS36, RS37", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units", "publicationDate": "2019-06-04" }, { "sdiUuid": "10b2fdf5-83df-405d-8b2e-842faf54f407", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/10b2fdf5-83df-405d-8b2e-842faf54f407.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Administrative units 2010 at country level, Aug. 2012", "restApi": null, "label": 1253, "associatedResources": null, "sdiUseLimitation": "This data set should be referred to as &quot;Countries, 2010 - European Commission, Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10b2fdf5-83df-405d-8b2e-842faf54f407", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco-admin-boundaries_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the CNTR_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public data set (1M - 60M) is available for download at http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1\nThe full data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units", "publicationDate": "2019-06-04" }, { "sdiUuid": "b877e4b8-01d0-4d8e-9f9e-4cd255b25493", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b877e4b8-01d0-4d8e-9f9e-4cd255b25493.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|coast", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Coastlines and sea regions 2010, Aug. 2012", "restApi": null, "label": 1254, "associatedResources": null, "sdiUseLimitation": "The spatial data should be referred to as &quot;Coastlines 2010, European Commission - Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN) Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics, \u00a9 FAO (UN) Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics, \u00a9 FAO (UN) Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b877e4b8-01d0-4d8e-9f9e-4cd255b25493", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco-coastlines_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). These datasets were integrated in a common repository of geometry (including EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COAS_2010 dataset consists of 2 feature classes (regions and boundaries). Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set represents the coastlines of the world and is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units", "publicationDate": "2019-06-04" }, { "sdiUuid": "81197a77-db68-49c4-8678-1fdd2acc41dc", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81197a77-db68-49c4-8678-1fdd2acc41dc.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "sea", "sdiCentroidLon": null, "temporalCoverage": null, "title": "MSFD provisional dataset on sea regions and sub-regions - INTERNAL VERSION, Sep. 2013", "restApi": null, "label": 1255, "associatedResources": null, "sdiUseLimitation": "Strictly for internal use.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81197a77-db68-49c4-8678-1fdd2acc41dc", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_1_mio_msfd-sea-regions_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Draft dataset pending approval by Member States.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Draft version of the regions boundaries at sea to be used for the MSFD reporting. This dataset has not been approved by Member States.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Sea regions", "publicationDate": "2019-06-04" }, { "sdiUuid": "f1d0161c-7d28-4e50-97c1-8a2b4dd601e1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1d0161c-7d28-4e50-97c1-8a2b4dd601e1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Administrative units 2010 at country level (1:100k) including Kosovo (UNSCR 1244/99), Oct. 2012", "restApi": null, "label": 1256, "associatedResources": null, "sdiUseLimitation": "This data set should be referred to as \"Countries, 2010 - European Commission, Eurostat/GISCO. Elaboration by EEA 2012.\"\n\nAn overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1d0161c-7d28-4e50-97c1-8a2b4dd601e1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_gisco-admin-boundaries-kosovo_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "+ Selection of the relevant commune features (ref. abstract) followed by agregation of the commune features in an unique polygon to form Kosovo under United Nations Security Council Resolution 1244/99 administrative boundary feature, both for 100K and 1M.\n+ Creation of the boundary line between the newly created Kosovo under United Nations Security Council Resolution 1244/99 feature and remaining commune features of Serbia, both for 100K and 1M.\n+ Split of Serbia feature with the boundary line, both for 100K and 1M.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset adds the delineation of a Kosovo under United Nations Security Council Resolution 1244/99 feature to the administrative units at country level from 2010 dataset provided by GISCO.\n\nThe country identifier (cntr_id) for the Kosovo under United Nations Security Council Resolution 1244/99 feature is set to 'XK' and its associated object_id to 999.\n\nUsers should pay attention to the existence of another feature with cntr_id set to 'XK' in Africa (associated object_id: 245).\n\nThe Kosovo under United Nations Security Council Resolution 1244/99 feature has been delineated using the boundaries of the following communes extracted from the administrative units at commune level from 2010 provided by GISCO:\n\n comm_id\n---------\nRS01, RS02, RS03, RS04, RS05, RS06, RS07, RS08, RS09, RS10, RS11, RS12, RS13, RS14, RS15, RS16, RS17, RS18, RS19, RS20, RS21, RS22, RS23, RS24, RS25, RS26, RS27, RS28, RS29, RS30, RS31, RS32, RS33, RS34, RS35, RS36, RS37", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units", "publicationDate": "2019-06-04" }, { "sdiUuid": "16c57e11-9b6d-4250-bb38-1986690079e5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/16c57e11-9b6d-4250-bb38-1986690079e5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Exclusive Economic Zones (EEZ) of the world 2010, Aug. 2012", "restApi": null, "label": 1257, "associatedResources": null, "sdiUseLimitation": "The dataset should be referred to as &quot;Exclusive Economic Zones of the World, 2010, European Commission - Eurostat/GISCO&quot;. Access to dataset is restricted to the personnel of the European Commission and its contractors. Access to the dataset by the general public is not possible, due to intellectual property rights. Use is allowed only inside the Commission. The dataset can be used for scientific, educational or research purposes but should not be used for legal, commercial/economical (exploration of natural resources) or navigational purposes. This data set is not based on official sources. We encourage the use of the official Commission disclaimer on all publications (http://ec.europa.eu/geninfo/legal_notices_en.htm). The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Maritime boundaries: \u00a9 Flanders Marine Institute (VLIZ) Coastline: \u00a9 EuroGeographics, \u00a9 FAO (UN). Source: European Commission \u2013 Eurostat/GISCO French: Zones maritimes: \u00a9 Flanders Marine Institute (VLIZ) (translate: coastline): \u00a9 EuroGeographics, \u00a9 FAO (UN) Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Seegrenzen: \u00a9 Flanders Marine Institute (VLIZ) (translate: coastline): \u00a9 EuroGeographics, \u00a9 FAO (UN) Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16c57e11-9b6d-4250-bb38-1986690079e5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco-eez_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). These datasets were integrated in a common repository of geometry (including EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COAS_2010 dataset consists of 2 feature classes (regions and boundaries). Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Under the law of the sea, an exclusive economic zone (EEZ) is a sea zone over which a state has special rights over the exploration and use of marine resources. It stretches from the seaward edge of the state territorial sea out to 200 nautical miles from its coast. The data set has been derived from the World Maritime Boundaries v5.0 dataset from the Flanders Marine Institute (VLIZ) and integrated with the datasets &quot;Communes 2010 \u2013 European Commission, Eurostat/GISCO&quot;, &quot;Countries 2010, European Commission - Eurostat/GISCO&quot;, &quot;Coastlines 2010, European Commission - Eurostat/GISCO&quot;. The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units", "publicationDate": "2019-06-04" }, { "sdiUuid": "b4d44141-e5c0-4e23-b11e-d64c5087c413", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b4d44141-e5c0-4e23-b11e-d64c5087c413.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "GISCO - Communes 2010, Aug. 2012", "restApi": null, "label": 1258, "associatedResources": null, "sdiUseLimitation": "This data set should be referred to as &quot;Communes, 2010 - European Commission, Eurostat/GISCO&quot;. An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b4d44141-e5c0-4e23-b11e-d64c5087c413", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco-communes_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the geometry from EuroBoundary Map v5.0 (source EuroGeographics). This dataset was integrated in a common repository of geometry (including country and EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COMM_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each Commune in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c", "crs": null, "rodUrl": null, "tbegin": 2010, "tend": 2010, "abstract": "This data set shows pan European administrative boundaries down to commune level version 2010. Communes are equivalent to Local Administrative Units, level 2 (LAU2), except for GR (LAU1) and SI (so called LAU3). The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU 1, 2, respectively, moving from larger to smaller territorial units). The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the non-EU countries. The LAU classification is not covered by any legislative act. An introduction to the NUTS classification is available here: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction The data set is based on EuroBoundaryMap v. 5.0 from Eurogeographics. Geographical extent covers the European Union 27, EFTA countries, Croatia, Serbia (including Kosovo UNSCR 1244) Greenland, Moldova and Ukraine. The scale of the data set is 1:100 000. The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence.\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units", "publicationDate": "2019-06-04" }, { "sdiUuid": "1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|airport|artificial lake|coast|dam|data base|drainage water|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|hydrography|international watercourse|lake|maritime transport|national boundary|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|waterway", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroGlobalMap (individual countries) - version 10.0, Sep. 2017", "restApi": null, "label": 1259, "associatedResources": null, "sdiUseLimitation": "Small scale applications only, map scale 1:500.000 - 1: 2.000.000, not to be used for navigation.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_1_mio_egm-countries_1998-2016_rev10-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "PGeo|SHP", "sdiElon": null, "lineage": "See EGM_Lineage_v10.pdf under \"METADATA.zip\" provided with the dataset.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroGlobalMap is a topographic dataset that covers the EU, Andorra, Croatia, Faroe Islands, Georgia, Greenland, Iceland, Kosovo, Liechtenstein, North Macedonia, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. \nThematic layers: Administrative Boundaries, Water network, Transport Network, Settlements and Named Locations. \nThis metadata refers to the version 10 of EGM of individual countries. For more information about the data product specifications and changes with respect to the previous version of this dataset (EGM v9), please refer to the documents EGM_Specification_v10.pdf, EGM_UserGuide_v10.pdf and EGM_Changes_v10.pdf provided with the dataset (DOCUMENTS.zip).\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics for the full product is provided together with the dataset (\"EGM_v10_Metadata.xsl\" within the \"METADATA.zip\").", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Geographical names|Population distribution - demography|Statistical units|Transport networks|Andorra|EFTA4|EU28|Faeroe Islands|Gibraltar|Greenland|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican", "publicationDate": "2019-06-04" }, { "sdiUuid": "27812b75-404e-476e-8a21-07df0122d764", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/27812b75-404e-476e-8a21-07df0122d764.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary|airport|artificial lake|coast|dam|data base|drainage water|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|hydrography|international watercourse|lake|maritime transport|national boundary|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|waterway", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EuroGlobalMap (full European coverage) - version 10.0, Sep. 2017", "restApi": null, "label": 1260, "associatedResources": null, "sdiUseLimitation": "Small scale applications only, map scale 1:500.000 - 1: 2.000.000, not to be used for navigation.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27812b75-404e-476e-8a21-07df0122d764", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurogeographics_v_4258_1_mio_egm-europe_1998-2016_rev10-0", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "PGeo|SHP", "sdiElon": null, "lineage": "See EGM_Lineage_v10.pdf under \"METADATA.zip\" provided with the dataset.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "EuroGlobalMap is a topographic dataset that covers the EU, Andorra, Croatia, Faroe Islands, Georgia, Greenland, Iceland, Kosovo, Liechtenstein, North Macedonia, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. \nThematic layers: Administrative Boundaries, Water network, Transport Network, Settlements and Named Locations. \nThis metadata refers to the version 10 of EGM of full Europe. For more information about the data product specifications and changes with respect to the previous version of this dataset (EGM v9), please refer to the documents EGM_Specification_v10.pdf, EGM_UserGuide_v10.pdf and EGM_Changes_v10.pdf provided with the dataset (DOCUMENTS.zip).\nThis metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset (\"EGM_v10_Metadata.xsl\" within the \"METADATA.zip\")", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Geographical names|Population distribution - demography|Statistical units|Transport networks|Andorra|EFTA4|EU28|Faeroe Islands|Gibraltar|Greenland|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican", "publicationDate": "2019-06-04" }, { "sdiUuid": "e7ee273e-70b6-4bdc-8090-0ea2adaa7277", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e7ee273e-70b6-4bdc-8090-0ea2adaa7277.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural area", "sdiCentroidLon": null, "temporalCoverage": null, "title": "OSPAR marine protected areas, Oct. 2013", "restApi": null, "label": 1261, "associatedResources": null, "sdiUseLimitation": "Terms and conditions\nIf you have any queries, please contact JNCC Data Services, Joint Nature Conservation Committee, Monkstone House, Peterborough PE1 1JY, dave.chambers@jncc.gov.uk or telephone +44 (0)1733 - 866 882.\n \n1. Licence\nWe grant you a non-exclusive non-transferable licence to use, copy and adapt the data which is derived from Ordnance Survey data ('Data') in accordance with the terms of this licence agreement.\n \nYou may only use the Data for your own internal business purposes meaning for any purpose relating to a statutory, governmental or regulatory function and not for financial profit or gain. You may only use the Data for your own internal business purposes meaning for any purpose relating to a statutory, governmental or regulatory function and not for financial profit or gain. This licence is applicable until 31 March 2009, after which it will terminate.\n\nWe do not guarantee that the digital data is free of minor errors not materially affecting performance.\nJNCC do not guarantee that the digital data will be suitable for use with any GIS or any other computer software.\nTitle, copyright and all other proprietary rights in the digital data remain vested in the following organisations known as the 'country agencies':\n \n \tEnglish Nature - for all sites in England \n \tScottish Natural Heritage - sites in Scotland \n \tCountryside Council for Wales - sites in Wales \n \tEnvironment and Heritage Service - sites in Northern Ireland. \n \nJNCC are acting on behalf of all of the above agencies to provide a single service for the whole of the UK (OS licence number 100017955).\n \nIntellectual property rights in the Data are owned by the Crown and the aforementioned agencies. You shall not have any rights or interests in the Data other than as described in this licence.\n \nYou must ensure that you protect and do not interfere with any trade names and trade marks that are in or accompany the Data.\n\nAll copies of the Data in whatever form must contain the following acknowledgement: \n\n\"\u00a9 Crown Copyright. All rights reserved [year document is published]\".\n \nIf you print a map containing some of this digital data, the following statements should appear on the map in respect of SAC, SPA and Ramsar site boundary data for England, Scotland, Wales and Northern Ireland respectively:\n \n\"\u00a9 Crown copyright. All rights reserved. English Nature, 100017954 [year document is published].\" \n\"\u00a9 Crown copyright. All rights reserved. Scottish Natural Heritage, 100017908 [year document is published].\"\n\"\u00a9 Crown copyright. All rights reserved. Countryside Council for Wales, 100018813 [year document is published].\"\n[\u00a9 Hawlfraint y Goron. Cedwir pob hawl. Cyngor Cefn Gwlad Cymru, 100018813 (blwyddyn cyhoeddi'r ddogfen).]\n\"\u00a9 Crown copyright. All rights reserved. Environment and Heritage Service (Northern Ireland), [year document is published].\"\n \nMaps containing any of these digital datasets may not be published in hard copy or the internet without prior written permission from JNCC representing the interests of the country agencies.\n \n2. Restrictions\nYou must not sub-licence, lend, transfer or otherwise dispose of the Data or this licence or modify, alter, decompile, reverse engineer, or disassemble the Data.\n \nFurthermore, we both agree that Ordnance Survey shall benefit from the Contracts (Rights of Third Parties) Act 1999 so that Ordnance Survey can enforce its rights directly against you.\n \n3. Promises\nYOU ACKNOWLEDGE THAT THE DATA HAS NOT BEEN PREPARED TO MEET YOUR INDIVIDUAL REQUIREMENTS AND THEREFORE IT IS PROVIDED TO YOU ON AN 'AS IS' BASIS. IT IS YOUR RESPONSIBILITY TO ENSURE THAT THE DATA IS FIT FOR YOUR INTENDED USE. TO THE FULLEST EXTENT PERMITTED BY LAW WE EXCLUDE ANY CONDITIONS OR TERMS THAT MAY BE IMPLIED BY LAW.\n \nWE SHALL NOT IN ANY EVENT BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL LOSSES OR FOR LOSS OF DATA, LOSS OF PROFITS, LOSS OF OR INTERRUPTION TO BUSINESS WHETHER ARISING IN TORT (INCLUDING NEGLIGENCE) CONTRACT OR OTHERWISE. WE DO NOT ATTEMPT TO EXCLUDE ANY LIABILITY THAT CANNOT BE EXCLUDED. EXCEPTING THE ABOVE, OUR TOTAL AND AGGREGATE LIABILITY TO YOU IN CONTRACT, TORT (INCLUDING NEGLIGENCE) OR OTHERWISE WILL NOT AT ANY TIME EXCEED AN AMOUNT EQUAL TO ANY PURCHASE PRICE OR LICENCE FEE PAID TO JNCC.\n \n4. Terminate\nWe may terminate this licence at any time if any of the following events arises:\n \n \tYou breach any of the terms of this licence; \n \tYou become insolvent or bankrupt or cease to do business. \n \t\nIn the event of termination of this licence, you shall cease to use the Data and if we request, you shall immediately return the Data or destroy them and provide to us an affidavit or sworn statement from one of your executives confirming the same.\n \n5. Law\nThis will be governed by and construed in accordance with English law and both parties accept the exclusive jurisdiction of the English courts. If any part of this licence is held to be invalid, unenforceable, or illegal, we both agree that the remainder of the licence will stand.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e7ee273e-70b6-4bdc-8090-0ea2adaa7277", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ospar_v_3035_100_k_mpa_2005-2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Lineage provided with the dataset.\n------------\nOne of the tools that can be used to ensure the sustainable use and protection and conservation of marine biological diversity and its ecosystems is the implementation of Marine Protected Areas (MPAs). Within OSPAR, MPAs are understood as areas for which protective, conservation, restorative or precautionary measures have been instituted for the purpose of protecting and conserving species, habitats, ecosystems or ecological processes of the marine environment. The aims of the OSPAR network of MPAs are: * to protect, conserve and restore species, habitats and ecological processes which have been adversely affected by human activities; * to prevent degradation of, and damage to, species, habitats and ecological processes, following the precautionary principle; * to protect and conserve areas that best represent the range of species, habitats and ecological processes in the maritime area. Fuller details of the sites that Contracting Parties have reported to OSPAR are held in the OSPAR MPA database (http://www.ospar.org/html_documents/ospar/html/ospar_mpa-db_populated_2009-06-01.zip). Reporting of MPAs: MPAs selected by Contracting Parties as components of the OSPAR network can be reported using the OSPAR nomination database (Latest version: July 2008). Completed versions of the database should be sent to the OSPAR Secretariat and to the lead country, Germany (Mr Tim Packeiser - tim.packeiser@bfn-vilm.de). Contracting Parties should also complete the implementation reporting format for Recommendation 2003/3 when they submit reports of selected MPAs or develop management plans or management measures for sites within the network. It is recommended that any proposals for MPAs in areas outside national jurisdiction should be submitted in the first instance in paper format using the following nomination proforma. All Areas are calculated in \"Europe Albers Equal Area Conic\"-Projection", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset represents the Network of Marine Protected Areas within OSPAR (Convention for the Protection of the marine Environment of the North-East Atlantic). MPAs are understood as areas for which protective, conservation, restorative or precautionary measures have been instituted for the purpose of protecting and conserving species, habitats, ecosystems or ecological processes of the marine environment. \n------\nAbstract derived from the abstract provided together with the dataset.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites|Northeast Atlantic Ocean (40W)", "publicationDate": "2019-06-04" }, { "sdiUuid": "486186a6-846a-412c-8641-5e07fc777289", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/486186a6-846a-412c-8641-5e07fc777289.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "built environment|sealing|soil surface sealing", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Revised Soil Sealing 2006 - Jan. 2013", "restApi": null, "label": 1262, "associatedResources": null, "sdiUseLimitation": "This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/486186a6-846a-412c-8641-5e07fc777289", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "geoland2_r_3035_xxx_m_revised-soil-sealing_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "20m", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to the report entitled \"Delivery Report Revised Soil Sealing 2006 products EEA-38\" for general information.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Cloud cover indicator files (deviation files) generated during the GMES Fast Track Service Precursor on Land Monitoring project of 2007 were converted to raster files with 20m resolution covering the whole area either a country or the appropriate part of it if the country is split into parts due to file size or projection reasons. These rasterised cloud cover indicator files were used as input for the further processing.\nImperviousness Degree 2009 datasets were then used to generate cross-calibrated sealing degree datasets out of the bi-temporal Image2006 working units under consideration of the Corrected built-up layer 2006.\nThe results were used to generate mosaics containing the sealing degrees as well as other outputs usable for e.g. change detection within future projects.\nThe mosaiced results were then put to final nomenclature indicating degree of sealing ranging from 0% to 100%. Adaptations-files were calculated that indicate the corrections made by the process concerning built-up areas towards the Enhanced Sealing Degrees 2006 datasets. The term \u201cadaptations\u201d was used intentionally to outline that this files contains corrections of errors only and no actual changes in between a certain time span.\nThe whole process was implemented using built-in and self-defined semi-automated procedures within the tool ERDAS Imagine 10.2. The rasterisation of the deviation files was implemented within ArcGIS 9.3.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "d94d57f7-3b70-4a66-9b3f-e388f844a58c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d94d57f7-3b70-4a66-9b3f-e388f844a58c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural areas", "sdiCentroidLon": null, "temporalCoverage": null, "title": "HELCOM marine protected areas 2010 (vector) - version 1, Mar. 2013", "restApi": null, "label": 1263, "associatedResources": null, "sdiUseLimitation": "Dataset from HELCOM Convention.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d94d57f7-3b70-4a66-9b3f-e388f844a58c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "helcom_v_3035_100_k_mpas_2009-2013_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "In March 2013, the latest version of the dataset was downloaded from the HELCOM website by ISPRA (Rome, Italy), to be used in the frame of the Spatial analysis of Marine Protected Area Networks in Europe\u00b4s seas project, coordinated by the European Environment Agency (EEA) in 2013-2014. The metadata were provided by HELCOM in January 2014, after a request of information. HELCOM published an updated version in July 2013.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset is compiled from data submitted by HELCOM Contracting States. It includes the borders of designated Baltic Sea Protected Areas. The designation is based on the HELCOM Recommendation 15/5 (1994). During 2009-2010 the data was up-dated within a project to analyse the ecological coherence of the HELCOM protected areas network. The current version of the dataset was created updating an older version of the BSPA shape file. New shapes were supplied by the Contracting States. The dataset was created in the scope of the assessment on the ecological coherence of the Baltic Sea MPA networks. Results are published in \"HELCOM 2010. Towards an ecologically coherent network of well-managed Marine Protected Areas \u2013 Implementation report on the status and ecological coherence of the HELCOM BSPA network. Balt. Sea Environ. Proc. No. 124B\".The Attribute \"Site ID\" has to be used to link the data to the HELCOM BSPA Database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Protected sites", "publicationDate": "2019-06-04" }, { "sdiUuid": "8d75bac9-3773-4c1e-97dc-3a4825a601f0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8d75bac9-3773-4c1e-97dc-3a4825a601f0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natural Earth I world cover with shaded relief, water, and drainages - version 1.3, January 2011", "restApi": null, "label": 1264, "associatedResources": null, "sdiUseLimitation": "Public Domain (http://www.naturalearthdata.com/about/terms-of-use/)", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8d75bac9-3773-4c1e-97dc-3a4825a601f0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ne_r_4326_60_arcsec_ne1-hr-lc-sr-w-dr_2011_rev1-3", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.016666667deg", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Extracted from http://www.shadedrelief.com/natural/pages/indepth.html\n\t\t\t\t Part 2: Data sources\n\n\na) Landcover - Natural Earth landcover derives primarily from Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF), a 500-meter resolution product of the University Maryland, Global Land Cover Facility. NASA's Terra satellite collects the raw data from which MODIS VCF derives.\n\nMODIS VCF is comprised of three data channels, forest, herbaceous, and bare. Assigning flat colors (dark green for forest, light green for herbaceous, and gray for bare) to these channels, which blend into one another, creates an image of Earth that appears natural. To give the bare channel more visual interest (i.e. tonal modulation), a lightened and recolorized version of NASA's Blue Marble image substitutes for flat gray in desert and highland areas, which appear reddish-brown and gray-blue respectively.\n\nFor a full discussion of natural-color mapping techniques refer to this article [http://www.shadedrelief.com/shelton/].\n\nOther data used in Natural Earth include:\n\nb) Shaded relief - Downsampled SRTM30 with void-filling enhancements by Natural Graphics, except for Antarctica which derives from GTOPO30.\n\nc) Bathymetry - ETOPO2 obtained from NOAA's National Geophysical Data Center website. Note: only the downsampled (10,800 x 5,400) version of Natural Earth uses bathymetry.\n\nd) Glaciers and Antarctic ice shelves - Digital Chart of the World (DCW) 1:1,000,000-scale vector data originally developed by the US National Geospatial Agency (formerly DMA and, more recently, NIMA). Antarctic ice tones derive from Blue Marble. Greenland ice tones are blue-tinted shaded relief.\n\ne) Arctic pack ice - Digitized from the CIA's Polar Regions Atlas, 1978, page 12. The stylized ice boundary depicts estimated absolute minimum sea ice extent, a theoretical concept rather than an observable geographic location. Use the pack ice overlay only for small-scale and generalized map presentations.\n\nf) Seas, lakes, and rivers - Extracted from MODIS VCF. The eastern one-third of Iceland, arctic areas north of 80 degrees, all of Antarctica, and many mid-ocean islands are not included in the dataset. The water boundary accompanying GTOPO30 elevation data substitutes in the areas not covered by MODIS VCF.\n\ng) International boundaries - ESRI Shapefile provided by the Office of the Geographer, US Department of State. Boundary representation is not necessarily authoritative.\n\nh) AVHRR urban - Extracted from 1-kilometer resolution Global Land Cover Characteristics Data Base Version 2.0 distributed by the USGS.\n\ni) MODIS urban - Extracted from 1-kilometer resolution Binary MOD12Q1 data (a MODIS-based product) obtained from Boston University, Department of Geography.\n\n\n+++++++++++++++++++++++++++++++\t\n\t\t\n\t\n\nPart 3: Data issues\n\n\nOf the nearly 525 million pixels that comprise Natural Earth, not all are perfect. Although created from satellite data, Natural Earth is a derivative graphical product that includes manual touchups. Use it accordingly.\n\nThe following are potential areas of concern for users.\n\na) Incomplete MODIS VCF landcover coverage - The eastern one-third of Iceland, arctic areas north of 80 degrees, all of Antarctica, and numerous ocean islands including Hawaii, Vanua Levu (Fiji), and the Shetland and Faroe Islands are missing from the data set.\n\nb) Filling the voids in MODIS VCF landcover involved several methods. Polar areas where little vegetation grows were the easiest to manage. Working backward from water and glacier coverages obtained from other sources, all unglaciated terrestrial areas received a bare classification and gray coloration. For eastern Iceland, where measurable vegetation exists, Binary MOD12Q1 landcover substituted for the missing MODIS VCF to show the herbaceous tundra as a pale green tint.\n\nc) Coloring small oceanic islands (most are only a few pixels wide) involved cloning landcover colors from nearby land areas with similar climate and vegetation characteristics. Manual painting in Photoshop using printed vegetation maps as a guide further enhanced the larger Hawaiian Islands.\n\nd) Discolored pixels - Pixels with unexpected colors (typically red-brown and gray) fringe some ocean shorelines and interior water bodies that fluctuate in size, a by-product of merging MODIS VCF and Blue Marble datasets. Filtering and manual cloning with the Clone Tool (rubber stamp) in Photoshop eliminated most of the discoloration.\n\ne) Snow removal - Another unwanted by-product of merged MODIS VCF and Blue Marble data was the appearance of patchy snow in the southern Andes and adjacent Patagonia between 35 and 45 degrees south latitude. Natural Earth depicts glaciers but not temporary snow cover. Sampling landcover colors from adjacent areas free of snow and painting in Photoshop removed the snow. The dramatic shaded relief of the Andes largely obscures this fix.\n\nf) Ghosted shaded relief - The Blue Marble image contains embedded shaded relief. In desert and highland areas on Natural Earth, a faint impression of the shaded relief is visible where recolorized and lightened Blue Marble contributes to the landcover.\n\ng) Polar areas - Reflecting the accuracy of the global datasets from which it derives, the resolution and general quality of data in polar regions on Natural Earth is less than that of other areas of the world.\n\nh) Water - Only the largest rivers appear on the water layer provided with Natural Earth, discontinuously. The Aral Sea, Lake Chad, and Great Salt Lake look too large.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales (1:10m version is stored in the EEA-SDI). Featuring tightly integrated vector and raster data, with Natural Earth one can make a variety of visually pleasing, well-crafted maps with cartography or GIS software. Natural Earth was built through a collaboration of many volunteers and is supported by NACIS (North American Cartographic Information Society), and is free for use in any type of project.\nThis dataset is composed of satellite-derived land cover data and shaded relief presented with a light, natural palette suitable for making thematic and reference maps.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "d54cd4e2-5c5a-489f-b34b-3f3fcd64eec6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d54cd4e2-5c5a-489f-b34b-3f3fcd64eec6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Natural Earth cultural and physical data - version 1.4, August 2011", "restApi": null, "label": 1265, "associatedResources": null, "sdiUseLimitation": "Public Domain (http://www.naturalearthdata.com/about/terms-of-use/)", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d54cd4e2-5c5a-489f-b34b-3f3fcd64eec6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ne_v_4326_10_mio_phys-cult_2011_rev1-4", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Some general statements about data creation for Natural Earth are available at http://www.naturalearthdata.com/about/data-creation/ and specific information per theme is available from http://www.naturalearthdata.com/downloads/10m-cultural-vectors/ and http://www.naturalearthdata.com/downloads/10m-physical-vectors/ by clicking on the \"About | Issues | Version History \u00bb\" button available for every dataset.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales (1:10m version is stored in the EEA-SDI). Featuring tightly integrated vector and raster data, with Natural Earth one can make a variety of visually pleasing, well-crafted maps with cartography or GIS software. Natural Earth was built through a collaboration of many volunteers and is supported by NACIS (North American Cartographic Information Society), and is free for use in any type of project.\nThe carefully generalized linework maintains consistent, recognizable geographic shapes at 1:10m, 1:50m, and 1:110m scales. Natural Earth was built from the ground up in order for all data layers align precisely with one another. For example, where rivers and country borders are one and the same, the lines are coincident. Most data contain embedded feature names, which are ranked by relative importance. Other attributes facilitate faster map production, such as width attributes assigned to river segments for creating tapers.\n\t\t\t\nCultural vector data themes:\n + Countries\n + Disputed areas and breakaway regions\n + First order admin\n + Populated places\n + Urban polygons\n + Parks and protected areas\n + Pacific nation groupings\n + Water boundary indicators\n\nPhysical vector data themes:\n + Coastline\n + Land\n + Ocean\n + Minor islands\n + Reefs\n + Physical region features\n + Rivers and lake centerlines\n + Lakes\n + Glaciated areas\n + Antarctic ice shelves\n + Bathymetry\n + Geographic lines\n + Graticules", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Hydrography", "publicationDate": "2019-06-04" }, { "sdiUuid": "bb5ab4fd-add7-4849-b89f-22d42a198932", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb5ab4fd-add7-4849-b89f-22d42a198932.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Urban Audit 2004, Nov. 2009", "restApi": null, "label": 1266, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb5ab4fd-add7-4849-b89f-22d42a198932", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_3_mio_urau_2004_rev2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:3000000", "contactOrganisation": null, "distributionFormat": "PGeo", "sdiElon": null, "lineage": "The third Urban Audit exercise was launched in 2006. The collected data is referenced to 2004. It is managed by the Directorate General for Regional Policy in collaboration with EUROSTAT. The URAU_2004 polygonal geometry for UA Cities, UA City Kernels and Large Urban Zones was derived from the GISCO Communes 2004 regional feature class. Information assigning membership of each EBM 2004 commune to each of the 3 UA conceptual levels was provided at the Country level. The URAU_2004 polygonal geometry for Sub City Districts was either derived from the GISCO Communes 2004 regional feature class (where information assigning membership of each EBM 2004 commune to hierarchical sublevels levels was provided at the Country level), or derived from geometry supplied by URAU delegates which was made coincident with UA City geometry. Generalised versions were created for display at a scale of 1:3 Million. The point geometry of the Urban Audit Cities was based on the GISCO STTL_V3 dataset of European Settlements. Points were created in 17 cases where a UA City could not be matched to a Settlement in GISCO STTL_V3 dataset.\n\nCreation of City, Kernel and LUZ feature classes: Country files listing UA status (City, Kernel and LUZ codes) of each EBM 2004 commune were joined to the geometry of the GISCO COMM_2004 regions. This was dissolved by each UA code to give the multipart regions for each UA level. Attributes were appended to each feature class by joining pre-prepared attribute tables. Creation of UA SCD2 feature classes based on communes 2004 geometry: For countries IE, MT and PT, country files listing the SCD L2 status of each EBM 2004 commune were joined to the geometry of the GISCO COMM_2004 regions. This was dissolved by each SCD L2 code to give multipart regions. Further subdivision of SCD L2 regions in the country of PT were made based on URAU_2001 geometry. Creation of UA SCD2 feature classes based on provided digital maps: For the remaining UA Cities for which SCD geometry is available, SCD L2 regions were derived from GIS files supplied by URAU delegates in various projections, coordinate systems and GIS formats. The SCD L2 regions were converted, projected and had geographic transformations applied where necessary. Some SCD L2 geometry had small manual shifts applied where the exact geographic transformation could not be defined. In the country RO, the outer SCD2 regions are not coincident with GISCO COMM_2004, and were fitted using aerial imagery. The outer SCD L2 boundaries were made coincident with UA City geometry. In the country BE, some internal boundaries were also made coincident with GISCO COMM_2004 geometry. Creation of UA SCD1: SCD attributes were appended to the SCD L2 feature class by joining pre-prepared attribute tables. SCD L1 geometry was created by dissolving SCD L2 boundaries using attributes in the supplied tables. Generalisation of polygonal feature classes to 1:3 million scale: The five polygonal feature classes were generalised for display at a scale of 1:3 Million. The geometries were combined prior to generalisation using a Union, so that boundaries shared between feature classes would also share the same simplified form. Polygons below 2.25km2 were eliminated by merging into the neighbouring polygon sharing the longest border, or deleted (for small islands). At least one feature was retained for each unique City, SCD L1, SCD L2, Kernel and LUZ. The simplification used the Bend Simplify option of the Simplify Polygon tool in ArcGIS 9.3, with a reference baseline of 1500m. Synchronisation of city points with STTL_V3: UA City points were derived by matching City regions to the GISCO Settlement Version 3 dataset (STTL_V3) based on proximity and name-matches. All except 17 UA Cities were matched, and STTL_V3 codes were retained as a UA City attribute. In several cases the STTL_V3 and UA City points were located outside the UA City regions (original or generalised). They were moved so that the point falls inside the RG, while still respecting the requirements for STTL_V3 points. Attribution of COMM_2004: The Urban Audit status of each commune was recorded by appending the City, Kernel and LUZ codes to the COMM_2004_AT attribute table.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "When using this data set, it should be bibliographically referred to as 'Urban Audit, 2004'. The Urban Audit (UA) provides European urban statistics for a representative sample of large and medium-sized cities across 30 European countries. It enables an assessment of the state of individual EU cities and provides access to comparative information from other EU cities. This spatial dataset will support the study and dissemination of the UA data. It allows the visualisation of participating cities at three conceptual levels: - UA City - the core city, using an administrative definition - UA City Kernel - a concept introduced to improve comparability between large cities - Larger Urban Zone (LUZ) - approximating the functional urban region In addition, this spatial dataset allows visualisation of a 285 participating cities at two hierarchical sublevels to analyse the disparities within cities: - Sub City Districts level 1 (SCD L1) - Sub City Districts level 2 (SCD L2) The extent of this dataset is the EU-27 plus Croatia (HR), Norway (NO) and Switzerland (CH). The URAU_2004 dataset contains a polygonal feature class for UA Cities, UA City Kernels and Large Urban Zones, derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004). Polygonal feature classes for Sub City Districts are derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004) or spatial data supplied by URAU delegates which has been made coincident with UA City geometry. A generalised version of each feature class allows for visualisation at the scale of 1:3 Million. UA Cities are also represented by a point topology that are derived from and synchronised with the GISCO STTL_V3 dataset of European Settlements. The UA city points are, when possible, synchronised to an Urban Fabric class in Corine Land Cover 2000.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Area management/restriction/regulation zones and reporting units", "publicationDate": "2019-06-04" }, { "sdiUuid": "f684f21a-6c92-488c-87a5-acaedbba7749", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f684f21a-6c92-488c-87a5-acaedbba7749.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, Aug. 2011", "restApi": null, "label": 1267, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: \u2022 The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments \u2022 The contact person at Ecologic: Manuel Lago \u2022 The contact person at DHI: Andy Stock", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f684f21a-6c92-488c-87a5-acaedbba7749", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name_1 (Name of the windfarm)\n + OtherNames (Other name of the windfarm)\n + CountryNam (Country where the windfarm is set)\n + Comments (Comments)\n + WindfarmSt (Windfarm Status or Project Status)\n + CapacityMW (Capacity of the windfarm)\n + NoTurbines (Number of turbines (probably those that are set in the windfarm))\n + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.)\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "c32def12-567c-44f2-8ac0-328379f97793", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c32def12-567c-44f2-8ac0-328379f97793.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "GlobCorine", "restApi": null, "label": 1268, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c32def12-567c-44f2-8ac0-328379f97793", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "esa_r_4326_10_arcsec_globcorine_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.002777777777778deg", "contactOrganisation": null, "distributionFormat": "GTiff", "sdiElon": null, "lineage": "n/a", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Tracking land cover changes using remotely sensed data contributes to evaluating the impact of human activities on the environment. The first GlobCover map successfully demonstrated the usefulness of MERIS time series for operational land cover observation. Jointly supported by theEuropean Space Agency and the European Environmental Agency, the GlobCorine project builds on the GlobCover findings and aims to make the full use of the MERIS time series for frequent land cover monitoring at the pan-European scale. Such an automated approach at 300 m will not identify landscape patterns as precisely as the Corine methodology, but it will significantly shorten the time response and expand the coverage. First, the automated GlobCover processing chain is adjusted towards a more land use oriented classification, compatible with the Corine typology. Second, an automated statistically-based algorithm is proposed to enable to monitor key land dynamics on a regular basis.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "7662905d-a70e-42a8-97ff-757fbf3e2c56", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7662905d-a70e-42a8-97ff-757fbf3e2c56.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, Apr. 2012", "restApi": null, "label": 1269, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:\t\t\t\t The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments\t\t\t\t The contact person at Ecologic: Manuel Lago\t\t\t\t The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7662905d-a70e-42a8-97ff-757fbf3e2c56", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_201204", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name_1 (Name of the windfarm)\n + OtherNames (Other name of the windfarm)\n + CountryNam (Country where the windfarm is set)\n + Comments (Comments)\n + WindfarmSt (Windfarm Status or Project Status)\n + CapacityMW (Capacity of the windfarm)\n + NoTurbines (Number of turbines (probably those that are set in the windfarm))\n + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.)\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "8bb64993-e19d-4d67-87d4-c86128f1d33d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bb64993-e19d-4d67-87d4-c86128f1d33d.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, Sep. 2012", "restApi": null, "label": 1270, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:\t\t\t\t The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments\t\t\t\t The contact person at Ecologic: Manuel Lago\t\t\t\t The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bb64993-e19d-4d67-87d4-c86128f1d33d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_201209", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name (Name of the windfarm)\n + Country (Country code)\n + Status (Status code)\n + WindfarmStatus (Windfarm Status or Project Status)\n + StatusComments (Comments on the Windfarm Status or Project Status)\n + CapacityMWMin (Capacity of the windfarm - Min)\n + CapacityMWMax (Capacity of the windfarm - Max)\n + NoTurbinesMin (Number of turbines - Min)\n + NoTurbinesMax (Number of turbines - Max)\n + Comments (Comments)\n + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min)\n + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max)\n + OtherNames (Other name of the windfarm)\n + CountryName (Country where the windfarm is set)\n + Lat (Geographic coordinate - centre latitude)\n + Lon (Geographic coordinate - centre longitude)\n + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.)\n + IsOnHold\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "087cb260-9b6e-49dd-80cc-b62c4e51bd88", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/087cb260-9b6e-49dd-80cc-b62c4e51bd88.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, Jul. 2013", "restApi": null, "label": 1271, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:\t\t\t\t The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments\t\t\t\t The contact person at Ecologic: Manuel Lago\t\t\t\t The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/087cb260-9b6e-49dd-80cc-b62c4e51bd88", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_201307", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name (Name of the windfarm)\n + Country (Country code)\n + Status (Status code)\n + WindfarmStatus (Windfarm Status or Project Status)\n + StatusComments (Comments on the Windfarm Status or Project Status)\n + CapacityMWMin (Capacity of the windfarm - Min)\n + CapacityMWMax (Capacity of the windfarm - Max)\n + NoTurbinesMin (Number of turbines - Min)\n + NoTurbinesMax (Number of turbines - Max)\n + Comments (Comments)\n + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min)\n + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max)\n + OtherNames (Other name of the windfarm)\n + CountryName (Country where the windfarm is set)\n + Lat (Geographic coordinate - centre latitude)\n + Lon (Geographic coordinate - centre longitude)\n + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.)\n + IsOnHold\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "61d562a9-5ba8-48f6-88f5-e913ad2a1550", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61d562a9-5ba8-48f6-88f5-e913ad2a1550.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, Jan. 2013", "restApi": null, "label": 1272, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:\t\t\t\t The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments\t\t\t\t The contact person at Ecologic: Manuel Lago\t\t\t\t The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61d562a9-5ba8-48f6-88f5-e913ad2a1550", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_201301", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name (Name of the windfarm)\n + Country (Country code)\n + Status (Status code)\n + WindfarmStatus (Windfarm Status or Project Status)\n + StatusComments (Comments on the Windfarm Status or Project Status)\n + CapacityMWMin (Capacity of the windfarm - Min)\n + CapacityMWMax (Capacity of the windfarm - Max)\n + NoTurbinesMin (Number of turbines - Min)\n + NoTurbinesMax (Number of turbines - Max)\n + Comments (Comments)\n + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min)\n + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max)\n + OtherNames (Other name of the windfarm)\n + CountryName (Country where the windfarm is set)\n + Lat (Geographic coordinate - centre latitude)\n + Lon (Geographic coordinate - centre longitude)\n + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.)\n + IsOnHold\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "874742f9-d62f-48b4-8414-649a15653b8c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/874742f9-d62f-48b4-8414-649a15653b8c.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Geographic Information System of the European Commission (GISCO), Jan. 2009", "restApi": null, "label": 1273, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/874742f9-d62f-48b4-8414-649a15653b8c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4326_x_x_gisco_20090113", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:20000000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "n/a", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 1996, "tend": 2009, "abstract": "As a permanent service of Eurostat, GISCO: promotes and stimulates the use of GIS within the European Statistical System and the Commission; manages and disseminates the Geographical reference database of the Commission; acts as a reference centre concerning GIS; promotes geo-referencing of statistics and collaboration between national statistical institutes and mapping agencies; pursues and ensures standardisation and harmonisation in the exchange of Geographic Information; co-leads the INSPIRE initiative on the introduction of a European Spatial Data Infrastructure.\n\nWithin the framework of the GISCO project, an extensive geo-referenced database has been developed. One of the main topics of the GISCO mandate is to extend, maintain and update this database.\nList of data sets offered by GISCO per ISO 19115 topic category (short name in []):\n a) Farming: farm accountancy data network [FADN]\n b) Biota: Natural Vegetation [VEGT], Biogeographical Zones [BIOG], Biotopes [BIOT]\n c) Boundaries: Territorial Units for Statistics (NUTS + Statistical Regions) [NUTS], Communes [COMM], Subcommunes [SCOM], Administrative regions [ADRG], Countries [CNTR]\n d) Climatology / Meteorology / Atmosphere: Climate [CLIM]\n e) Economy: Fishing Areas [FISH]\n f) Elevation: Digital Elevation Model [DEM], Bathimetry [BATH]\n g) Environment: Land Quality [LNQU], Designated Areas [DSIG]\n h) Geo-scientific information: Soil Erosion Risk [SOER], Geology Geomorphology ErosionTrend [ERTR], Soil [SOIL], Sediments Discharges [SDDS], Coastal Erosion [COER]\n i) Imagery/Base maps/Earth cover: Land Cover [LCOV]\n j) Inland waters: Water Patterns [WTPT], Lakes [LAKE], Watersheds [WTSH]\n k) Locations: Geographical Grid [GGGR], LUCAS [LUCA], Settlements [STTL], Gazetteer [GAZZ]\n l) Oceans: Coastline boundaries [COAS], Sea Level rise [SELV]\n m) Planning/Cadastre: Inter Regional [IREG], Leader Zones [LEAD], Less Favoured Areas [LFAV], National Support [NTSU], Structural Funds Zones [STFU], Urban Audit [URAU]\n n) Society: Population [POPU], Degree of urbanisation [DGUR]\n o) Transportation: Airports [AIRP], Ferry links [FERR], Ports [PORT], Road infrastructure [ROAD], Railway infrastructure [RAIL]\n p) Utilities/Communication: Nuclear Power [NUPW], Energy Production [ENPR], Energy Transport [ENTR]\n\n Further details can be found in gisco_naming_conventions_20090831.pdf", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Administrative units|Area management/restriction/regulation zones and reporting units|Hydrography|Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "9806e8e2-dc31-4ef9-9244-8c0ba457b6d8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9806e8e2-dc31-4ef9-9244-8c0ba457b6d8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database 2012", "restApi": null, "label": 1274, "associatedResources": null, "sdiUseLimitation": "License. Terms and conditions of use are available in the file LandScan_Product_License_Agreement_EEA.pdf", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9806e8e2-dc31-4ef9-9244-8c0ba457b6d8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ornl_g_4326_30_arcsec_landscan_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.008333333333333333deg", "contactOrganisation": null, "distributionFormat": "AIG", "sdiElon": null, "lineage": "Detailed information are to be found in cover_letter_ls12.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2012.htm.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2012, "tend": 2012, "abstract": "LandScan Global Population Database 2012. Population counts at 30 arc second resolution.\n\nDetailed information are to be found in cover_letter_ls12.pdf.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Population distribution \u2014 demography", "publicationDate": "2019-06-04" }, { "sdiUuid": "659c2707-f35d-40ce-86cc-684c00dc91b1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/659c2707-f35d-40ce-86cc-684c00dc91b1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database 2009", "restApi": null, "label": 1275, "associatedResources": null, "sdiUseLimitation": "License. Terms and conditions of use are available in the file landscan09_licensing.pdf", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/659c2707-f35d-40ce-86cc-684c00dc91b1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ornl_g_4326_30_arcsec_landscan_2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.008333333333333333deg", "contactOrganisation": null, "distributionFormat": "AIG", "sdiElon": null, "lineage": "n/a", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2009, "tend": 2009, "abstract": "LandScan Global Population Database 2009. Population counts at 30 arc second resolution.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Population distribution \u2014 demography", "publicationDate": "2019-06-04" }, { "sdiUuid": "0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database 2010", "restApi": null, "label": 1276, "associatedResources": null, "sdiUseLimitation": "License. Terms and conditions of \"OFFLINE\" use are available in the file Landscan_License_Agreement_-_SHRINKWRAP_License_2011.doc Terms of use in web services are available in the file LandScan_License_Agreement_-_East_View_Web_Application_DRAFT.doc", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ornl_g_4326_30_arcsec_landscan_2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.008333333333333333deg", "contactOrganisation": null, "distributionFormat": "AIG", "sdiElon": null, "lineage": "n/a", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2010, "abstract": "LandScan Global Population Database 2010. Population counts at 30 arc second resolution.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Population distribution \u2014 demography", "publicationDate": "2019-06-04" }, { "sdiUuid": "ee86deb3-5981-4373-a257-ddc28b2cf7a8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee86deb3-5981-4373-a257-ddc28b2cf7a8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database 2011", "restApi": null, "label": 1277, "associatedResources": null, "sdiUseLimitation": "License. Terms and conditions of \"OFFLINE\" use are available in the file Landscan_License_Agreement_-_SHRINKWRAP_License_2011.pdf Terms of use in web services are available in the file LandScan_License_Agreement_-_East_View_Web_Application_DRAFT.doc", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee86deb3-5981-4373-a257-ddc28b2cf7a8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ornl_g_4326_30_arcsec_landscan_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.008333333333333333deg", "contactOrganisation": null, "distributionFormat": "AIG", "sdiElon": null, "lineage": "Detailed information are to be found in cover_letter_ls11.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2011.htm.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2010, "tend": 2010, "abstract": "LandScan Global Population Database 2011. Population counts at 30 arc second resolution.\n\nDetailed information are to be found in cover_letter_ls11.pdf.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Population distribution \u2014 demography", "publicationDate": "2019-06-04" }, { "sdiUuid": "0f6f0a59-4938-40d8-9772-42fd787d5efa", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f6f0a59-4938-40d8-9772-42fd787d5efa.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, May 2014", "restApi": null, "label": 1278, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely:\t\t\t\t The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments\t\t\t\t The contact person at Ecologic: Manuel Lago\t\t\t\t The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f6f0a59-4938-40d8-9772-42fd787d5efa", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_201405", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "FGeo", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2014, "tend": 2014, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name (Name of the windfarm)\n + Country (Country code)\n + Status (Status code)\n + WindfarmStatus (Windfarm Status or Project Status)\n + StatusComments (Comments on the Windfarm Status or Project Status)\n + CapacityMWMin (Capacity of the windfarm - Min)\n + CapacityMWMax (Capacity of the windfarm - Max)\n + NoTurbinesMin (Number of turbines - Min)\n + NoTurbinesMax (Number of turbines - Max)\n + Comments (Comments)\n + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min)\n + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max)\n + OtherNames (Other name of the windfarm)\n + CountryName (Country where the windfarm is set)\n + Lat (Geographic coordinate - centre latitude)\n + Lon (Geographic coordinate - centre longitude)\n + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.)\n + IsOnHold\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "9d342efd-09da-4dbe-baa0-61cc54e1f598", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9d342efd-09da-4dbe-baa0-61cc54e1f598.jpg", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Offshore wind farms, Jan. 2012", "restApi": null, "label": 1279, "associatedResources": null, "sdiUseLimitation": "License terms:1.\tThe geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2.\tGeneral terms and conditions: a.\tThe Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b.\tSELLER and its suppliers shall retain title and all ownership rights of the Product.3.\tSpecific EEA conditions: a.\tThe results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: \u2022 The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments \u2022 The contact person at Ecologic: Manuel Lago \u2022 The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9d342efd-09da-4dbe-baa0-61cc54e1f598", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "4coffshore_v_4326_1_mio_windfarms_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Different sources are used e.g. news reports, press releases, communications with companies.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": 2011, "tend": 2011, "abstract": "Offshore Wind Farm locations and attribute data.\nList of main attributes provided in the spatial dataset:\n + WindfarmId (ID of the windfarm)\n + Name_1 (Name of the windfarm)\n + OtherNames (Other name of the windfarm)\n + CountryNam (Country where the windfarm is set)\n + Comments (Comments)\n + WindfarmSt (Windfarm Status or Project Status)\n + CapacityMW (Capacity of the windfarm)\n + NoTurbines (Number of turbines (probably those that are set in the windfarm))\n + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.)\n + Developers (Developer(s) of the windfarm)\n + Owners (Owner of the windfarm)\n + Operators (Operator of the windfarm)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Energy resources", "publicationDate": "2019-06-04" }, { "sdiUuid": "123d0c9a-a6fa-4f2d-b887-5d8e5468faed", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/123d0c9a-a6fa-4f2d-b887-5d8e5468faed.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|grassland|habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS habitat classification (revised) SERIES - version 1, May 2019", "restApi": null, "label": 1280, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/123d0c9a-a6fa-4f2d-b887-5d8e5468faed", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_x_3035_xx_xxx_eunis-hab_p_1940-2017_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat from natural to artificial, from terrestrial to freshwater and marine.\n\nAn extensive review of the EUNIS habitat classification was initiated in 2012 based on European vegetation plot data. The first groups of the classification to be revised were forest and other wooded land, heathland, scrub, tundra and grasslands. The review concerns codes, scientific names and descriptions. A new element of the revised classification is that indicator species are identified for level 3 habitat types. The revision of the groups were concluded after a consultation with EIONET and vegetation experts. The review is on-going and more groups will become available.\n\nThe data coverage is EEA39.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "EEA39", "publicationDate": "2019-06-04" }, { "sdiUuid": "d6724082-0256-4c03-8791-cb664f72997e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "grassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY", "restApi": null, "label": 1281, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6724082-0256-4c03-8791-cb664f72997e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-e-series_p_1940-20xx_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 3833\nRegularized training gain: 0.7296\nUnregularized training gain: 0.7715\nIterations: 500\nTraining AUC: 0.8144\n#Test samples: 425\nTest gain: 0.7372\nTest AUC: 0.8091\nAUC Standard Deviation: 0.0068\n#Background points: 13831\nbio_12_etrs2_ras contribution: 7.2249\nbio_15_etrs2_ras contribution: 1.3313\nbio_18_etrs2_ras contribution: 5.0275\nbio_4_etrs2_ras contribution: 57.2887\nbio_8_etrs2_ras contribution: 0.1087\ndist2water1km contribution: 0.099\npet_he_yr contribution: 25.3307\nsoil_ph contribution: 0.2365\nsolar_1km contribution: 3.3526\nbio_12_etrs2_ras permutation importance: 6.7298\nbio_15_etrs2_ras permutation importance: 2.9637\nbio_18_etrs2_ras permutation importance: 3.5609\nbio_4_etrs2_ras permutation importance: 60.7858\nbio_8_etrs2_ras permutation importance: 0.5247\ndist2water1km permutation importance: 0.5285\npet_he_yr permutation importance: 20.3984\nsoil_ph permutation importance: 0.6564\nsolar_1km permutation importance: 3.8518\nEntropy: 8.8058\nPrevalence (average of logistic output over background sites): 0.2375\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0703\nFixed cumulative value 1 area: 0.5494\nFixed cumulative value 1 training omission: 0.0055\nFixed cumulative value 1 test omission: 0.0118\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2449\nFixed cumulative value 5 area: 0.4424\nFixed cumulative value 5 training omission: 0.0324\nFixed cumulative value 5 test omission: 0.0447\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3549\nFixed cumulative value 10 area: 0.3875\nFixed cumulative value 10 training omission: 0.0788\nFixed cumulative value 10 test omission: 0.0776\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0905\nMinimum training presence logistic threshold: 0.0045\nMinimum training presence area: 0.7482\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0047\nMinimum training presence binomial probability: 4.13E-32\n10 percentile training presence cumulative threshold: 12.1187\n10 percentile training presence logistic threshold: 0.3765\n10 percentile training presence area: 0.3699\n10 percentile training presence training omission: 0.0999\n10 percentile training presence test omission: 0.0847\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 28.4686\nEqual training sensitivity and specificity logistic threshold: 0.4751\nEqual training sensitivity and specificity area: 0.2656\nEqual training sensitivity and specificity training omission: 0.2656\nEqual training sensitivity and specificity test omission: 0.2565\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9074\nMaximum training sensitivity plus specificity logistic threshold: 0.3398\nMaximum training sensitivity plus specificity area: 0.3974\nMaximum training sensitivity plus specificity training omission: 0.0663\nMaximum training sensitivity plus specificity test omission: 0.0706\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 28.8768\nEqual test sensitivity and specificity logistic threshold: 0.4768\nEqual test sensitivity and specificity area: 0.2635\nEqual test sensitivity and specificity training omission: 0.269\nEqual test sensitivity and specificity test omission: 0.2635\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 12.1714\nMaximum test sensitivity plus specificity logistic threshold: 0.3772\nMaximum test sensitivity plus specificity area: 0.3695\nMaximum test sensitivity plus specificity training omission: 0.1002\nMaximum test sensitivity plus specificity test omission: 0.0847\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\nBalance training omission, predicted area and threshold value logistic threshold: 0.1058\nBalance training omission, predicted area and threshold value area: 0.5243\nBalance training omission, predicted area and threshold value training omission: 0.007\nBalance training omission, predicted area and threshold value test omission: 0.0118\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\nEquate entropy of thresholded and original distributions logistic threshold: 0.1671\nEquate entropy of thresholded and original distributions area: 0.4825\nEquate entropy of thresholded and original distributions training omission: 0.0162\nEquate entropy of thresholded and original distributions test omission: 0.0165\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat suitability.\nThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan", "publicationDate": "2019-06-04" }, { "sdiUuid": "77603271-8502-4b4b-98ed-5bd188ef38d1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "grassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, distribution based on vegetation plot data SERIES - version 1, MM. YYY", "restApi": null, "label": 1282, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/77603271-8502-4b4b-98ed-5bd188ef38d1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-e-series_p_1940-20xx_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. 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However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 3833\nRegularized training gain: 0.7296\nUnregularized training gain: 0.7715\nIterations: 500\nTraining AUC: 0.8144\n#Test samples: 425\nTest gain: 0.7372\nTest AUC: 0.8091\nAUC Standard Deviation: 0.0068\n#Background points: 13831\nbio_12_etrs2_ras contribution: 7.2249\nbio_15_etrs2_ras contribution: 1.3313\nbio_18_etrs2_ras contribution: 5.0275\nbio_4_etrs2_ras contribution: 57.2887\nbio_8_etrs2_ras contribution: 0.1087\ndist2water1km contribution: 0.099\npet_he_yr contribution: 25.3307\nsoil_ph contribution: 0.2365\nsolar_1km contribution: 3.3526\nbio_12_etrs2_ras permutation importance: 6.7298\nbio_15_etrs2_ras permutation importance: 2.9637\nbio_18_etrs2_ras permutation importance: 3.5609\nbio_4_etrs2_ras permutation importance: 60.7858\nbio_8_etrs2_ras permutation importance: 0.5247\ndist2water1km permutation importance: 0.5285\npet_he_yr permutation importance: 20.3984\nsoil_ph permutation importance: 0.6564\nsolar_1km permutation importance: 3.8518\nEntropy: 8.8058\nPrevalence (average of logistic output over background sites): 0.2375\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0703\nFixed cumulative value 1 area: 0.5494\nFixed cumulative value 1 training omission: 0.0055\nFixed cumulative value 1 test omission: 0.0118\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2449\nFixed cumulative value 5 area: 0.4424\nFixed cumulative value 5 training omission: 0.0324\nFixed cumulative value 5 test omission: 0.0447\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3549\nFixed cumulative value 10 area: 0.3875\nFixed cumulative value 10 training omission: 0.0788\nFixed cumulative value 10 test omission: 0.0776\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0905\nMinimum training presence logistic threshold: 0.0045\nMinimum training presence area: 0.7482\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0047\nMinimum training presence binomial probability: 4.13E-32\n10 percentile training presence cumulative threshold: 12.1187\n10 percentile training presence logistic threshold: 0.3765\n10 percentile training presence area: 0.3699\n10 percentile training presence training omission: 0.0999\n10 percentile training presence test omission: 0.0847\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 28.4686\nEqual training sensitivity and specificity logistic threshold: 0.4751\nEqual training sensitivity and specificity area: 0.2656\nEqual training sensitivity and specificity training omission: 0.2656\nEqual training sensitivity and specificity test omission: 0.2565\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9074\nMaximum training sensitivity plus specificity logistic threshold: 0.3398\nMaximum training sensitivity plus specificity area: 0.3974\nMaximum training sensitivity plus specificity training omission: 0.0663\nMaximum training sensitivity plus specificity test omission: 0.0706\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 28.8768\nEqual test sensitivity and specificity logistic threshold: 0.4768\nEqual test sensitivity and specificity area: 0.2635\nEqual test sensitivity and specificity training omission: 0.269\nEqual test sensitivity and specificity test omission: 0.2635\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 12.1714\nMaximum test sensitivity plus specificity logistic threshold: 0.3772\nMaximum test sensitivity plus specificity area: 0.3695\nMaximum test sensitivity plus specificity training omission: 0.1002\nMaximum test sensitivity plus specificity test omission: 0.0847\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\nBalance training omission, predicted area and threshold value logistic threshold: 0.1058\nBalance training omission, predicted area and threshold value area: 0.5243\nBalance training omission, predicted area and threshold value training omission: 0.007\nBalance training omission, predicted area and threshold value test omission: 0.0118\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\nEquate entropy of thresholded and original distributions logistic threshold: 0.1671\nEquate entropy of thresholded and original distributions area: 0.4825\nEquate entropy of thresholded and original distributions training omission: 0.0162\nEquate entropy of thresholded and original distributions test omission: 0.0165\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, 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Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the modelled distribution of EUNIS heathland, scrub and tundra habitat probability. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/932aaeb4-ba71-4e56-b4bb-e1daac3710ac", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_20_m_eunis-hab-p_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the modelled distribution of EUNIS woodland, forest and other wooded land habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes", "publicationDate": "2019-06-04" }, { "sdiUuid": "796c2ce6-f44d-4588-8fd6-2681d99b97b6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal environment|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, Braun-Blanquet project plot data (vector) - series", "restApi": null, "label": 1288, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. 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Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/796c2ce6-f44d-4588-8fd6-2681d99b97b6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types samples from vegetation plot data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes", "publicationDate": "2019-06-04" }, { "sdiUuid": "aec16bd6-db2b-4d45-a8cd-f8a0820c4c48", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|remote sensing|wood", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, modelled distribution of habitat probability (raster) - series", "restApi": null, "label": 1289, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aec16bd6-db2b-4d45-a8cd-f8a0820c4c48", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_20_m_eunis-hab-p_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the modelled distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes", "publicationDate": "2019-06-04" }, { "sdiUuid": "d44f2631-79d9-401d-80ce-ca0c0ffb3fef", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|remote sensing|wood", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS coastal habitats, modelled distribution of habitat probability (raster) - series", "restApi": null, "label": 1290, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44f2631-79d9-401d-80ce-ca0c0ffb3fef", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_20_m_eunis-hab-p_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the modelled distribution of EUNIS coastal habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes", "publicationDate": "2019-06-04" }, { "sdiUuid": "18ceba86-c0e8-49a7-bcc3-6ba6749ef380", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|habitat|modelling|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY", "restApi": null, "label": 1291, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18ceba86-c0e8-49a7-bcc3-6ba6749ef380", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-series_p_1940-20xx_v01_r00", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 3833\nRegularized training gain: 0.7296\nUnregularized training gain: 0.7715\nIterations: 500\nTraining AUC: 0.8144\n#Test samples: 425\nTest gain: 0.7372\nTest AUC: 0.8091\nAUC Standard Deviation: 0.0068\n#Background points: 13831\nbio_12_etrs2_ras contribution: 7.2249\nbio_15_etrs2_ras contribution: 1.3313\nbio_18_etrs2_ras contribution: 5.0275\nbio_4_etrs2_ras contribution: 57.2887\nbio_8_etrs2_ras contribution: 0.1087\ndist2water1km contribution: 0.099\npet_he_yr contribution: 25.3307\nsoil_ph contribution: 0.2365\nsolar_1km contribution: 3.3526\nbio_12_etrs2_ras permutation importance: 6.7298\nbio_15_etrs2_ras permutation importance: 2.9637\nbio_18_etrs2_ras permutation importance: 3.5609\nbio_4_etrs2_ras permutation importance: 60.7858\nbio_8_etrs2_ras permutation importance: 0.5247\ndist2water1km permutation importance: 0.5285\npet_he_yr permutation importance: 20.3984\nsoil_ph permutation importance: 0.6564\nsolar_1km permutation importance: 3.8518\nEntropy: 8.8058\nPrevalence (average of logistic output over background sites): 0.2375\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0703\nFixed cumulative value 1 area: 0.5494\nFixed cumulative value 1 training omission: 0.0055\nFixed cumulative value 1 test omission: 0.0118\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2449\nFixed cumulative value 5 area: 0.4424\nFixed cumulative value 5 training omission: 0.0324\nFixed cumulative value 5 test omission: 0.0447\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3549\nFixed cumulative value 10 area: 0.3875\nFixed cumulative value 10 training omission: 0.0788\nFixed cumulative value 10 test omission: 0.0776\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0905\nMinimum training presence logistic threshold: 0.0045\nMinimum training presence area: 0.7482\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0047\nMinimum training presence binomial probability: 4.13E-32\n10 percentile training presence cumulative threshold: 12.1187\n10 percentile training presence logistic threshold: 0.3765\n10 percentile training presence area: 0.3699\n10 percentile training presence training omission: 0.0999\n10 percentile training presence test omission: 0.0847\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 28.4686\nEqual training sensitivity and specificity logistic threshold: 0.4751\nEqual training sensitivity and specificity area: 0.2656\nEqual training sensitivity and specificity training omission: 0.2656\nEqual training sensitivity and specificity test omission: 0.2565\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9074\nMaximum training sensitivity plus specificity logistic threshold: 0.3398\nMaximum training sensitivity plus specificity area: 0.3974\nMaximum training sensitivity plus specificity training omission: 0.0663\nMaximum training sensitivity plus specificity test omission: 0.0706\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 28.8768\nEqual test sensitivity and specificity logistic threshold: 0.4768\nEqual test sensitivity and specificity area: 0.2635\nEqual test sensitivity and specificity training omission: 0.269\nEqual test sensitivity and specificity test omission: 0.2635\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 12.1714\nMaximum test sensitivity plus specificity logistic threshold: 0.3772\nMaximum test sensitivity plus specificity area: 0.3695\nMaximum test sensitivity plus specificity training omission: 0.1002\nMaximum test sensitivity plus specificity test omission: 0.0847\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.5019\nBalance training omission, predicted area and threshold value logistic threshold: 0.1058\nBalance training omission, predicted area and threshold value area: 0.5243\nBalance training omission, predicted area and threshold value training omission: 0.007\nBalance training omission, predicted area and threshold value test omission: 0.0118\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 2.8524\nEquate entropy of thresholded and original distributions logistic threshold: 0.1671\nEquate entropy of thresholded and original distributions area: 0.4825\nEquate entropy of thresholded and original distributions training omission: 0.0162\nEquate entropy of thresholded and original distributions test omission: 0.0165\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS woodland, forest and other wooded land habitat suitability. \nThe modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Habitats and biotopes|Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan", "publicationDate": "2019-06-04" }, { "sdiUuid": "4cafda6d-f635-4fb2-b2b0-47731eeb28f8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": null, "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4cafda6d-f635-4fb2-b2b0-47731eeb28f8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 100m) - series", "restApi": null, "label": 1292, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4cafda6d-f635-4fb2-b2b0-47731eeb28f8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc_2006_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all versions of Corine Land Cover 2006, raster 100m starting with version 13.\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. \n\nCLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": "Land cover", "publicationDate": "2019-06-04" }, { "sdiUuid": "88bc8c56-55d6-45a4-91bf-a03843b3e3e7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88bc8c56-55d6-45a4-91bf-a03843b3e3e7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins) - version 1, Jun. 2012", "restApi": null, "label": 1293, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88bc8c56-55d6-45a4-91bf-a03843b3e3e7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "Product is based on CCM River and Catchment Database, version 2.1 (vector, lines and points data sets). Coastal definition has been substituted by SeaVox se delineation adjusted to CCM shore line. Lakes polygons are taken from Corine land Cover 2006, XFD Art 13 deliveries and to a lesser extend from CCM water layer. Lakes relevance has been checked against ERM Euroregional maps(layers 2010). River names taken from many sources: ERM, Wikipedia, WFD deliveries and water bodies deliveries, EEA data base on dams, etc. Dams have been taken from several sources: Icold, French ministry of energy, public web sites. Their position has been found by the EEA using a web based tool applied to GoogleEarth, completed by Eionet deliveries. Corrections are proposed by innumerable source, of which EU member states (as provision of the water bodies) and consultants, primarily P\u00f6yry during systematic calculation of discharges at segment level.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Ecrins is acronym for European catchments and Rivers network system. It is a geographical information system of the European hydrographical systems with a full topological information. Ecrins is a composite system made from the CCM developed by the JRC, Corine land Cover, WFD reporting elements, etc.\nIt is organised from a layer of 181,071 \u201cfunctional elementary catchments (FECs)\u201d which average size is ~62 km2, fully connected with explicit identifier (ID) relationships and upstream area. Catchments are grouped as sub-basins, river basin districts (actual and functional to meet hydrographical continuity).\nThe catchments are as well organised according to their sea shore of emptying to meet Marine Strategy delineations. Catchments are drained by 1,348,163 river segments, sorted as \u201cmain drains\u201d (connecting together the FECs) and secondary drains (internal to a FEC). river segments mimic the natural drainage, however fulfilling the topological constraint of \u201c0,1 or 2 upstreams, single or 0 downstream\u201d. Each segment is populated with distance to the sea, to ease further processing. They are connected to elementary catchments and nodes documented with altitude.\nSegments are as well documented with a \u201cdummy river code\u201d, fully populated that earmark each segment with the most distant to the outlet in each drainage basin and, everywhere this has been possible, with a \u201ctrue river\u201d ID based on river naming.\nA layer of lakes and dams has been elaborated. Lakes polygons (70,847) are taken from Corine Land cover , WFD Art. 13 and in some cases, from CCM \u201cwater layer\u201d. Lakes inlets and outlets are set with the segment ID and where relevant, the dams making the lake is documented. All lakes which depths and volume was found have been updated.\nVersion 1.0 here presented still contain some topological errors (e.g. incorrect segment branching), because inaccurate geometry. They are noted and a correction procedure is underway.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "af51f22b-bd28-4217-aa73-1c95c08577d1", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Hydrography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af51f22b-bd28-4217-aa73-1c95c08577d1.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "hydrography", "sdiCentroidLon": null, "temporalCoverage": null, "title": "European catchments and Rivers network system (Ecrins), gazetteer - version 1, Jun. 2012", "restApi": null, "label": 1294, "associatedResources": null, "sdiUseLimitation": "Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af51f22b-bd28-4217-aa73-1c95c08577d1", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_250_k_ecrins-gazetteer_1990-2006_rev01", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:250000", "contactOrganisation": "European Environment Agency", "distributionFormat": "PGeo", "sdiElon": null, "lineage": "Names are taken from several sources, of which open source national datasets, art 13 deliveries (water bodies having reference to a river in national system), dams database (dam is often documented with the river on which it is), Wikipedia (when rivers is inlet /outlet of lake) and ERM. Names are assigned by the most probable identity between a source and a segment in Ecrins, following the affluent levels. In next release, monitoring information shall be mobilised as well.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This data set, albeit a geodatabases, does not contain feature classes. For the time being, it only contains flat tables Rinames (river names) that links to C_TR feature class with ID Riv_ID (river identifier) and to RivNamesAlias, when more than one alternate name was found for the river.\nAncillary table Tr2Riv makes another updated relationship between segments (as from C_Tr) and RivNames / RivNamesAlias in case of need to compute some statistics (e.g. named rivers per basin, etc.)\nWhen relevant, other gazetting could be added to this data set and will be documented in next releases.\nThe graphic shows the rivers names (excluding those unnamed).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d82219d7-79bd-416b-81b7-c521c6cbc835", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d82219d7-79bd-416b-81b7-c521c6cbc835.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "population density|population distribution", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Population density grid for 2006 based on GEOSTAT data (raster)", "restApi": null, "label": 1295, "associatedResources": null, "sdiUseLimitation": "The data may be freely copied, published and distributed by the user within the user\u2019s own organisation (enterprise, governmental authority or municipality).For the data produced by Statistics AT, FI, FR, SE, DK, PL, EE, SI, NL, NO, UK, PT (as encoded in the field DATA_SRC) the following limitations apply to the use and dissemination of the grid dataset outside the user\u2019s organisation: the dataset shall not, either in whole or in part, be sold to others or otherwise used for commercial purposes by the user. The user shall also refrain from disseminating the dataset to multiple clients, outside the user\u2019s own organisation.In addition, for SE all rights to the product shall be the property of Statistics Sweden under the provisions of the Copyright Act (1960:729). The Copyright Act contains provisions for penalties and damages related to copyright violation. Users who wish to use the dataset for commercial purposes or to dissiminate the dataset without charges should contact Statistics Sweden in order to make an agreement. Contact information: regionalt@scb.se.In addition for DK all rights to the product shall be the property of Statistics Denmark (www.dst.dk). Users that wish to use the dataset for commercial purposes or to disseminate the dataset without charges should contact Statistics Denmark (www.dst.dk) in order to make an agreement. Contact information: Erik Sommer, Chief Adviser, Customer Centre, eso@dst.dk . Trade with Statistics Denmark is governed by Danish law. Any dispute that cannot be resolved by negotiations between the parties must be settled by the Maritime and Commercial Court in Copenhagen as the court of first instance. Information about the business conditions for use of data from Statistics Denmark http://www.dst.dk/en/ForSale/dataandanalysis/Business-conditions.aspx and http://www.dst.dk/en/ForSale/dataandanalysis/General-terms-and-conditions.aspx#govFor the data created by AIT (as encoded in the field DATA_SRC) the rights to the data shall be the property of the European Commission. The AIT data may be freely used and disseminated without restrictions.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d82219d7-79bd-416b-81b7-c521c6cbc835", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_pop-density-geostat_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Production of original dataset available at http://www.gisco.eurostat.cec/shared-data/GEOSTAT-1km-Grid/ :\nAustria (DATA_SRC = AT): Aggregation from national register data using building points reprojected to ETRS89-LAEA.\nEstonia (DATA_SRC = EE): The population data for non Census years is only available on municipality level (LAU2). The 2006 population gridmap is an estimation which is based on different datasets - 2011 Census building centroids (contains also building addresses and coordinates), persons address data from population register, data about new buildings from buildings register and the official 2006 population counts on municipalities level. Buildings that were built between 2006 and 2011 were excluded. Based on building centroids the 2006 population in municipalities were calculated and the numbers were compared to the official population counts for the year 2006. If there were differences between the two numbers then the missing/redundant number of persons were added/deleted to/from randomly selected buildings within the same municipality. The building centroid datset were aggregated to grids.\nFinland (DATA_SRC = FI): Data were recast to 1km2 ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated by using building points.\nThe Netherlands ((DATA_SRC = NL): Source population register, allocated by address-coordinates. Recast from 100m x 100m grid (aggregated) in national projection (EFGS 28992). Not allocated were a number of 6,930 persons from a total of 16,334,210 persons on the 1 January 2006\nPoland (DATA_SRC = PL): Use of address points layer (reference 2011) as a parameter to disaggregate population distribution from the administrative units (reference 2006) into the 1km2 grid.Portugal: The population data for 2006 is only available on municipality level (LAU1). These data and the 2001 and 2011 population distribution on 1km2 grid was used to estimate the 2006 population for each grid cell. Determination of the percentage breakdown of population in 2001 and 2011 within each municipality that reside in a particular grid; Estimate the 2006 grid cell population as linear combined estimates of the previous percentages with fixed weights multiplied by the 2006 population in the municipality.\nSweden (DATA_SRC = SE: Data was aggregated using building locations. 21249 persons not located in any grid cell.\nSlovenia (DATA_SRC = SI): Aggregation using building locations. 15 persons not located in any grid cell.Norway: Data recast to 1 km x 1 km ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated using building points.\nDenmark (DATA_SRC = DK): Aggregation of household locations. \nFrance: Combination of tax register, census data and cadastral data. \nUnited Kingdom (England, Wales) (DATA_SRC = GB): The map is based on postcode population estimates. Population estimates have been produced for 1.33m residential postcodes. \nAustrian Institute for Technology (DATA_SRC = AIT) (for BE, BG, CH, CZ, DE, EL, ES, IE, IT, HU, LI, LU, LT, LV, MT, RO, SK, UK (Scotland, Northern Ireland): input data EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 2006 (\u00a9 European Environment Agency) Population per LAU2 (LAU1) 2006 (\u00a9 Eurostat) LAU2 borderlines (\u00a9 Eurogeographics) Corine Land Cover 2006 (\u00a9 European Environment Agency) Open Street Map data (Geodaten \u00a9 OpenStreetMap) Methodology: 1.Creating non-residential masks (1:100.000); Non-residential built-up areas of Corine Land Cover (CLC 1.2, 1.3, 1.4) Rasterized road and rail network from OSM data2. Masking of Degree of Soil Sealing Layer resulting in Housing Density Layer\n3. Linear Disaggregation of LAU2 population data to Housing Density Layer 4. Aggregation of disaggregated population to 1km grid.\n-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-\nProduction of current dataset:\nProduction of a raster file based on an Inspire compliant grid.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset contains the number of inhabitants per km\u00b2 for the reference year 2006 and located within the Grid_ETRS89-LAEA_1K. The data set should be referred to GEOSTAT_Grid_POP_2006_1K. The dataset is compiled from the following data sources: aggregated residential population for the year 2006 (AT, SE, FI, SI, NL); estimated residential population for the year 2006 based on mixed national sources (EE, PT, FR, NO, PL, UK (England, Wales)); disaggregated residential population for the year 2006 using using population statistics at LAU2 level for 2006 as data input and Soil Sealing and Corine LC 2006 (BE, BG, CH, CZ, DE, EL, ES, HU, IE, IS, IT, LI, LT, LU, LV, MT, RO, SK, UK (Scotland, Northern Ireland) as ancillary data for the disaggregation.\nNo data available for CY due to absent LAU2 data for Cyprus for the reference year 2006.\nThe dataset is based on a product of the GEOSTAT project which is supported by the European Commission and the European Forum for Geostatistics EFGS.\nThis abstract is based on the abstract provided with the original dataset (CSV file).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "54a9568c-30bc-4f45-8990-f4c2fff44f82", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Protected sites", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/54a9568c-30bc-4f45-8990-f4c2fff44f82.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "natural areas", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Specially Protected Areas of Mediterranean Importance 1992 - 2012 (vector) - version 1, Sep. 2013", "restApi": null, "label": 1296, "associatedResources": null, "sdiUseLimitation": "Restricted", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54a9568c-30bc-4f45-8990-f4c2fff44f82", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_mio_spami-mpas_1992-2012_rev1", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The SPAMI sites represented in the shapefile have been defined by the contracting parties within the legal framework of the Barcelona Convention.\n\nSince no official layer of all the SPAMI areas was available in 2013, the shapefiles of each SPAMI were downloaded from the MAPAMED website (www.mapamed.org) and, for the purpose of running spatial MPA analysis and evaluations, they were merged in a unique dataset. Then, they were joined to a tabular list of SPAMI provided by the Regional Activity Centre for Specially Protected Areas (RACSPA), containing information on the names, dates of establishment and general characteristics of the sites (i.e. surface area). This list was received directly through the Secretariat, who is the depository of this information.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Specially Protected Areas of Mediterranean Importance (SPAMI) - version 1 (09/2013) is a dataset produced within the Spatial analysis of Marine Protected Area Networks in Europe\u00b4s seas, elaborated by ISPRA (Rome, Italy) and coordinated by the European Environment Agency (EEA) in 2013-2014. SPAMI are marine protected areas (MPAs) declared in the frame of the Barcelona Convention for the Protection of the marine environment and the coastal Region of the Mediterranean Sea (Barcelona Convention). Since no official layer of all the SPAMI areas was available in 2013, the shapefiles of each SPAMI were downloaded from the MAPAMED website (www.mapamed.org) and, for the purpose of running spatial MPA analysis and evaluations, they were merged in a unique dataset. Then, they were joined to a tabular list of SPAMI provided by the Regional Activity Centre for Specially Protected Areas (RACSPA), containing information on the names, dates of establishment and general characteristics of the sites (i.e. surface area). This list was received directly through the Secretariat, who is the depository of this information.\n\nNB: Reprojection issues have been identified for some polygons (e.g. in islands West of Italy)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "7c2dd14f-60b6-4009-aca8-5d20300479a9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c2dd14f-60b6-4009-aca8-5d20300479a9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "EC directive|European Union|bird|breeding bird|migratory bird|nature conservation policy", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Status and trends of bird populations 2008-2012 for public access, Nov. 2015", "restApi": null, "label": 1297, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA)", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/article-12-database-birds-directive-2009-147-ec", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c2dd14f-60b6-4009-aca8-5d20300479a9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_status-trends-birds-public_2008-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP|SQLite", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2008 to 2012. The data was supplied under the Article 12 (Birds Directive 2009/147/EC) reporting process.\nMore information is available in the report art12_delivery_note_technical_report.pdf available together with the dataset.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Species as reported during the Article 12 of the Birds Directive (2009/147/EC) covering the period 2008 to 2012. The data covers the EU 27. \n\nThe dataset contains a support version of tabular data as reported by Member States, targeted for the assessment of bird population status at the European level for the 2008-2012 reporting period. This includes population sizes and trends (short and long term) for breeding and wintering populations, as well as pressures and threats for Special Protection Area trigger species. \n\nThis version does not include species flagged as sensitive by Member States.\n\nInformation on the data quality of the 2008-2012 reporting round is available at http://bd.eionet.europa.eu/article12.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "2e12957f-2921-4069-ae7f-0c9fee0d64f8", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e12957f-2921-4069-ae7f-0c9fee0d64f8.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "EC directive|European Union|habitat|nature conservation|nature conservation policy|species", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of species 2007-2012 for public access aggregated by Member State, Sep. 2014", "restApi": null, "label": 1298, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e12957f-2921-4069-ae7f-0c9fee0d64f8", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-species-public-agg-ms_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_MS took place.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nThis version does not include species flagged as sensitive by Member States.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ee91f323-b845-4a6b-ade4-f3c354c6ed07f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee91f323-b845-4a6b-ade4-f3c354c6ed07f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Azores (100km), May 2013", "restApi": null, "label": 1299, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee91f323-b845-4a6b-ade4-f3c354c6ed07f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-pt-20_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-21" }, { "sdiUuid": "81ddbbee-78c1-4362-a156-68950610568cf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81ddbbee-78c1-4362-a156-68950610568cf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Azores (10km), May 2013", "restApi": null, "label": 1300, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81ddbbee-78c1-4362-a156-68950610568cf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_km_eea-ref-grid-pt-20_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "10000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. 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Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-07-01" }, { "sdiUuid": "cc36fcc1-7d1e-498d-8232-46637bfc2177f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc36fcc1-7d1e-498d-8232-46637bfc2177f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Canary Islands (10km), May 2013", "restApi": null, "label": 1302, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-21" }, { "sdiUuid": "b1d025b8-df6b-4085-b0ac-0273edd92c57f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1d025b8-df6b-4085-b0ac-0273edd92c57f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Canary Islands (100km), May 2013", "restApi": null, "label": 1303, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-21" }, { "sdiUuid": "b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Azores (1km), May 2013", "restApi": null, "label": 1305, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-pt-20_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-21" }, { "sdiUuid": "fbd91951-43eb-4718-bccc-2b06f7a49c46f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbd91951-43eb-4718-bccc-2b06f7a49c46f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "gridding", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Madeira (100km), May 2013", "restApi": null, "label": 1306, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbd91951-43eb-4718-bccc-2b06f7a49c46f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-pt-30_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-07-01" }, { "sdiUuid": "4c600ff2-5110-41b4-8267-821a880e8561", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c600ff2-5110-41b4-8267-821a880e8561.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Administrative units from EuroBoundaryMap and GAUL (raster 1000m)", "restApi": null, "label": 1307, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c600ff2-5110-41b4-8267-821a880e8561", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_admin-units-leac_2008-2010", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Refer to EBMv5_G2008_Regions_min_1ha_111-522.README for a more readable description.\n\n\n# README file about the generation of the admin boundary layer \n# used in the LEAC cube for Corine Land Cover (CLC) v15 data\n#\n# Hermann, March 2012\n\n\n================================\n0. Input data and GIS tools used\n================================\n\n\nA) Data\n\nEuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011 (short name: EBM_v5)\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=8cee3968-f302-48cc-a886-3f7d6ac36a7d\n\nGlobal Administrative Unit Layers (GAUL), national level (level 0) for reference year 2008 - version 2009, Dec. 2008 (short name: GAUL2008/GAUL0)\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=074b8e76-5e49-467c-aa30-ed013afd41a9\n\nGlobal Administrative Unit Layers (GAUL), first level (level 1) for reference year 2008 - version 2009, Dec. 2008 (short name: GAUL2008/GAUL1)\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=5f9a77a6-8f6f-4551-a158-82e138336a6f\n\nCorine Land Cover 1990 (raster 100m) - version 15, Aug. 2011\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=4ead9faf-5732-4dd2-aaf1-4b10db063fe9\n\nCorine Land Cover 2000 (raster 100m) - version 15, Aug. 2011\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=38068464-b303-4221-a7e5-fec4473c3267\n\nCorine Land Cover 2006 (raster 100m) - version 15, Aug. 2011\nhttp://sdi.eea.europa.eu/internal-catalogue/?uuid=87a1e572-e9fa-4090-803a-eb576ddff644\n\n\nB) GIS tools\n\nogr2ogr and gdal_rasterize, from the GDAL - Geospatial Data Abstraction Library, http://gdal.org\nSource code for version 1.9.0dev taken from trunk (http://trac.osgeo.org/gdal/browser/trunk)\n\nGRASS - Geographic Resources Analysis Support System, http://grass.osgeo.org/\nSource code for version 6.4.2svn taken from trunk (http://trac.osgeo.org/grass/browser/grass/trunk)\n\nAll data processing was carried out on a Debian Linux 64-bit system (EEA server name: whitefish)\nCommand line tools used for executing scripts: bash 4.1.5 and gawk 4.0.0\n\n\n==============================================================================\n1. Selection and rasterization of EBM_v5 and GAUL features into GeoTIFF format\n==============================================================================\n\n\nThe chosen approach is a quite detailed selection of individual features from the input vector layers.\nThe purpose is to give different raster values to different feature types, so that later, the rasterised\nfeatures can be patched together and potentially re-classified as needed (also for non-LEAC use cases).\n\n\nA) Selection of features from EBM_v5, re-projection to LAEA (EPSG:3035)\n\n# Vector 1: NUTS3 regions from NUTS_3, where country code (ICC) is not NULL, add RID = FID + 1000\nogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_NUTS_3.shp StatisticalRegions/NUTS_3.shp -lco ENCODING=UTF-8 \\\n\t-sql \"select ICC,NUTS_CODE,NUTS_LABEL,cast(FID+1000 as integer(8)) as RID from NUTS_3 where ICC is not NULL\"\n\n# Vector 2: Inland water from EBM_A, TAA = 7; left join EBM_NUTS.dbf to get the NUTS3 code\n# create a tmp file first, which will be joined with Vector 1, in order to get the RID for the NUTS3 region\nogr2ogr -t_srs epsg:3035 $OUTDIR/tmp_EBMv5_EBM_A_TAA-EQ7.shp EBM_A.shp -lco ENCODING=UTF-8 \\\n\t-sql \"select EBM_A.ICC as ICC,EBM_A.SHN as SHN,TAA,NUTS1,NUTS2,NUTS3 \\\n\tfrom EBM_A left join 'EBM_NUTS.dbf'.EBM_NUTS on EBM_A.SHN = EBM_NUTS.SHN where TAA = 7\"\n\n# Generate final Vector 2 shapefile, including RID\nogr2ogr $OUTDIR/EBMv5_EBM_A_TAA-EQ7.shp $OUTDIR/tmp_EBMv5_EBM_A_TAA-EQ7.shp -lco ENCODING=UTF-8 \\\n\t-sql \"select E.*,N.NUTS_CODE,N.RID from 'tmp_EBMv5_EBM_A_TAA-EQ7' E \\\n\tleft join '$OUTDIR/EBMv5_NUTS_3.dbf'.EBMv5_NUTS_3 N on E.NUTS3 = N.NUTS_CODE\"\n\n# Vector 3a: FullEurope, TAA = 1,3,4,7\nogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_TAA-LT5orEQ7.shp EBM_A.shp -lco ENCODING=UTF-8 \\\n\t-sql \"select SHN,TAA,ICC from EBM_A\twhere TAA < 5 or TAA = 7\"\n\n# Vector 3b: Add Kosovo and Serbia, TAA = 1,3,4,7\nogr2ogr\t-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_TAA-LT5orEQ7.shp EBM_A.shp \\\n\t-sql \"select SHN,TAA,ICC from EBM_A where TAA < 5 or TAA = 7\" \\\n\t-update -append # -nln EBMv5_EBM_A_TAA-LT5orEQ7\n\n# Vector 4a: Administrative Units for Kosovo\nogr2ogr\t-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp -lco ENCODING=UTF-8 \\\n\t-sql \"select ICC,SHN,ISN,NAMN,DESN,cast(FID+3000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'KS'\"\n\n# Vector 4b: Add Administrative Units for Serbia\nogr2ogr\t-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_3.shp \\\n\t-sql \"select ICC,SHN,ISN,NAMN,DESN,cast(FID+4000 as integer(8)) as RID from AdministrativeUnit_3 where ICC = 'RS'\" \\\n\t-update -append # -nln EBMv5_EBM_A_AdministrativeUnits\n\n# Vector 4c: Add Administrative Units for Moldova\nogr2ogr\t-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp \\\n\t-sql \"select ICC,SHN,ISN,NAMN,DESN,cast(FID+5000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'MD'\" \\\n\t-update -append # -nln EBMv5_EBM_A_AdministrativeUnits\n\n# Vector 4d: Add Administrative Units for Ukraine\nogr2ogr\t-t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp \\\n -sql \"select ICC,SHN,ISN,NAMN,DESN,cast(FID+5000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'UA'\" \\\n\t-update -append # -nln EBMv5_EBM_A_AdministrativeUnits\n\n\nB) Rasterisation of selected EBM_v5 features, in 1km resolution\n\n# Raster 1: NUTS3 regions by RID\ngdal_rasterize EBMv5_NUTS_3.shp EBMv5_NUTS_3_NUTS3.tif \\\n\t-tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a RID -a_nodata 0 -co compress=deflate -co tiled=yes\n\n# Raster 2: inland water areas, by N.RID = RID of their NUTS3 region\ngdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_NUTS3.tif \\\n\t-tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a N.RID -a_nodata 0 -co compress=deflate -co tiled=yes \\\n\n# Raster 3: inland water areas, by country code (8000..8999)\n\n# a) Initialise GeoTIFF, by burning 1st inland water country code\ngdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_ICC.tif \\\n\t-tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes \\\n\t-burn 8003 -where \"E.ICC = 'ND'\"\n\n# b) Burn remaining inland water country codes into the same GeoTIFF\nawk 'NR > 4 { print $1, $2 - 1000 }' $SCRIPTDIR/EBMv5_ICC_plus_9000.txt |\nwhile read code num ; do\n\tgdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_ICC.tif \\\n\t-burn $num -where \"E.ICC = '$code'\"\ndone\n\n# Raster 4: main and inland water areas, by country code (9000..9999)\n\n# a) Initialise GeoTIFF, by burning 1st country code\ngdal_rasterize EBMv5_EBM_A_TAA-LT5orEQ7.shp EBMv5_EBM_A_TAA-LT5orEQ7_ICC.tif \\\n\t-tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes \\\n\t-burn 9003 -where \"ICC = 'ND'\"\n\n# b) Burn remaining country codes into the same GeoTIFF\nawk 'NR > 4 { print $1, $2 }' $SCRIPTDIR/EBMv5_ICC_plus_9000.txt |\nwhile read code num ; do\n\tgdal_rasterize EBMv5_EBM_A_TAA-LT5orEQ7.shp EBMv5_EBM_A_TAA-LT5orEQ7_ICC.tif \\\n\t-burn $num -where \"ICC = '$code'\"\ndone\n\n# Raster 5: Administrative Units regions by RID\ngdal_rasterize EBMv5_EBM_A_AdministrativeUnits.shp EBMv5_EBM_A_AdministrativeUnits_AU.tif \\\n\t-tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a RID -a_nodata 0 -co compress=deflate -co tiled=yes\n\n\nC) Selection of features from GAUL2008, re-projection to LAEA (EPSG:3035)\n\n# GAUL2008/GAUL1: select all areas which are not disputed\nogr2ogr -s_srs epsg:4326 -t_srs epsg:3035 g2008_1.shp /home/peifer/gaul/unzipped/g2008_1.shp \\\n\t-sql \"select g1.*,ia.*,cast(ADM1_CODE+10000 as integer(8)) as RID from g2008_1 g1 \\\n\tleft join 'international_country_attributes.dbf'.international_country_attributes ia on g1.ADM0_CODE = ia.ADM0_CODE \\\n\twhere g1.DISP_AREA is NULL\" -lco ENCODING=UTF-8 -overwrite\n\n# GAUL2008/GAUL0: select all areas which are not disputed\nogr2ogr -s_srs epsg:4326 -t_srs epsg:3035 g2008_0.shp /home/peifer/gaul/unzipped/g2008_0.shp \\\n\t-sql \"select g0.*,ia.*,cast(ADM0_CODE+100000 as integer(8)) as RID from g2008_0 g0 \\\n\tleft join 'international_country_attributes.dbf'.international_country_attributes ia on g0.ADM0_CODE = ia.ADM0_CODE \\\n\twhere g0.DISP_AREA is NULL\" -lco ENCODING=UTF-8 -overwrite\n\n\nD) Rasterisation of selected GAUL features, in 1km resolution\n\n# GAUL2008/GAUL1\ngdal_rasterize g2008_1.shp g2008_1.tif -tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes -a RID\n\n# GAUL2008/GAUL0\ngdal_rasterize g2008_0.shp g2008_0.tif -tr 1000 1000 -te 1500000 900000 7400000 5500000 \\\n\t-ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes -a RID\n\n\n===================================================================================\n2. Import of generated GeoTIFFs into GRASS database, growth of GAUL2008/GAUL0 layer\n===================================================================================\n\n\nA) Import of all GeoTIFFs from step 1 into GRASS\n\n# Start GRASS, change to the directory where the GeoTIFFs are\nfor f in *.tif ; do\n\tr.in.gdal $f out=${f%.tif} --o\ndone\n\n\nB) Growth of GAUL2008/GAUL0 layer\n \n# Generate GAUL0_PLUS1KM\nr.grow g2008_0 out=GAUL0_PLUS1KM --o\n\n# Let GAUL0_PLUS1KM grow..\nfor i in {1..184} ; do\n echo \"GAUL0 PLUS $i KM +++ $(date)\" && echo &&\n r.grow GAUL0_PLUS${i}KM out=GAUL0_PLUS$(( $i + 1 ))KM --o\n g.remove GAUL0_PLUS${i}KM\ndone\n\n\n\n===================================================================================\n3. Patch imported raster layers together, generate final products for the LEAC cube\n===================================================================================\n\n\nA) Generate a patchwork of raster layers, as admin boundary layer for the LEAC cube\n\nr.patch input=EBMv5_NUTS_3_NUTS3,EBMv5_EBM_A_TAA-EQ7_NUTS3,EBMv5_EBM_A_TAA-EQ7_ICC,\\\n\t\tEBMv5_EBM_A_AdministrativeUnits_AU,EBMv5_EBM_A_TAA-LT5orEQ7_ICC,\\\n\t\tg2008_1,GAUL0_PLUS185KM output=EBMv5.G2008.Regions_min_1ha_111-522\n\n\n\nB) Apply a MASK to cut the generated patchwork back to the extent of CLC version 15 raster data (100m)\n\n# The MASK itself is in 1000m resolution and covers all areas that have at least 1 ha class 111..522 data\n# in the earlier generated LEAC layers: FK90, FK00 or clc06 (FK90 and FK00 layers are documented separately)\nr.mask rast=laea_grid.FK90_FK00_clc06.min_1ha_111-522\n\n\nC) Generate sorted tabular output for the LEAC cube\n\nr.stats --q -c laea_grid,EBMv5.G2008.Regions_min_1ha_111-522 | awk -f filter.awk |\n\tsort > laea_grid_EBMv5_G2008_Regions_min_1ha_111-522.sorted\n\nThe result is a text file with 5942628 rows and 3 columns. The first 10 records look like this:\n\nGridNum GridCode ADM_ID\n115471032 1kmE1547N1032 12720\n115471033 1kmE1547N1033 1076\n115471034 1kmE1547N1034 12720\n115481031 1kmE1548N1031 1076\n115481032 1kmE1548N1032 1076\n115481033 1kmE1548N1033 1076\n115481034 1kmE1548N1034 1076\n115481035 1kmE1548N1035 12720\n115481036 1kmE1548N1036 12720\n\nCodes and names for all ADM_ID values, and the parent/child relationship of all regions,\nas used in the LEAC cube is documented in: EBMv5_G2008_Regions_min_1ha_111_522_legend_final\n\n\nD) Generate GeoTIFF output for other purposes\n\nr.out.gdal EBMv5.G2008.Regions_min_1ha_111-522 createopt=compress=deflate,tiled=yes \\\n\tnodata=0 out=EBMv5_G2008_Regions_min_1ha_111-522.tif\n\n\n*** END OF DOCUMENTATION ***", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2011, "abstract": "This dataset maps NUTS3 regions (Nomenclature of territorial units for statistics) or where not available: Administrative Units from EuroBoundaryMap onto an Inspire compliant grid with 1000m resolution. For countries not covered by EuroBoundaryMap, GAUL1 (Global administrative unit layers) administrative units have been used to complement the geographical coverage. In a final step, the raster layer has been patched with *grown* GAUL0 administrative units, in order to cover remaining Corine Land Cover v15 data areas in classes 111 to 522.\nThe attribute table corresponding to the dataset is available in the file EBMv5_G2008_Regions_min_1ha_111_522_legend_final", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "380c4c6f-410a-4f60-8ddc-c13e53b607db", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/380c4c6f-410a-4f60-8ddc-c13e53b607db.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Geographic Information System of the European Commission (GISCO), Aug. 2012", "restApi": null, "label": 1308, "associatedResources": null, "sdiUseLimitation": "This data set should be referred to as &quot;Countries, 2010 - European Commission, Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf\nAccess to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: European Commission \u2013 Eurostat/GISCO French: Limites administratives: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Source: Commission europ\u00e9enne \u2013 Eurostat/GISCO German: Verwaltungsgrenzen: \u00a9 EuroGeographics, \u00a9 FAO (UN), \u00a9 TurkStat Quelle: Europ\u00e4ische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/380c4c6f-410a-4f60-8ddc-c13e53b607db", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco_20120817", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:60000000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the CNTR_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "GISCO is a Eurostat service which promotes and stimulates the use of GIS within the European Statistical System and the Commission. It is responsible for the management and dissemination of the Geographical reference database of the Commission. It produces maps, spatial analysis, promotes geo-referencing of statistics and provides user support for Commission users of GIS.\nGISCO is one of the leaders of the INSPIRE initiative, supporting the implementation of the directive for the establishment of a European Spatial Data Infrastructure.\nThe datasets extracted from GISCO in August 2012 are for the year 2010:\n + Administrative boundaries at country level\n + Coastlines\n + Communes\n + EEZ\n + NUTS\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "14a2fec1-fea8-4452-bf87-969e39c942cd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14a2fec1-fea8-4452-bf87-969e39c942cd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "administrative boundary", "sdiCentroidLon": null, "temporalCoverage": null, "title": "Geographic Information System of the European Commission (GISCO), Dec. 2015", "restApi": null, "label": 1309, "associatedResources": null, "sdiUseLimitation": "Eurostat's general copyright notice and licence policy is applicable and can be consulted on http://ec.europa.eu/eurostat/about/policies/copyright. Please also be aware of the European Commission's general conditions (https://ec.europa.eu/info/legal-notice_en)\n\nMoreover, there are specific provisions applicable to some of the datasets available for downloading. The download and usage of these data is subject to their acceptance. Please see the respective section for more details on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data. \n\nThe European Commission, its Executive Agencies and European Environmental Agency may use the datasets under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission \u2013 Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14a2fec1-fea8-4452-bf87-969e39c942cd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eurostat_v_4258_x_x_gisco_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Commission, Eurostat (ESTAT), GISCO", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The dataset is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2013, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. \nMore information on the lineage of the different datasets can be found in their respective metadata files.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "GISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at 3 levels: the European Union, its member countries, and its regions.\nIn addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. \nThe datasets extracted from GISCO in its 2013 release and include in the EEA catalogue of geospatial datasets are:\n + Administrative boundaries at country level (COUNTRIES 2013) at 1:100.000 scale\n + Communes (COMMUNES 2013) at 1:100.000 scale\n + NUTS (NUTS 2013) at 1:100.000 scale", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d84256cd-61f4-43dd-9a8d-5442aa54fbe3", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d84256cd-61f4-43dd-9a8d-5442aa54fbe3.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Population density disaggregated with Corine land cover 2000", "restApi": null, "label": 1310, "associatedResources": null, "sdiUseLimitation": "No limitations", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/population-density-disaggregated-with-corine-land-cover-2000-2", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d84256cd-61f4-43dd-9a8d-5442aa54fbe3", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_popu01clc_2000_rev5", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "The Joint Research Centre", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Gallego F.J., 2010, A population density grid of the European Union,\nPopulation and Environment. 31: 460-473\n\nhttp://www.springerlink.com/content/h22617v812p51014/?p=a5de0fad279b474187e630362f4f2fc8&pi=3", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Raster data on population density using Corine Land Cover 2000 inventory. Data are available at 100 meters resolution.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "2d6f67b9-c912-4ba5-94ee-1af821a24729", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d6f67b9-c912-4ba5-94ee-1af821a24729.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 with gap filling provided by CLC 2000 (raster 100m) - version 16, Apr. 2012", "restApi": null, "label": 1311, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d6f67b9-c912-4ba5-94ee-1af821a24729", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-combined_2000-2006_rev16", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "Input data: Corine Land Cover 2006 (raster 100m) - version 16, Apr. 2012 [clc06] and Corine Land Cover 2000 (raster 100m) - version 16, Apr. 2012 [clc00]\nThe rule used in GRASS was: r.mapcalc clc06_clc00_100 = \"clc06 <= 523 ? clc06 : clc00\"", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Corine Land Cover 2000 and 2006 have a different spatial coverage, Greece missing in CLC 2006. This dataset combines Corine Land Cover 2006 and Corine Land Cover 2000 in order to provide the largest spatial coverage with the most up-to-date data. Therefore where no CLC 2006 data were available, CLC 2000 data have been used.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "7353cada-14cf-4b0b-b46b-21702637497f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7353cada-14cf-4b0b-b46b-21702637497f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Elevation Breakdown (raster 1 Km)", "restApi": null, "label": 1312, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/elevation-breakdown", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7353cada-14cf-4b0b-b46b-21702637497f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_elevation-breakdown_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "This version of the Elvation Breakdown was created using the LEAC 1 Km grid as reference system. Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains (see enclosed PDF file for further details).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This layer defines homogeneous areas as function of height, slope and distance to the sea. \nThe Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "88d21578-4e7c-40d9-b2be-ad137a6a3bbd", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88d21578-4e7c-40d9-b2be-ad137a6a3bbd.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of habitat types 2007-2012 aggregated at EU-27 level, Sep. 2014", "restApi": null, "label": 1313, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88d21578-4e7c-40d9-b2be-ad137a6a3bbd", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-hab-agg-eu27_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_EU27 took place.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b9d6d212-7846-47d2-aed0-02665b6a9559", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9d6d212-7846-47d2-aed0-02665b6a9559.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of habitat types 2007-2012 aggregated by Member State, Sep. 2014", "restApi": null, "label": 1314, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9d6d212-7846-47d2-aed0-02665b6a9559", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-hab-agg-ms_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_MS took place.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ac815f97-786a-429e-8da9-f708be14a6d7", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac815f97-786a-429e-8da9-f708be14a6d7.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Land Accounts (LEAC) PHARE Data", "restApi": null, "label": 1315, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/land-accounts-leac-phare-data", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac815f97-786a-429e-8da9-f708be14a6d7", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_phare_1975-1990", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "n/a", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Land Cover Accounts are part of the Land and Ecosystem Accounting project which deal with data on changes in land cover and land use and seek to trace the wider environmental, social and economic implications of these transformations.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ca27341a-b100-4466-92b6-ba13912c6f36f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ca27341a-b100-4466-92b6-ba13912c6f36f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Madeira (1km), May 2013", "restApi": null, "label": 1316, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ca27341a-b100-4466-92b6-ba13912c6f36f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-pt-30_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-07-01" }, { "sdiUuid": "abf380b4-818d-42c6-8de5-5230978124e5", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/abf380b4-818d-42c6-8de5-5230978124e5.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database 2008 adjusted to the LEAC grid", "restApi": null, "label": 1317, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abf380b4-818d-42c6-8de5-5230978124e5", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_landscan-leac_2008", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The methodology used to project the LandScan data (http://www.ornl.gov/sci/landscan/) onto the LEAC grid is described in the document lineage_landscan_to_leac_grid_part1.pdf. At that stage, these data are stored into a MsAccess database.\nThe conversion from a MsAccess database to a GeoTiff raster file is described in the document lineage_landscan_to_leac_grid_part2.pdf.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30\" resolution) clipped to Europe and processed in order to match a LEAC grid (projection EPSG 3035 with a spatial resolution of 1km\u00b2).\n\nContent: population count per grid cell.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "902043ca-1683-4eea-91b9-1efab31d1f5e", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/902043ca-1683-4eea-91b9-1efab31d1f5e.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Nature Value Farmland eu 1 km", "restApi": null, "label": 1318, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902043ca-1683-4eea-91b9-1efab31d1f5e", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_hnv-eu-1km_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Check .pdf document", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid contains the result of the CLC2000 reselection plus national datasets up-scaled to 1 km.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "0d3fae51-1873-4f46-acb5-5cd2e2ad2544f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d3fae51-1873-4f46-acb5-5cd2e2ad2544f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Kosovo (UNSCR 1244/99) (100km), May 2013", "restApi": null, "label": 1319, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d3fae51-1873-4f46-acb5-5cd2e2ad2544f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_km_eea-ref-grid-xk_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "34149223-a7f8-49bd-8037-91a67bb66c74", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34149223-a7f8-49bd-8037-91a67bb66c74.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Natural Value Total Maximum", "restApi": null, "label": 1320, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34149223-a7f8-49bd-8037-91a67bb66c74", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1000_m_hnv-tot-max_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Check .pdf document", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "the grid contains the combination of the others HNV layers (eu_1km, iba, pba, n2k) all upscaled to 1 km, created with the rule that the maximum value of the four is retained in the result (resolution 1 km)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1ae48a16-89b7-4568-aae8-2308f254e2cf", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1ae48a16-89b7-4568-aae8-2308f254e2cf.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Coastal zones derived from Corine Land Cover classes 52x (raster 100m), Jun. 2012", "restApi": null, "label": 1321, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1ae48a16-89b7-4568-aae8-2308f254e2cf", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-buffer-52x-1-10km_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "0. Get access to the CLC v.16 100 m raster datasets:\n\nCorine Land Cover 2000 raster data - version 16\nCorine Land Cover 2006 raster data - version 16\nCorine Land Cover 1990 raster data - version 16\nCorine Land Cover 2000 - 2006 harmonised changes - version 16\nCorine Land Cover 1990 - 2000 harmonised changes - version 16\n\n\n1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\n\nIn GRASS:\nr.mapcalc FK00 = \"(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)\"\nr.mapcalc FK90 = \"(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)\"\n\n\n2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\n\nBefore generating buffer_52x_1_to_10km, input layers: clc06, FK00 and FK90 have to be reclassified as follows:\n\n521 = 523 # 521 (coastal lagoons) is now treated as part of the SEA\n522 = 523 # 522 (Estuaries) is now treated as part of the SEA\n* = * # Anything else remains as it was", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "4c1baca3-6494-4463-9958-dc4d8d15bbab", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c1baca3-6494-4463-9958-dc4d8d15bbab.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Coastal zones derived from Corine Land Cover class 523 (raster 100m), Jun. 2012", "restApi": null, "label": 1322, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c1baca3-6494-4463-9958-dc4d8d15bbab", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-buffer-523-1-10km_2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "0. Get access to the CLC v.16 100 m raster datasets:\n\nCorine Land Cover 2000 raster data - version 16\nCorine Land Cover 2006 raster data - version 16\nCorine Land Cover 1990 raster data - version 16\nCorine Land Cover 2000 - 2006 harmonised changes - version 16\nCorine Land Cover 1990 - 2000 harmonised changes - version 16\n\n\n1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\n\nIn GRASS:\nr.mapcalc FK00 = \"(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)\"\nr.mapcalc FK90 = \"(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)\"\n\n\n2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\n\nLayer buffer_523_1_to_10km can be generated directly from the input layers clc06, FK00 and FK90.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with a class value of 523 (sea and ocean) in Corine Land Cover (details in lineage).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "eac75b71-3c41-4133-8ec0-2a983e5f8f1c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eac75b71-3c41-4133-8ec0-2a983e5f8f1c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Nature Value Farmland - Primary Butterfly Areas", "restApi": null, "label": 1323, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eac75b71-3c41-4133-8ec0-2a983e5f8f1c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_hnv-pba_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Check .pdf document", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "the grid contains the reselection of CLC2000 classes in selected Primary Butterfly Areas (resolution 100 m)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "9302aca8-d3c7-43b2-b64f-f42bec35e7a4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9302aca8-d3c7-43b2-b64f-f42bec35e7a4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "European and Mediterranean Basin extract of LandScan Global Population Database 2008", "restApi": null, "label": 1324, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9302aca8-d3c7-43b2-b64f-f42bec35e7a4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_landscan-eurmed2_2008", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The methodology used consisted in:\na) clipping an area of interest from the original LandScan data (http://www.ornl.gov/sci/landscan/) in WGS84 lat/lon\nb) calculating the corresponding population density in inhabitants per km\u00b2 (still in WGS84 lat/lon)\nc) projecting b) to ETRS89 - Lambert Azimuthal Equal Area 52N10E (epsg:3035) with a resolution of 1km\n \nThis methodology is described in the document landscan_paul.pdf.\n\nIn this document, some references are made to a similar product created by Hermann Peifer registered in the catalogue with the metadata ID 1d68d314-d07c-4205-8852-f74b364cd699", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2008, "abstract": "This dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30\" resolution) clipped to Europe together with the Mediterranean Basin, converted into a population density dataset and reprojected to EPSG:3035 (Lambert Azimuthal Equal Area 52N10E / ETRS89) with a spatial resolution of 1km\u00b2. The methodology applied aimed at minimizing any discrepancy in population counts between the original data and the reprojected data at country level.\nContent: population count per grid cell.\nNo data value: -99", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1d68d314-d07c-4205-8852-f74b364cd699", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1d68d314-d07c-4205-8852-f74b364cd699.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Extract of LandScan Global Population Database 2008 over Europe and the Mediterranean Basin", "restApi": null, "label": 1325, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1d68d314-d07c-4205-8852-f74b364cd699", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_landscan-eurmed_2008", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The methodology used to project a portion of the LandScan data (http://www.ornl.gov/sci/landscan/) from WGS84 lat/lon to ETRS89 - Lambert Azimuthal Equal Area 52N10E (epsg:3035) is described in the document landscan_hermann.pdf.\nIn this document, some references are made to a similar product delivered by ETC-LUSI registered in the catalogue with the metadata ID abf380b4-818d-42c6-8de5-5230978124e5", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2008, "tend": 2008, "abstract": "This dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30\" resolution) clipped to Europe together with the Mediterranean Basin and reprojected to EPSG:3035 (Lambert Azimuthal Equal Area 52N10E / ETRS89) with a spatial resolution of 1km\u00b2. The methodology applied aimed at minimizing any discrepancy in population counts between the original data and the reprojected data at country level.\n\nContent: (population count * 10000) per grid cell.\nNo data value: -99", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "fee1dd1a-b65b-4d01-9f54-00c080f9e151", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fee1dd1a-b65b-4d01-9f54-00c080f9e151.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Coastal zones derived from Corine Land Cover class 523 (raster 100m), Dec. 2011", "restApi": null, "label": 1326, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fee1dd1a-b65b-4d01-9f54-00c080f9e151", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-buffer-523-1-10km_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "0. Download the CLC v.15 100 m raster datasets, as published in EEA data service:\n\nCorine Land Cover 2000 raster data - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 2006 raster data - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 1990 raster data - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 2000 - 2006 changes - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 1990 - 2000 changes - version 15 (08/2011), Aug 24, 2011\n\nhttp://www.eea.europa.eu/data-and-maps/data#c12=corine+version+15+raster+data \n\n\n1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\n\nIn GRASS:\nr.mapcalc FK00 = \"(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)\"\nr.mapcalc FK90 = \"(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)\"\n\n\n2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\n\nLayer buffer_523_1_to_10km can be generated directly from the input layers clc06, FK00 and FK90.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with a class value of 523 (sea and ocean) in Corine Land Cover (details in lineage).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "f68623ca-c1ff-44b6-a582-14872f43fc93", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f68623ca-c1ff-44b6-a582-14872f43fc93.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Coastal zones derived from Corine Land Cover classes 52x (raster 100m), Dec. 2011", "restApi": null, "label": 1327, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f68623ca-c1ff-44b6-a582-14872f43fc93", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_clc-buffer-52x-1-10km_2011", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "0. Download the CLC v.15 100 m raster datasets, as published in EEA data service:\n\nCorine Land Cover 2000 raster data - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 2006 raster data - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 1990 raster data - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 2000 - 2006 changes - version 15 (08/2011), Aug 24, 2011\nCorine Land Cover 1990 - 2000 changes - version 15 (08/2011), Aug 24, 2011\n\nhttp://www.eea.europa.eu/data-and-maps/data#c12=corine+version+15+raster+data \n\n\n1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf\n\nIn GRASS:\nr.mapcalc FK00 = \"(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)\"\nr.mapcalc FK90 = \"(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)\"\n\n\n2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script\n\nBefore generating buffer_52x_1_to_10km, input layers: clc06, FK00 and FK90 have to be reclassified as follows:\n\n521 = 523 # 521 (coastal lagoons) is now treated as part of the SEA\n522 = 523 # 522 (Estuaries) is now treated as part of the SEA\n* = * # Anything else remains as it was", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2006, "tend": 2006, "abstract": "Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "51d44d2d-835a-4a03-963c-86bd2f856006", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/51d44d2d-835a-4a03-963c-86bd2f856006.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "SRTM90 - The Shuttle Radar Topography Mission DEM100", "restApi": null, "label": 1328, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51d44d2d-835a-4a03-963c-86bd2f856006", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_srtm90-dem_2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "1. The SRTM dataset was corrected tile by tile by filling voids using http://3dnature.com/srtmfill.html application 2. A mosaic was produced using the filled tiles. 3. The sea leyer was modified to -1000 value, to generate a \"fake\" sea and sepparate the sea level from the areas bellow sea level. 5. A \"extraction line\" was manually created, folowing rivers valleys in the North area of Europe. 6. The existing DTD data was resampled to 90 m resolution and croped using with the line at point 3 7. The SRTM mosaic was cropped using the line at point 3 8. The SRTM mosaic was convert into tiles with overlapping edges. 9. The tiles at point 6 were reprojected to LAEA5210 10. A mosaic was generated using the tiles at point 7 11. The mosaics resulted at point8 and point 4 were merged into one mosaic 12. The mosaic at point 11 was cropped using the standard EEA frame f4c_n.\nCHANGES:The dataset was built from the SRTM90_ELEVATION_F1v0, product of EEA The dataset was resampled to 100 meters.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "The current dataset is a combination of SRTM 90 and DTED data. The Shuttle Radar Topography Mission (SRTM) obtained elevation data on a near-global scale to generate the most complete high-resolution digital topographic database of Earth. SRTM consisted of a specially modified radar system that flew onboard the Space Shuttle Endeavour during an 11-day mission in February of 2000. SRTM is an international project spearheaded by the National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA). Version 2 of the Shuttle Radar Topography Mission digital topographic data (also known as the \"finished\" version). was used for generation of this dataset. Version 2 is the result of a substantial editing effort by the National Geospatial Intelligence Agency and exhibits well-defined water bodies and coastlines and the absence of spikes and wells (single pixel errors), although some areas of missing data ('voids') are still present. The Version 2 directory also contains the vector coastline mask derived by NGA during the editing, called the SRTM Water Body Data (SWBD), in ESRI Shapefile format. DTED (or Digital Terrain Elevation Data) was originally developed in the 1970s to support aircraft radar simulation and prediction. DTED supports many applications, including line-of-sight analyses, terrain profiling, 3-D terrain visualization, mission planning/rehearsal, and modeling and simulation. DTED is a standard NGA product that provides medium resolution, quantitative data in a digital format for military system applications that require terrain elevation. The DTED format for level 0, 1 and 2 is described in U.S. Military Specification Digital Terrain Elevation Data (DTED) MIL-PRF-89020B, and amongst others describe the resolution: Level 0 used for geneation of this dataset has a post spacing of 30 arcseconds in latitude direction (ca. 900 meters)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Geographical grid systems", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "EEA reference grid for Cyprus (1km), May 2013", "restApi": null, "label": 1329, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_1_km_eea-ref-grid-cy_2013", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52\u00b0N, longitude of origin 10\u00b0E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2013, "tend": 2013, "abstract": "The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "396a3e2c-3542-4cdd-a6cf-63da91b2e6ff", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/396a3e2c-3542-4cdd-a6cf-63da91b2e6ff.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Nature Value Farmland - Natura 2000", "restApi": null, "label": 1330, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/396a3e2c-3542-4cdd-a6cf-63da91b2e6ff", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_hnv-n2k_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Check .pdf document", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "the grid contains the reselection of CLC2000 classes in selected NATURA2000 sites (resolution 100 m)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "871dce9f-5082-4d4a-b130-b58e20769449", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/871dce9f-5082-4d4a-b130-b58e20769449.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "High Nature Value Farmland - Important Bird Areas", "restApi": null, "label": 1331, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/871dce9f-5082-4d4a-b130-b58e20769449", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_100_m_hnv-iba_2005-2007", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "Check .pdf document", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2005, "tend": 2007, "abstract": "The grid contains the reselection of CLC2000 classes in selected Important Bird Areas (resolution 100 m)", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "15f4833f-02f5-4246-aab7-222a82eb3637", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes|Species distribution", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/15f4833f-02f5-4246-aab7-222a82eb3637.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Conservation status of species 2007-2012 for public access, Sep. 2014", "restApi": null, "label": 1332, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).\n\nCopyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/15f4833f-02f5-4246-aab7-222a82eb3637", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_cons-status-species-public_2007-2012", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Commission", "distributionFormat": "FGeo", "sdiElon": null, "lineage": "The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2007, "tend": 2012, "abstract": "Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. \n\nAll Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest.\n\nArticle 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest.\n\nThis version does not include species flagged as sensitive by Member States.\n\nInformation on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.\n\nThe data are available in the table ART17_SD_without_sensitive of the database.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "84036394-19fc-466f-bc4b-b0748d5d29f4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/84036394-19fc-466f-bc4b-b0748d5d29f4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Hillshade Europe DEM", "restApi": null, "label": 1333, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/digital-elevation-model-of-europe", "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84036394-19fc-466f-bc4b-b0748d5d29f4", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_777100_100_m_hillshade_1996", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data set was compiled by EEA and is derived from the GTOPO30 dataset (http://edcdaac.usgs.gov/gtopo30/gtopo30.html). The DTM was converted to raster (georefernced tiff) using Arcview and Grid Pig extension. The Caspian Sea border, the Africa depression and some areas from the Netherlands, all under sea level were corrected.\n\t\t\t\t The DTM was hillshaded using ArcMap and Spatial Analyst using following parametres: Azimuth: 315, Altitude: 45, Model shadows: Yes, Z factor: 10, Cell size: 1000 m.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This is a cropped DTM version (with Frame2c) for providing topographic backgrouds on EEA maps.\nThis is a hillshade of global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer).", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d047cdb1-a62b-4299-8469-9038519430c0", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Elevation", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d047cdb1-a62b-4299-8469-9038519430c0.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 Coastline", "restApi": null, "label": 1334, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": "https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-coastline", "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d047cdb1-a62b-4299-8469-9038519430c0", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_clc-coastline_2000", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The shape of this european coastline is based on the Corine Land Cover 2000 features. The intersection between Corine Land Cover 'sea and ocean' class and any other class was selected as the 'initial coastline'. Then the classes 'estuaries' and 'intertidal flats' were added to the marine environment if they were connected to the sea, having a direct connection to the sea, or through other 'estuaries' or 'intertidal flats'. This is the shape of the coastline, that has inherited the Corine Land Cover class attribute as well. The attributes from Eurosion coastline were added. Through a simple allocation process from the Eurosion coastline segments, and a identity procedure afterwards, the coastline was splitted in more segments, each of those inheriting the correspondent eurosion segment code.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Complete Coastline Features for all the countries that produced Corine Land Cover 2000 and have a coastline, with detailed descriptions on the environment and type of coastal areas. Each coast segment has inherited CLC 2000 class, and also the attributes from Eurosion Coastline version 2.1 2004, regarding geomorphology, type of coast and erosion trends.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "24cdf846-e0d3-4884-84c7-9930d5b29c38", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/24cdf846-e0d3-4884-84c7-9930d5b29c38.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Lacoast - Land cover change in coastal areas 1975-1990", "restApi": null, "label": 1335, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/24cdf846-e0d3-4884-84c7-9930d5b29c38", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_777101_100_m_lacoast_1975-1990", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "100m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AIG", "sdiElon": null, "lineage": "n/a", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "LaCoast is a research project undertaken in the mid 1990 under the lead of the Joint Research Centre (JRC) and aimed at quantifying the changes of land cover types in a 10 km land strip from the coastline. LaCoast uses CORINE Land Cover version 1990 as its reference dataset and track differences of land cover changes using LANDSAT satellite images from the mid-1970's.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "84e3a274-beff-40c1-bb40-c97afb8473d6", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Statistical units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/84e3a274-beff-40c1-bb40-c97afb8473d6.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "NUTS 2006 plus Balkan Countries", "restApi": null, "label": 1336, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84e3a274-beff-40c1-bb40-c97afb8473d6", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_4258_100_k_nutsx_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Input Data from GISCO, NUTS 2006 version 010210, in particular the polygon version NUTS_RG_100K_2006 together with NUTS_AT_2006 where all the definitions are stored. The dataset was modified in order to include this information into the LEAC System. Country boundaries for the Balkan countries were extracted from the previous version of LEAC NUTS 2003 (nuts_balkan_countries) and included in this new version. Furthermore other changes were made in order to complete the dataset coverage with islands, lakes, etc. The final dbf table includes all the relationships among different NUTS levels as well as a combination of NUTS 0 2 and 3 called NUTS X.\nprocess steps:\n-Data was disaggregated by the field: \"STAT_LEVL_CODE\" into Country, NUTS 1, NUTS 2, NUTS 3. -Intersection of the four different layers: NUTS 0, 1, 2 and 3, in order to have all the definitions and relationships in one table.\n\n-Generation of NUTS Definition Tables for NUTS according to the previous definition tables for 2003 used in LEAC cubes.\n\nSome inconsistencies were found in the original file so they were fixed using the geometries from NUTS 2003 (nuts_balkan_countries). -Some isles were included: Man Island, Faroe Islands, -Some countries were missing or they were part of another countries such as: Monaco (It was included in France territory), San Marino (no data), Vatican City (no data), Andorra (no data), all these errors were corrected. - Boundaries for Balkan countries: Bosnia & Herzegovina, Serbia, Albania, Montenegro, Macedonia, Kosovo, were extracted from \"nuts_balkan_countries.shp\". - Lakes were extracted from NUTS_BN_100K_2006 Polyline. To complete the dataset missing lakes were extracted from \"nuts_balkan_countries.shp\" and included in the final version.", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The 'GISCO NUTS 2006' dataset represents the NUTS regions by means of region, arc and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualise multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The Regulation (EC) No 1059/2003 of the European Parliament and of the Council on the establishment of a common classification of territorial units for statistics (NUTS) was enforced the 11 July 2003. This regulation provided the NUTS classification with a legal background. Since then, 12 new countries joined the European Union. The NUTS regulation was officially enforced in these 12 countries the day of their accession to the EU. A non official NUTS-like classification has been defined for the EFTA countries, Croatia and Turkey. For further information about the NUTS classification please check the RAMON Eurostat site at http://ec.europa.eu/comm/eurostat/ramon/nuts/home_regions_en.html At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions while the points provide a label for each region. Associated tables contain basic information such as the region's name. This feature class represents the polygon geometry of the 1:100.000 scale level of the NUTS regions. This shapefile was modified by the ETC-LUSI with the purpose of including this dataset into the LEAC System.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5f9a77a6-8f6f-4551-a158-82e138336a6f", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f9a77a6-8f6f-4551-a158-82e138336a6f.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Administrative Unit Layers (GAUL), first level (level 1) for reference year 2008 - version 2009, Dec. 2008", "restApi": null, "label": 1337, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f9a77a6-8f6f-4551-a158-82e138336a6f", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "fao_v_4326_1_mio_gaul1_2008_rev2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "Postgis", "sdiElon": null, "lineage": "The overall methodology consists in\n\t\t\t\t a) collecting the best available data from most reliable sources,\n\t\t\t\t b) establishing validation periods of the geographic features (when possible),\n\t\t\t\t c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS),\n\t\t\t\t d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf)\nBecause the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf).\nThe coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.\nThe GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels.\n\nThe GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data.\nAbout 21 countries have been updated respect to the previous release (see countries_updated.dbf).\nThe GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named \"GAUL Set\" (see Gaul_Set.pdf).\n\nThe original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "074b8e76-5e49-467c-aa30-ed013afd41a9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/074b8e76-5e49-467c-aa30-ed013afd41a9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Administrative Unit Layers (GAUL), national level (level 0) for reference year 2008 - version 2009, Dec. 2008", "restApi": null, "label": 1338, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/074b8e76-5e49-467c-aa30-ed013afd41a9", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "fao_v_4326_1_mio_gaul0_2008_rev2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "Postgis", "sdiElon": null, "lineage": "The overall methodology consists in\n\t\t\t\t a) collecting the best available data from most reliable sources,\n\t\t\t\t b) establishing validation periods of the geographic features (when possible),\n\t\t\t\t c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS),\n\t\t\t\t d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf)\nBecause the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf).\nThe coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.\nThe GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels.\n\nThe GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data.\nAbout 21 countries have been updated respect to the previous release (see countries_updated.dbf).\nThe GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named \"GAUL Set\" (see Gaul_Set.pdf).\n\nThe original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "68d5de61-3af4-4520-a877-49580c98c583", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Administrative units", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/68d5de61-3af4-4520-a877-49580c98c583.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Global Administrative Unit Layers (GAUL), second level (level 2) for reference year 2008 - version 2009, Dec. 2008", "restApi": null, "label": 1339, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68d5de61-3af4-4520-a877-49580c98c583", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "fao_v_4326_1_mio_gaul2_2008_rev2009", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:1000000", "contactOrganisation": null, "distributionFormat": "Postgis", "sdiElon": null, "lineage": "The overall methodology consists in\n\t\t\t\t a) collecting the best available data from most reliable sources,\n\t\t\t\t b) establishing validation periods of the geographic features (when possible),\n\t\t\t\t c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS),\n\t\t\t\t d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf)\nBecause the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf).\nThe coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units.\nThe GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels.\n\nThe GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data.\nAbout 21 countries have been updated respect to the previous release (see countries_updated.dbf).\nThe GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named \"GAUL Set\" (see Gaul_Set.pdf).\n\nThe original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "cdb7af74-b12d-49f5-b716-bd64c7a0f864", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Soil", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cdb7af74-b12d-49f5-b716-bd64c7a0f864.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Nitrate Vulnerable Zones", "restApi": null, "label": 1340, "associatedResources": null, "sdiUseLimitation": "License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cdb7af74-b12d-49f5-b716-bd64c7a0f864", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "jrc_v_4258_100_k_nvz_2006", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": null, "distributionFormat": "SHP", "sdiElon": null, "lineage": "Data quality depends from data provided by Member States", "crs": null, "rodUrl": null, "tbegin": null, "tend": null, "abstract": "Data on designated nitrate vulnerable zones as submitted by Member States for monitoring progress of implementation of the Nitrate Directive (Council Directive 91/676/EEC of 12 December 1991 concerning the protection of waters against pollution caused by nitrates from agricultural sources). This Directive has the objective of reducing water pollution caused or induced by nitrates from agricultural sources and preventing further such pollution. Waters affected by pollution and waters which could be affected by pollution if action pursuant Article 5 is not taken shall be identified by the Member States in accordance with the criteria set out in Annex I.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b98e32ad-f316-4a80-a176-30cba8bab017", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|wood", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS woodland, forest and other wooded land habitats, Braun-Blanquet project plot data (vector) - series", "restApi": null, "label": 1341, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b98e32ad-f316-4a80-a176-30cba8bab017", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-b_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all EUNIS woodland, forest and other wooded land habitat types samples from vegetation plot data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d53acab8-6e1e-4703-b519-030212284f1c", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d53acab8-6e1e-4703-b519-030212284f1c.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS heathland, scrub and tundra habitats, predicted potential distribution of habitat suitability (raster) - series", "restApi": null, "label": 1342, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d53acab8-6e1e-4703-b519-030212284f1c", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-f_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "GTiff", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "af43952c-393b-426f-8660-01fccdf758eb", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "forest|natural area|wood", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability (raster) - series", "restApi": null, "label": 1343, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af43952c-393b-426f-8660-01fccdf758eb", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS woodland, forest and other wooded land habitat suitability.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "5bd6041e-ccad-42aa-b042-0596fbbae97d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/936e55b2-7624-4b67-b1e6-6e40366b3a10.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal environment|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, predicted potential distribution of habitat suitability (raster) - series", "restApi": null, "label": 1344, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bd6041e-ccad-42aa-b042-0596fbbae97d", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat suitability.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "c7cb5abf-0a64-4dff-89f9-da1002e1fd6a", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal environment|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS coastal habitats, Braun-Blanquet project plot data (vector) - series", "restApi": null, "label": 1345, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all EUNIS coastal habitat types samples from vegetation plot data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "936e55b2-7624-4b67-b1e6-6e40366b3a10", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/936e55b2-7624-4b67-b1e6-6e40366b3a10.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "coastal environment|natural area|terrestrial ecosystem", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS coastal habitats, predicted potential distribution of habitat suitability (raster) - series", "restApi": null, "label": 1346, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/936e55b2-7624-4b67-b1e6-6e40366b3a10", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_r_3035_1_km_eunis-hab-b_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1000m", "contactOrganisation": "European Environment Agency", "distributionFormat": "AAIGrid", "sdiElon": null, "lineage": "The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species\u2019 geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \nThe Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references the predicted potential distribution of EUNIS coastal habitat suitability.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "b0767dbe-43cf-4294-8d89-f99f18d872ae", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Habitats and biotopes", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0767dbe-43cf-4294-8d89-f99f18d872ae.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": "heathland|natural area|terrestrial ecosystem|tundra", "sdiCentroidLon": null, "temporalCoverage": null, "title": "EUNIS heathland, scrub and tundra habitats, Braun-Blanquet project plot data (vector) - series", "restApi": null, "label": 1347, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0767dbe-43cf-4294-8d89-f99f18d872ae", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_10_mio_eunis-hab-f_1940-2011_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:10000000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 1940, "tend": 2011, "abstract": "This series references all heathland, scrub and tundra habitat types samples from vegetation plot data.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "d9aaec80-0d51-42de-97ba-11ab219c2ba4", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9aaec80-0d51-42de-97ba-11ab219c2ba4.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 (raster 250m) - series", "restApi": null, "label": 1348, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. 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In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "9c50e16b-a1e3-464f-8394-ecb3a709601d", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c50e16b-a1e3-464f-8394-ecb3a709601d.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2006 (raster 250m) - series", "restApi": null, "label": 1349, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. 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In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. 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The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. 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In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "a980e731-fc2a-4a66-992f-d634b733c9a9", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a980e731-fc2a-4a66-992f-d634b733c9a9.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 100m) - series", "restApi": null, "label": 1351, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all versions of Corine Land Cover 1990, raster 100m starting with version 13.\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. \n\nCLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all versions of Corine Land Cover 1990 - 2000 changes vector starting with version 13.\n\nThe Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. 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The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "This series references all versions of Corine Land Cover 2006 seamless vector starting with version 13.\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. \n\nCLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "344865b4-006e-47a4-a642-ea53ea130842", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/344865b4-006e-47a4-a642-ea53ea130842.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 (raster 250m) - series", "restApi": null, "label": 1354, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. 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In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "4bdac4bb-1a12-41f1-9bdd-efe44057184b", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4bdac4bb-1a12-41f1-9bdd-efe44057184b.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 - 2006 changes (vector) - series", "restApi": null, "label": 1355, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "TRUE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "vector", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bdac4bb-1a12-41f1-9bdd-efe44057184b", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "eea_v_3035_100_k_clc-changes_2000-2006_series", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "1:100000", "contactOrganisation": "European Environment Agency", "distributionFormat": "SHP", "sdiElon": null, "lineage": "Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2006, "abstract": "This series references all versions of Corine Land Cover 2000 - 2006 changes vector starting with version 13.\n\nCORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time \u2212 currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.\n\nThe layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.\n\nCLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-28" }, { "sdiUuid": "9eff47ae-a31b-479e-9069-d1ac3d52e293", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9eff47ae-a31b-479e-9069-d1ac3d52e293.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 1990 seamless (vector) - series", "restApi": null, "label": 1356, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "109c92a4-e9a0-4d87-895c-02df9f241b59", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Land cover", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/109c92a4-e9a0-4d87-895c-02df9f241b59.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "Corine Land Cover 2000 seamless (vector) - series", "restApi": null, "label": 1357, "associatedResources": null, "sdiUseLimitation": "EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). 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All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).", "crs": "EPSG:3035", "rodUrl": null, "tbegin": 2000, "tend": 2000, "abstract": "This series references all versions of Corine Land Cover 2000 seamless vector starting with version 13.\n\nWith the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. \n\nCLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.", "interactiveDataViewer": null, "staticMapViewer": null, "webmapViewer": null, "status": null, "legislativeInstrument": null, "webmapService": null, "placesCovered": null, "publicationDate": "2019-06-04" }, { "sdiUuid": "ceba8505-c9ee-4cdd-a939-b135c7691203", "indicatorTitle": null, "sdiWlon": null, "inspireThemes": "Population distribution \u2014 demography", "topics": null, "rod": null, "geoJsonPoint": "", "dataLatestVersion": null, "sdiCentroidLat": null, "rodFlag": "FALSE", "dataProductID": null, "indicatorCodes": null, "referenceFlag": "FALSE", "thumbnailUrl": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ceba8505-c9ee-4cdd-a939-b135c7691203.png", "shortName": null, "fileSystemPath": null, "gemetConcepts": null, "sdiCentroidLon": null, "temporalCoverage": null, "title": "LandScan Global Population Database 2008", "restApi": null, "label": 1358, "associatedResources": null, "sdiUseLimitation": "Single User License", "indicatorFlag": "FALSE", "legislativeInstrumentUrl": null, "isCoreFlag": "FALSE", "timeSeriesAvailability": "FALSE", "indicatorUrl": null, "sdiSlat": null, "sdiNlat": null, "idpTopics": null, "dataUrl": null, "format": "grid", "sdiUrl": "http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ceba8505-c9ee-4cdd-a939-b135c7691203", "isRestricted": "FALSE", "contactPerson": null, "geoJsonPoly": "", "sdiDatasetId": "ornl_r_4326_30_arcsec_landscan_2008", "managementPlan": null, "legislativeInstrumentFlag": "FALSE", "spatialResolution": "0.008333333333deg", "contactOrganisation": null, "distributionFormat": "AIG", "sdiElon": null, "lineage": "The methodology is documented at http://www.ornl.gov/sci/landscan/landscan_documentation.shtml", "crs": "EPSG:4326", "rodUrl": null, "tbegin": null, "tend": null, "abstract": "LandScan Global Population Database 2008. 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