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Environmental information systems
Productivity change due to land use (2000-2019)
Chart (static)
Notes:
The bar chart shows changes in land productivity dynamics in areas affected by land use change in the period 2000-2019.
Only major land use changes are displayed, which impacted more than 500km2.
Productivity changes are expressed in % derived from the fitted linear regression model and are broken down by land use change categories.
lcf: land cover flow
Downloads
Data sources
Metadata
More info
- Annual above ground vegetation productivity time-series, European Environment Agency (EEA)
- Austria
- Belgium
- Bulgaria
- Croatia
- Cyprus
- Czechia
- Denmark
- Estonia
- Finland
- France
- Germany
- Greece
- Hungary
- Ireland
- Italy
- Latvia
- Lithuania
- Luxembourg
- Malta
- Netherlands
- Poland
- Portugal
- Romania
- Slovakia
- Slovenia
- Spain
- Sweden
- United Kingdom
2000-2019
Unit
Changes are expressed in % of the fitted linear trend line.
Methodology
Standardized anomalies of yearly vegetation productivity during 2000-2019 are analysed in areas with drought pressure due to low soil moisture content. Anomalies are expressed in standard deviations compared to the long term average vegetation productivity conditions for each 500m grid cell in the EEA-39 region. The size of the impacted area is calculated from the sum of those grid cells where both the soil moisture and the vegetation productivity anomaly was below -1 standard deviation in the given year. The vegetation index used in the indicator is the Plant Phenology Index (PPI, Jin and Eklundh, 2014). PPI is based on the MODIS Nadir BRDF-Adjusted Reflectance product (MODIS MCD43 NBAR. The product provides reflectance data for the MODIS “land” bands (1-7) adjusted using a bi-directional reflectance distribution function. This function models values as if they were collected from a nadir-view to remove so called cross-track illumination effects. The product is distributed with 500 m pixel size (MODIS Sinusoidal Grid) with 8-days compositing period. The web map service was derived from a 16 bit time series.
Reference: Jin, H., Eklundh, L. (2014): A physically based vegetation index for improved monitoring of plant phenology, Remote Sensing, 152, 512–525. Inpout to the PPI index was from MODIS NDVI.