Data

Vegetation growing season length 2000-2016

Data

Prod-ID: DAT-227-en

Created 08 Dec 2019 Published 16 Dec 2019 Last modified 18 Dec 2019

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The raster files are the annual above ground growing season length time-series and the derived linear trends for the period 2000-2016. The data set addresses trends in the season length of land surface vegetation derived from remote sensing observed time series of vegetation indices. 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 Plant Phenology Index (PPI) is a new vegetation index optimized for efficient monitoring of vegetation phenology. It is derived from radiative transfer solution using reflectance in visible-red (RED) and near-infrared (NIR) spectral domains. PPI is defined to have a linear relationship to the canopy green leaf area index (LAI) and its temporal pattern is strongly similar to the temporal pattern of gross primary productivity (GPP) estimated by flux towers at ground reference stations. PPI is less affected by presence of snow compared to commonly used vegetation indices such as Normalized Difference Vegetation Index (NDVI) or Enhanced Vegetation Index (EVI). The product is distributed with 500 m pixel size (MODIS Sinusoidal Grid) with 8-days compositing period.

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	Title	Size	Modified	State
Annual above ground vegetation season length time-series 2000-2016 - version 1, Aug. 2018	Annual above ground vegetation season length time-series 2000-2016 - version 1, Aug. 2018	1 KB	08 Jan 2020, 09:00 AM	Published
Trends in annual vegetation growing season length 2000-2016, version 1, Mar. 2019	Trends in annual vegetation growing season length 2000-2016, version 1, Mar. 2019	1 KB	18 Dec 2019, 11:12 AM	Published