This raster dataset shows the main type of crop grown on each field in Germany each year. Crop types and crop rotation are of great economic importance and have a strong influence on the functions of arable land and ecology. Information on the crops grown is therefore important for many environmental and agricultural policy issues. With the help of satellite remote sensing, the crops grown can be recorded uniformly for whole Germany. Based on Sentinel-1 and Sentinel-2 time series as well as LPIS data from some Federal States of Germany, 18 different crops or crop groups were mapped per pixel with 10 m resolution for Germany on an annual basis since 2018. These data sets enable a comparison of arable land use between years and the derivation of crop rotations on individual fields. More details and the underlying (in the meantime slightly updated) methodology can be found in Asam et al. 2022.

The datasets will also be available for Download soon.

DLR, EOC, LAX, Crops, Agriculture, Germany, Random Forest Classification, Multispectral, Radar, Spectral Statistics, Temporal Statistics

Name: ETRS89 / LAEA Europe (EPSG:3035)

Bounds: 4000000, 2650000, 4700000, 3550000