The DLR CropTypes maps (Version 2.0) are raster data sets that display the cultivated main crop in Germany per year since 2017.
The analysis is based on temporal features (monthly statistics) of gap-filled Sentinel-2 and Sentinel-1 images time series. The overall 216 multispectral and 48 SAR Features are used together with reference data generated from LPIS data sets from some German Federal States in a Random Forest model. Non-cropland areas are masked based on a mask generated from official and OSM land cover data. The classification result is post-processed using temporal and spatial filtering techniques and rule-based corrections. More details and the underlying methodology can be found in Gessner et al. 2025 and Asam et al. 2022.
The dataset is provided in the format of 8-bit Cloud Optimized GeoTiff files in the WGS 1984 UTM (Zone 32N) projection (EPSG:32632), with a pixel size of 10 m and each file covering the whole of Germany.
The legend specifying the meaning of the class code is given below.
The CropTypes maps are licensed under CC-BY-4.0.
When using this data set, please refer to:
Gessner, U.; Hirner, A.; Asam, S.; Wenzl, M.; Kuenzer, C. Combining Machine Learning and Spatio-Temporal Filtering to Map Crop Types of Germany for Seven Years. IEEE Geosciences and Remote Sensing Letters, 2025, 22, 2504805. DOI: 10.1109/LGRS.2025.3587517
Asam, S.; Gessner, U.; Almengor González, R.; Wenzl, M.; Kriese, J.; Kuenzer, C. Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data. Remote Sens. 2022, 14, 2981. https://doi.org/10.3390/rs14132981
For further information please contact: ursula.gessner@dlr.de
Attributes
Class - Crop Type (DEU) / Crop Type (ENG)
0 - no data / no data
11 - Winterweizen / winter wheat
12 - Wintergerste / winter barley
13 - Winterroggen / winter rye
14 - Sonstiges Wintergetreide / other winter cereals
21 - Sommerweizen / spring wheat
22 - Sommergerste / spring barley
23 - Sommerhafer / spring oat
30 - Mais / maize
40 - Leguminosen / legumes
41 - Soja / soybeans
42 - Lupinen / lupins
50 - Kartoffeln / potatoes
60 - Zuckerrüben / sugar beet
71 - Raps / rapeseed
72 - Sonnenblumen / sunflowers
83 - Grünland / permanent grassland
84 - Futterpflanzen / forage
90 - Wein / vineyard
120 - Gemüse/Erdbeeren / vegetables/strawberries
100 - Obst- und Feldgehölz / fruit trees and other woody vegetation
110 - Hopfen / hops
111 - Sonstige landwirtschafte Nutzung / other agricultural use
Gessner, U.; Hirner, A.; Asam, S.; Wenzl, M.; Kuenzer, C. Combining Machine Learning and Spatio-Temporal Filtering to Map Crop Types of Germany for Seven Years. IEEE Geosciences and Remote Sensing Letters, 2025, 22, 2504805.
Show PublicationAsam, S.; Gessner, U.; Almengor González, R.; Wenzl, M.; Kriese, J.; Kuenzer, C. Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data. Remote Sens. 2022, 14, 2981. DOI: 10.3390/rs14132981
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Crop Type Maps Germany, Yearly
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Further Datasets from Datagroup Land Cover - Germany
The EOC provides comprehensive information on physical material at the Earth's surface, including vegetation, water, bare ground, and human-made structure for Germany.
Further Datasets of Topic Land Surface
Data related to land cover and land use patterns and their temporal dynamics.
