DOI: 10.5281/zenodo.6451848
title: National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data (2020)

description: This data set contains information on the agricultural land use in Germany for the year 2020.<br> The map was derived from dense time series of Sentinel-2 and Landsat 8 data, Sentinel-1 monthly composites and addtional environmental data. It is based on the methods described in Blickensdörfer et al. 2022 and can be seen as a continuation of the dataset provided under: https://zenodo.org/record/5153047#.YWFyXn1CREZ.<br> The maps can be explored online in a webviewer. Due to specific user needs the class catalogue was slightly modified but a translation key (Table 1) and a translated map version (*_V1.tif) is provided. However, it has to be noted that some rather small classes in the previous maps were not differentiated anymore (e.g., onions, carrots, asparagus).Thus, the classes 34, 43, 92, 130, 140, 181 and 182 were excluded from the raster and legend files. Table 1: Updated class catalogue and translation key to the class catalogue used in Blickensdörfer et al. 2022. <strong>New class code (V2) </strong> <strong>Class name (V2)</strong> <strong>Class code (V1)</strong> <strong>Class name (V1)</strong> 1101 Winter wheat 31 Winter wheat 34 Other winter cereals 1102 Winter barley 33 Winter barley 1103 Winter rye 32 Winter rye 1201 Spring barley 41 Spring barley 43 Other spring cereals 1202 Oat 42 Spring oat 1300 Maize 91 Maize (silage) 92 Maize (grain) 1401 Potatoe 100 Potatoe 1402 Sugar beet 80 Sugar beet 1501 Rapeseed 50 Winter rapeseed 1502 Sunflower 70 Sunflower 1611 Peas 60 Legume 1612 Broad beans 1613 Lupine 1614 Soy 1603 Vegetables 120 Strawberry 130 Asparagus 140 Onion 181 Carrot 182 Other leafy vegetables 1602 Cultivated grassland 10 Grassland 200 Permanent grassland 3003 Fallow land 3001 Small woody features 555 Small woody features 3002 Other areas 999 Other agricultural areas 4001 Grapevine 110 Grapevine 4002 Hops 150 Hops 4003 Orchard 160 Orchards All optical satellite data were downloaded, pre-processed and structured in an analysis-ready data (ARD) cube using the open-source software FORCE - Framework for Operational Radiometric Correction for Environmental monitoring (Frantz, D., 2019; https://force-eo.readthedocs.io/en/latest/ last accessed: 12. April 2022), before environmental and SAR data were included in the ARD cube. The models were trained in FORCE and applied to all areas in Germany that were defined as agricultural land, small woody features, heathland or peatland in ATKIS DLM 2020 (Geobasisdaten: © GeoBasis-DE / BKG (2020)). Post-processing of the final maps included applying a sieve filter, the exclusion of classes other than grasslands and small woody features above 900 m (based on the Digital Elevation Model for Germany BKG (2015)) and the exclusion of grapevine and hops areas that were not labelled as the respective permanent crop in ATKIS DLM (BKG (2020); labelled as other agricultural areas in the final map). <br> The maps are provided as GeoTiff files together with QGIS legend files for visualization. References: Blickensdörfer, L., Schwieder, M., Pflugmacher, D., Nendel, C., Erasmi, S., & Hostert, P. (2022). Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sensing of Environment, 269, 112831 BKG, Bundesamt für Kartographie und Geodäsie (2015). Digitales Geländemodell Gitterweite 10 m. DGM10. https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/dgm10.pdf (last accessed: 28. April 2022). BKG, Bundesamt für Kartographie und Geodäsie (2018). Digitales Basis-Landschaftsmodell. <br> https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/basis-dlm.pdf (last accessed: 28. April 2022). Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124. National-scale crop type maps for Germany © 2022 by Schwieder, Marcel; Erasmi, Stefan; Nendel, Claas; Hostert, Patrick is licensed under CC BY 4.0.