High-Resolution Maps (10 m) of Cropland Soil Organic Carbon and Clay in Germany based on Sentinel-2 Data

This dataset contains predictions and uncertainty maps of the cropland soil organic carbon and clay, derived at a 10 m resolution for Germany. The following soil properties were mapped using topsoil samples (0 – 30 cm) from the German Agricultural Soil Inventory (BZE-LW) (Poeplau et al. 2020): Soil organic carbon stock (Mg ha-1) Soil organic carbon content (g kg-1) Clay content (mass%) Support vector machines were trained based on a 10 m Sentinel-2 Bare Soil Composite, using the methods described in Broeg et al. (2025, PREPRINT). Uncertainty maps were derived based on the 95 % prediction intervals (standard deviation × 1.96) of the cross-validation models. The map extent covers all areas in Germany that are defined as agricultural land, according to ATKIS Basis-DLM (Geobasisdaten: © GeoBasis-DE / BKG, 2025). Raster maps are provided as Cloud Optimized GeoTIFF (COG). References BKG, Bundesamt für Kartographie und Geodäsie (2025). Digitales Basis-Landschaftsmodell.https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/basis-dlm.pdf (last accessed: 15. May 2025). Broeg, T., Don, A., Scholten, T., Erasmi, S. (2025). Reducing Bias in Cropland Soil Organic Carbon and Clay Predictions using Sentinel-2 Composites and Data Balancing. https://doi.org/10.31223/X50M91 Poeplau, C., Jacobs, A., Don, A., Vos, C., Schneider, F., Wittnebel, M., Tiemeyer, B., Heidkamp, A., Prietz, R., & Flessa, H. (2020). Stocks of organic carbon in German agricultural soils—Key results of the first comprehensive inventory. Journal of Plant Nutrition and Soil Science, 183(6), 665–681. https://doi.org/10.1002/jpln.202000113