Wirtschaftszahlen (Stand: 15.05.2025) [Datenpublikation]
Literatur
Thünen-Institut (2025) Wirtschaftszahlen (Stand: 15.05.2025) [Datenpublikation]. 1 XLSX-Datei. Genève: Zenodo, DOI:10.5281/zenodo.15424872
Wirtschaftszahlen der GJAE-Ausgabe 3/2024 (aktualisierter Stand: 15.11.2024) : Version 2 [Datenpublikation]
Literatur
Thünen-Institut (2025) Wirtschaftszahlen der GJAE-Ausgabe 3/2024 (aktualisierter Stand: 15.11.2024) : Version 2 [Datenpublikation]. 1 XLSX-Datei. Genève: Zenodo, DOI:10.5281/zenodo.14967000
The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient [Datenpublikation]
Literatur
Schroeder J (2025) The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient [Datenpublikation]. 4 CSV files, 1 XLSX file, 8 R files, 1 Rproj file, 1 TXT file. Genève: Zenodo, DOI:10.5281/zenodo.13271731
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2023) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2025) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2023) [Datenpublikation]. 1 ZIP archive; Version 201. Genève: Zenodo, DOI:10.5281/zenodo.15055561
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2023) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2025) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2023) [Datenpublikation]. 1 ZIP archive; Version 202. Genève: Zenodo, DOI:10.5281/zenodo.15309479
Agricultural land use (vector) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2023) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2025) Agricultural land use (vector) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2023) [Datenpublikation]. 1 ZIP archive; Version 201. Genève: Zenodo, DOI:10.5281/zenodo.17135735
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2024) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2025) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2024) [Datenpublikation]. 1 ZIP archive; Version 201. Genève: Zenodo, DOI:10.5281/zenodo.16949898
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2024) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2025) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2024) [Datenpublikation]. 1 ZIP archive; Version 201. Genève: Zenodo, DOI:10.5281/zenodo.17122420
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2024) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2025) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2024) [Datenpublikation]. 1 ZIP archive; Version 202. Genève: Zenodo, DOI:10.5281/zenodo.17122646
Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat time series for the year 2023 [Datenpublikation]
Literatur
Schwieder M, Lobert F, Tetteh GO, Erasmi S (2025) Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat time series for the year 2023 [Datenpublikation]. 1 ZIP archive; Version 1. Genève: Zenodo, DOI:10.5281/zenodo.16941138