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
eDNAcheck : assessing the plausibility of species detections in molecular biodiversity data [Datenpublikation]
Literatur
Beng KC, Achuo RA, Kasmi Y, Sell AF, Akimova A, Laakmann S (2025) eDNAcheck : assessing the plausibility of species detections in molecular biodiversity data [Datenpublikation]. 1 ZIP archive. Genève: Zenodo, DOI:10.5281/zenodo.17462776
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Cord AF, Fricke U, Dauber J, Mupepele A-C, Feuerbacher A, Temperton VM, Patru-Duse IA, Kirmer A, Fick J, Westphal C, Hass A, Schüler S, Poppenborg Martin E, Vierling A, Kernecker M, Wätzold F, Weißhuhn P, Holzhauer SI, Busse M, Sietz D, et al (2025) So gelingt transdisziplinäre Forschung für eine nachhaltige Agrarwende. Genève: Zenodo, 23 p, DOI:10.5281/zenodo.17749060
Litterfall data and hemispherical photos for LAI-calculation on an oak stand at the Intensive Forest Monitoring Station Britz, Brandenburg, 2024 - 2025 [Datenpublikaton]
Literatur
Natkhin M, Bahr A, Christen B, Sauer C, Czekalla J (2025) Litterfall data and hemispherical photos for LAI-calculation on an oak stand at the Intensive Forest Monitoring Station Britz, Brandenburg, 2024 - 2025 [Datenpublikaton]. 1 ZIP archive. Genève: Zenodo, DOI:10.5281/zenodo.17661804
