Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat time series for the year 2022 [Datenpublikation]
Literatur
Schwieder M, Lobert F, Tetteh GO, Erasmi S (2024) Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat time series for the year 2022 [Datenpublikation] [online]. 1 TIFF-Datei. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10610283
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2022) ; Version v201 [Datenpublikation]
Literatur
Schwieder M, Tetteh GO, Blickensdörfer L, Gocht A, Erasmi S (2024) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2022) ; Version v201 [Datenpublikation] [online]. 6 TIFF-Dateien, 1 PDF-Datei, 2 CLR-Dateien. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10628809
EuropaBON EBV workflow templates [Datenpublikation]
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Lumbierres M, Abecasis D, Alcaraz-Segura D, Alison J, Álvarez-Presas M, Anderle M, Avci F, Bajocco S, Baldo M, Beja P, Bergamini A, Bergami C, Blanco-Aguiar JA, Boada J, Bonn A, Borges PAV, Borgwardt F, Dahlkamp A, Hunger S, Kasmi Y, et al (2024) EuropaBON EBV workflow templates [Datenpublikation] [online]. 1 PDF-File. Genève: Zenodo, zu finden in [zitiert am 17.05.2024], DOI:10.5281/zenodo.10971094
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021) [Datenpublikation]
Literatur
Schwieder M, Tetteh GO, Blickensdörfer L, Gocht A, Erasmi S (2024) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021) [Datenpublikation] [online]. 5 TIFF-Files, 1 PDF-File, 2 CLR-Files. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10617623
Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2022) ; Version v202 [Datenpublikation]
Literatur
Schwieder M, Tetteh GO, Blickensdörfer L, Gocht A, Erasmi S (2024) Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2022) ; Version v202 [Datenpublikation] [online]. 1 TIFF-Dateien, 1 PDF-Datei, 2 CLR-Dateien. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10645427
Agricultural land use (vector) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2024) Agricultural land use (vector) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021) [Datenpublikation] [online]. 2 PDF-Dateien, 5 FGB-Dateien, 1 SLD-Datei. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10619783
Agricultural land use (vector) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2022) [Datenpublikation]
Literatur
Tetteh GO, Schwieder M, Blickensdörfer L, Gocht A, Erasmi S (2024) Agricultural land use (vector) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2022) [Datenpublikation] [online]. 1 FGB-Datei, 1 PDF-Datei, 1 SLD-Datei. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10621629
Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat time series for the years 2017 - 2021 [Datenpublikation]
Literatur
Schwieder M, Lobert F, Tetteh GO, Erasmi S (2024) Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat time series for the years 2017 - 2021 [Datenpublikation] [online]. 5 TIFF-Dateien. Genève: Zenodo, zu finden in [zitiert am 07.03.2024], DOI:10.5281/zenodo.10609590