- Zuletzt aktualisiert
- 29. März 2021
- Nutzungsbedingungen
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- Organisation
- EnviDat: das Umwelt-Datenportal
- Kategorien
- Bildung, Kultur und Sport
Beschreibung
We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas.
Ressourcen
- TIFF Mask of unsealed surfaces of Switzerland based...
- TIFF Mask of unsealed surfaces of Switzerland based...
- SERVICE GEE (Google Earth Engine) script (JavaScript)...
- SERVICE GEE (Google Earth Engine) script (JavaScript)...
- TIFF Cropland, grassland, and shrubland map of...
- TIFF Cropland and grassland map of Switzerland ...
- GeoTIFF (current version) Mask of unsealed surfaces of...
- GeoTIFF (current version) Mask of unsealed surfaces of...
- GeoTIFF (current version) Cropland, grassland, and...
- GeoTIFF (current version) Cropland and grassland map of...
Zusätzliche Informationen
- Identifier
- 00ff9ac3-c96b-4cb5-a300-b205ad9698cc@envidat
- Publikationsdatum
- 23. Januar 2021
- Änderungsdatum
- 29. März 2021
- Publisher
- EnviDat
- Kontaktstellen
- Sprachen
- Englisch
- Weitere Informationen
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- Landing page
- https://www.envidat.ch/#/metadata/cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data
- Dokumentation
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- Zeitliche Abdeckung
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- Räumliche Abdeckung
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- Aktualisierungsintervall
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- Metadatenzugriff
- API (JSON) XML herunterladen
