- Ultimo aggiornamento
- marzo 29,2021
- Organizzazione
- EnviDat: il portale dei dati ambientali
- Categorie
- Istruzione, cultura e sport
Descrizione
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.
Risorse
- 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...
Informazioni aggiuntive
- Identificatore
- 00ff9ac3-c96b-4cb5-a300-b205ad9698cc@envidat
- Data di rilascio
- gennaio 23,2021
- Data di modifica
- marzo 29,2021
- Editore
- EnviDat
- Punti di contatto
- Lingue
- Inglese
- Addizionali informazioni
- -
- Landing page
- https://www.envidat.ch/#/metadata/cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data
- Documentazione
-
- Copertura temporale
- -
- Copertura spaziale
- -
- Intervallo di aggiornamento
- -
- Accesso ai metadati
- API (JSON) Scarica XML