Ultimo aggiornamento
marzo 29,2021
Condizioni d'uso
Open use. Must provide the source.

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.

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Informazioni aggiuntive

Identificatore
00ff9ac3-c96b-4cb5-a300-b205ad9698cc@envidat
Data di rilascio
gennaio 23,2021
Data di modifica
marzo 29,2021
Editore
École polytechnique fédérale de Lausanne
Punti di contatto
Lingue
Inglese
Addizionali informazioni
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Landing page
https://www.envidat.ch/#/metadata/cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data
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