Dernière mise à jour
29 mars 2021
Conditions d'utilisation
Open use. Must provide the source.
Catégories
Education, science

Description

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.

Ressources

Informations complémentaires

Identifier
00ff9ac3-c96b-4cb5-a300-b205ad9698cc@envidat
Date de publication
23 janvier 2021
Date de modification
29 mars 2021
Editeur
École polytechnique fédérale de Lausanne
Points de contact
Langues
Anglais
Informations complémentaires
-
Landing page
https://www.envidat.ch/#/metadata/cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data
Couverture temporelle
-
Couverture spatiale
-
Intervalle d'actualisation
-
Accès aux métadonnées
API (JSON) Télécharger XML

Vous avez des questions?

Demandez directement à l'éditeur

EnviDat Support