Last updated
March 29, 2021
Terms of use
Open use. Must provide the source.

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.

Resources

Additional information

Identifier
00ff9ac3-c96b-4cb5-a300-b205ad9698cc@envidat
Issued date
January 23, 2021
Modified date
March 29, 2021
Publisher
École polytechnique fédérale de Lausanne
Contact points
Languages
English
Further information
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Landing page
https://www.envidat.ch/#/metadata/cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data
Temporal coverage
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Spatial coverage
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Update interval
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Metadata Access
API (JSON) Download XML

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