cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.4643ef04-e299-4ed2-b03d-f16624ce2f29
22351282
en
Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.0)
!!! Please check out the newer version in this repository !!! Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.7.
en
21028763
Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6.
(current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6 (v1.5)
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.b583e418-92c3-4e34-9f1b-de7f8823234c
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.1433230e-25d2-40e4-b512-f9216f158c62
Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.7.
en
(current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.5)
22951009
!!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; other LC classes are masked out from the map
773453532
Cropland and grassland map of Switzerland (v.1.0)
en
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.0bb5fc4c-8331-4851-81fb-6c8b5f331207
(1) cropland; (2) grassland; other LC classes are masked out from the map
(current version) Cropland and grassland map of Switzerland (v.1.5)
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.05a74913-fbe7-477a-9d8a-d1e4f97c30c2
en
36873826
12925
The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland. Compare to the previous version the newer version includes the shadow masking procedure which might be important in the mountainous areas.
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.44ff8fb6-ac93-4278-a645-9a1e81d1ce2f
GEE (Google Earth Engine) script (JavaScript) to derived the output map (v1.5)
en
!!! Please check out the newer version in the repository !!! The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland
en
GEE (Google Earth Engine) script (JavaScript) to derived the output map (v1.0)
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.5b8620ec-a059-4f05-a131-c559049e5a44
10103
cropland
en
2021-01-23T17:12:00+00:00
phenology
en
Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6 (v1.0)
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.b358e0ad-50c8-45a8-b4fd-98ccf6d59532
20469824
!!! Please check out the newer version in the repository !!!
Mask of unsealed surfaces of Switzerland based on 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6
EnviDat Support
Cropland and grassland map of Switzerland based on Sentinel-2 data
Cropland, grassland, and shrubland map of Switzerland (v1.0)
!!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; (3) shrubland; other LC classes are masked out from the map
en
773453532
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.63a7c7f1-af24-49eb-a082-2f9244034b19
vegetation-indices
machine-learning
sentinel-2
EnviDat
remote-sensing
switzerland
agriculture
grassland
Robert PazĂșr
(current version) Cropland, grassland, and shrubland map of Switzerland (v.1.5)
46196707
(1) cropland; (2) grassland; (3) shrubland; other LC classes are masked out from the map
cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data.014565ae-748b-4f64-bf14-53443386cf56
en
habitat
2021-03-29T10:27:29+00:00
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.
00ff9ac3-c96b-4cb5-a300-b205ad9698cc@envidat