Zuletzt aktualisiert
10. September 2021
Nutzungsbedingungen
Closed data

Beschreibung

Two versions of the data are currently available: 2018 and 2016.

The 2018 version presents a remote sensing-based approach for a countrywide mapping of the dominant leave type (DLT) with the two classes broadleaved and coniferous in Switzerland. The spatial resolution is 10 m with the fraction of the class broadleaf. The classification approach incorporates a random forest classifier, explanatory variables from multispectral Sentinel-2, multi-temporal Sentinel-1 data and a Digital Terrain Model (DTM) from Airborne Laser Scanning (ALS) data. The models were calibrated using digitized training polygons and independently validated data from the National Forest Inventory (NFI). Whereas high model overall accuracies (0.97) and kappa (0.96) were achieved, the comparison of the tree type map with independent NFI data revealed deviations in mixed stands.

In the 2016 version (3 m spatial resolution), the classification approach incorporates a random forest classifier, explanatory variables from multispectral aerial imagery and a Digital Terrain Model (DTM) from Airborne Laser Scanning (ALS) data, digitized training polygons and independent validation data from the National Forest Inventory (NFI). Whereas high model overall accuracies (0.99) and kappa (0.98) were achieved, the comparison of the tree type map with independent NFI data revealed significant deviations that are related to underestimations of broadleaved trees (median of 3.17%).

Ressourcen

Zusätzliche Informationen

Identifier
82d763fa-123a-4648-b827-0dec02a5efbc@envidat
Publikationsdatum
3. April 2018
Änderungsdatum
10. September 2021
Publisher
EnviDat
Kontaktstellen
Sprachen
Englisch
Weitere Informationen
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Landing page
https://www.envidat.ch/#/metadata/forest-type-nfi
Dokumentation
Zeitliche Abdeckung
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Räumliche Abdeckung
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Aktualisierungsintervall
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Metadatenzugriff
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