Forest Type NFI

DOI

This dataset presents an remote sensing based approach for a countrywide mapping of broadleaved and coniferous trees in Switzerland with a spatial resolution of 3 m x 3 m. The data available is a raster of 25 m x 25 m with the fraction of broadleaf trees. 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%).

Identifier
DOI https://doi.org/10.16904/1000001.3
Source https://www.envidat.ch/dataset/forest-type-nfi
Metadata Access https://www.envidat.ch/oai?verb=GetRecord&metadataPrefix=datacite&identifier=oai:envidat.ch:82d763fa-123a-4648-b827-0dec02a5efbc
Provenance
Creator Lars Waser (Swiss Federal Institute for Forest, Snow and Landscape Research WSL); Christian Ginzler (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)
Publisher National Forest Inventory (NFI)
Contributor Lars Waser; EnviDat
Publication Year 2018
Funding Reference Federal Office for the Environment (FOEN).
Rights Other (Specified in the description)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type Dataset
Format TXT; PDF; JPEG
Size 88 bytes; 3072776 bytes
Version 2016 (current)
Discipline Environmental Research
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N); Switzerland