Forest Type NFI

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%).

Funding Information:

This work was supported by:
  • Federal Office for the Environment (FOEN).

Related Publications

  • Waser, L. T.; Rüetschi, M.; Psomas, A.; Small, D.; Rehush, N. Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries. ISPRS J. Photogramm. Remote Sens. 2021, 180, 209-226. doi.org/10.1016/j.isprsjprs.2021.08.017

Citation:

Waser, Lars; Ginzler, Christian (2021). Forest Type NFI. National Forest Inventory (NFI). doi:10.16904/1000001.7.

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Data and Resources

Metadata

Field Values
DOI 10.16904/1000001.7
Publication State Published
Authors
  • Email: lars.waserfoo(at)wsl.ch ORCID: D-5937-2011 Given Name: Lars Family Name: Waser Affiliation: Swiss Federal Institute for Forest, Snow and Landscape Research WSL
  • Email: christian.ginzlerfoo(at)wsl.ch ORCID: E-9544-2012 Given Name: Christian Family Name: Ginzler Affiliation: Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Contact Person Given Name: Lars Family Name: Waser Email: lars.waserfoo(at)wsl.ch Affiliation: Swiss Federal Institute for Forest, Snow and Landscape Research WSL ORCID: D-5937-2011
Subtitles
Publication Publisher: National Forest Inventory (NFI) Year: 2021
Dates
  • Type: Created Date: 2018-03-06
Version 2018 (current)
Type dataset
General Type Dataset
Language English
Location Switzerland
Content License Other (Specified in the description)
Last Updated September 10, 2021, 07:43 (UTC)
Created April 3, 2018, 10:38 (UTC)