Vegetation height model Sentinel NFI

Countrywide vegetation height models (VHM) were generated for Switzerland based on Copernicus Sentinel-2 imagery and the digital terrain model (DTM) swissALTI3D from the Swiss Federal Office of Topography swisstopo. A Convolutional Neural Network (CNN) model was trained to estimate the maximum vegetation height at the spatial resolution of the Sentinel-2 pixel of 10 m. Vegetation heights from the spatially higher-resolved VHM Lidar NFI were used as reference data for the CNN training. Within the framework of the Swiss National Forest Inventory (NFI), the VHMs were modelled annually based on available Sentinel-2 imagery from May – September of the respective year. Further details on the creation of the VHM Sentinel NFI can be found in the paper Jiang et al. (2023, https://doi.org/10.1016/j.srs.2023.100099). Contains modified Copernicus Sentinel data.

Data and Resources

Additional Info

Field Value
Identifier f7e82373-151d-41ef-90be-e6d9167a0930@bundesamt-fur-umwelt-bafu
Title for URL of the dataset vegetationshohenmodell-sentinel-lfi1
Schedule the publication of the dataset -
Issued date October 31, 2016
Modification date March 5, 2026
Conforms to -
Update interval Annual
Temporal coverage -
Publisher Information Forest Division, Federal Office of the Environment
Contact points remotesensing@wsl.ch
Languages
  • English
  • German
  • French
  • Italian
URL https://www.envidat.ch/dataset/vegetation-height-model-nfi
Relation
Spatial Schweiz
Related datasets -
Documentation -
Keywords
Terms of use https://opendata.swiss/terms-of-use#terms_by
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