The Swiss Federal Institute for Forest, Snow and Landscape Research is concerned with the use, development and protection of natural and urban spaces. The focus of our research is on solving problems to do with the responsible use of landscapes and forests and a prudent approach to natural hazards, especially those common in mountainous countries. WSL occupies a leading position internationally in these research areas. We also provide groundwork for sustainable environmental policies in Switzerland.

More information: https://www.wsl.ch/

4 datasets found

  • Cropland and grassland map of Switzerland based on Sentinel-2 data

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    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...

    Last updated: March 29, 2021

    • SERVICE
    • TIFF
    • GeoTIFF
    • agriculture
    • phenology
    • switzerland
    • vegetation-indices
    • sentinel-2
    • machine-learning
    • cropland
    • habitat
    • remote-sensing
    • grassland
  • Wind-Topo_model

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    Wind-Topo is a statistical downscaling model for near surface wind fields especially suited for highly complex terrain.

    It is based on deep learning and was trained (calibrated)...

    Last updated: March 16, 2022

    • SERVICE
    • topography
    • downscaling
    • meteorology
    • complex-terrain
    • surface-winds
    • machine-learning
    • convolutional-neural-networks
    • high-resolution
  • Automatic Classification of Avalanches

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

    Last updated: November 3, 2019

    • SERVICE
    • localization
    • seismic
    • monitoring
    • machine-learning
    • avalanche
  • Weather, snowpack and danger ratings data for automated avalanche danger level predictions

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    Each set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the...

    Last updated: April 13, 2023

    • SERVICE
    • CSV
    • avalanche
    • avalanche-danger-level
    • numerical-avalanche-forecasting
    • avalanche-forcasting
    • machine-learning