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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... -
Vegetation Height Model LiDAR NFI
Countrywide vegetation height models (VHM) were generated for Switzerland based on LiDAR data acquired in the framework of the swissSURFACE3D campaign (swisstopo). To derive... -
Historical Vegetation Height Model NFI
The main datasets available are 4 nationwide Digital Surface Models (DSMs) and corresponding Vegetation Height Models (VHMs) with a spatial resolution of 1 m. The Vegetation... -
Naturalness of tree species composition in protective forests
Data and scripts used by Scherrer et al. 2023 in the publication 'Maintaining the protective function of mountain forests under climate change by the concept of naturalness in... -
Datasets for deriving functions for the stem- and branchwood volume in the Sw...
In the Swiss National Forest Inventory (NFI) the volume of the stem and of large (≥ 7cm in diameter) and small branches is estimated based on allometric functions. These... -
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... -
MASSIMO
MASSIMO is a distance-independent individual-tree simulator that represents demographic processes (regeneration, growth and mortality) with empirical models that have been... -
Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-...
Swiss National Forest Inventory. Results of the fourth survey 2009–2017. The collection of data for the fourth National Forest Inventory (NFI) was carried out from 2009 to 2017,... -
Schweizerisches Landesforstinventar. Ergebnisse der vierten Erhebung 2009–2017
Swiss National Forest Inventory. Results of the fourth survey 2009–2017. The collection of data for the fourth National Forest Inventory (NFI) was carried out from 2009 to 2017,...