Historical Vegetation Height Model NFI

DOI

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 Height Models are calculated by subtraction of a Digital Terrain Model (swissAlti3d version 2017, swisstopo) from the generated DSMs. DSMs were derived by image matching of scanned historical images (panchromatic 8-bit) acquired with a RC10 frame camera, in the context of the swisswide image acquisition campaigns of swisstopo. Nationwide products could be generated for the four epochs 1979-1985 / 1985-1991 / 1990-1998 / 1998-2006.

Additional information about successful image matching vs. interpolation of pixels and about the year of image acquisition are available in the corresponding files (matched_area_xxxx_xxxx_binay.tif and meta_acquisition_year_xxxx_xxxx.json, respectively).

To separate vegetation from non-vegetation areas a mask derived from a combination of information of the Topographic landscape model - TLM (swisstopo) and a NDVI layer was used and is supplied as "TLM_mask.tif"

Due to the occurrence of unrealistic vegetation height values caused by the failure of the image matching process (mainly overexposed images and clouds or very steep rocky terrain), pixel values > 60 m were set to NoData and < 0 m to 0.

All datasets are available in the Reference System LV95 (EPSG: 2056) LN02 (EPSG: 5728) and share the common extent definition (xmin ymin xmax ymax): 2480000 1070000 2840000 1300000

Identifier
DOI https://doi.org/10.16904/envidat.528
Metadata Access https://www.envidat.ch/api/action/package_show?id=d16d27e5-b239-4909-b914-1b0b5337dab3
Provenance
Creator Mauro, Marty, 0000-0002-0943-2454; Christian, Ginzler, 0000-0001-6365-2151; Lars, Waser, D-5937-2011; Livia, Piermattei, 0000-0003-2814-8659
Publisher EnviDat
Publication Year 2024
Funding Reference WSL - NFI,
Rights CC0-1.0; Creative Commons Zero - No Rights Reserved (CC0 1.0)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Resource Type Dataset
Discipline Environmental Sciences
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N)
Temporal Coverage Begin 2007-02-01T00:00:00Z
Temporal Coverage End 2023-02-01T00:00:00Z