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Published March 20, 2021 | Version 1
Journal article Open

Very high-resolution digital elevation models of la Para and les Martinets areas in the Swiss Alps

  • 1. École Polytechnique Fédérale de Lausanne
  • 2. École Polytechnique Fédérale de Lausanne; Royal Botanic Gardens, Kew
  • 3. WSL Swiss Federal Research Institute
  • 4. Haute-Ecole d'Ingénierie et de Gestion du Canton de Vaud
  • 5. University of Berne

Contributors

Contact person:

  • 1. École Polytechnique Fédérale de Lausanne

Description

Data to support the article "Multiscale very-high resolution topographic models in Alpine ecology: pros and cons of airborne LiDAR and drone-based stereo-photogrammetry technologies". This study is based in two valleys of the western Swiss Alps in the state of Vaud. The two study sites, Para and Martinets, are situated above the tree-line between 1800-2400m asl, with target site areas of 0.5km2.

Here, we provide the base digital elevation models (DEMs) acquired via Light Detection and Ranging (LiDAR) and stereo-photogrammetry (PHOTO) methods for each site. The finest resolution for LiDAR DEMs is 0.5m and for PHOTO DEMs is 6.25cm. These were then generalised to 32m for LiDAR and 8m for PHOTO using the impyramid function in MATLAB and cropped to remove incorrect borders before being used to derive 23 variables in SAGA GIS. 

The site outline shape files (as zip) show the limitations of each study site, which were used to crop the DEMs and derived variables to the target site.

The georef_points.csv file contains point data of geo-referenced points (±3cm accuracy) used to assess the DEM accuracies.

The Aalpina_presence_points.csv file contains the point data of the Arabis alpina plant presence locations for both sites, which were used in MaxEnt analyses.

 

Files

Aalpina_presence_points.csv

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Additional details

Funding

Swiss National Science Foundation
GENESCALE: Very high-resolution digital elevation models for multi-scale analysis in landscape genomics CR32I3_149741