| Autor: |
Guillaume, Annie S., Leempoel, Kevin, Rochat, Estelle, Rogivue, Aude, Kasser, Michel, Gugerli, Felix, Parisod, Christian, Joost, Stéphane |
| Přispěvatelé: |
Guillaume, Annie S., Joost, Stéphane |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.4575251 |
| Popis: |
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 thebase digital elevation models (DEMs) acquired via Light Detection and Ranging (LiDAR) and stereo-photogrammetry (PHOTO) methods for each site. The finest resolution forLiDAR 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. Thesite outlineshape 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. TheAalpina_presence_points.csvfile contains the point data of the Arabis alpinaplant presence locations for bothsites, which were used in MaxEnt analyses. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
