National-scale unclassified landslide susceptibility map for Burundi.
The map is based on a statistical learning algorithm (Generalized Additive Model) that was trained on the basis of different topographic predictors (slope, topographic position, convergence index, aspect, topographic wetness index, geomorphons), landcover and available landslide inventory data. The model was tested using model-independent landslide data and achieved a high statistical performance (median AUROC 0.89).
Burundi, burundi, landslides, natural hazards
Not Specified: The original author did not specify a license.
Eurac Research - Center for Climate Change and Transformation |
piero.campalani@eurac.edu |
Bolzano, ITA |
Eurac Research - Center for Climate Change and Transformation |
stefan.steger@eurac.edu |
4326 (4326:EPSG)
Grid
Geoscientific information
Name | Description | Link | Date published | Category |
---|---|---|---|---|
Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |