Environmental Data Platform
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.
The land cover classification is based on a Random Forest algorithm and automatically generated training data from the ESA CCI Land Cover product.
Global, ecosystem, landcover
Attribution 4.0 International (CC BY 4.0): You are free to share and adapt under the following conditions: attribution and no additional restriction. (https://creativecommons.org/licenses/by/4.0/deed.en)
| Eurac Research - Institute for Earth Observation |
| daniel.frisinghelli@eurac.edu |
| Eurac Research - Institute for Earth Observation |
| daniel.frisinghelli@eurac.edu |
4326 (4326:EPSG)
Grid
Environment
| 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 |
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