World Land Cover Province 2015


FAIR Overall Score

77%

Abstract

Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.

Keywords

Europe, ecosystem, landcover

Supplemental information

The land cover classification is based on a Random Forest algorithm and automatically generated training data from the CORINE land cover product.

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)

Contact for resource

Eurac Research - Institute for Earth Observation
daniel.frisinghelli@eurac.edu

Contact for metadata

Eurac Research - Institute for Earth Observation
daniel.frisinghelli@eurac.edu

Download online resources


FAIR Overall Score: 77%

Principle Score Earned Level
Findable 57% 4 of 7 moderate
Accessible 100% 7 of 7 advanced
Interoperable 67% 4 of 6 moderate
Reusable 83% 5 of 6 moderate

Assessed 2026-07-22 (metrics 0.8)

Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400


# Name Description Link Date published Category
1 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
2 maps.eurac.edu documentation maps.eurac.edu is based on Geonode, here the link to the official documentation Link April 28, 2021 Maps