World Land Cover Himalayas 2018
FAIR Overall Score
Abstract
Downscaled land cover component of the World Terrestrial Ecosystem maps of the AI4EBV project.
Keywords
Supplemental information
The land cover classification is based on a Random Forest algorithm and automatically generated training data from the ESA CCI Land Cover product.
Legal constraints
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
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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 |
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
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