Mazia 1700m - Canopy Height Model 24032026
FAIR Overall Score
Abstract
The canopy height model (CHM) of the site F2, part of the long-term monitoring sites of the LTER project. The data is based on a LiDAR drone flight (sensor: Riegl MiniVUX-1UAV). The creation of the CHM is done in R with the package lidR by first normalizing the height of the point cloud and then rasterizing it.
Keywords
Supplemental information
This dataset is related to https://stac.eurac.edu/browser/#/collections/lidar_forestmapping_mazia_environtwin.
Legal constraints
Creative Common 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)
Download online resources
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FAIR Overall Score: %
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | % | — | incomplete |
| Accessible | % | — | incomplete |
| Interoperable | % | — | incomplete |
| Reusable | % | — | incomplete |
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
Related docs
| # | 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 |