Mazia 2080m - Canopy Height Model 22102025

FAIR Overall Score

Abstract

The canopy height model (CHM) of the site F5, 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

South Tyrol, Canopy Height Model, Forest

Supplemental information

This dataset is related to https://stac.eurac.edu/browser/#/collections/lidar_forestmapping_mazia_environtwin.

Legal constraints

Not Specified: The original author did not specify a license.

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

#	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