
This repository contains examples of applying the Laserfarm workflow (https://doi.org/10.1016/j.ecoinf.2022.101836) to calculate a consistent set of vegetation metrics from different country-wide airborne laser scanning (ALS) data across seven demonstration sites from five European countries (Denmark, France, Netherlands, United Kingdom, Malta). The workflow application and metric calculation has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring of Biоdiversity, https://doi.org/10.3897/rio.9.e116951), in which the automated execution of workflows for habitat condition metrics from LiDAR is tested for EU habitat monitoring. For each demonstration site, the Jupyter Notebooks for the Laserfarm workflow, the derived data products (GeoTIFF files) and their visualization (maps in PDF format), and the study site boundaries (shapefiles) are provided. The dataset is described in detail in an accompanying data paper (https://doi.org/10.1016/j.dib.2025.111548). All Jupyter Notebooks are also published in WorkflowHub (https://workflowhub.eu/projects/302#workflows). The clipped LiDAR point clouds for each MAMBO demonstration site are available from a publicly accessible repository (https://doi.org/10.48546/workflowhub.datafile.5.1).
ecosystem, geospatial data, Laserchicken, vegetation mapping, structural complexity, airborne laser scanning, light detection and ranging, Laserfarm, raster, Essential Biodiversity Variable, habitat condition, Jupyter, conservation management, metrics, remote sensing, notebook, vertical profile, GeoTIFF, biodiversity monitoring, point clouds, vegetation structure, ecology, vegetation height, lidar
Jupyter Notebook
ecosystem, geospatial data, Laserchicken, vegetation mapping, structural complexity, airborne laser scanning, light detection and ranging, Laserfarm, raster, Essential Biodiversity Variable, habitat condition, Jupyter, conservation management, metrics, remote sensing, notebook, vertical profile, GeoTIFF, biodiversity monitoring, point clouds, vegetation structure, ecology, vegetation height, lidar
Jupyter Notebook
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