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Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across seven demonstration sites from five European countries

Authors: Kissling, W. Daniel; Mulder, Wessel; Wang, Jinhu; Shi, Yifang;

Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across seven demonstration sites from five European countries

Abstract

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).

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Keywords

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

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Jupyter Notebook

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average