Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across seven demonstration sites from five
European countries
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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- Alternate Identifier
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6d774b58-9edf-4f52-b55c-36b945d82bf8
- Publication Date
- 2025-01-27
- Title
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Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across seven demonstration sites from five European countries
- Short Name
- Abstract
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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).
- Dataset Language
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en
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Metadata Provider
- Dataset Contact
- Keywords (None)
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lidar
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vegetation structure
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metrics
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ecosystem
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ecology
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airborne laser scanning
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biodiversity monitoring
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habitat condition
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conservation management
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remote sensing
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geospatial data
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Laserfarm
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Laserchicken
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Jupyter
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notebook
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GeoTIFF
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raster
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vegetation mapping
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Essential Biodiversity Variable
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light detection and ranging
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point clouds
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structural complexity
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vegetation height
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vertical profile
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Geographic Coverage
- Geographic Description
Bounding Box
- West Bounding Coordinate
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Temporal Coverage
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resourceLicensesLicense Information
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CC-BY4.0
Resource License
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Creative Commons Attribution 4.0 International
- Acknowledgements
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DOI
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Zenodo
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Data paper
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Workflow repository
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0. README file
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1. Methodology_description.pdf
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2.1 MolsBjerge.zip
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2.2 Bagnas.zip
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2.3 Oostvaardersplassen.zip
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2.4 SalisburyPlain.zip
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2.5 Knepp.zip
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2.6 MonksWood.zip
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2.7 Comino.zip
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3. Shapefiles_StudySites.zip
Project
• Project
- Title
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MAMBO - Modern Approaches to the Monitoring of BiOdiversity
- Abstract
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Funded by European Commission (MAMBO project: 101060639).
Personnel
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