Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across seven demonstration sites from five European countries
Authors/Creators
Description
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). The JSON file contains machine-readable metadata.
Files
Bagnas.zip
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(123.3 MB)
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Additional details
Related works
- Continues
- Publication: 10.1016/j.ecolind.2024.112970 (DOI)
- Is derived from
- Publication: 10.1016/j.ecoinf.2022.101836 (DOI)
- Is described by
- Publication: 10.1016/j.dib.2025.111548 (DOI)
- Is supplement to
- Publication: 10.1016/j.dib.2022.108798 (DOI)
Software
- Repository URL
- https://doi.org/10.5281/zenodo.3842780
- Programming language
- Python
- Development Status
- Inactive
Biodiversity
- Country
- United Kingdom , Netherlands , Malta , Denmark , France
References
- W.D. Kissling, Y. Shi, Z. Koma, C. Meijer, O. Ku, F. Nattino, A.C. Seijmonsbergen, M.W. Grootes, Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds, Ecological Informatics 72 (2022) 101836. https://doi.org/https://doi.org/10.1016/j.ecoinf.2022.101836
- W.D. Kissling, Y. Shi, Z. Koma, C. Meijer, O. Ku, F. Nattino, A.C. Seijmonsbergen, M.W. Grootes, Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey, Data in Brief 46 (2023) 108798. https://doi.org/https://doi.org/10.1016/j.dib.2022.108798
- W.D. Kissling, T.D. Breeze, C. Liquete, A. Lyche Solheim, I. McCallum, J. Maes, T. Hirsch, M. Lumbierres, R.H.A. van Grunsven, P. Beja, B. Smets, C. Capinha, A. Ceia-Hasse, N. Fernández, F. Moreira, J. Junker, F. Leese, E. Hammond, L. Brotons, A. Morán Ordóñez, S.G. Potts, J. Santana, J. Valdez, I. Kühn, M. Milanović, A. Schmidt-Kloiber, D. Bormpoudakis, D. Villero, P. Haase, K. Meissner, H. Bruelheide, M. Buchhorn, I. Calderon-Sanou, M. Fernandez, A. Gamero, A. Gobin, I. Guerrero, U. Jandt, A. Klvaňová, M.M. Viti, S.J. Moe, A. Bonn, H.M. Pereira, Towards a modern and efficient European biodiversity observation network fit for multiple policies, Preprint EcoEvoRxiv (2024). https://doi.org/https://doi.org/10.32942/X2K34F
- T.T. Høye, T. August, M.V. Balzan, K. Biesmeijer, P. Bonnet, T.D. Breeze, C. Dominik, F. Gerard, A. Joly, V. Kalkman, W.D. Kissling, T. Metodiev, J. Moeslund, S. Potts, D.B. Roy, O. Schweiger, D. Senapathi, J. Settele, P. Stoev, D. Stowell, Modern Approaches to the Monitoring of Biоdiversity (MAMBO), Research Ideas and Outcomes 9 (2023) e116951. https://doi.org/https://doi.org/10.3897/rio.9.e116951
- Kissling, W.D., Mulder, W., Wang, J., Shi, Y., 2025. Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sites. Data in Brief, 111548. https://doi.org/10.1016/j.dib.2025.111548