This text file (‘epsgs.txt’) provides the specifications of the coordinate reference system for the countries in which the MAMBO demonstration sites are located. It uses the standard machine-readable code from the European Petroleum Survey Group (EPSG) for coordinate systems worldwide (https://epsg.io/). The text file with the EPSG specifications is loaded in the Rasterization Jupyter Notebook of Laserfarm.
Export PNG

Views: 137 Downloads: 6
Created: 7th Feb 2025 at 09:27
Last updated: 7th Feb 2025 at 09:36

This item has not yet been tagged.

None
Version History
Version 1 (earliest) Created 7th Feb 2025 at 09:27 by W. Daniel Kissling
No revision comments
Related items
Teams: Laserfarm applications to European demonstration sites
Organizations: University of Amsterdam

Ecologist with an interest in the geospatial analysis and modelling of biodiversity and ecosystems (https://www.danielkissling.de/). Working as an Associate Professor of Quantitative Biodiversity at the Institute for Biodiversity and Ecosystem Dynamics (IBED) of the University of Amsterdam (UvA), The Netherlands.
Teams: Laserfarm applications to European demonstration sites
Web page: Not specified
Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across European demonstration sites
Space: EcoLiDAR - ecological applications of LiDAR point clouds
Public web page: https://laserfarm.readthedocs.io/en/latest/
Organisms: Not specified
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 7.95 km2 large Salisbury Plain in the United Kingdom (1.866189 W, 51.220814 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 54 km2 large Oostvaardersplassen in the Netherlands (5.418842 E, 52.456870 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 0.08 km2 large Monks Wood in the United Kingdom (10.478393 E, 56.289050 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 1.29 km2 large Mols Bjerge National Park in Denmark (10.478393 E, 56.289050 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 5.55 km2 large Knepp Estate in the United Kingdom (0.3758 W, 50.969859 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 3.5 km2 large island of Comino in Malta (36.0113 E, 14.3362 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring of Biоdiversity, ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 7.5 km2 large Reserve Naturelle Nationale du Bagnas ('Bagnas') in France (3.514360 E, 43.314332 N). The work has been performed in the context of the EU project MAMBO (Modern ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling