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.
SEEK ID: https://workflowhub.eu/people/936
Location:
Netherlands
ORCID:
https://orcid.org/0000-0002-7274-6755
Joined: 27th Jan 2025
Expertise: Not specified
Tools: Not specified
Related items
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
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.
Creators: W. Daniel Kissling, Wessel Mulder
Submitter: W. Daniel Kissling
This text file (‘grids.txt’) provides the specifications of the re-tiling grid that is used in the Laserfarm Jupyter Notebooks for the MAMBO demonstration sites. It includes information on (1) the minimum and maximum of the X and Y coordinates (min_x, max_x, min_y, max_y) of the bounding box around the region of interest, and (2) the number of tiles (n_tiles_side) for re-tiling. It is an input file in the Re-tiling Jupyter Notebook.
Creators: W. Daniel Kissling, Wessel Mulder
Submitter: W. Daniel Kissling
This public data repository (https://public.spider.surfsara.nl/project/lidarac/MAMBO/) provides the LiDAR point cloud datasets which were clipped using the boundary polygons (shapefiles) of the MAMBO demonstration sites. The raw LiDAR point cloud tiles were first downloaded from the national repository in the respective country based on the approximate location of each demonstration site. The data repository uses the storage services from the Dutch IT infrastructure SURF (https://www.surf.nl/en). ...
Creators: W. Daniel Kissling, Jinhu Wang
Submitter: W. Daniel Kissling
Abstract
Authors: W. Daniel Kissling, Yifang Shi, Jinhu Wang, Agata Walicka, Charles George, Jesper E. Moeslund, France Gerard
Date Published: 1st Dec 2024
Publication Type: Journal
DOI: 10.1016/j.ecolind.2024.112970
Citation: Ecological Indicators 169:112970
Abstract (Expand)
Authors: Toke Høye, Tom August, Mario V Balzan, Koos Biesmeijer, Pierre Bonnet, Tom Breeze, Christophe Dominik, France Gerard, Alexis Joly, Vincent Kalkman, W. Daniel Kissling, Teodor Metodiev, Jesper Moeslund, Simon Potts, David Roy, Oliver Schweiger, Deepa Senapathi, Josef Settele, Pavel Stoev, Dan Stowell
Date Published: 7th Dec 2023
Publication Type: Journal
Citation: RIO 9,e116951
Abstract
Authors: W. Daniel Kissling, Yifang Shi, Zsófia Koma, Christiaan Meijer, Ou Ku, Francesco Nattino, Arie C. Seijmonsbergen, Meiert W. Grootes
Date Published: 1st Feb 2023
Publication Type: Journal
DOI: 10.1016/j.dib.2022.108798
Citation: Data in Brief 46:108798
Abstract
Authors: W. Daniel Kissling, Yifang Shi, Zsófia Koma, Christiaan Meijer, Ou Ku, Francesco Nattino, Arie C. Seijmonsbergen, Meiert W. Grootes
Date Published: 1st Dec 2022
Publication Type: Journal
DOI: 10.1016/j.ecoinf.2022.101836
Citation: Ecological Informatics 72:101836
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