Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-823-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-823-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
EcoDes-DK15: high-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set
Ecoinformatics and Biodiversity, Department of Biology, Aarhus
University, Aarhus, 8000, Denmark
Jesper E. Moeslund
Biodiversity, Department of Ecoscience, Aarhus University, Rønde,
8410, Denmark
Urs A. Treier
Ecoinformatics and Biodiversity, Department of Biology, Aarhus
University, Aarhus, 8000, Denmark
Center for Sustainable Landscapes Under Global
Change, Department of BiologyAarhus University, Aarhus, 8000, Denmark
Signe Normand
Ecoinformatics and Biodiversity, Department of Biology, Aarhus
University, Aarhus, 8000, Denmark
Center for Sustainable Landscapes Under Global
Change, Department of BiologyAarhus University, Aarhus, 8000, Denmark
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Cited
13 citations as recorded by crossref.
- Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds W. Kissling et al. 10.1016/j.ecoinf.2022.101836
- Perspectives on environment and health research in Denmark H. Horsdal et al. 10.1177/14034948231178076
- Soil assessment in Denmark: Towards soil functional mapping and beyond L. Gomes et al. 10.3389/fsoil.2023.1090145
- Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion J. Assmann et al. 10.1111/csp2.13302
- Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward V. Moudrý et al. 10.1111/ddi.13644
- Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles W. Daniel Kissling et al. 10.1016/j.ecolind.2024.112970
- Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sites W. Kissling et al. 10.1016/j.dib.2025.111548
- Using the full potential of Airborne Laser Scanning (aerial LiDAR) in wildlife research C. Cosgrove et al. 10.1002/wsb.1532
- What moves large grazers? Habitat preferences and complementing niches of large herbivores in a Danish trophic rewilding area B. Rech et al. 10.1007/s00267-025-02164-8
- Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest B. Yadav et al. 10.3390/rs17101733
- Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed V. Moudrý et al. 10.1002/ecs2.70026
- Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging Y. Shi & W. Kissling 10.1080/15481603.2023.2260637
- EcoDes-DK15: high-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set J. Assmann et al. 10.5194/essd-14-823-2022
12 citations as recorded by crossref.
- Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds W. Kissling et al. 10.1016/j.ecoinf.2022.101836
- Perspectives on environment and health research in Denmark H. Horsdal et al. 10.1177/14034948231178076
- Soil assessment in Denmark: Towards soil functional mapping and beyond L. Gomes et al. 10.3389/fsoil.2023.1090145
- Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion J. Assmann et al. 10.1111/csp2.13302
- Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward V. Moudrý et al. 10.1111/ddi.13644
- Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles W. Daniel Kissling et al. 10.1016/j.ecolind.2024.112970
- Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sites W. Kissling et al. 10.1016/j.dib.2025.111548
- Using the full potential of Airborne Laser Scanning (aerial LiDAR) in wildlife research C. Cosgrove et al. 10.1002/wsb.1532
- What moves large grazers? Habitat preferences and complementing niches of large herbivores in a Danish trophic rewilding area B. Rech et al. 10.1007/s00267-025-02164-8
- Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest B. Yadav et al. 10.3390/rs17101733
- Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed V. Moudrý et al. 10.1002/ecs2.70026
- Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging Y. Shi & W. Kissling 10.1080/15481603.2023.2260637
Latest update: 05 Jun 2025
Short summary
In 2014 and 2015, the Danish government scanned the whole of Denmark using laser scanners on planes. The information can help biologists learn more about Denmark's natural environment. To make it easier to access the outputs from the scan, we divided the country into 10 m x 10 m squares and summed up the information most relevant to biologists for each square. The result is a set of 70 maps describing the three-dimensional architecture of the Danish landscape and vegetation.
In 2014 and 2015, the Danish government scanned the whole of Denmark using laser scanners on...
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