Country-wide data of ecosystem structure from the fourth Dutch airborne laser scanning survey (AHN4)
This data repository contains country-wide data products for the ecosystem structure metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands (AHN4). Twenty-five ecosystem structure metrics(at 10-meterresolution, GeoTIFF format) were derived from the AHN4 dataset ( https://www.ahn.nl/ahn-viewer ) using Laserfarm workflow ( https://zenodo.org/record/5636773 ). Laserfarm is a free and open-source workflow thatenables efficient, scalable, and distributed processing of multi-terabyte LiDAR point clouds from national and regional ALSsurveys into LiDAR metrics of ecosystem st... Mehr ...
Verfasser: | |
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Dokumenttyp: | other |
Erscheinungsdatum: | 2023 |
Verlag/Hrsg.: |
Zenodo
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Schlagwörter: | LiDAR / ALS / Ecosystem structure / airborne laser scanning / AHN4 / Netherlands / LiDAR metrics / Country-wide data products / Vegetation structure / Biodiversity / EBV / Laserfarm / Vegetation height / Vegetation cover / Vegetation structural complexity / High-throughput workflow / Jupyter Notebook / High-performance computing |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28805568 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.5281/zenodo.8422129 |
This data repository contains country-wide data products for the ecosystem structure metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands (AHN4). Twenty-five ecosystem structure metrics(at 10-meterresolution, GeoTIFF format) were derived from the AHN4 dataset ( https://www.ahn.nl/ahn-viewer ) using Laserfarm workflow ( https://zenodo.org/record/5636773 ). Laserfarm is a free and open-source workflow thatenables efficient, scalable, and distributed processing of multi-terabyte LiDAR point clouds from national and regional ALSsurveys into LiDAR metrics of ecosystem structure. All code of Laserfarm is hosted and freely available on GitHub ( https://github.com/eEcoLiDAR/Laserfarm ). Note that we also published the data products generated from AHN3 (2014-2019), which you can find in the repository here: https://doi.org/10.5281/zenodo.6421381 . Laserfarmworkflow was also employed to generate the data products from AHN4 (2020-2022). The twenty-five LiDAR metrics are related to three key dimensions of ecosystem structure (ecosystem height, ecosystem cover, and ecosystem structural complexity). Each GeoTIFF layer represents one LiDAR metric at 10 m resolution covering the whole Netherlands (file name as "ahn4_10m_featrue_name.tiff"). A detailed description of all the metrics can be found in the README file (README.pdf). Relevant publications: Kissling, W.D., Shi, Y., Koma, Z., Meijer, C., Ku, O., Nattino, F., Seijmonsbergen, A.C., & Grootes, M.W. (2022). Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds. Ecological Informatics, 72 , 101836 ( https://doi.org/10.1016/j.ecoinf.2022.101836 ) Kissling, W.D., Shi, Y., Koma, Z., Meijer, C., Ku, O., Nattino, F., Seijmonsbergen, A.C., & Grootes, M.W. (2023). Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey. Data in Brief, 46 , 108798 ( https://doi.org/10.1016/j.dib.2022.108798 )