Country-wide data products for the ecosystem structure metrics derived from ALS data across the Netherlands (AHN3)
This data repository contains country-wide data products for the ecosystem structure metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands (AHN3). Twenty-five ecosystem structure metrics(at 10-meterresolution, GeoTIFF format) were derived from AHN3 dataset ( https://downloads.pdok.nl/ahn3-downloadpage/ ) 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 e... Mehr ...
Verfasser: | |
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Dokumenttyp: | other |
Erscheinungsdatum: | 2023 |
Verlag/Hrsg.: |
Zenodo
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Schlagwörter: | LiDAR / ALS / EBV / Ecosystem structure / Laserfarm / Laserchicken / Vegetation structure / Country-wide data products / LiDAR metrics / Biodiversity / Vegetation height / Vegetation cover / Vegetation structural complexity / the Netherlands / High Performance Computing / Jupyter Notebook / Python |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29217298 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.5281/zenodo.10060951 |
This data repository contains country-wide data products for the ecosystem structure metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands (AHN3). Twenty-five ecosystem structure metrics(at 10-meterresolution, GeoTIFF format) were derived from AHN3 dataset ( https://downloads.pdok.nl/ahn3-downloadpage/ ) 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 ). The Jupyter Notebooks for the processing of the AHN3 dataset are available on GitHub ( https://github.com/eEcoLiDAR/AHN/tree/main/AHN3 ). The twenty-five LiDAR metrics are related to three key dimensions of ecosystem structure (ecosystem height, ecosystem cover, and ecosystem structural complexity), and a layer of point density and a layer of building/road/water mask are also provided. Each GeoTIFF layer represents one LiDAR metric at 10 m resolution covering the whole Netherlands (file name as "ahn3_10m_feature_name.tiff"). An overview of all the listed metrics (maps) is also provided in the PDF version (AHN3.pdf). A detailed description of the dataset is available from the following data publication: Kissling, W. D., Y. Shi, Z. Koma, C. Meijer, O. Ku, F. Nattino, A. C. Seijmonsbergen, and M. W. Grootes. 2022. Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey. Data in Brief: 108798. https://doi.org/10.1016/j.dib.2022.108798 A detailed description of all the metrics can be found in the README file (README.docx).