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ZENODO
Dataset . 2023
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Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Country-wide data of ecosystem structure from the fourth Dutch airborne laser scanning survey (AHN4)

Authors: Yifang Shi; W. Daniel Kissling;

Country-wide data of ecosystem structure from the fourth Dutch airborne laser scanning survey (AHN4)

Abstract

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-meter resolution, 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 that enables efficient, scalable, and distributed processing of multi-terabyte LiDAR point clouds from national and regional ALS surveys 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. Laserfarm workflow 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)

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Netherlands
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Keywords

Vegetation height, LiDAR, LiDAR metrics, AHN4, airborne laser scanning, Vegetation cover, High-throughput workflow, Biodiversity, Laserfarm, Jupyter Notebook, Vegetation structure, Vegetation structural complexity, EBV, Ecosystem structure, ALS, Country-wide data products, High-performance computing, Netherlands

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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