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Country-wide data products for the ecosystem structure metrics derived from ALS data across the Netherlands (AHN3)

Authors: W. Daniel Kissling; Yifang Shi; Zsófia Koma; Christiaan Meijer; Ou Ku; Francesco Nattino; Arie C. Seijmonsbergen; +1 Authors

Country-wide data products for the ecosystem structure metrics derived from ALS data across the Netherlands (AHN3)

Abstract

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-meter resolution, 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 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). 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). A .zip file is also provided containing all the data for the validation of the AHN3 data products (AHN3_validation.zip). 

Country
Netherlands
Related Organizations
Keywords

Laserchicken, Vegetation height, LiDAR, LiDAR metrics, the Netherlands, High Performance Computing, Vegetation cover, Laserfarm, Biodiversity, Jupyter Notebook, Vegetation structure, Vegetation structural complexity, EBV, Ecosystem structure, ALS, Country-wide data products, Python

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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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