Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-2989-2022
https://doi.org/10.5194/essd-14-2989-2022
Data description paper
 | 
05 Jul 2022
Data description paper |  | 05 Jul 2022

Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests

Hannah Weiser, Jannika Schäfer, Lukas Winiwarter, Nina Krašovec, Fabian E. Fassnacht, and Bernhard Höfle

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Wind during terrestrial laser scanning of trees: Simulation-based assessment of effects on point cloud features and leaf-wood classification
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Arumäe, T. and Lang, M.: Estimation of Canopy Cover in Dense Mixed-Species Forests Using Airborne Lidar Data, Eur. J. Remote Sens., 51, 132–141, https://doi.org/10.1080/22797254.2017.1411169, 2018. a
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Short summary
3D point clouds, acquired by laser scanning, allow us to retrieve information about forest structure and individual tree properties. We conducted airborne, UAV-borne and terrestrial laser scanning in German mixed forests, resulting in overlapping point clouds with different characteristics. From these, we generated a comprehensive database of individual tree point clouds and corresponding tree metrics. Our dataset may serve as a benchmark dataset for algorithms in forestry research.
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