Preprints
https://doi.org/10.5194/essd-2022-39
https://doi.org/10.5194/essd-2022-39
 
04 Feb 2022
04 Feb 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

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

Hannah Weiser1, Jannika Schäfer2, Lukas Winiwarter1, Nina Krašovec1, Fabian Ewald Fassnacht2, and Bernhard Höfle1,3 Hannah Weiser et al.
  • 13DGeo Research Group, Institute of Geography, Heidelberg University, Germany
  • 2Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
  • 3Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany

Abstract. Laser scanning from different acquisition platforms enables collecting 3D point clouds from different perspectives and with varying resolutions. Such point clouds allow us to e.g., retrieve information about the forest structure and individual tree properties, or to model individual trees in 3D. We conducted airborne laser scanning (ALS), UAV-borne laser scanning (ULS) and terrestrial laser scanning (TLS) in German mixed forests with species typical for Central Europe. We provide the spatially overlapping, georeferenced point clouds of the different acquisitions. As a result of individual tree extraction, we furthermore present a comprehensive database of tree point clouds and corresponding tree metrics, both measured in the field and derived from the point clouds. Our dataset may be used for the creation of 3D tree models for radiative transfer modeling or LiDAR simulation studies or to fit allometric equations between point cloud metrics and forest inventory variables. It can further serve as a benchmark dataset for different algorithms and machine learning tasks, in particular automated individual tree segmentation, tree species classification or forest inventory metric prediction. The dataset and supplementary metadata are available for download on the PANGAEA data publisher at https://doi.org/10.1594/PANGAEA.933426 (Weiser et al., 2021b).

Hannah Weiser et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-39', Anonymous Referee #1, 15 Feb 2022
    • AC1: 'Reply on RC1', Hannah Weiser, 24 Feb 2022
  • RC2: 'Comment on essd-2022-39', Anonymous Referee #2, 02 Mar 2022
    • AC2: 'Reply on RC2', Hannah Weiser, 15 Mar 2022

Hannah Weiser et al.

Data sets

Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements Weiser, Hannah; Schäfer, Jannika; Winiwarter, Lukas; Krašovec, Nina; Seitz, Christian; Schimka, Marian; Anders, Katharina; Baete, Daria; Braz, Andressa Soarez; Brand, Johannes; Debroize, Denis; Kuss, Paula; Martin, Lioba Lucia; Mayer, Angelo; Schrempp, Torben; Schwarz, Lisa-Maricia; Ulrich, Veit; Fassnacht, Fabian E.; Höfle, Bernhard https://doi.org/10.1594/PANGAEA.933426

Model code and software

SYSSIFOSS Weiser, Hannah; Höfle, Bernhard https://github.com/3dgeo-heidelberg/syssifoss

Hannah Weiser et al.

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Short summary
3D point clouds, acquired by laser scanning, allows us to retrieve information about the 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.