Articles | Volume 14, issue 7
Earth Syst. Sci. Data, 14, 2989–3012, 2022
https://doi.org/10.5194/essd-14-2989-2022
Earth Syst. Sci. Data, 14, 2989–3012, 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 et al.

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Interactive discussion

Status: closed

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

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Natascha Töpfer on behalf of the Authors (02 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (11 May 2022) by Sibylle K. Hassler
RR by Louise Terryn (13 May 2022)
RR by Anonymous Referee #2 (18 May 2022)
ED: Publish subject to minor revisions (review by editor) (02 Jun 2022) by Sibylle K. Hassler
AR by Hannah Weiser on behalf of the Authors (10 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (13 Jun 2022) by Sibylle K. Hassler
AR by Hannah Weiser on behalf of the Authors (14 Jun 2022)  Author's response    Manuscript
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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.