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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 (2022): Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements. PANGAEA,

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Laser scanning point clouds of forest stands were acquired in southwest Germany in 2019 and 2020 from different platforms: an aircraft, an uncrewed aerial vehicle (UAV) and a ground-based tripod. The UAV-borne and airborne laser scanning campaigns cover twelve forest plots of approximately 1 ha. The plots are located in mixed central European forests close to Bretten and Karlsruhe, in the federal state of Baden-Württemberg, Germany. Terrestrial laser scanning was performed in selected locations within the twelve forest plots. Airborne and terrestrial laser scanning point clouds were acquired under leaf-on conditions, UAV-borne laser scans were acquired both under leaf-on and later under leaf-off conditions. In addition to the laser scanning campaigns, forest inventory tree properties (species, height, diameter at breast height, crown base height, crown diameter) were measured in-situ during summer 2019 in six of the twelve 1-ha plots. Single tree point clouds were extracted from the different laser scanning datasets and matched to the field measurements. For each tree entry, point clouds, tree species, position, and field-measured and point cloud-derived tree metrics are provided. For 249 trees, point clouds from all three platforms are available. The tree models form the basis of a single tree database covering a range of species typical for central European forests which is currently being established in the framework of the SYSSIFOSS project.
3D point clouds; Central Europe; ecology; Forest; forest inventory; Germany; Lidar; tree; vegetation
German Research Foundation (DFG), grant/award no. 411263134: Synthetic structural remote sensing data for improved forest inventory models
Median Latitude: 49.015441 * Median Longitude: 8.628137 * South-bound Latitude: 48.995898 * West-bound Longitude: 8.416157 * North-bound Latitude: 49.041270 * East-bound Longitude: 8.716962
BR01 * Latitude: 49.013876 * Longitude: 8.682414 * Location: Germany, Baden-Wuerttemberg * Method/Device: Multiple investigations (MULT)
BR02 * Latitude: 49.012695 * Longitude: 8.701507 * Location: Germany, Baden-Wuerttemberg * Method/Device: Multiple investigations (MULT)
BR03 * Latitude: 49.014794 * Longitude: 8.700568 * Location: Germany, Baden-Wuerttemberg * Method/Device: Multiple investigations (MULT)
Version 2, 2022-03-31: Previous version doi:10.1594/PANGAEA.933426 contains errors due to data processing.
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventWeiser, Hannah
2Binary Object (File Size)Binary (Size)BytesWeiser, Hannah
3Binary ObjectBinaryWeiser, Hannah
Curation Level: Basic curation (CurationLevelB)
12 data points

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