Speulderbos Terrestrial (TLS) and Unmanned Aerial Vehicle Laser Scanning (UAV-LS) 2017

doi: 10.4121/13061306.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13061306
Datacite citation style:
Benjamin Brede; Lau Sarmiento, A.I. (Alvaro); Pasi Raumonen; Harm Bartholomeus; Martin Herold et. al. (2020): Speulderbos Terrestrial (TLS) and Unmanned Aerial Vehicle Laser Scanning (UAV-LS) 2017. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13061306.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
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N52°15.15’ E5°42.00’
lat (N): 52.42
lon (E): 5.7
view on openstreetmap
time coverage
2017-05-10 (UAV-LS), 2017-05-08 and 2017-05-10 (TLS)
cc-by-sa.png logo CC BY-SA 4.0
TLS and UAV-LS point clouds for the 2017 Speulderbos Laser Scanning campaign. The data covers ca 2 ha of forest of which are ca 1 ha mature beech and oak and 1 ha of mix between Douglas fir, Norway spruce, giant fir and young beech. Data was acquired while ca half of the deciduous trees still had no leaves.
  • 2020-10-07 first online, published, posted
laz, shape file
  • IDEAS+ contract funded by ESA-ESRIN
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