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

DOI:10.4121/13061306.v1
The DOI displayed 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

Dataset

Wageningen University and Research logo

Usage statistics

6393
views
6422
downloads

Geolocation

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)

Licence

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.

History

  • 2020-10-07 first online, published, posted

Publisher

4TU.ResearchData

Format

laz, shape file

Funding

  • IDEAS+ contract funded by ESA-ESRIN

Organizations

Wageningen University & Research

DATA

Files (21)