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

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

Dataset

• Ecological Applications
• Flora, Fauna and Biodiversity
• Physical Geography and Environmental Geoscience

Above-ground plant biomass, forest inventory data, LiDAR, Terrestrial Laser Scanner, UAV remote sensing

view on openstreetmap

2017-05-10 (UAV-LS), 2017-05-08 and 2017-05-10 (TLS)

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Benjamin Brede , A.I. (Alvaro) Lau Sarmiento , Pasi Raumonen , Harm Bartholomeus , Martin Herold , Lammert Kooistra

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

4TU.ResearchData

laz, shape file

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR

• https://doi.org/10.1016/j.rse.2019.111355

• IDEAS+ contract funded by ESA-ESRIN

Wageningen University & Research