Published July 31, 2018
| Version v1
Dataset
Open
Leaf and wood classification framework for terrestrial LiDAR point clouds: Simulated data validation dataset
Authors/Creators
- 1. Department of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom
- 2. Department of Geography, University College London, Gower Street, London WC1E 6BT, United Kingdom; NERC National Centre for Earth Observation, Leicester, UK
- 3. CSIRO Land and Water, Black Mountain, 2601, ACT, Australia
Description
Set of 200 3D point clouds used in the validation of "Leaf and wood classification framework for terrestrial LiDAR point clouds". This dataset is a collection of point clouds simulated by a Monte-Carlo ray tracing (librat) using four 3D tree models from the fourth phase RAMI exercise (Widlowski et al, 2015).
Files
test_data.zip
Files
(265.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:09503ccd8756c6cc0a7848330f74ac7e
|
265.1 MB | Preview Download |
Additional details
References
- Widlowski et al. (2015). The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing. https://doi.org/10.1016/j.rse.2015.08.016