ULS-BLS Point Cloud Datasets for Forest Registration
Abstract
We collected a test dataset for BLS-ULS registration in an experimental woodland of Northeast Forestry University (129.10°E, 46.90°N). Five representative plots were selected to capture the topographic variation, all representing natural mixed coniferous-broadleaved forests with complex structure and more than ten tree species. ULS data were acquired using a DJI M350 UAV equipped with a GreenValley H800 LiDAR sensor (https://www.greenvalleyintl.com). BLS data were collected using a GreenValley H300 LiDAR sensor.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 May 2026
- Document type
- Dataset