Derivation of Forest Parameters from Stereographic UAV Data- A Comparison with Airborne Lidar Data
Abstract
In this study unmanned aerial vehicle (UAV) image (photograph) based point clouds and products were compared to airborne LiDAR based data and products over a forested area. The test site is located in Germany, 15 km southeast of Jena. A total area of approximately 175 ha was covered during a UAV flight campaign. For this study, a subset of 4 ha (200 m x 200 m) was defined. The UAV-LiDAR comparison was accomplished at three different data levels: 1.) Point-like level (raster of maxima), 2.) Surface level (canopy height models - CHM), and 3.) Tree level (detection rate). In general, a high match between LiDAR and UAV based data/products was observed. The UAV data exhibits more details which is of particular importance for the detection of small trees. While using LiDAR data 45 out of 205 trees were not detected, only 14 trees were missed out when UAV data was used.
- Publication:
-
Living Planet Symposium
- Pub Date:
- August 2016
- Bibcode:
- 2016ESASP.740E.189T