Title :
Evaluation of UAV-based forest inventory system compared with LiDAR data
Author :
Wenjian Ni;Jianli Liu;Zhiyu Zhang;Guoqing Sun;Aqiang Yang
Author_Institution :
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese, Academy of Sciences, Beijing 100101, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Forest spatial structure is essential for researches on forest ecosystem dynamics. Considering that the field measurement of forest structures over large field plot is labor-intensive and time-consuming, a forest inventory system is developed based on unmanned aerial vehicle (UAV). This study presented the initial evaluation of this system by comparisons with LiDAR data. Results showed that most trees appeared in LiDAR canopy height model (CHM) could also be detected in UAV CHM. The UAV system could measure forest height at plot level with R2=0.87 and RMSE=1.9 m taking CHM from LiDAR as reference data.
Keywords :
"Laser radar","Vegetation","Remote sensing","Three-dimensional displays","Ecology","Cameras","Ecosystems"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326670