Single Tree Information Extraction of Artificial Chinese Fir Forest Based on Ground Air Radar Data
With the continuous advancement of green economy and ecological civilization,the digitization and fine man-agement of forest stand structure information are becoming more and more important.However,due to the blind spots that occur when using lidar alone to detect forests,it is impossible to form a complete three-dimensional point cloud of for-est trees,so this studyused the fusion of UAV airborne radar and ground-based radarfor investigation,and the detected da-ta can be processed to obtain a high-precision point cloud model and a individual tree information table.The results showed that the accuracy of individual tree positioning and recognition was 94％,the average tree height difference was 0.16 m,the average DBH difference was 0.23 cm,the tree height and DBH R2 were 0.988 1 and 0.974 6,and the root mean square error was 0.266 3 cm and 0.613 6 m,respectively.The combined point cloud of airborne lidar and ground-based li-darhas great practical significance for the investigation and monitoring of artificial pond fir forest resources,and provides strong technical support for the research and application of rapid extraction of stand information.
UAV Lidarground-based Lidarpoint cloud fusionSingle wood information extraction
NETL
NSTL
万方数据
