Estimating parameters of trees in forest using point cloud data of airborne LIDAR
The research estimated the representative species parameters of individual trees using the point cloud data of airborne LIDAR obtained by simultaneous remote sensing and ground-based experiment in the Heihe River Basin. Firstly, the CHM ( canopy height model) was created from point cloud data. Then, the parameters of individual trees were extracted, such as tree height, crown diameter etc. The diameters at breast height ( DBH ) of individual trees were estimated using relative growth equation. Finally, the bio-mass of individual trees of representative species ware obtained. Field surveying scheme designed a 100m × 100m super plot, which was divided into 16 subplots by 25m × 25m size. The accurate position of individual trees was surveyed by DGPS and total station. Individual trees of field surveying and extracted result were matched by geographic position.
NETL
NSTL
万方数据
维普
