Estimation of Single Tree Factor of Eucalyptus by Merging Airborne and Backpack LiDAR

doi:10.13466/j.cnki.lyzygl.2022.06.020

Abstract

Abstract:

We investigated the applicability of fused data in forest resource surveys by fusing backpack LiDAR and airborne LiDAR point cloud data to estimate the single wood factor of eucalyptus trees in four eucalyptus plantations in Wuzhishan City,Hainan Province,with a total of 157 eucalyptus trees. A comparison of the results with the actual sample plots showed that the fused point cloud data had an R²=0.982 and RMSE=0.868cm for the estimation of diameter at breast height,and R²=0.895 and RMSE=2.005m for the estimation of tree height,which was better than that of the high accuracy of the tree obtained using only backpack LiDAR data (R²=0.835 and RMSE=2.458m).This study demonstrated that backpack LiDAR-based point cloud data was more accurate in obtaining single wood diameter at breast height,and that fused point cloud data could improve the estimation of tree height from single backpack point cloud data.

Key words: backpack LiDAR, airborne LiDAR, single wood parameters, diameter at breast height, tree height

CLC Number:

S758

ZHANG Xinjie, ZHENG Yanfeng, WEN Kunjian, WANG Pengjie, WU Fayun. Estimation of Single Tree Factor of Eucalyptus by Merging Airborne and Backpack LiDAR[J]. FOREST RESOURCES WANAGEMENT, 2022, 0(6): 131-137.

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样地编号	单木株数/株	胸径范围/cm	树高范围/m	平均胸径/cm	平均树高/m	郁闭度
1	36	7.5~30.0	6.2~25.2	20.1	19.2	0.6
2	23	12.6~44.2	7.0~35.0	27.1	26.5	0.4
3	62	8.3~25.1	9.2~23.5	13.9	16.7	0.7
4	38	9.1~20.9	9.9~29.7	15.0	19.8	0.5

设备参数	数值
激光扫描器	Velodyne VLP-16 x 2
激光器扫描距离/m	100
激光波长/nm	903
扫描频率/(pts/s)	600000
水平视场角/(°)	0~360
垂直视场角/(°)	-90~90
LiDAR精度/cm	±3
相对精度/cm	3
绝对精度/cm	5

样地编号	单木株数/株	点云分割株数/株			召回率/%	精确率/%
样地编号	单木株数/株	正确分割(TP)	漏分割(FN)	错误分割(FP)	召回率/%	精确率/%
1	36	36	0	3	100.00	92.31
2	23	23	0	2	100.00	92.00
3	62	61	1	4	98.39	93.85
4	38	38	0	1	100.00	97.44