A Method of Estimating Forest Stock Volume Parameters from Airborne LiDAR Data

doi:10.13466/j.cnki.lyzygl.2020.03.020

Abstract

Abstract:

Aiming at the problem of single tree extraction in forestry inventory,a method based on Airborne LiDAR point cloud data is proposed,which uses local maximum value and noise elimination to obtain crown vertex,and uses watershed segmentation method to extract single tree,estimating DBH and forest volume based on tree height and forest volume model.Compared with the traditional artificial field survey method,it has higher time efficiency and reduces a lot of labor cost.

Key words: airborne LiDAR, local maximum, noise elimination, watershed segmentation, single tree detection

CLC Number:

S758.51

XU Can, JIANG Tengda. A Method of Estimating Forest Stock Volume Parameters from Airborne LiDAR Data[J]. FOREST RESOURCES WANAGEMENT, 2020, (3): 105-110.

Figures/Tables 6

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References 7

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参数	数据1	数据2	数据3	数据4	样地一	样地二	样地三
平均株数/株	91	49	66	74	95	150	72
平均树高/m	15.6	18.0	13.6	13.2	15	18	16.4
平均冠径/m	2.2	3.1	2.7	2.4	—	—	—
平均胸径/cm	14.1	18.3	12.1	11.2	21.1	17	20.1
平均蓄积量/m³	12.9	11.7	5.5	5.1	—	—	—

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