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Forest and Grassland Resources Research >

2020 , Vol. 0 >Issue 3: 105 - 110

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2020.03.020

Technical Application

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

  • Can XU ,
  • Tengda JIANG
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  • 1. LU'AN Open University,Anhui LU'AN 23700,China
    2. Beike Tianhui Technology Co.,Ltd.Anhui Hefei 230000,China

Received date: 2020-03-02

  Revised date: 2020-03-20

  Online published: 2020-07-30

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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

Cite this article

Can XU , Tengda JIANG . A Method of Estimating Forest Stock Volume Parameters from Airborne LiDAR Data[J]. Forest and Grassland Resources Research, 2020 , 0(3) : 105 -110 . DOI: 10.13466/j.cnki.lyzygl.2020.03.020

References

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