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一种机载LIDAR数据估算森林蓄积参数的方法

  • 许粲 ,
  • 江腾达
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  • 1.安徽广播电视大学 六安分校,安徽 六安 237000
    2.北科天绘科技有限公司,安徽 合肥 230000
许粲(1992-),男,安徽六安人,助教,学士,主要从事激光雷达点云算法和远程教育研究。Email: 1002485860@qq.com

收稿日期: 2020-03-02

  修回日期: 2020-03-20

  网络出版日期: 2020-07-30

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

摘要

针对林业调查中的单株树木提取问题,提出一种基于机载激光雷达点云数据,采用局部最大值和噪点消除获取树冠顶点,利用分水岭分割方法提取单株树,根据样地树高和森林蓄积模型估算胸径和森林蓄积量的方法,与传统的人工现场勘测方法相比,具有更高的时间效率,减少了大量的人力成本。

本文引用格式

许粲 , 江腾达 . 一种机载LIDAR数据估算森林蓄积参数的方法[J]. 林草资源研究, 2020 , 0(3) : 105 -110 . DOI: 10.13466/j.cnki.lyzygl.2020.03.020

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.

参考文献

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