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FOREST RESOURCES WANAGEMENT ›› 2020, Vol. 0 ›› Issue (3): 111-117.doi: 10.13466/j.cnki.lyzygl.2020.03.021

• Technical Application • Previous Articles     Next Articles

Estimation of Forest Canopy Height Based on Large-Footprint Airborne LiDAR Data

SUN Zhongqiu1(), WU Fayun1(), GAO Xianlian1, GAO Jinping1, HU Yang2   

  1. 1. Academy of Inventory and Planning,National Forestry and Grassland Administration,P.R.China 100714
    2. Beijing Forestry University,Beijing 100091
  • Received:2020-03-02 Revised:2020-03-20 Online:2020-06-28 Published:2020-07-30
  • Contact: Fayun WU E-mail:qiuqiu8708@163.com;wufayun@sina.com

Abstract:

Using the echo waveform data collected by the large-footprint airborne forestry LiDAR designed by Satellite Forestry Application Center of National Forestry and Grassland Administration,a series of parameters like background noise,signal starting position,ground echo position were processed based on Matlab 2014a,so as to estimate forest canopy height.Ten echo waveforms near the sample plot were selected to estimate the height of forest canopy.And the accuracy of the forest canopy height estimated by echo waveform data was verified.The results showed that echo waveform collected by airborne large-footprint LiDAR had different degrees of ability to estimate seven kinds of forest canopy height.Estimation of the weighted basal area average height and the average wood of dominant tree's average height was the best,with the relative errors of 4.36% and 8.29%,RMSE of 1.40 m and 1.55 m.For the average height H and the average height D of the dominant tree,the estimation ability was the worst,with the relative errors of 19.81% and 22.00%,and RMSE of 2.99 m and 3.34 m.

Key words: forestry, airborne, large-footprint LiDAR, forest canopy height, estimation

CLC Number: