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Forest and Grassland Resources Research >

2024 , Vol. 0 >Issue 2: 68 - 79

DOI: https://doi.org/10.13466/j.cnki.lczyyj.2024.02.009

Scientific Research

Volume Estimation Method of High Canopy Density Pinus massoniana Forest Based on UAV Image

  • Yaopei LUO ,
  • Heping LI ,
  • Guangbin YANG ,
  • Gang CEN ,
  • Man LI ,
  • Qianyang CAO ,
  • Renru WANG ,
  • Panfang CHEN
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  • 1. School of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025,China
    2. Key Laboratory of Mountain Resources and Environmental Remote Sensing Application,Guiyang 550025,China
    3. Guizhou First Surveying and Mapping Institute,Guiyang 550025,China
    4. Forest Survey and Planning Institute of Guizhou Province,Guiyang 550003,China

Received date: 2023-12-11

  Revised date: 2024-01-18

  Online published: 2024-09-02

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Abstract

In order to reduce the cost of traditional field investigation and improve the efficiency of high canopy density forest resource investigation,multi-spectral UAV images combined with field sample survey data were used as the source data,and the Pinus massoniana pure stand was used as the research object.The stand stock volume in the study area was estimated by using the canopy height model(CHM)and six vegetation indices from multi-spectral images.The results show that:1)The assistance of a high-resolution digital elevation model can effectively compensate for the defect that UAV images can not extract ground points from in dense forests,improve the accuracy of CHM construction,and achieve accurate extraction of tree height in dense forests.2)When CHM was used to extract the tree height of a single tree in the study area and estimate the volume,292 Pinus massoniana were extracted from the plot,and the average tree height was 18.77 m.A total of 18 120 Pinus massoniana were extracted from the subcompartment area,and the average tree height was 17.02 m.The measured average tree height was 18.17 m.The average tree height extraction effect was good.The estimated volume was 7 466.74 m3,the measured volume was 9 024.40 m3,and the accuracy of the estimation was 82.90%.3)The RMSE of the vegetation index model is 0.39,R2=0.84,and the accuracy of the model is high.The volume is estimated to be 8 620.30 m3,and the estimation accuracy is 96.26%.By using UAV remote sensing technology,both of the two stock volume estimation methods can achieve rapid estimation of stock volume in high-canopy density forests.Among them,the effect of estimating stock volume by extracting vegetation index from multi-spectral data is better.This provides a strong scientific basis for further promotion and application of UAV images in surveys of forest resources with high canopy density.

Key words： UAV image; high canopy density; Pinus massoniana; canopy height model; vegetation index; stock volume

Cite this article

Yaopei LUO , Heping LI , Guangbin YANG , Gang CEN , Man LI , Qianyang CAO , Renru WANG , Panfang CHEN . Volume Estimation Method of High Canopy Density Pinus massoniana Forest Based on UAV Image[J]. Forest and Grassland Resources Research, 2024 , 0(2) : 68 -79 . DOI: 10.13466/j.cnki.lczyyj.2024.02.009

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