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FOREST RESOURCES WANAGEMENT ›› 2019›› Issue (4): 107-116.doi: 10.13466/j.cnki.lyzygl.2019.04.016

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Tree Vertex and Height Extraction Based on UAV Imagery and Analysis on its Influencing Factors

LIU Jiangjun1,2(), GAO Haili3, FANG Luming1,2(), ZHENG Xinyu1,4, JIANG Guangyu1,2   

  1. 1. School of Information Engineering,Zhejiang A&F University,Hangzhou,Zhejiang 311300,China
    2. Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou, Zhejiang 311300, China
    3. Hangzhou Public Welfare Forests and State-owned Forest Farm Mamagement Bureau, Hangzhou, Zhejiang 311300, China
    4. Key Laboratory of State Forestry and Grassland Administration on Forestry Sensing Technology and Intelligent Equipment,Hangzhou, Zhejiang 311300, China
  • Received:2019-06-27 Revised:2019-07-19 Online:2019-08-28 Published:2020-10-20
  • Contact: FANG Luming E-mail:904300315@qq.com;fluming@126.com

Abstract:

In this paper,the feasibility of using local maximum algorithm to extract tree vertices and tree height based on the canopy height model(CHM) generated by UAV imagery was discussed.In addition,the effect of resolution and window size on tree vertex extraction was also discussed.In this study,a dense conifer-broadleaf forest is used as sample plot.The SfM(Structure from Motion) algorithm was combined with the UAV images to reconstruct the research area in three dimensions,and a series of three-dimensional data such as point cloud,digital surface model(DSM),digital elevation model(DEM) and CHM were generated.Then,for different resolutions of CHM,different smoothing window size and moving window size combinations were used to extract the tree vertices and the accuracies of results were evaluated.When the CHM resolution is 0.4m,the size of smoothing window is 3×3 pixels,and the size of moving window is 3×3 pixels,the extraction accuracy of tree vertex is the highest,and the F-Measure is 77.08%.The extracted tree heights corresponding to the 37 tree vertices extracted based on the combination was compared with the tree heights measured in the field,and the R 2,RMSE,rRMSE is 0.9669,1.4114m,10.69% respectively.The results showed that UAV imagery can be used to extract tree vertices and tree heights of complex forests.Extracting the tree vertices based on the local maximum algorithm needs to determine the resolution of the CHM,the smoothing window size and the moving window size according to the actual situation to obtain the best extraction result.

Key words: unmanned aerial vehicle, tree vertex, tree height, resolution, window size

CLC Number: