Individual tree segmentation and biomass estimation based on UAV Digital aerial photograph

作     者：SUN Zhao WANG Yi-fu DING Zhi-dan LIANG Rui-ting XIE Yun-hong LI Rui LI Hao-wei PAN Lei SUN Yu-jun SUN Zhao;WANG Yi-fu;DING Zhi-dan;LIANG Rui-ting;XIE Yun-hong;LI Rui;LI Hao-wei;PAN Lei;SUN Yu-jun

作者机构：State Forestry&Grassland Administration Key Laboratory of Forest Resources&Environmental ManagementBeijing Forestry UniversityBeijing 100083China Northwest SurveyingPlanning and Designing Institute of National Forestry and Grassland AdministrationXi'an 710048China 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2023年第20卷第3期

页      面：724-737页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 

基　　金：grants from the National Natural Science Foundation of China(No.31870620) the Fundamental Research Funds for the Central Universities(No.PTYX202107) the National Technology Extension Fund of Forestry(06) 

主　　题：UAV images Structure from motion DAP point clouds Individual tree segmentation Individual tree biomass models 

摘      要：Digital aerial photograph(DAP)data is processed based on Structure from Motion(Sf M)algorithm and regional net adjustment method to generate digital surface discrete point clouds similar to Light Detection and Ranging(LiDAR)and digital orthophoto mosaic(DOM)similar to optical remote sensing *** this study,we obtained highresolution images of mature forests of Chinese fir by unmanned aerial vehicle(UAV)flying through crossroute flight,and then reconstructed the threedimensional point clouds in the UAV aerial area by SfM *** point cloud segmentation(PCS)algorithm was used for the individual tree segmentation,and the F-score of the three sample plots were 0.91,0.94,and 0.94,*** tree biomass modeling was conducted using 155 mature Chinese fir forests which were correctly *** relative root mean squared error(rRMSE)values of random forest(RF),bagged tree(BT)and support vector regression(SVR)were 34.48%,35.74%and 40.93%,*** study demonstrated that DAP point clouds had great potential to extract forest vertical parameters and could be applied successfully in individual tree segmentation and individual tree biomass modeling.