Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 20; p. 5211
• Main Authors: Zhou, Lv, Li, Xuejian, Zhang, Bo, Xuan, Jie, Gong, Yulin, Tan, Cheng, Huang, Huaguo, Du, Huaqiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: 3D green volume; aboveground biomass; Algorithms; Alpha shapes; Biomass; Clouds; Computational geometry; Convexity; Coupling; Estimation; Forests; Growth models; Lasers; Lidar; Model accuracy; Precipitation; random forest model; Remote sensing; Scanners; Three dimensional models; Trees; UAV-Lidar; Unmanned aerial vehicles; urban forest; Urban forests; China

Three dimensional (3D) green volume is an important tree factor used in forest surveys as a prerequisite for estimating aboveground biomass (AGB). In this study, we developed a method for accurately calculating the 3D green volume of single trees from unmanned aerial vehicle laser scanner (ULS) data...