文献类型：期刊文献

英文题名：Plot-level reconstruction of 3D tree models for aboveground biomass estimation

作者：Fan, Guangpeng[1,2] Xu, Zhenyu[1] Wang, Jinhu[3] Nan, Liangliang[4] Xiao, Huijie[5] Xin, Zhiming[6] Chen, Feixiang[1]

第一作者：Fan, Guangpeng

通信作者：Chen, FX[1]

机构：[1]Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China;[2]Beijing Key Lab Urban Spatial Informat Engn, Beijing 100038, Peoples R China;[3]Chinese Acad Sci, Key Lab Quantitat Remote Sensing Technol, Beijing 100094, Peoples R China;[4]Delft Univ Technol, Fac Architecture & Built Environm, 3D Geoinformat Res Grp, NL-2628 BL Delft, Netherlands;[5]Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China;[6]Chinese Acad Forestry, Expt Ctr Desert Forestry, Inner Mongolia Dengkou Desert Ecosyst Natl Observa, Dengkou 015200, Inner Mongolia, Peoples R China

年份：2022

卷号：142

外文期刊名：ECOLOGICAL INDICATORS

收录：;EI(收录号：20223112468943);Scopus(收录号：2-s2.0-85135108408);WOS:【SCI-EXPANDED(收录号:WOS:000862695900003)】；

基金：Funding This research was jointly funded by the Fundamental Research Funds for the Central Universities (BLX202143) , Beijing Key Laboratory of Urban Spatial Information Engineering (NO. 20220109) and the Na- tional Natural Science Foundation of China (No. 61771456) .

语种：英文

外文关键词：Complex forest structure; Above-ground biomass; Estimation uncertainty; Plot-level; TLS point clouds

摘要：Complexity of forest structure is an important factor contributing to uncertainty in aboveground biomass estimates. In this study, we present a new method for reducing uncertainty in forest aboveground biomass (AGB) estimation based on plot-level terrestrial laser scanner (TLS) point clouds reconstruction. The method estimates the total AGB of plots with complex structures after automatically performing the steps of ground point filtering, single tree segmentation, and three-dimensional (3D) structure reconstruction. We used plot data from temperate and tropical forest ecosystems to verify the effectiveness of the method, reconstructing a 1300 m(2) temperate plantation plot and a 5000 m(2) mingled forest plot, respectively. The total biomass of 153 trees in the plantation plot was overestimated by 17.12 %, and the total biomass of 61 trees in the mingled forest plot was under-estimated by 10.88 %. We found that the uncertainty of aboveground biomass estimation in tropical forests with more complex structures is not necessarily greater than in plantations. Therefore, in large-scale remote sensing observations of forest biomass, the number or area of plots can be increased to reduce the uncertainty of the results caused by the complex structure. The focus of this study is to explore TLS point clouds modeling methods to reduce the uncertainty in AGB estimation caused by the complexity of forest structures, and to provide reference cases for plot-level point clouds reconstruction methods. Forest ecologists can use this method to regularly observe forest growth and obtain indicators related to forest ecology without destroying trees.