文献类型：期刊文献

英文题名：Lidar biomass index: A novel solution for tree-level biomass estimation using 3D crown information

作者：Wang, Qiang[1] Pang, Yong[2,3] Chen, Dongsheng[4,5] Liang, Xiaojun[2,3] Lu, Jun[2]

第一作者：Wang, Qiang

通信作者：Pang, Y[1]

机构：[1]Heilongjiang Inst Technol, Dept Surveying Engn, Harbin 150040, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]NFGA, State Key Lab Forestry Remote Sensing & Informat, Beijing 100091, Peoples R China;[4]NFGA, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[5]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, State Forestry Adm, Beijing 100091, Peoples R China

年份：2021

卷号：499

外文期刊名：FOREST ECOLOGY AND MANAGEMENT

收录：;EI(收录号：20213510833087);Scopus(收录号：2-s2.0-85113590943);WOS:【SCI-EXPANDED(收录号:WOS:000696910300001)】；

基金：This research was funded by the China National Key Research and Development Program (Grant No. 2020YFE0200800 and 2017YFD0600404), and the Natural Science Foundation of Heilongjiang Province (Grant No. LH2020D013), and the Provincial Echelon Training Program of Heilongjiang Institute of Technology(Grant No.2020LJ01), the Innovation Team Foundation of Heilongjiang institute of technology (Grant No. 2018CX04), and National Natural Science Foundation of China (Grant No.41201435). We thank Lei You for providing the TLS data over 17 trees, and Huilin Gao for processing analytical trees. We thank Haowei Zhang for assistance with the processing field work data.

语种：英文

外文关键词：Terrestrial laser scanning; Biomass; Tree crown; Lidar Biomass Index (LBI); Allometric model

摘要：Estimating forest aboveground biomass (AGB) is a crucial step to better understand the carbon sequestration capacity of forest ecosystems and their interactions with climate change. The Light detection and ranging (Lidar) derived three dimensional (3-D) structural information makes it possible to accurately estimate forest AGB based on allometric growth relationships. In this study, we propose a novel physical-based parameter named "Lidar Biomass Index (LBI)" based on the lidar equation using point cloud data. Both terrestrial laser scanning (TLS) data and reconstructed point cloud data of analytical trees were used. By comparing lidar-based AGB with field-based deconstructed measurements of 57 trees (including 40 coniferous and 17 broadleaf trees) in Northeast China, our results showed that the LBI-H-Cmean-based tree-level AGB better explained variations in the field data obtained for coniferous species (Larix kaempferi) (R-2 = 0.948, RMSE = 23.301 kg) than that of broadleaf species (Fraxinus mandshurica) (R-2 = 0.881, RMSE = 19.428 kg). The LBI provides an effective solution for estimating tree-level AGB from a 3-D perspective.