Comparative Study on Individual Tree,Aboveground Biomass Estimation Based on Terrestrial Laser Scanning and Mobile LiDAR
ZHANG Yiying
GAO Yang
XIN Xiaoyue
LV Jia
ZHANG Tianhui
LU Huicui
YANG Jinming
Abstract：This study compared mobile Light Detection and Ranging(LiDAR)and terrestrial laser scanning(TLS)combined with quantitative structure models(TreeQSMs)for estimating aboveground biomass(AGB).Twenty-six trees within the Chengyang campus of Qingdao Agricultural University were scanned using a TLS device(Trimble X7)and two mobile LiDAR devices(LiGrip H120 and OmniSLAM R8+).Point cloud data were processed through denoising,ground point classification,ground-based normalization,and individual tree segmentation.Optimized TreeQSMs were used to construct 3D geometric models of tree trunks and branches,to extract diameter at breast height(DBH)and tree height.Tree volumes were converted to AGB based on species-specific wood density.The results showed that:(1)No significant differences were observed in the optimal parameters of TreeQSM modeling between mobile LiDAR and TLS point clouds.(2)DBH values extracted using TreeQSM from TLS,LiGrip,and R8+point clouds had coefficients of determination(R2)of 0.945,0.926,and 0.942 compared to measured DBH,with RMSE values of 2.1 cm(5.9％),4.4 cm(12.4％),and 2.7 cm(7.6％),respectively.Tree height measured and extracted from UAV LiDAR showed R2 values of 0.878,0.871,and 0.822,with RMSE values of 1 m(4.6％),1.2 m(5.6％),and 1 m(4.6％)for TLS,LiGrip,and R8+,respectively.(3)The AGB estimated using LiGrip and R8+showed R2 values of 0.913 and 0.955,RMSE values of 0.836 t(53.9％)and 0.503 t(32.5％),and concordance correlation coefficients(CCC)of 0.739 and 0.88,respectively,compared to TLS-derived estimates.Trunk biomass showed smaller deviations than branch biomass,with R2 values of 0.967 and 0.932,RMSE values of 0.04 t(10.6％)and 0.036 t(9.7％),and CCC values of 0.95 and 0.96 for LiGrip and R8+,respectively.This study showed that the approach combining mobile LiDAR with TreeQSMs for extracting tree parameters and estimating single-tree biomass can partially replace TLS.Higher accuracy of mobile LiDAR point clouds leads to more reliable estimation results.This study provides a reference for using mobile LiDAR in single-tree and regional biomass estimation studies.
Keywords：extraction of forest parameterssingle tree segmentationquantitative structural modelsingle-tree biomass
Publication Date：2025-06-28
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：11( 41-50,63 )