文献类型：期刊文献

英文题名：Accurate tree disc volume estimation using TLS: validation and improvement via point cloud repair

作者：Xie, Lu[1,2] Wu, Fangming[2] Zhao, Dan[2,3] Du, Liming[4] Wu, Jinchen[2,3] Xu, Cong[2] Chen, Junhua[2,3] Mu, Xuan[2,3] Zhao, Ping[2,3] Li, Xiaomin[2,3] Zheng, Qianhui[5] Meng, Jinghui[1] Zeng, Yuan[2,3] Wu, Bingfang[2,3]

第一作者：Xie, Lu

通信作者：Wu, FM[1];Zhao, D[1];Zhao, D[2]

机构：[1]Beijing Forestry Univ, Sch Forestry, Beijing, Peoples R China;[2]Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing & Digital Earth, Beijing, Peoples R China;[3]Univ Chinese Acad Sci, Beijing, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing, Peoples R China;[5]Natl Forestry & Grassland Adm, Acad Forestry Inventory & Planning, Beijing, Peoples R China

年份：2025

卷号：16

外文期刊名：FRONTIERS IN PLANT SCIENCE

收录：;Scopus(收录号：2-s2.0-105017055765);WOS:【SCI-EXPANDED(收录号:WOS:001578154600001)】；

基金：The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the National Key Research and Development Program of China (2022YFF1302100) and National Natural Science Foundation of China (No. 42371357, U23A2021) and AIRCAS Project (No. E4Z202021F).

语种：英文

外文关键词：terrestrial laser scanning; disc volume estimation; volume accuracy validation; water displacement method; 3D reconstruction

摘要：Introduction Tree trunk volume is a key parameter in forest inventory. Traditional forest surveys typically rely on sample trees and trunk volume equations to estimate tree trunk volume; however, the collection of sample trees is destructive, and trunk volume equations often involve considerable estimation errors. As an emerging technology, terrestrial laser scanning (TLS) has been regarded as an efficient and high-precision alternative for tree trunk volume estimation. Nevertheless, the accuracy of TLS in tree-level trunk volume estimation still lacks systematic evaluation.Methods To this end, this study used TLS to scan disc samples cut from standard trees, and evaluated the reliability of TLS-based tree trunk volume estimation by comparing point cloud-derived disc volumes with those obtained using the water displacement method. Utilizing the Leica RTC360 scanner, 123 disc samples from four tree species (Altingia excelsa, Robinia pseudoacaci, Platycladus orientalis, and Quercus suber) were collected. A novel bottom surface filling algorithm based on point cloud projection was developed to mitigate data loss at disc bases, followed by Poisson surface reconstruction and trunk volume calculation via the Divergence Theorem.Results The results demonstrated high accuracy (R-2 = 0.940, CCC = 0.9745, rRMSE = 14.92%), with a slight underestimation bias (-5.31 cm(3)). Species-specific analyses indicated significant differences in estimation accuracy (Kruskal-Wallis, H = 21.1606, p = 0.0001), with Platycladus orientalis exhibiting the highest accuracy (rRMSE = 4.37%) due to its smooth bark and uniform wood structure, while Quercus suber showed the largest errors (rRMSE = 7.10%) attributed to its rough, blocky bark.Discussion Bark characteristics and wood structure were identified as key factors influencing TLS accuracy. The analysis revealed that smoother scanned surfaces-comprising both bark surfaces and cross-sections-resulted in higher estimation accuracy. These surface characteristics are closely linked to species-specific external texture and internal wood structure. This study elucidates the influence mechanisms of species-specific physical characteristics on the accuracy of TLS-based trunk volume estimation and proposes targeted strategies for optimizing scanning parameters and point cloud processing. The study provides a robust theoretical and technical foundation for high-precision, non-destructive tree trunk volume measurement in forestry applications.