Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses

doi:10.3390/rs14081806

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses
	Xie, Yuyang ; Yang, Tao 2; Wang, Xiaofeng 2; Chen, Xi 2; Pang, Shuxin 3; Hu, Juan 4; Wang, Anxian 4; Chen, Ling 4; Shen, Zehao
刊名	REMOTE SENSING
	2022
卷号	14 期号:8
关键词	backpack lidar closed forest SLAM stem positioning accuracy paired-tree distance
DOI	10.3390/rs14081806
文献子类	Article
英文摘要	Accurate tree positioning and measurement of structural parameters are the basis of forest inventory and mapping, which are important for forest biomass calculation and community dynamics analyses. Portable backpack lidar that integrates the simultaneous localization and mapping (SLAM) technique with a global navigation satellite system receiver has greater flexibility for tree inventory than terrestrial laser scanning, but it has never been used to measure and map forest structure in a large area (>10(1) hectares) with high tree density. In the present study, we used the LiBackpack DG50 backpack lidar system to obtain the point cloud data of a 10 ha plot of subtropical evergreen broadleaved forest, and applied these data to quantify errors and related factors in the diameter at breast height (DBH) measurements and positioning for more than 1900 individual trees. We found an average error of 4.19 cm in the DBH measurements obtained by lidar, compared with manual field measurements. The incompleteness of the tree stem point clouds was the main factor that caused the DBH measurement errors, and the field DBH measurements and density of the point clouds also had significant impacts. The average tree positioning error was 4.64 m, and it was significantly affected by the distance and route length from the measured trees to the data acquisition start position, whereas it was affected little by the habitat complexity and characteristics of tree stems. The tree positioning measurement error led to increases in the mean value and variability of paired-tree distance error as the sample plot scale increased. We corrected the errors based on the estimates of predictive models. After correction, the DBH measurement error decreased by 31.3%, the tree positioning error decreased by 44.3%, and the paired-tree distance error decreased by 56.3%. As the sample plot scale increased, the accumulated paired-tree distance error stabilized gradually.
学科主题	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号	2072-4292
出版地	BASEL
WOS关键词	INDIVIDUAL TREES ; POINT CLOUDS ; TERRESTRIAL ; HEIGHT ; UAV ; QUANTIFICATION ; REGISTRATION ; CLIMATE
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	MDPI
WOS记录号	WOS:000787398300001
资助机构	Zhujiangyuan Provincial Natural Reserve ; Natural Science Foundation of China [41790425]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/28725]
专题	植被与环境变化国家重点实验室
作者单位	1.Zhanyi Branch Zhujiangyuan Prov Nat Reserve Adm &, Qujing 655331, Peoples R China 2.Peking Univ, Coll Urban & Environm Sci, Minist Educ Key Lab Earth Surface Proc, Beijing 100871, Peoples R China 3.Yunnan Univ, Sch Ecol & Environm Sci, Kunming 650091, Yunnan, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Xie, Yuyang,Yang, Tao,Wang, Xiaofeng,et al. Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses[J]. REMOTE SENSING,2022,14(8).
APA	Xie, Yuyang.,Yang, Tao.,Wang, Xiaofeng.,Chen, Xi.,Pang, Shuxin.,...&Shen, Zehao.(2022).Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses.REMOTE SENSING,14(8).
MLA	Xie, Yuyang,et al."Applying a Portable Backpack Lidar to Measure and Locate Trees in a Nature Forest Plot: Accuracy and Error Analyses".REMOTE SENSING 14.8(2022).