Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system

doi:10.1186/s40663-020-00237-0

	Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system
	Xie, Yuyang ; Zhang, Jie ; Chen, Xiangwu 1; Pang, Shuxin 2; Zeng, Hui ; Shen, Zehao 1
	2020
发表期刊	FOREST ECOSYSTEMS
ISSN	2095-6355
卷号	7 期号:1
摘要	Background The LiBackpack is a recently developed backpack light detection and ranging (LiDAR) system that combines the flexibility of human walking with the nearby measurement in all directions to provide a novel and efficient approach to LiDAR remote sensing, especially useful for forest structure inventory. However, the measurement accuracy and error sources have not been systematically explored for this system. Method In this study, we used the LiBackpack D-50 system to measure the diameter at breast height (DBH) for a Pinus sylvestris tree population in the Saihanba National Forest Park of China, and estimated the accuracy of LiBackpack measurements of DBH based on comparisons with manually measured DBH values in the field. We determined the optimal vertical slice thickness of the point cloud sample for achieving the most stable and accurate LiBackpack measurements of DBH for this tree species, and explored the effects of different factors on the measurement error. Result 1) A vertical thickness of 30 cm for the point cloud sample slice provided the highest fitting accuracy (adjusted R-2 = 0.89, Root Mean Squared Error (RMSE) = 20.85 mm); 2) the point cloud density had a significant negative, logarithmic relationship with measurement error of DBH and it explained 35.1% of the measurement error; 3) the LiBackpack measurements of DBH were generally smaller than the manually measured values, and the corresponding measurement errors increased for larger trees; and 4) by considering the effect of the point cloud density correction, a transitional model can be fitted to approximate field measured DBH using LiBackpack- scanned value with satisfactory accuracy (adjusted R-2 = 0.920; RMSE = 14.77 mm), and decrease the predicting error by 29.2%. Our study confirmed the reliability of the novel LiBackpack system in accurate forestry inventory, set up a useful transitional model between scanning data and the traditional manual-measured data specifically for P. sylvestris, and implied the applicable substitution of this new approach for more species, with necessary parameter calibration.
关键词	Adaptive cylinder fitting Diameter at breast height LiBackpack Point cloud slice Point density Transitional model
学科领域	Forestry
DOI	10.1186/s40663-020-00237-0
收录类别	SCI
语种	英语
WOS关键词	LASER-SCANNING TLS ; POINT CLOUDS ; TERRESTRIAL ; STEM ; BIOMASS ; DBH ; ALGORITHM ; ECOLOGY ; GROWTH
WOS研究方向	Forestry
WOS记录号	WOS:000531702100001
出版者	SPRINGER
文献子类	Article
出版地	NEW YORK
EISSN	2197-5620
资助机构	Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41790425, 41971228]
作者邮箱	shzh@pku.edu.cn
作品OA属性	gold
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/21766
专题	植被与环境变化国家重点实验室
作者单位	1.Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China 2.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, MOE Lab Earth Surface Proc, Beijing 100871, Peoples R China 3.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,Zhang, Jie,Chen, Xiangwu,et al. Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system[J]. FOREST ECOSYSTEMS,2020,7(1).
APA	Xie, Yuyang,Zhang, Jie,Chen, Xiangwu,Pang, Shuxin,Zeng, Hui,&Shen, Zehao.(2020).Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system.FOREST ECOSYSTEMS,7(1).
MLA	Xie, Yuyang,et al."Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system".FOREST ECOSYSTEMS 7.1(2020).

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Xie-2020-Accuracy as（1254KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文