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The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory
Su, Yanjun1; Guo, Qinghua1; Jin, Shichao1; Guan, Hongcan1; Sun, Xiliang1; Ma, Qin2; Hu, Tianyu1; Wang, Rui1; Li, Yumei1
2021
发表期刊IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN1545-598X
卷号18期号:9页码:1660-1664
摘要Forest inventory holds an essential role in forest management and research, but the existing field inventory methods are highly time-consuming and labor-intensive. Here, we developed a simultaneous localization and mapping-based backpack light detection and ranging (LiDAR) system with dual orthogonal laser scanners and an open-source Python package called Forest3D for efficient and accurate forest inventory applications. Two key forest inventory variables, tree height and diameter at breast height (DBH), were extracted at six study sites with different tree species compositions. In addition, the vertical point density distribution and leaf area density (LAD) were calculated for two complex natural forest sites. The results showed that the backpack LiDAR system together with the Forest3D package accurately estimated the tree height (R-2 = 0.65, RMSE = 1.90 m) and DBH (R-2 = 0.95, RMSE = 0.02 m), which were equivalent to those derived from terrestrial laser scanning (TLS), but with much higher efficiency. The point density of the backpack LiDAR data was higher than or the same as that of the TLS data across all height strata, and the estimated LAD fit well with the TLS estimates (R-2 > 0.92, RMSE = 0.01 m(2)/m(3)). The backpack LiDAR system, along with the Forest3D package, provides an efficient and accurate solution for extracting forest inventory variables, which should be of great interests to forest managers and researchers.
关键词Backpack light detection and ranging (LiDAR) system diameter at breast height (DBH) forest inventory leaf area density (LAD) simultaneous localization and mapping (SLAM) terrestrial laser scanning (TLS) tree height
学科领域Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
DOI10.1109/LGRS.2020.3005166
收录类别SCI
语种英语
WOS关键词SIMULTANEOUS LOCALIZATION ; TERRESTRIAL ; ALGORITHM ; HEIGHT ; SLAM
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000690441200038
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
文献子类Article
出版地PISCATAWAY
EISSN1558-0571
资助机构National Key Research and Development Program of China [2017YFC0503905] ; Frontier Science Key Programs of Chinese Academy of Sciences [QYZDY-SSW-SMC011] ; National Natural Science Foundation of China [41871332, 31971575, 0011107]
作者邮箱ysu@ibcas.ac.cn ; qguo@ibcas.ac.cn ; jinshichao1993@gmail.com ; guanhongcan@gmail.com ; sxl456852@ibcas.ac.cn ; qm153@msstate.edu ; tianyuhu@ibcas.ac.cn ; wangrui@ibcas.ac.cn ; liyumei@ibcas.ac.cn
引用统计
被引频次:40[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/2S10CLM1/26359
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Mississippi State Univ, Dept Forestry, Starkville, MS 39762 USA
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GB/T 7714
Su, Yanjun,Guo, Qinghua,Jin, Shichao,et al. The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2021,18(9):1660-1664.
APA Su, Yanjun.,Guo, Qinghua.,Jin, Shichao.,Guan, Hongcan.,Sun, Xiliang.,...&Li, Yumei.(2021).The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,18(9),1660-1664.
MLA Su, Yanjun,et al."The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 18.9(2021):1660-1664.
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