Knowledge Management System Of Institute Of Botany,CAS
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 |
ISSN | 1545-598X |
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 |
DOI | 10.1109/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 |
EISSN | 1558-0571 |
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 | |
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 |
推荐引用方式 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. |
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 | ||
S1545598X_S1545598X2(3333KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论