Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index

doi:10.1080/07038992.2016.1220829

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

	Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index
	Li, Yumei 2; Guo, Qinghua 3; Tao, Shengli 4,5; Zheng, Guang 6; Zhao, Kaiguang 7; Xue, Baolin ; Su, Yanjun
刊名	CANADIAN JOURNAL OF REMOTE SENSING
	2016
卷号	42 期号:6 页码:719-729
ISSN号	0703-8992
DOI	10.1080/07038992.2016.1220829
文献子类	Article
英文摘要	Terrestrial laser scanning (TLS) is a promising tool, used to retrieve leaf area index (LAI). However, the accuracy of LAI estimations based on TLS is still difficult to validate, because high-fidelity destructive measurements of leaf area are lacking. A comprehensive analysis of the sensitivity of TLS-based LAI estimates against various influencing factors (e.g., noise points, woody points, and voxel size) has yet to be reported. We acquired the true LAI by destructively measuring all leaves of 17 magnolia trees. We also improved a voxel-based method to estimate the LAI from the TLS data. We further assessed the sensitivity of LAI estimates against denoising, separation of woody points from foliage points, and voxel size. Our results showed that TLS-based LAI estimations were significantly related to the destructively sampled LAI (R-2 = 0.832, RMSE = 0.693). Denoising improved the TLS-based LAI accuracy with a decrease of 0.415 in RMSE. Conversely, wood-leaf separation showed little effect on the accuracy of LAI estimation. The voxel size was an important parameter affecting the accuracy of TLS-based LAI, and our new method for determining voxel size (R-2 = 0.832) proved to be more effective than the existing 2 methods (R-2 = 0.661 and 0.581).
学科主题	Remote Sensing
电子版国际标准刊号	1712-7971
出版地	KANATA
WOS关键词	GROUND-BASED LIDAR ; BOREAL FOREST ; GAP FRACTION ; VOXEL SIZE ; LAI ; AIRBORNE ; REGISTRATION ; INSTRUMENTS ; ECOSYSTEMS ; DENSITY
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	CANADIAN AERONAUTICS & SPACE INST
WOS记录号	WOS:000392651300006
资助机构	National Key Basic Research Program of ChinaNational Basic Research Program of China [2013CB956604] ; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31270563] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/25220]
专题	植被与环境变化国家重点实验室
作者单位	1.Ohio State Univ, Ohio Agr Res & Dev Ctr, Sch Environm & Nat Resources, Wooster, OH 44691 USA 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Univ Calif Merced, Sierra Nevada Res Inst, Sch Engn, 5200 North Lake Rd, Merced, CA 95343 USA 5.Peking Univ, Dept Ecol, Coll Urban & Environm Sci, Minist Educ, Beijing 100871, Peoples R China 6.Peking Univ, Dept Ecol, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China 7.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Li, Yumei,Guo, Qinghua,Tao, Shengli,et al. Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index[J]. CANADIAN JOURNAL OF REMOTE SENSING,2016,42(6):719-729.
APA	Li, Yumei.,Guo, Qinghua.,Tao, Shengli.,Zheng, Guang.,Zhao, Kaiguang.,...&Su, Yanjun.(2016).Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index.CANADIAN JOURNAL OF REMOTE SENSING,42(6),719-729.
MLA	Li, Yumei,et al."Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index".CANADIAN JOURNAL OF REMOTE SENSING 42.6(2016):719-729.