Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data

doi:10.1109/TGRS.2018.2843382

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	Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data
	Li, Yumei 2; Su, Yanjun 3; Hu, Tianyu ; Xu, Guangcai ; Guo, Qinghua 3
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2018
卷号	56 期号:8 页码:4945-4955
关键词	Beta-distribution model leaf azimuthal angle leaf inclination angle projection coefficient model terrestrial laser scanner (TLS)
ISSN号	0196-2892
DOI	10.1109/TGRS.2018.2843382
文献子类	Article
英文摘要	Terrestrial laser scanning is a promising tool for estimating leaf angle (including leaf inclination and azimuthal angles) distribution (LAD). However, previous studies focus on the retrieval of leaf inclination angle distribution, very few studies have considered the distribution of leaf azimuthal angle due to the restriction of measurement techniques. In this paper, we developed a new method to obtain more accurate leaf inclination and azimuthal angle estimations based on leaf point cloud segmentation and filtration and then fit LAD functions using two-parameter Beta-distribution model. In addition, we constructed a new projection coefficient model with two parameters G(theta, phi) using Nilson's algorithm based on the accurate retrieval of LAD. To assess the influence of leaf numbers on leaf inclination and azimuthal angle estimations, we modeled 160 individual leaves and 10 trees with different leaf numbers. In addition, to validate the final results, we also sampled three magnolia trees with different leaf numbers and manually measured leaf inclination and azimuthal angles of all their leaves using an angle measurement device. All results showed that the method proposed in this paper can provide accurate leaf inclination and azimuthal angles (leaf inclination angle: R-2 = 0.98, RMSE = 2.41 degrees and leaf azimuthal angle: R-2 = 0.99, RMSE = 3.44 degrees). The simulated LAD and G(theta, phi) estimations based on these leaf inclination and azimuthal angles were strongly correlated with those obtained from ground truth measurements (P > 0.05).
学科主题	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号	1558-0644
出版地	PISCATAWAY
WOS关键词	BROADLEAF CANOPIES ; DENSITY-FUNCTION ; AREA INDEX ; ORIENTATION ; LIDAR ; INCLINATION ; FOREST ; PLANT ; REFLECTANCE ; DERIVATION
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000439980200050
资助机构	National Key R&D Program of China [2017YFC0503905, 2016YFC0500202] ; Chinese Academy of Sciences (CAS)Chinese Academy of Sciences [QYZDY-SSW-SMC011] ; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31741016] ; CASChinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/20510]
专题	植被与环境变化国家重点实验室
作者单位	1.Univ Calif Merced, Sierra Nevada Res Inst, Sch Engn, Merced, CA 95343 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
推荐引用方式 GB/T 7714	Li, Yumei,Su, Yanjun,Hu, Tianyu,et al. Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(8):4945-4955.
APA	Li, Yumei,Su, Yanjun,Hu, Tianyu,Xu, Guangcai,&Guo, Qinghua.(2018).Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(8),4945-4955.
MLA	Li, Yumei,et al."Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.8(2018):4945-4955.