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

文献类型：期刊论文

作者Li, Yumei1; Su, Yanjun2; Hu, Tianyu; Xu, Guangcai; Guo, Qinghua2
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期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
DOI10.1109/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
出版地PISCATAWAY
电子版国际标准刊号1558-0644
WOS关键词BROADLEAF CANOPIES ; DENSITY-FUNCTION ; AREA INDEX ; ORIENTATION ; LIDAR ; INCLINATION ; FOREST ; PLANT ; REFLECTANCE ; DERIVATION
语种英语
WOS记录号WOS:000439980200050
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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
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.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.Univ Calif Merced, Sierra Nevada Res Inst, Sch Engn, Merced, CA 95343 USA
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.

入库方式： OAI收割

来源：植物研究所

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