Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective

doi:10.1109/MGRS.2020.3032713

	Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
	Guo, Qinghua; Su, Yanjun 1,2; Hu, Tianyu 1,2; Guan, Hongcan 1,2; Jin, Shichao 1,2; Zhang, Jing 1,2; Zhao, Xiaoxia 1,2; Xu, Kexin 1,2; Wei, Dengjie 1,2; Kelly, Maggi 3; Coops, Nicholas C.
	2021
发表期刊	IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
ISSN	2473-2397
卷号	9 期号:1 页码:232-257
摘要	The advent of lidar has revolutionized the way we observe and measure vegetation structure from the ground and from above and represents a major advance toward the quantification of 3D ecological observations. Developments in lidar hardware systems and data processing algorithms have greatly improved the accessibility and ease of use of lidar observations in ecological studies. A wide range of studies has been devoted to accurately measuring and modeling vegetation structural and functional attributes from lidar data across a range of spatial scales (from individual organs to global scales) and ecosystem types (e.g., forest, agricultural, grassland, and urban ecosystems).
关键词	Laser radar Vegetation mapping Three-dimensional displays Surface emitting lasers Optical sensors Ecosystems Optical reflection
学科领域	Geochemistry & Geophysics ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.1109/MGRS.2020.3032713
收录类别	SCI
语种	英语
WOS关键词	LASER-SCANNING DATA ; SINGLE-TREE-LEVEL ; ELEMENT CLUMPING INDEX ; CROP GROWTH-MODEL ; LEAF-AREA INDEX ; AIRBORNE LIDAR ; WAVE-FORM ; HIGH-RESOLUTION ; INDIVIDUAL TREES ; CANOPY HEIGHT
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000641764700012
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
文献子类	Article
出版地	PISCATAWAY
EISSN	2168-6831
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) [XDA19050401, XDA24020202] ; National Key R&D Program of China [2017YFC0503905] ; Frontier Science Key Programs of the CAS [QYZDY-SSW-SMC011] ; National Natural Science Foundation of China [41871332, 31971575, 41901358] ; CAS President's International Fellowship Initiative [2019VTA0007] ; Natural Sciences and Engineering Research Council of Canada [RGPIN-2018-03851]
作者邮箱	guo.qinghua@gmail.com ; ysu@ibcas.ac.cn ; tianyuhu@ibcas.ac.cn ; guanhongcan@gmail.com ; jinshichao1993@gmail.com ; eve.zhangj@gmail.com ; xxia_zhao@163.com ; kexin_xu4ever@163.com ; weidengjie@ibcas.ac.cn ; maggi@berkeley.edu ; nicholas.coops@ubc.ca
作品OA属性	Green Published
引用统计	被引频次：59[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/2S10CLM1/26401
专题	植被与环境变化国家重点实验室
作者单位	1.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA 5.Coops, Nicholas C.] Univ British Columbia, Dept Forest Resource Management, Vancouver, BC, Canada
推荐引用方式 GB/T 7714	Guo, Qinghua,Su, Yanjun,Hu, Tianyu,et al. Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective[J]. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE,2021,9(1):232-257.
APA	Guo, Qinghua.,Su, Yanjun.,Hu, Tianyu.,Guan, Hongcan.,Jin, Shichao.,...&Coops, Nicholas C..(2021).Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective.IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE,9(1),232-257.
MLA	Guo, Qinghua,et al."Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective".IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 9.1(2021):232-257.

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