An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications

doi:10.1029/2018RG000608

	An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications
	Fang, Hongliang 2; Baret, Frederic 3; Plummer, Stephen 4; Schaepman-Strub, Gabriela 1
刊名	REVIEWS OF GEOPHYSICS
	2019-09-01
卷号	57 期号:3 页码:739-799
关键词	leaf area index (LAI) field measurement remote sensing estimation validation schemes LAI uncertainties LAI applications
ISSN号	8755-1209
DOI	10.1029/2018RG000608
通讯作者	Fang, Hongliang(fanghl@lreis.ac.cn)
英文摘要	Leaf area index (LAI) is a critical vegetation structural variable and is essential in the feedback of vegetation to the climate system. The advancement of the global Earth Observation has enabled the development of global LAI products and boosted global Earth system modeling studies. This overview provides a comprehensive analysis of LAI field measurements and remote sensing estimation methods, the product validation methods and product uncertainties, and the application of LAI in global studies. First, the paper clarifies some definitions related to LAI and introduces methods to determine LAI from field measurements and remote sensing observations. After introducing some major global LAI products, progresses made in temporal compositing and prospects for future LAI estimation are analyzed. Subsequently, the overview discusses various LAI product validation schemes, uncertainties in global moderate resolution LAI products, and high resolution reference data. Finally, applications of LAI in global vegetation change, land surface modeling, and agricultural studies are presented. It is recommended that (1) continued efforts are taken to advance LAI estimation algorithms and provide high temporal and spatial resolution products from current and forthcoming missions; (2) further validation studies be conducted to address the inadequacy of current validation studies, especially for underrepresented regions and seasons; and (3) new research frontiers, such as machine learning algorithms, light detection and ranging technology, and unmanned aerial vehicles be pursued to broaden the production and application of LAI.
资助项目	Hundred Talent Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China[41471295] ; National Natural Science Foundation of China[41171333] ; National Key Research and Development Program of China[2016YFA0600201]
WOS关键词	RADIATIVE-TRANSFER MODEL ; WAVE-FORM LIDAR ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; DIGITAL HEMISPHERICAL PHOTOGRAPHY ; HYPERSPECTRAL VEGETATION INDEXES ; WINTER-WHEAT YIELD ; ESSENTIAL CLIMATE VARIABLES ; LAND-SURFACE MODELS ; REMOTE-SENSING DATA ; TIME-SERIES DATA
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000492796700003
资助机构	Hundred Talent Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/131895]
专题	中国科学院地理科学与资源研究所
通讯作者	Fang, Hongliang
作者单位	1.Univ Zurich, Dept Evolutionary Biol & Environm Studies, Zurich, Switzerland 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing, Peoples R China 3.Ctr PACA, INRA, EMMAH, UMR1114, Batiment Climat,CS 40509, Avignon, France 4.European Space Agcy, Climate Off, Sci Applicat & Climate Dept, Didcot, Oxon, England
推荐引用方式 GB/T 7714	Fang, Hongliang,Baret, Frederic,Plummer, Stephen,et al. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications[J]. REVIEWS OF GEOPHYSICS,2019,57(3):739-799.
APA	Fang, Hongliang,Baret, Frederic,Plummer, Stephen,&Schaepman-Strub, Gabriela.(2019).An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications.REVIEWS OF GEOPHYSICS,57(3),739-799.
MLA	Fang, Hongliang,et al."An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications".REVIEWS OF GEOPHYSICS 57.3(2019):739-799.