Estimation of LAI with the LiDAR Technology: A Review

doi:10.3390/rs12203457

	Estimation of LAI with the LiDAR Technology: A Review
	Wang, Yao 1,2; Fang, Hongliang 1,2
刊名	REMOTE SENSING
	2020-10-01
卷号	12 期号:20 页码:28
关键词	leaf area index (LAI) vertical foliage profile (VFP) terrestrial laser scanning (TLS) airborne laser scanning (ALS) spaceborne laser scanning (SLS)
DOI	10.3390/rs12203457
通讯作者	Wang, Yao(wangy.18b@igsnrr.ac.cn)
英文摘要	Leaf area index (LAI) is an important vegetation parameter. Active light detection and ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study, LiDAR technology, LAI retrieval and validation methods, and impact factors are reviewed. First, the paper introduces types of LiDAR systems and LiDAR data preprocessing methods. After introducing the application of different LiDAR systems, LAI retrieval methods are described. Subsequently, the review discusses various LiDAR LAI validation schemes and limitations in LiDAR LAI validation. Finally, factors affecting LAI estimation are analyzed. The review presents that LAI is mainly estimated from LiDAR data by means of the correlation with the gap fraction and contact frequency, and also from the regression of forest biophysical parameters derived from LiDAR. Terrestrial laser scanning (TLS) can be used to effectively estimate the LAI and vertical foliage profile (VFP) within plots, but this method is affected by clumping, occlusion, voxel size, and woody material. Airborne laser scanning (ALS) covers relatively large areas in a spatially contiguous manner. However, the capability of describing the within-canopy structure is limited, and the accuracy of LAI estimation with ALS is affected by the height threshold and sampling size, and types of return. Spaceborne laser scanning (SLS) provides the global LAI and VFP, and the accuracy of estimation is affected by the footprint size and topography. The use of LiDAR instruments for the retrieval of the LAI and VFP has increased; however, current LiDAR LAI validation studies are mostly performed at local scales. Future research should explore new methods to invert LAI and VFP from LiDAR and enhance the quantitative analysis and large-scale validation of the parameters.
资助项目	National Key Research and Development Program of China[2016YFA0600201]
WOS关键词	LEAF-AREA INDEX ; WAVE-FORM LIDAR ; CANOPY GAP FRACTION ; LASER-SCANNING DATA ; VERTICAL FOLIAGE PROFILE ; AIRBORNE LIDAR ; TERRESTRIAL LIDAR ; NATIONAL FOREST ; BIOPHYSICAL PROPERTIES ; VEGETATION STRUCTURE
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000583014600001
资助机构	National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156781]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Yao
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yao,Fang, Hongliang. Estimation of LAI with the LiDAR Technology: A Review[J]. REMOTE SENSING,2020,12(20):28.
APA	Wang, Yao,&Fang, Hongliang.(2020).Estimation of LAI with the LiDAR Technology: A Review.REMOTE SENSING,12(20),28.
MLA	Wang, Yao,et al."Estimation of LAI with the LiDAR Technology: A Review".REMOTE SENSING 12.20(2020):28.