Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents

	Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents
	Li, Wang; Niu, Zheng; Sun, Gang; Gao, Shuai; Wu, Mingquan
刊名	Optics Express
	2016
卷号	24 期号:5 页码:4771-4785
关键词	LEAF-AREA INDEX CROP SURFACE MODELS FORM LIDAR DATA VEGETATION INDEXES POINT CLOUDS FOREST INVENTORY AIRBORNE LIDAR USE EFFICIENCY UAV CORN
英文摘要	Hyperspectral light detection and ranging (HSL) is a newly developed active remote sensing technique. In this study, we firstly presented an improved hyperspectral full-waveform LiDAR system with 32 detection channels. Then, the quality of the data collected from two types of leaves by this system was evaluated using signal to noise ratio. Two different reflective factors that can describe the backscatter capability of detected targets were developed based on the HSL data. Hundreds of vegetation indices (VIs) were calculated through a full search for the possible combination of the reflective factors at near-infrared and visible wavelengths. Finally, the high-dimensional VIs (n = 998) were used to estimate three leaf biochemical contents using principle component regression (PCR) models with cross validation. Results showed that high correlations were found between leaf biochemical contents and the HSLderived VIs at shorter visible wavelengths. The prediction of biochemical contents obtained satisfactory results with a root mean squared error of 0.45% for nitrogen content (R2= 0.71), 1.41 mgg-1for chlorophylla/b content (R2= 0.83), and 0.38 mgg-1for carotenoid content (R2= 0.77), respectively. To conclude, the improved HSL system showed great potential for the remote estimation of vegetation biochemical contents, which will significantly extend the scope of quantitative remote sensing with vegetation. © 2016 Optical Society of America.
学科主题	Optics
类目[WOS]	Optics
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20161502208204
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39199]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Li, Wang,Niu, Zheng,Sun, Gang,et al. Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents[J]. Optics Express,2016,24(5):4771-4785.
APA	Li, Wang,Niu, Zheng,Sun, Gang,Gao, Shuai,&Wu, Mingquan.(2016).Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents.Optics Express,24(5),4771-4785.
MLA	Li, Wang,et al."Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents".Optics Express 24.5(2016):4771-4785.