Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters

	Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters
	Luo, Shezhou 1; Chen, Jing M.1; Wang, Cheng 1; Xi, Xiaohuan 1; Zeng, Hongcheng 1; Peng, Dailiang 1; Li, Dong 1
刊名	Optics Express
	2016
卷号	24 期号:11 页码:11578-11593
关键词	SUPERCONTINUUM LASER SOURCE HYPERSPECTRAL LIDAR CHLOROPHYLL CONTENT AREA INDEX DESIGN CLASSIFICATION DECOMPOSITION PERFORMANCE CALIBRATION PREDICTION
通讯作者	Wang, Cheng (wangcheng@radi.ac.cn)
英文摘要	Vegetation leaf area index (LAI), height, and aboveground biomass are key biophysical parameters. Corn is an important and globally distributed crop, and reliable estimations of these parameters are essential for corn yield forecasting, health monitoring and ecosystem modeling. Light Detection and Ranging (LiDAR) is considered an effective technology for estimating vegetation biophysical parameters. However, the estimation accuracies of these parameters are affected by multiple factors. In this study, we first estimated corn LAI, height and biomass (R2= 0.80, 0.874 and 0.838, respectively) using the original LiDAR data (7.32 points/m2 ), and the results showed that LiDAR data could accurately estimate these biophysical parameters. Second, comprehensive research was conducted on the effects of LiDAR point density, sampling size and height threshold on the estimation accuracy of LAI, height and biomass. Our findings indicated that LiDAR point density had an important effect on the estimation accuracy for vegetation biophysical parameters, however, high point density did not always produce highly accurate estimates, and reduced point density could deliver reasonable estimation results. Furthermore, the results showed that sampling size and height threshold were additional key factors that affect the estimation accuracy of biophysical parameters. Therefore, the optimal sampling size and the height threshold should be determined to improve the estimation accuracy of biophysical parameters. Our results also implied that a higher LiDAR point density, larger sampling size and height threshold were required to obtain accurate corn LAI estimation when compared with height and biomass estimations. In general, our results provide valuable guidance for LiDAR data acquisition and estimation of vegetation biophysical parameters using LiDAR data. ©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:20162502509714
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39200]
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	1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100094, China 3. Department of Geography and Program in Planning, University of Toronto, Toronto 4.ON 5.M5S 3G3, Canada 6. Faculty of Forestry, University of Toronto3, 33 Willcocks Street, Toronto 7.ON 8.M5S 3B3, Canada
推荐引用方式 GB/T 7714	Luo, Shezhou,Chen, Jing M.,Wang, Cheng,et al. Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters[J]. Optics Express,2016,24(11):11578-11593.
APA	Luo, Shezhou.,Chen, Jing M..,Wang, Cheng.,Xi, Xiaohuan.,Zeng, Hongcheng.,...&Li, Dong.(2016).Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters.Optics Express,24(11),11578-11593.
MLA	Luo, Shezhou,et al."Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters".Optics Express 24.11(2016):11578-11593.