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	Characterizing canopy structural complexity for the estimation of maize LAI based on ALS data and UAV stereo images
	Li, Wang; Niu, Zheng; Chen, Hanyue; Li, Dong
	2016
卷号	0期号:0页码:1-11
英文摘要	The canopy structure of crops is a fundamental attribute of agro-ecosystems, providing efficient indications of the growing status, water stress, early detection of plant diseases, and yield estimation. In this study, we investigated the potential of point clouds generated from airborne laser scanning (ALS) and stereo images from an unmanned aerial vehicle (UAV) to characterize the structural complexity of maize canopies. The simultaneous collection of point clouds and field measurements were conducted on three sampling dates. A group of metrics that are often used in forest studies was calculated to quantify the structural complexity of canopies, which was further used to estimate the leaf area index (LAI) of maize. Stepwise linear regression models were established based on the metrics and LAI using the data sampled at single and mixed sampling dates, respectively. Results showed that significantly high correlations were found between the LAI values of maize and complexity metrics with a Pearson correlation coefficient (r) greater than 0.60. The leave one-out cross-validation (LOOCV) of LAI estimation showed that the highest robustness (RMSE = 0.16, rRMSE = 5.63%) was obtained by the model that was established from the overall data set, which explained 75% of the variation in the field-measured LAI. To conclude, the metrics of canopy structural complexity can be powerful predictors in the estimation of maize LAI based on our data set, which provides some new ideas for the study of precision agriculture using remote sensing. © 2016 Informa UK Limited, trading as Taylor & Francis Group
收录类别	EI
语种	英语
WOS记录号	WOS:20164002875597
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39683]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
推荐引用方式 GB/T 7714	Li, Wang,Niu, Zheng,Chen, Hanyue,et al. Characterizing canopy structural complexity for the estimation of maize LAI based on ALS data and UAV stereo images[J],2016,0(0):1-11.
APA	Li, Wang,Niu, Zheng,Chen, Hanyue,&Li, Dong.(2016).Characterizing canopy structural complexity for the estimation of maize LAI based on ALS data and UAV stereo images.,0(0),1-11.
MLA	Li, Wang,et al."Characterizing canopy structural complexity for the estimation of maize LAI based on ALS data and UAV stereo images".0.0(2016):1-11.

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