Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data

doi:10.1016/j.asr.2017.07.015

	Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data
	Kong, Weiping 1,2; Huang, Wenjiang 1; Liu, Jiangui 3; Chen, Pengfei 4; Qin, Qiming 5; Ye, Huichun 1; Peng, Dailiang 1; Dong, Yingying 1; Mortimer, A. Hugh 6
刊名	ADVANCES IN SPACE RESEARCH
	2017-11-01
卷号	60 期号:9 页码:1988-2000
关键词	Multi-angle Hyperspectral data Vegetation index Spectral feature Canopy carotenoid content Agriculture
ISSN号	0273-1177
DOI	10.1016/j.asr.2017.07.015
通讯作者	Huang, Wenjiang(huangwj@radi.ac.cn)
英文摘要	Precise estimation of carotenoid (Car) content in crops, using remote sensing data, could be helpful for agricultural resources management. Conventional methods for Car content estimation were mostly based on reflectance data acquired from nadir direction. However, reflectance acquired at this direction is highly influenced by canopy structure and soil background reflectance. Off-nadir observation is less impacted, and multi-angle viewing data are proven to contain additional information rarely exploited for crop Car content estimation. The objective of this study was to explore the potential of multi-angle observation data for winter wheat canopy Car content estimation. Canopy spectral reflectance was measured from nadir as well as from a series of off-nadir directions during different growing stages of winter wheat, with concurrent canopy Car content measurements. Correlation analyses were performed between Car content and the original and continuum removed spectral reflectance. Spectral features and previously published indices were derived from data obtained at different viewing angles and were tested for Car content estimation. Results showed that spectral features and indices obtained from backscattering directions between 20 degrees and 40 degrees view zenith angle had a stronger correlation with Car content than that from the nadir direction, and the strongest correlation was observed from about 30 degrees backscattering direction. Spectral absorption depth at 500 nm derived from spectral data obtained from 30 degrees backscattering direction was found to reduce the difference induced by plant cultivars greatly. It was the most suitable for winter wheat canopy Car estimation, with a coefficient of determination 0.79 and a root mean square error of 19.03 mg/m(2). This work indicates the importance of taking viewing geometry effect into account when using spectral features/indices and provides new insight in the application of multi-angle remote sensing for the estimation of crop physiology. (C) 2017 COSPAR. Published by Elsevier Ltd. All rights reserved.
资助项目	National Key R&D Program of China[2016YFB0501501] ; National Natural Science Foundation of China[41571354] ; National Natural Science Foundation of China[41501468] ; National Natural Science Foundation of China[41301389] ; Guangdong Province and Chinese Academic of Sciences[2013B091500075] ; Youth Innovation Promotion Association CAS
WOS关键词	REMOTE-SENSING DATA ; LEAF-AREA INDEX ; VEGETATION INDEXES ; CHLOROPHYLL CONTENT ; REFLECTANCE SPECTROSCOPY ; PRECISION AGRICULTURE ; CHRIS/PROBA DATA ; PLANT-LEAVES ; GREEN LAI ; VALIDATION
WOS研究方向	Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000413378600007
资助机构	National Key R&D Program of China ; National Natural Science Foundation of China ; Guangdong Province and Chinese Academic of Sciences ; Youth Innovation Promotion Association CAS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/62505]
专题	中国科学院地理科学与资源研究所
通讯作者	Huang, Wenjiang
作者单位	1.Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Agri Food Canada, Agr, Ottawa Res & Dev Ctr, Ottawa, ON K1A 0C6, Canada 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China 6.Rutherford Appleton Lab, Harwell Sci & Innovat Campus, Didcot OX11 0QX, Oxon, England
推荐引用方式 GB/T 7714	Kong, Weiping,Huang, Wenjiang,Liu, Jiangui,et al. Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data[J]. ADVANCES IN SPACE RESEARCH,2017,60(9):1988-2000.
APA	Kong, Weiping.,Huang, Wenjiang.,Liu, Jiangui.,Chen, Pengfei.,Qin, Qiming.,...&Mortimer, A. Hugh.(2017).Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data.ADVANCES IN SPACE RESEARCH,60(9),1988-2000.
MLA	Kong, Weiping,et al."Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data".ADVANCES IN SPACE RESEARCH 60.9(2017):1988-2000.