Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China

doi:10.3390/rs71115203

	Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China
	Zhang, Feng ; Zhou, Guangsheng 1
	2015
发表期刊	REMOTE SENSING
卷号	7 期号:11 页码:15203-15223
摘要	Here, we conducted drought stress gradient experiments of maize, and used ten water content related vegetation indices (VIs) to estimate widely variable canopy water content (CWC) and mean leaf equivalent water thickness at canopy level (EWT) based on in situ measurements of Lambertian equivalent reflectance and important biological and environmental factors during the 2013-2014 growing seasons in the North China Plain. Among ten VIs, the performances of green chlorophyll index (CI greeir1, red edge chlorophyll, index (CI.d) and the red edge normalized ratio (NR red \--red edge) were most sensitive to the variations of CWC and EWT. Simulated drought in two differently managed irrigation years did not affect the sensitivities of VIs to the variations in CWC and EWT. However, the relationships between CWC and VIs were more noticeable in 2014 than in 2013. In contrast, EWT and VIs were more closely related in 2013 than in 2014. CWC and relative soil water content (RSWC) obviously exhibited a two-dimensional trapezoid space, which illustrated that CWC was determined not only by soil water status but also by crop growth and stage of development. This study demonstrated that nearly half of the variation in CWC explained by spectral information was derived from the variation in leaf area index (LA]).
关键词	canopy water content drought stress gradients hyperspectral remote sensing maize canopy spectral vegetation indices
学科领域	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.3390/rs71115203
收录类别	SCI
语种	英语
WOS关键词	PHOTOSYNTHETICALLY ACTIVE RADIATION ; GROSS PRIMARY PRODUCTION ; LEAF-AREA INDEX ; REMOTE ESTIMATION ; VEGETATION INDEXES ; SPECTRAL REFLECTANCE ; CHLOROPHYLL CONTENT ; DESERT STEPPE ; CROPS ; AGRICULTURE
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000366185200041
出版者	MDPI
文献子类	Article
出版地	BASEL
EISSN	2072-4292
资助机构	National Natural Science Foundation of China [41330531]
作者邮箱	zhangfeng@ibcas.ac.cn ; gszhou@cams.cma.gov.cn
作品OA属性	gold, Green Submitted, Green Published
引用统计	被引频次：46[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/25630
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Feng,Zhou, Guangsheng. Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China[J]. REMOTE SENSING,2015,7(11):15203-15223.
APA	Zhang, Feng,&Zhou, Guangsheng.(2015).Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China.REMOTE SENSING,7(11),15203-15223.
MLA	Zhang, Feng,et al."Estimation of Canopy Water Content by Means of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China".REMOTE SENSING 7.11(2015):15203-15223.

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