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

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	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
刊名	REMOTE SENSING
	2015
卷号	7 期号:11 页码:15203-15223
关键词	canopy water content drought stress gradients hyperspectral remote sensing maize canopy spectral vegetation indices
DOI	10.3390/rs71115203
文献子类	Article
英文摘要	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]).
学科主题	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号	2072-4292
出版地	BASEL
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)
语种	英语
出版者	MDPI
WOS记录号	WOS:000366185200041
资助机构	National Natural Science Foundation of China [41330531]
内容类型	期刊论文
源URL	[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.