IB-CAS  > 植被与环境变化国家重点实验室
Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize
Zhang, F.; Zhou, G.
2019
发表期刊BMC ECOLOGY
卷号19
摘要BackgroundVegetation water content is one of the important biophysical features of vegetation health, and its remote estimation can be utilized to real-timely monitor vegetation water stress. Here, we compared the responses of canopy water content (CWC), leaf equivalent water thickness (EWT), and live fuel moisture content (LFMC) to different water treatments and their estimations using spectral vegetation indices (VIs) based on water stress experiments for summer maize during three consecutive growing seasons 2013-2015 in North Plain China.ResultsResults showed that CWC was sensitive to different water treatments and exhibited an obvious single-peak seasonal variation. EWT and LFMC were less sensitive to water variation and EWT stayed relatively stable while LFMC showed a decreasing trend. Among ten hyperspectral VIs, green chlorophyll index (CIgreen), red edge normalized ratio (NRred edge), and red-edge chlorophyll index (CIred edge) were the most sensitive VIs responding to water variation, and they were optimal VIs in the prediction of CWC and EWT.ConclusionsCompared to EWT and LFMC, CWC obtained the best predictive power of crop water status using VIs. This study demonstrated that CWC was an optimal indicator to monitor maize water stress using optical hyperspectral remote sensing techniques.
关键词Canopy water content Hyperspectral remote sensing Leaf equivalent water thickness Live fuel moisture content Summer maize
学科领域Ecology
DOI10.1186/s12898-019-0233-0
收录类别SCI
语种英语
WOS关键词FUEL MOISTURE-CONTENT ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; SPECTRAL REFLECTANCE ; REMOTE ESTIMATION ; LEAF REFLECTANCE ; LIQUID WATER ; CANOPY ; COTTON ; FRACTION ; DROUGHT
WOS研究方向Environmental Sciences & Ecology
WOS记录号WOS:000466879000001
出版者BMC
文献子类Article
出版地LONDON
EISSN1472-6785
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31661143028, 41330531] ; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2017M620983]
作者邮箱zhougs@cma.gov.cn
作品OA属性Green Published, gold
引用统计
被引频次:92[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/2S10CLM1/19859
专题植被与环境变化国家重点实验室
作者单位1.[Zhang, F.
2.Zhou, G.] Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
3.Zhou, G.] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
推荐引用方式
GB/T 7714
Zhang, F.,Zhou, G.. Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize[J]. BMC ECOLOGY,2019,19.
APA Zhang, F.,&Zhou, G..(2019).Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize.BMC ECOLOGY,19.
MLA Zhang, F.,et al."Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize".BMC ECOLOGY 19(2019).
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