Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize
文献类型：期刊论文
| 作者 | Zhang, F.; Zhou, G. |
| 刊名 | BMC ECOLOGY
 |
| 出版日期 | 2019 |
| 卷号 | 19 |
| 关键词 | Canopy water content Hyperspectral remote sensing Leaf equivalent water thickness Live fuel moisture content Summer maize |
| DOI | 10.1186/s12898-019-0233-0 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Ecology |
| 出版地 | LONDON |
| 电子版国际标准刊号 | 1472-6785 |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000466879000001 |
| 出版者 | BMC |
| 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] |
| 源URL | [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). |
入库方式： OAI收割
来源：植物研究所
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