Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021494 |
Canopy Spectral Reflectance as a Predictor of Soil Water Potential in Rice | |
Panigrahi, N.; Das, B. S. | |
2018-04-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:4页码:2544-2560 |
文章类型 | Article |
语种 | 英语 |
国家 | India |
英文摘要 | Soil water potential (SWP) is a key parameter for characterizing water stress. Typically, a tensiometer is used to measure SWP. However, the measurement range for commercially available tensiometers is limited to -90 kPa and a tensiometer can only provide estimate of SWP at a single location. In this study, a new approach was developed for estimating SWP from spectral reflectance data of a standing rice crop over the visible to shortwave-infrared region (wavelength: 350-2,500 nm). Five water stress treatments corresponding to targeted SWP of -30, -50, -70, -120, and -140 kPa were examined by withholding irrigation during the vegetative growth stage of three rice varieties. Tensiometers and mechanistic water flow model were used for monitoring SWP. Spectral models for SWP were developed using partial-least-squares regression (PLSR), support vector regression (SVR), and coupled PLSR and feature selection (PLSRFS) approaches. Results showed that the SVR approach was the best model for estimating SWP from spectral reflectance data with the coefficient of determination values of 0.71 and 0.55 for the calibration and validation data sets, respectively. Observed root-mean-squared residuals for the predicted SWPs were in the range of -7 to -19 kPa. A new spectral water stress index was also developed using the reflectance values at 745 and 2,002 nm, which showed strong correlation with relative water contents and electrolyte leakage. This new approach is rapid and noninvasive and may be used for estimating SWP over large areas. |
英文关键词 | canopy spectral reflectance soil water potential spectral vegetation index |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000434186400003 |
WOS关键词 | HYPERSPECTRAL VEGETATION INDEXES ; DRY SPELL CHARACTERISTICS ; LEAF-AREA INDEX ; LOWLAND RICE ; PHOTOSYNTHETIC EFFICIENCY ; INFRARED REFLECTANCE ; DROUGHT-TOLERANT ; STRESS DETECTION ; CROP RESIDUE ; FIELD |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21983 |
专题 | 资源环境科学 |
作者单位 | Indian Inst Technol Kharagpur, Agr & Food Engn Dept, Kharagpur, W Bengal, India |
推荐引用方式 GB/T 7714 | Panigrahi, N.,Das, B. S.. Canopy Spectral Reflectance as a Predictor of Soil Water Potential in Rice[J]. WATER RESOURCES RESEARCH,2018,54(4):2544-2560. |
APA | Panigrahi, N.,&Das, B. S..(2018).Canopy Spectral Reflectance as a Predictor of Soil Water Potential in Rice.WATER RESOURCES RESEARCH,54(4),2544-2560. |
MLA | Panigrahi, N.,et al."Canopy Spectral Reflectance as a Predictor of Soil Water Potential in Rice".WATER RESOURCES RESEARCH 54.4(2018):2544-2560. |
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