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Prediction model of rice (Oryza sativa) yield under high temperature stress based on hyper-spectral remote sensing

文献类型: 外文期刊

作者: Xie, X. J. 1 ; Shen, Sh H. 2 ; Li, Y. X. 2 ; Li, B. B. 2 ;

作者机构: 1.Nanjing Univ Informat Sci & Technol, Coll Appl Meteorol, Nanjing, Jiangsu Prov, Peoples R China

2.Jiangsu Acad Agr Sci, Inst Resources & Environm, Nanjing 210014, Peoples R China

关键词: spectral reflectance;ripening stage;high temperature stress;perpendicular vegetation index

期刊名称:INDIAN JOURNAL OF AGRICULTURAL SCIENCES ( 影响因子:0.371; 五年影响因子:0.427 )

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年卷期:

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收录情况: SCI

摘要: Canopy spectral reflectance on flowering, filling and ripening stages of two rice (Oryza sativa L.) cultivars during heading stage under different high temperature stress as well as yield and yield components after maturation were measured in 2007 and 2008. The results showed that relativities among theoretical yield, actual yield, yield components and hyperspectral indices during flowering and filling stages were at the level of P<0.05 by contrast with ripening stage, which thus indicated these two stages could be used as key stages for forecasting rice yield. Further, difference vegetation index called as DVI[810, A(450, 560, 680)1, perpendicular vegetation index called as PVI(810, 680), slope of red edge called as De(red) and Area 670-755 could be used for forecasting theoretical and actual yield of matured rice. Moreover, DVI(810, 450) and DVI(810, 560), PVI(810, 680) and De(red) could also be used for forecasting yield components of matured rice. The hyper-spectral indices with preferred fitting correlation were selected by regression analysis, and accordingly models for forecasting rice yield during different growth stages were established in the light of spectral index PVI (810,680). Finally, after testing these derived models with independently observed data, it was found that the model of flowering stage was more reliable to predict rice yield than those of filling and ripening stages.

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