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Estimation of Rice Evapotranspiration Using Reflective Images of Landsat Satellite in Sefidrood Irrigation and Drainage Network

作者：

Maryam Taherparvar;Nader Pirmoradia

单位：

Water Engineering Department, Faculty of Agricultural Sciences, University of Guilan, Rasht 41889-58643, Iran;Water Engineering Department, Faculty of Agricultural Sciences, University of Guilan, Rasht 41889-58643, Ira

关键词：

vegetation index;lysimeter;satellite data;evapotranspiration;crop coefficient;Landsat imag

摘要：

More accurate estimation of crop evapotranspiration (ETc) in a regional scale has always been one of the most important challenges. Temporal and spatial monitoring of ETc using satellite images can help to enhance accuracy of estimations. In this study, the (ETc)(rice) maps were produced by using statistical/experimental methods based on crop coefficient (K-c) maps derived from vegetation index (VI). K-c was estimated using four methods, including linear relationship between K-c and VI (K-c-VI), calibrated model of K-c-VI, linear relationship between K-cb (the basal crop coefficient) and VI (K-cb-VI), and calibrated model of K-cb-VI. The results showed that calibrated model of K-c-VI had a better performance compared to the other methods, with normalized root mean square errors (NRMSE), mean absolute error and root mean square error being 5.7%, 0.05 mm/d and 0.06 mm/d, respectively. (ETc)(rice) maps were produced by using calibrated model of K-c-VI and reference evapotranspiration (ET0) from FAO Penman-Monteith method. The NRMSE was 21.3% for using FAO Penman-Monteith method. Therefore, calibrated K-c-VI model in combining with ET0 based on the Landsat 7 ETM+ images could be provided a good estimation of (ETc)(rice) in regional scale, and can be applied to estimate water requirement due to the free and facilitate access.

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Estimation of Rice Evapotranspiration Using Reflective Images of Landsat Satellite in Sefidrood Irrigation and Drainage Network

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