%0 Journal Article %T Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain %J Iranian journal of Ecohydrology %I Faculty of New Sciences and Technologies, University of Tehran %Z 2423-6098 %A Bahmanabadi, Bahare %A Kaviani, Abbas %A Daneshkar Araste, Peyman %A Nazari, Rasta %D 2018 %\ 12/22/2018 %V 5 %N 4 %P 1103-1117 %! Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain %K Evapotranspiration %K Satellite Imageries %K Single source and Two source Algorithms %R 10.22059/ije.2018.254793.855 %X The estimation of evapotranspiration is one of the most important parameters in irrigation planning. In this research, drainage lysimeter data and three single-source energy balance, SEBAL, METRIC and SSEB and a two source energy balance algorithm, TSEB have been evaluated. Satellite imageries of MODIS, ETM + sensors were used in the years 1379-1382 according to the lysimeter data loading and OLI & TIRS sensor images in 1392-1395. It should be noted that, the mismatching of the OLI & TIRS images timing with the lysimeter data timing, cause to try to evaluate the results of OLI images with Hargreaves Sarmari equation as a superior experimental method. According to the statistical indices, the results obtained from single-source algorithms showed that the SSEB algorithm with the lowest root mean square error in MODIS, ETM + and OLI & TIRS (RMSE = 0.87, 0.41 and 0.92 mm per day), and a large correlation It was introduced with lysimeter data as the best method in this area (R = 0.97, 0.99, 0.96). Among the sensors examined, ETM +, OLI & TIRS sensitivity is high on the two sensors, but the ETM + sensor also has better results. %U https://ije.ut.ac.ir/article_68435_ff19f17ef509ef4ef5c4cff7675f6fd9.pdf