فهرست نشریات علمی دسترسی آزاد ایران

Estimating reference evapotranspiration (ET 0 ) is a fundamental requirement of agricultural water management. However, the lack of necessary meteorological data makes it difficult to estimate ET 0 using the FAO-Penman-Monteith equation wider areas. Therefore, this research examines the estimation of daily reference evapotranspiration using MODIS Land Surface Temperature (LST) from satellite imagery in two climates of Tabriz and Rasht. ET 0 has been estimated using two random forests (RF) and random forests optimized with genetic (GA-RF) algorithms. The parameters used in both stations include the combination of daily land surface temperature (LST day ), nightly land surface temperature (LST night ) and average land surface temperature at night, and day (LST mean ). The obtained results indicated that LST mean has an excellent ability to estimate ET 0 in both stations. In Tabriz station with a semi-arid climate, GA-RF-7 model with RMSE=0.516 and in Rasht station with a very humid climate, the GA-RF-5 model with RMSE=0.868, have the best performance among the studied models. Moreover, the evaluations revealed that the temperature of the earth's surface at night is as important as the temperature of the earth's surface during the day, and by combining these two parameters, satisfactory results may be obtained.