Abstarct: Estimation of plant water consumption or evapotranspiration is necessary for management and planning of water and agricultural resources, design of irrigation systems, hydrological balance as well as approximate estimation of crop yield. There are various methods for determining evapotranspiration on a small scale using field measurements such as lysimeters, etc., which have high accuracy, but due to the high cost and difficulty of work in areas, they are not widely used. For this reason, methods baxsed on remote sensing and the use of satellite imagery have received more attention from researchers. Therefore, due to the importance of the subject, in this study the evapotranspiration in Torbat-e Heydarieh region was estimated using satellite images and Sebal algorithm. In this study, Landsat 8 satellite images were examined for ten days from the warm months of 2013 to 2016, and to compare the results obtained from the method baxsed on remote sensing (Sebal), from the data measured at the Synoptic Meteorological Station of Torbat Heydariyeh. In order to estimate evapotranspiration using the FAO-Penman-Monteith method, taking into account the plant coefficients (KC), according to the type and stage of plant growth. Using statistical indicators such as relative error and coefficient of determination, the ability and performance of remote sensing and Sebal algorithm were investigated. The results show that the remote sensing method has been able to estimate the amount of evapotranspiration on a daily scale with a relative error of 5.1% and an explanation coefficient of 0.88.