The objective of this paper is to analyze the performance of the algorithms SEBAL and S-SEBI in the estimation of the daily evapotranspiration (ET) using techniques of remote sensing and Landsat 5-TM images. The main difference among the algorithms is that S-SEBI does not have information about the surface to estimate the components of the energy balance. The applications of the SEBAL and S-SEBI algorithms are aresatisfactory for the obtaining of ET. S-SEBI presents results similar to the SEBAL, evidencing to be a promising tool in the obtaining of ET for areas that do not have a station station.