Remote sensing is an important technological trend that can assist the estimation of evapotranspiration at each point of the globe. In this context, the Simplified Surface Energy Balance Index (S-SEBI) algorithm was used in this study with four Landsat-5 Thematic Mapper (TM) images, i.e., one image by season to assess the daily evapotranspiration in Bissa forest, one of the healthiest Algerian forests located south of the Mediterranean Sea. Results showed that evapotranspiration varies over the different seasons, the highest ET values were reached during spring (April) due to water availability, with a daily mean value of 7.86 mm/day, the lowest ET values were shown during the dry season i.e., summer (July) with a daily mean ET of 3 mm/day, autumn and winter (October and January) showed an intermediates mean values of 3.5 and 3.8 mm/day respectively. The relationship between normalized difference vegetation index (NDVI) and ET (mm/day) showed that the highest ET values coincide always with the highest NDVI values except for January where even the lowest NDVI values correspond to higher ET.
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