Studies show that the role of thermal remote sensing in the study and estimation of Earth's surface temperature is very important. Earth's surface temperature is an important indicator in the study of energy balance models at the Earth's surface on a regional and global scale. Given the limitations of meteorological stations, remote sensing can be a suitable alternative for estimating Earth's surface temperature. The main goal of this research is to monitor Earth's surface temperature using satellite images and a relationship that has surface temperature and radiant power. For this purpose, the relevant images were first obtained and the necessary pre-processing was applied to each. Then, the images were modeled. Initially, images from the year 2023 of the Landsat 8 satellite, the OLI sensor and the TIRS sensor, and the Sebal algorithm were used to conduct this research. ENVI software was used for geometric, atmospheric and radiometric corrections of satellite images and also for performing calculations related to the SEBAL model, and ArcGIS software was used for creating a database, spatial analyses, cartographic operations and finally implementing the model. The results show that the average of the highest incoming shortwave radiation was 769 watts per square meter in September and the lowest value was in the next month of August with 730 watts per square meter. And the lowest value was in July with 555 watts per square meter. The reason for this difference in radiation power in the amount of net radiation reaching the ground in the study area is due to the difference in the angle of the sun's rays and the number of sunny hours in different months of the year. It can be concluded that solar radiation from the radiation threshold to 1000 watts per square meter is received, it can be concluded that solar radiation and radiation balance in the villages of Chalus County have the potential to provide electricity in a suitable way