estimation of land surface temperature and vegetation effects on surface temperature by using bands of modis images (case study: toysercan basin)

study of terrain including vegetation, water resources, land types including soil texture and classification are cases that require data with high precision. accurate and high quality data can lead us to a better, more accurate results.in this context, remote sensing data is a great tool for the detection and identification of patterns. sebal (surface energy balance algorithm) is a relatively new algorithm for estimating evapotranspiration in most parts of the world and other heat fluxes and land surface temperatures used and the results have been satisfactory. to estimate the surface temperature in the tuyserkan district using data sebal algorithm, bands of modis images were used. the main objective of this study was to evaluate the accuracy of remote sensing methods to estimate the surface temperature and the best method is introduced. the highest temperature in the region of 315 ° k and the minimum temperature is 287 degrees kelvin. heights with respect to a given temperature are the minimum temperature gradient. areas of vegetation are more moderate temperatures in the region.