Application of remote sensing in extracting ground surface temperature and examining its compliance with land use patterns

Surface temperature, including soil, water, snow, and vegetation, are among the variables used in a wide range of earth science and environmental studies. Ground surface temperature is usually monitored at a point in a limited number of points, which are usually measuring stations. When spatial distribution of surface temperature over a wide area and simultaneously is required, remote sensing technology has many capabilities. Due to the capability of remote sensing techniques in the study of physical properties of the earth, in this study, to evaluate the relationship between surface temperature and land use, using the Landsat8-TIRS image, the surface temperature was calculated using the Split Window method. And the land use pattern was extracted by object-oriented classification method in an area of 22218.33 square kilometers, located in northwestern Iran. The results show that the surface temperature is strongly affected by surface moisture and vegetation density, so that surfaces with low humidity and low density vegetation show the highest temperature on thermal images. In the study area, barren lands with a temperature of 33.9 ° C and water levels such as; The lakes behind the reservoir dam, with a temperature of 27.11 ° C, have the highest and lowest surface temperatures, respectively, among the existing land uses. The results of this research can be used for environmental planning.