Trend Analysis of Land surface temperature in Iran Using Remote Sensing Data

Land Surface temperature is an appropriate manifestation of energy balance in the surface and greenhouse effect; because key parameterization in the physics of land surface processes is on a regional and especially global scale. It has been almost two decades since the MODIS sensor measured the surface temperature. Analysis of Land surface temperature (LST) Variation can help us understand the behavior of this key metering meter. The purpose of this study is to investigate the trend of land surface albedo in Iran. For this purpose; The Land surface temperature data of the Modis Terra sensor (MOD11A1) was used daily for the period 1379-1389 at a spatial resolution of 1. 1 km. After extracting the data in Iran, the Land surface temperature trend of Iran in 1884077 cells was examined using the Mann-Kendall test. The results of this study showed that in all seasons, increasing and decreasing trends in Land surface temperature are observed; however, the largest range of increasing trends of Land surface temperature in winter can be seen in January, February, and March. The results showed that in winter, the most significant increasing trends are seen in the heights, which can be related to the reduction of snow cover and reduced albedo in these areas. Using the digital elevation model of Iran, the Land surface temperature trend was calculated at altitudes of 100 meters, which showed that in January month, all height levels have an increasing trend in surface temperature, which is significant at the level of 0.05(the 95th confidence level).