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        1 - Providing LST map and the estimation of soil temperature by using surface temperature (Case study: the city of Tabriz)
        لیلا خدائی قشلاق سید اسدالله حجازی سعید صاحب خیر
        In recent years, remote sensing technology has been used in almost all areas, and has been considered as a method of creating and updating data in many countries around the world. However, studies to extract surface temperature, especially in Iran, have been limited by More
        In recent years, remote sensing technology has been used in almost all areas, and has been considered as a method of creating and updating data in many countries around the world. However, studies to extract surface temperature, especially in Iran, have been limited by infrared band and satellite imagery, and so far the first steps have been taken in this regard. Also, soil temperature is an important parameter in hydrological studies, agriculture meteorology and climatology, which is necessary to measure and predict. This parameter is measured only at synoptic stations, so the lack of it in areas without a station is an important challenge in many agricultural sciences. In this study, Sibal algorithm was used to achieve ground temperature, using Landsat 8 thermal imagery and Emissivity Refrence Chanel method to calculate ground surface temperature. Using surface temperature, soil depth was estimated at six depths of 5, 10, 20, 30, 50, 100 and 120 cm using satellite imagery and remote measurement techniques. The study area is Tabriz city. The results showed that the soil temperature at 5 cm depth in the morning was less than the night temperature, and the daily temperature change at a depth of about 40 cm is insignificant Manuscript profile