Explaining the Relationship between Thermal Islands and a Number of Morphological Factors of the City Using Remote Sensing and GIS (Case Study: Ahvaz)

In this research, land use map was prepared by maximum likelihood method in 8 areas of Ahvaz city and altitude and slope maps were prepared. To evaluate the classification accuracy of the land use map, the error of the classified image was compared with a reference image containing a number of ground control points. The map of urban thermal islands was prepared using a separate window algorithm on the Landsat 8 satellite data set in the ENVI software environment. The results showed that the prepared land use map has an kappa coefficient of 86% and good accuracy and credit. The relationship between land use and thermal islands, the results indicate that the eight cities of Ahvaz with an average temperature of 43.3 and the fourth region with an average temperature of 32.6 had the highest and lowest temperatures, respectively. By comparing the percentage of land use classes in the eight and four districts of Ahvaz, it can be said that industrial land use will increase the average temperature of urban areas and space land use will reduce the average temperature of urban areas. Areas with a slope of zero to 1.5 percent have an average temperature of 34 degrees and areas with a slope of 10 to 37 percent have an average temperature of 41 degrees Celsius. In urban areas with altitudes below sea level and urban areas with an altitude of 64 to 80 meters above sea level, the average temperature is 34 and 41 degrees Celsius, respectively.