The effect of different area uses and topography on surface temperature and climate parameters.

Abstract

Global warming and the ecological burden it causes affect people and the environment negatively and make adaptation difficult. For people to adapt to the environment and vice versa, they need to do extensive research and planning. Planning, on the other hand, is taking an easy form with the technology that has recently developed. GIS infrastructures and supporting satellite images along with software help with provincial-scale planning. This study has been handled on a scale covering the provincial borders of Nevsehir. The thermal data of the 10-year-old Landsat 7 satellite was analyzed and mapped in the Arc-GIS 10.2 package program. In the same way, maps of wind, air temperature, topography, and land use were created and the relationship between them was revealed by "Spearman's correlation" method. According to the results obtained, the average surface temperature in the study area was determined as 34.4°C. When evaluated in terms of land use, natural grasslands have the highest surface temperature of 40.6°C, while city structures have the highest average surface temperature of 33.3°C. At the same time, the lowest surface temperature measured in the study area, 13.8°C, is also found in natural grassland areas. A significant positive correlation was measured between the wind speed and the land use pattern, while a significant negative correlation emerged between the wind speed and the air temperature. In addition, there is another significant negative correlation between height and land surface temperature (LST). Furthermore, a high degree of positive significance was determined between altitude and wind speed. Finally, between air temperature and LST, a positive significance was observed.