Analysis Temperature patterns associated with urban land use using remote sensing data (Case Study: Kermanshah city)

Land use and land cover diversity and difference on one hand and changes in destruction of green space of the urban landscape as a result of increasing population and expanding dense urban areas on the other hand would result in change in energy balance, heat accumulation and temperature patterns in urban areas. Thus, the analysis of user relationships and the influence of land cover on slopes temperature can influence each other and play an important role in urban management. In this study, the thermal patterns in Kermanshah, a city in west of Iran as the main center of population which is faced with a growing population and high rates of immigration was studied. The purpose of this study is to extract heat patterns and land use in urban areas using remote sensing data. Therefore, classification of land cover classification based on the maximum likelihood algorithm is applied and the land surface temperature from TM sensor Landsat satellite images using to date: 31 August 2011 was measured. The results represented five temperature ranges and three residential users, vegetation and barren derived from the city in which barren land use, residential and vegetation temperature range of 30-36 ° C and 16-22 and 25-26 have occupied the largest area data.