Estimation land surface temperature and extract heat islands using split window algorithm and multivariate regression analysis (Case Study of Zanjan)

Due to the rise in average global surface temperatures from the late 19th century, global warming has paid more attention. Increasing earth's surface temperature, especially in towns and cities is one of the major environmental problems. Many factors are involved in the creation of heat islands such as wind speed, building materials, urban green space, factories and large-scale industry and other human activities, form solar radiation etc. They have a significant impact. In this study, using two images Landsat 8. On 8th Esfand 1393 and Persian date Mordad 12 1394, layers generated from digital elevation models (including slope and aspect) obtained from sensors Aster and land use by municipalities in Zanjan to achieve ends Was used. In the first stage using Landsat imagery 8 split window algorithm calculated the Earth's surface temperature and the temperature of the earth's surface with layers of slope, aspect, NDVI and land use imported software was Saga-GIS. Multivariate linear regression analysis was performed with stepwise Step-wise. Most important factor in the creation of heat islands in the study area are layers and layers of the utmost importance to 0.870643 slope, vegetation, land use and height are the next priority.