Abstract: With the development of urbanization in China, the urban heat island effect has gradually become an obvious problem in urban climate. It can be effectively relieved by urban green space, so in the city planning, we may make a rational layout of the urban green space, to reduce the impact of urban heat island effect. This paper adopts the remote sensing data inversion method, and makes comprehensive application of the geographic information system and remote sensing technology, to obtain the spatio-temporal evolution map of the surface temperatures and vegetation coverage in the central urban area of Baoding city. It analyzes the spatial and temporal evolution law in the past 10 years and studies the correlation between vegetation coverage and surface temperatures under the grid method, to draw the conclusion that as the vegetation coverage increases 10%, the average surface temperature decreases by 0.9℃ to 1.3℃. Furthermore, the authors selected eight parks in the target area, adopted the buffer analysis method to study the relationship between urban green patches and its cooling range. Combined with the current situation of land use in Baoding, it provides a scientific basis for the layout of urban parks in the study area.