ANALYZING LAND USE TYPES’ EFFECTS ON LST USING THE GWR MODEL AND CASE STUDIES IN BEIJING

The development of urbanization and the transformation green lands into impermeable land increase temperature create urban heat islands (UHIs). Our observations with remote sensing instruments Landsat platforms show considerable changes in use types Beijing city shrinking lands, expansion built environments, a slight during recent four decades. Using registered data from two meteorological stations Beijing, this study finds relationship between surface (LST) increasing conversion cultivated built-up areas. This article presents innovative research that shows mutual correlation well recommends revisions policies for better weather. geographically weighted regression model (GWR) Gaussian weighting kernel function analyzes impact various on LST UHIs. In city, fewer standard deviations (SD) average temperatures equal to 0.109, while industrial spaces exhibit high SD 0.212. outcomes paper contribute finding optimal everywhere world through simulating its more comfortable life.