Abstract：We obtained land surface temperature and landscape components from Landsat and GF-2 within the inner Fifth Ring area in Beijing. The polygon grid approach has been applied for analyzing the relationship between urban landscape components and pattern characteristics and thermal environment characteristics. These various size polygon grids division was from 100m×100m to 1000m×1000m. With the increase of grid size, the correlation between IS/GWS and average LST first decreases and then gradually increases, trending to be flat at 600m. The optimal grid size range of IS and GS affected by LST was 600m×600m within the inner Fifth Ring area of Beijing. Among the 1796grids based on the optimal granularity, the mean temperature (Tm) was significantly correlated with impervious (0.723) and vegetation & water (-0.715), the standard deviation of temperature (Ts) was significantly correlated with impervious (-0.051) and water (0.054); when the proportion of vegetation was more than 55%, Tm decreased rapidly. When the proportion of dominant landscape types in the grid reaches a certain level, an increase or decrease in its proportion will cause rapid changes in the thermal environment. Based on the correlation analysis of vegetation & water, impervious landscape pattern, and thermal environment, Tm and LPI_IS (0.665), COHENSION_GWS (-0.547) were significantly correlated. When the proportion of GWS in the grid is more than 40%, the larger the vegetation water patch area and the higher the spatial connectivity, the more conducive to improving the thermal environment.
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