Analysis of the Influence of Land Use Type Change on Urban Heat Island Effect
Firstly, based on the Landsat-8 remote sensing images of Beijing from 2013 to 2020, the TIRS10_SC algorithm was used to retrieve the land surface temperature of Beijing. Secondly, the temperature inversion results were normalized, the heat island was clas-sified, and the heat island intensity index was calculated. Finally, combined with land use type data, the influence of land use type coverage area change on urban heat island intensity was analyzed. The results show that:①The urban heat island effect in Beijing shows a trend of first increasing and then decreasing from 2013 to 2020, and the urban heat island effect phenomenon is the most obvi-ous in 2015. ②The degree of bare land changes the most from 2013 to 2020, in which 40.060％ of bare land is transformed into vege-tation and 24.988％ of bare land is transformed into construction land. ③The surface cover types in the areas with sub-heat island and strong heat island phenomena are mainly construction land and bare land, and the surface cover types in the areas with green is-land and cold island are mainly vegetation and water bodies, and the water bodies are more effective in mitigating the heat island effect with the same area share.
urban heat islandtemperature inversionland use typeheat island intensity index
万方数据
维普
