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The relationship between land surface temperature (LST) and land use patterns has long been explored to understand the impact of urbanization on the urban heat island effect. This paper reports the geographically weighted regression method. The LST is derived from the radiation transfer model and the urban reflectance is grouped into three types from the linear spectral mixture in Nanjing City, China. The high LST on October 3, 2009 in the central city, suburbs, outer suburbs, and outer suburbs near water were 44, 40, 36, and 33°C, respectively. The LSTs of the central city in spring, summer, and autumn were 1–5°C higher than that of the suburbs. The high absorption coefficient of vegetation, substrate, and dark surfaces with LST were -0.80, 1.05, and -1.64, respectively. The promoting role of impervious surfaces is much higher than the cooling effects of vegetation on LST. Water surfaces have a more obvious effect on adjusting LST. If the landscape diversity index or the fragment index are low, the vegetation cover has a more noticeable negative correlation with LST. The way in which LST relates to land reflectance and to landscape provides a quantitative reference for urban planning of sustainable development in Nanjing.

COMPARATIVE ANALYSIS OF LAND SURFACE TEMPERATURE AND LAND COVER BASED ON GEOGRAPHICALLY WEIGHTED REGRESSION