Impervious surfaces (IS), as one of the most important land cover types and characteristic of
urban/suburban1 environments, are known to effect urban surface temperatures by altering the sensible
and latent heat fluxes. This study examined the effect IS spatial patterns have on land surface
temperature (LST) in Wuhan, China. LST were retrieved from the corrected TIR band (10.4~12.5μm)
of Landsat images using Single-Channel method. IS distribution, together with vegetation and soil
distribution, was estimated through a fully constrained linear spectral mixture model. Four
endmembers, vegetation, soil, low albedo, and high albedo were selected to model heterogeneous
urban land cover. Impervious surface fraction was estimated by analyzing low and high albedo
endmembers. Correlation analyses were conducted to investigate the changing relationship of LST with
impervious surface. The result indicated there was a strongly positive relationship (r2>0.85) between
LST and percent impervious surface for all seasons, which suggested the variations in LST could be
accounted for very well by percent impervious surface.
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