Analyses on spatiotemporal patterns of impervious surface coverage in Changsha metropolitan area

Abstract

Based on Linear Spectral Mixture Model (LSMM), Zonal Statistic, Transect analyses, and Transformation analyses of urban land cover, we extracted out the Impervious Surface Coverage (ISC) of Changsha metropolitan area in 2005, 2009, and 2013, and analyzed its spatiotemporal patterns in 2005-2013. The results were: (1) we reported that increasing and improving proportion of dark vegetation can reduce the misclassification of low albedo and shadow. (2) The main increase of ISC in Changsha metropolitan area was in 20052009. Impervious surface expanded from the center to all around. The construction of urban greenspace was paid closely attention in 2009-2013. (3) The transformation between impervious surface and vegetation appeared mainly in downtown and counties. The transform from soil to impervious surface mainly arose in 20052009. (4) The Impervious Surface Coverage (ISC) and Land Surface Temperature (LST) had linear relationship in Changsha Metropolitan Area. The primary reason for the rising of urban land surface temperature (LST) was high density of impervious surface, not low density and scattered ones.