Extraction of impervious surface in Hai Basin using remote sensing

Impervious surface coverage in a region is not only an indicator of the degree of urbanization but also a major indicator of environmental quality.Most of the existing methods of extracting impervious surface based on remote sensing concentrate on an urban scale,but the rapid and accurate methods of extracting impervious surfaces in a basin scale are nearly nonexistent in China and abroad.In this study,we used Landsat images acquired in same season covering the entire Hai Basin as data source,and generated a mask for removing the non-impervious surfaces using a land-use data set of roads,and urban,rural,and industrial land.Then,by selecting bright and dark vegetation endmember,high albedo and low albedo impervious surface endmember,and dry and wet soil endmember,we applied a Multiple Endmember Spectral Mixture Analysis(MESMA) model to extract impervious surfaces in the basin scale.The accuracy assessment results showed high accuracy,in that the mean relative error(MRE) and correlation coefficient(R) of all samples were 12.1% and 0.83,respectively,which indicated that the method of extracting impervious surfaces in a basin scale was feasible.