Linear spectral unmixing was used for automated mapping of impervious surfaces.
Spectral unmixing was implemented in high spatial resolution multispectral imagery.
Impervious surfaces were mapped from non-shadowed and shadowed areas, respectively.
Accuracies of impervious surface mapping were compared in urban and suburban areas.