Documenting liquefaction surface effects is necessary both to validate and to refine existing liquefaction models. Post-earthquake liquefaction data collection historically relies on field investigation and is often spatially limited and incomplete [4]. Areas that are not near centers of population or major transportation routes are often neglected. Pre- and post-earthquake satellite images enable spatially continuous/exhaustive mapping of liquefaction [11]. We develop a workflow for mapping earthquake-induced surface effects of liquefaction using optical images with high spatial resolution. Our method combines object-based classification with change detection. We verify the proposed method to the Urayasu region affected by the 2011 Tohoku earthquake, comparing the results with visual inspections. The proposed method can identify liquefaction surface effects on bare soil and pavement, providing a high resolution map of liquefaction surface effects.