Satellite remote sensing is playing an increasing role in the rapid mapping of damage after natural disasters. In particular, synthetic aperture radar (SAR) can image Earth's surface and map all weather conditions, day night. However, current SAR methods struggle to separate from other changes surface. this study, we propose a novel approach mapping, combining deep learning with full time histo...