Post Disaster Mapping With Semantic Change Detection in Satellite Imagery.

Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin

Abstract: Accurate road maps are important for timely disaster relief efforts and risk management. Current disaster mapping is done manually by volunteers following a disaster and the process is slow and error prone. We propose a framework for identifying accessible roads in post-disaster satellite imagery by detecting changes from pre-disaster imagery, in conjunction with OpenStreetMap data. We validate our results with data from Indonesia 2018 tsunami, obtained from DigitalGlobe.