Revising the 2007 Peru Earthquake Damage Monitoring Using Machine Learning Models and Satellite Imagery

We revised the building damage caused by the 2007 Pisco-Peru Earthquake using machine learning models and high-resolution satellite imagery. A framework for rapidly detecting collapsed buildings was proposed in the project "Development of Integrated Expert System for Estimation and Observation of Damage Level JICA SATREPS). The framework is based on a semantic segmentation model trained on freely available satellite and aerial imagery that does not include the target area. Thus, the generalization performance of the proposed framework was analyzed. Qualitative and quantitative analyses demonstrated that the proposed framework successfully predicted the distribureflects the ability to detect newly placed shelters. Our damaged buildings, crucial information for emergency sential for fast rescue actions.