Electromagnetism Anomaly Detection and Deformation Monitoring by Generative and Predictive AI Approaches

An earthquake is a natural and devastating hazard that causes enormous human and economic losses and disruption, its impact continues to grow globally. The aim of the project is to develop innovative data analytics using Generative Artificial Intelligence (AI) and deep predictive neural networks. These methods will be employed to analyze and detect anomalies from electromagnetic data observed by SWARM and CSES satellites, and the CSELF (Control Source Extremely Low Frequency) network for monitoring and studying earthquakes, which will be cross-examined by the seismic deformation analysis based on the high-quality SAR data over the affected regions acquired from the Sentinel-1A/1B satellites.