Abstract: A system for predicting occurrence of earthquakes greater than magnitude 4.5 within 24-48 hours includes a plurality of sensor stations in communication with a data center. The sensor stations collect data from three induction magnetometers, two ion detectors (positive and negative), a geophone, and temperature and humidity sensors. Infrared data for the area around the station is also collected and evaluated at the data center. Other sensors may be deployed to detect, identify, and eliminate signals that are attributed to noise. Noise sources may include solar storms, lightning, vehicles, electric trains, and other local machinery or man-made sources. Using the captured data, the data center applies signal-processing algorithms to identify patterns in the collected data that match known data patterns which have immediately preceded earthquakes.