Earthquake prediction with remote sensing
A strong earthquake shook southern Mexico on Tuesday, causing panic and minor damage to buildings and prompting an oil refinery to shut down as a precaution (MSNBC). New techniques in satellite remote sensing show promise to help predict earthquakes and warn residents before they happen.
Recent advances in geospatial technology, especially in remote sensing, may allow scientists to monitor earthquake cycles and surface deformation using radar interferometry, but also forecast earthquake events from 6 to 24 days before the shock happens (source). Such a prediction can be obtained using thermal anomalies derived from operational satellite data in the infrared domain.
Daily surface temperature can be estimated at spatial resolution of 0.5-5km and with uncertainties of 0.12-0.5 °C from modern space-borne sensors. Heat, water vapor and gas reached the Earth’s surface as a result of near surface tectonic motion and lithosphere-atmospheric interactions increase the surface temperature. Therefore, these thermal anomalies signal the impending earthquake. It is especially sensitive to the crustal earthquakes with magnitude of greater than 4.5.
At the same time, do not forget, earthquake prediction is a very controversial issue. Many scientists believe earthquake prediction is impossible (here). So, this is the forum to comment, it is good to discuss such a controversial issues among interested colleagues.
Reference:
Tronin, A.A. 2006. Remote sensing and earthquakes: a review. Physics and Chemistry of the Earth, 31:138-142


Dr. Abduwasit Ghulam is a geospatial and environmental scientist from the Center for Environmental Sciences at Saint Louis University. He has been actively involved in research and education in remote sensing and GIS, climate change, human interactions on the changing environment and natural disasters such as droughts and floods.
It sounds like this technique should be used to try to save lives in earthquake prone areas. Has this been used successfully anywhere?