Using aggregated accelerometer data across many smartphones, many of us can now better access a large-scale earthquake warning system.
There is no easy solution for earthquake prediction, but machine learning in particular has made forecasting far better.
Researchers are working on developing remotely sensed maps that may assist locals in assessing damage and managing the aftermath with future earthquakes.
Guest article from SuperGeo. SCENARIO On September 21st, 1999, a 7.3 strong magnitude earthquake rocked Taiwan. It caused thousands of death and injuries, which was … Read more
The USGS is now testing out Twitter to collect early response information about earthquakes: “the USGS is developing a system that gathers real-time, earthquake-related messages … Read more
Maps of earthquakes and faultlines can be easily accessed over the internet and through public agencies. GIS has also been used in determining earthquake hazards such as landslides and liquefaction.
A network of research stations located across Southern California and Baja California was created in 2011 in order to detect minute movements of the earth.