Thread: Next Generation Seismic Detection at 2019 SSA

Started: 2018-12-05 18:47:31
Last activity: 2018-12-05 18:47:31
Topics: SSA Meetings
Tim Melbourne
2018-12-05 18:47:31
Dear Colleagues,

Abstract submissions for the SSA Annual Meeting in Seattle, Washington are now open! Please consider submitting an abstract to our session Next Generation Seismic Detection

Session Description:
A range of new technologies are revolutionizing how we can detect and characterize seismic events. These include the use of new types of sensors to record motion, as well as new algorithms to process the geophysical data that they generate. Real-time processing of geodetic data is now the norm as the number of GNSS receivers streaming continuous data is steadily increasing. Tens of millions of smartphones equipped with both GNSS and accelerometer sensors have been deployed throughout the western US, while hundreds of millions exist throughout tectonically regions globally, and these are increasingly being harnessed in myriad new ways through crowd-sourcing. Seismic detection by voice- and shaking-activated Internet of Things offer to push sensor density far higher still. Machine learning algorithms are being applied to a wide variety of geophysical data and are improving our capability to detect events of interest. We invite contributions from researchers developing new and innovative ways to detect and characterize seismic events.

This session seeks contributions from the myriad new avenues of earthquake detection, analysis and warning, including (but not limited to):

-real-time earthquake analysis with Global Navigation Satellite Systems (GNSS & GPS);
-crowd-sourced smartphone accelerometer detection and analysis;
-voice- and shaking-activated detection among the Internet of Things
-new analysis techniques, including machine learning, to handle millions of sensors

The deadline to submit an abstract is January 11, 2019
For information about the sessions and abstract submissions:
Full meeting information:

Timothy Melbourne, Central Washington University (tim<at>
Richard Allen, Berkeley Seismology Lab (rallen<at>
Gavin Hayes, USGS National Earthquake Information Center (ghayes<at>

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