Automatic Detection of Seismic Signals—Second Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 20 October 2024 | Viewed by 197
Special Issue Editors
Interests: seismology; seismic hazard; vulnerability and seismic risk
Special Issues, Collections and Topics in MDPI journals
Interests: seismology; seismic data acquisition; signal processing; near surface geophysics; wavelets
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the previous Special Issue “Automatic Detection of Seismic Signals” (https://www.mdpi.com/journal/sensors/special_issues/adss_sensors), we are pleased to announce the next in the series, entitled “Automatic Detection of Seismic Signals—Second Edition”.
Automatic detection and picking of seismic signals is crucial for seismic networks, which continuously monitor and work with huge volumes of data. In this situation, manual picking is tedious work in which some small events can go unnoticed and others can produce false alarms.
Accordingly, automatic picking algorithms are in constant development. New methodologies based on energy analysis, artificial neural networks, maximum likelihood methods, fuzzy logic theory, polarization analysis, hidden Markov models, autoregressive techniques, higher order statistics, wavelet transform, or template matching, among others, are continuously being investigated.
Accurate and reliable identification and detection of seismic phases is essential for subsequent real-time analysis. The information contained in the different seismic phases allows the expected magnitude, the epicentral location of an event, and other parameters that might be used by earthquake early-warning systems to be estimated.
The aim of this Special Issue is to present the most recent advances in the automatic detection and phase picking of seismic signals. Topics related to this Special Issue of Sensors include, but are not limited to:
- Automatic seismic event detection;
- Accurate seismic phase picking;
- Real-time processing of seismic signals;
- New methodologies for the automatic estimation of earthquake parameters;
- Monitoring and early-warning systems;
- Using observations or measurements in near real-time to develop rapid shakemaps.
Dr. Sergio Molina Palacios
Prof. Dr. Juan Jose Galiana-Merino
Guest Editors
Manuscript Submission Information
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Related Special Issue
- Automatic Detection of Seismic Signals in Sensors (10 articles)
