Qseek: A data-driven Framework for Automated Earthquake Detection, Localization and Characterization

We introduce a data-driven method and software for detecting and locating earthquakes in large seismic datasets. By combining seismic phase arrival annotations, delivered by neural network phase pickers, and waveform stacking with an adaptive octree search, we can automatically detect and locate se...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Marius Isken, Sebastian Heimann, Peter Niemz, Jannes Münchmeyer, Simone Cesca, Hannes Vasyura-Bathke, Torsten Dahm
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	McGill University 2025-02-01
Σειρά:	Seismica
Θέματα:	Seismology Earthquake detection Machine learning Earthquake Location Large-N arrays
Διαθέσιμο Online:	https://seismica.library.mcgill.ca/article/view/1283
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