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...
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| Main Authors: | Marius Isken, Sebastian Heimann, Peter Niemz, Jannes Münchmeyer, Simone Cesca, Hannes Vasyura-Bathke, Torsten Dahm |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
McGill University
2025-02-01
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| Series: | Seismica |
| Subjects: | |
| Online Access: | https://seismica.library.mcgill.ca/article/view/1283 |
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