Reappraisal of volcanic seismicity at the Kirishima volcano using machine learning
Abstract Volcanic earthquakes provide essential information for evaluating volcanic activity. Because volcanic earthquakes are often characterized by swarm-like features, conventional methods using manual picking require considerable time to construct seismic catalogs. In this study, using a machine...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-12-01
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Series: | Earth, Planets and Space |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40623-023-01939-9 |