Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
Abstract Volcanic tremor is key to our understanding of active magmatic systems, but due to its complexity, there is still a debate concerning its origins and how it can be used to characterize eruptive dynamics. In this study we leverage machine learning techniques using 6 years of continuous seism...
| Published in: | Geophysical Research Letters |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-02-01
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| Online Access: | https://doi.org/10.1029/2019GL085523 |