Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano

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 seismic data f...

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Detalles Bibliográficos
Autores principales: Ren, C. X., Peltier, A., Ferrazzini, V., Rouet‐Leduc, B., Johnson, P. A., Brenguier, F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Research Letters
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374946/
https://www.ncbi.nlm.nih.gov/pubmed/32713974
http://dx.doi.org/10.1029/2019GL085523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374946/
https://www.ncbi.nlm.nih.gov/pubmed/32713974
http://dx.doi.org/10.1029/2019GL085523

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