Machine learning approaches to identifying changes in eruptive state using multi-parameter datasets from the 2006 eruption of Augustine Volcano, Alaska

Machine learning approaches to identifying changes in eruptive state using multi-parameter datasets from the 2006 eruption of Augustine Volcano, Alaska

Understanding the timing of critical changes in volcanic systems, such as the beginning and end of eruptive behaviour, is a key goal of volcanic monitoring. Traditional approaches to forecasting these changes have used models motivated by the underlying physics of eruption onset, which assume that g...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Manley, G, Mather, T, Pyle, D, Clifton, D
Formáid:	Journal article
Teanga:	English
Foilsithe / Cruthaithe:	American Geophysical Union 2021

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