📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Machine Learning Approaches to Identifying Changes in Eruptive State Using Multi-Parameter Datasets From the 2006 Eruption of Augustine Volcano, Alaska (2021)

First Author: Manley G

Attributed to: Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1029/2021jb022323

Publication URI: http://dx.doi.org/10.1029/2021jb022323

Type: Journal Article/Review

Parent Publication: Journal of Geophysical Research: Solid Earth

Issue: 12