We summarize major findings and best-practice recommendations from three Volcano
Observatory Best Practices (VOBP) workshops, which were held in 2011, 2013 and 2016 …

Unsupervised semantic segmentation in the time series domain is a much-studied problem
due to its potential to detect unexpected regularities and regimes in poorly understood data …

A primary goal of volcanology is forecasting hazardous eruptive activity. Despite much
progress over the last century, however, volcanoes still erupt with no detected precursors …

Understanding gas-magma dynamics in volcanic conduits and linking them with the
associated geophysical signals at the surface is of fundamental importance in monitoring …

Unsupervised semantic segmentation in the time series domain is a much studied problem
due to its potential to detect unexpected regularities and regimes in poorly understood data …

Due to the high data volume and non-stationarity of time series data, it is very difficult to
directly use the original data for anomaly detection. In this study, a novel framework of …

The monitoring of volcanoes is mainly performed by sensors installed on their structures,
aiming at recording seismic activities and reporting them to observatories to be later …

Abstract The Long Valley volcanic region, eastern California, has been characterized by
recurrent and generally explosive eruptions in the past 180,000 years, originating from a N/S …

During a volcanic crisis, evacuation is the most effective mitigation measure to preserve life.
However, the decision to call an evacuation is typically complex and challenging, in part due …

Locating sources of volcano-seismic event is very relevant to monitor and comprehend
volcanic processes. Ordinary estimation of source seismic events is based on phase picking …