The last decade witnessed an explosion in yearly number of publications on passive glacier
seismology. The seismic signals from a wide range of glacier‐related processes fill a broad …

Environmental monitoring is a topic of increasing interest, especially concerning the matter
of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with …

Volcanic seismology represents the main, and often the only, tool to forecast volcanic
eruptions and to monitor the eruption process. This book describes the main types of seismic …

Deep neural networks (DNNs) could help to identify the internal sources of volcano-seismic
events. However, direct applications of DNNs are challenging, given the multiple seismic …

This paper introduces recurrent neural networks (RNN), long short-term memory (LSTM),
and gated recurrent unit (GRU) to detect and classify continuous sequences of volcano …

Since the 1919 foundation of the International Association of Volcanology and Chemistry of
the Earth's Interior (IAVCEI), the fields of volcano seismology and acoustics have seen …

Monitoring the endogenous seismicity of volcanoes helps to forecast eruptions and prevent
their related risks, and also provides critical information on the eruptive processes. Due the …

Volcanic eruptions and their impact on human society, following earthquakes and
meteorological disasters, are the most severe natural hazards. Since the pioneering works …

The prediction of volcanic eruptions and the evaluation of associated risks remain a timely
and unresolved issue. This paper presents a method to automatically classify seismic events …

We implemented the first operational automated seismic‐event classification system for
monitoring activity at the Piton de la Fournaise volcano observatory (OVPF, La Réunion …