Topic 4.

Volcanic Hazards

Photo: Twitter IGN
Photo: Twitter IGN

When a volcano erupts, timely information on hazards, their impact, and eruption duration is essential for risk mitigation. However, volcanic activity is unpredictable due to complex, nonlinear processes and uncertainties in key parameters. Despite these challenges, advancements in forecasting, satellite monitoring, AI, and modeling have improved hazard assessment. Combining AI with physical models enhances prediction accuracy and interpretability.

As part of this workshop, the volcanic hazards session will focus on the latest research and technological innovations in hazard assessment and forecasting. Experts will present case studies, discuss new methodologies, and explore the role of AI, satellite data, and computational models in improving early warning systems. The session aims to foster collaboration and drive forward interdisciplinary approaches to better understand and mitigate volcanic risks.

This session explores innovations in volcano monitoring, integrating satellite data, deep learning, and statistical models to improve hazard forecasting. By sharing insights, we aim to advance comprehensive strategies for risk mitigation.

Scientific committee/Convenors:

  • Alejandro Rodríguez (ULPGC)
  • Alicia Felpeto Rielo (IGN)
  • Pedro Dorta Antequera (ULL)
  • Rayco Marrero (IGME-CSIC)
  • Stavros Meletlidis (IGN)
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