Discovering Signals in Noise

Abstract

Hazards that arise from volcanic settings are abundant, and the continuous monitoring of volcanoes remains an important task to protect civilians. Early warning systems have an enormous impact in effectively informing the general public of potential hazards and reducing the associated risks involved with volcanic eruptions. Volcano monitoring infrastructures rely on various complementary geophysical techniques, and the maintenance of such a diverse system of instruments is often challenging. This dissertation concerns the automated assessment of geophysical instruments, and the application of microgravity observations to long-term volcano monitoring.