Volcano Monitoring using Multiple Remote Data Sources

Satellite-based remote sensing instruments can be used to determine quantitative values related to precursory activity that can act as a warning sign of an upcoming eruption. These warning signs are measured through examining anomalous activity in: (1) thermal flux, (2) gas/aerosol emission rates, (3) ground deformation, and (4) ground-based seismic readings. Patterns in each of these data sources are then analyzed to create classifications of different phases of precursory activity. These different phases of activity act as guidelines to monitor the progression of precursory activity leading to an eruption. Current monitoring methods rely on using high temporal resolution satellite imagery from instruments like the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectrometer (MODIS) sensors, for variations in thermal and aerosol emissions, and the Ozone Monitoring Instruments (OMI) and Ozone Mapping Profiler Suite (OMPS) instruments, for variations in gas emissions, to provide a valuable resource for near real-time monitoring of volcanic activity. However, the low spatial resolution of these data only enable events that produce a high thermal output or a large amount of gas/aerosol emissions to be detected. High spatial resolution instruments, like the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor, have a small enough pixel size (90m2) that the subtle variations in both thermal flux and gas/aerosol emission rates in the pre-eruptive period can be detected. Including these data with the already established high temporal resolution data helps to identify and classify precursory activity patterns months before an eruption (Reath et al, 2016). By correlating these data with ground surface deformation data, determined from the Interferometric Synthetic Aperture Radar (InSAR) sensor, and seismic data, collected by the Incorporated Research Institution for Seismology (IRIS) data archive, subtle variations in volcanic activity occurring during the precursory period can be identified and classified. Thus enabling the volcanic activity occurring during the precursory period to be better understood and producing a more accurate forecast for the time and magnitude of the upcoming eruption.