Brian Dye, a Geology graduate student supervised by Dr G. Morra, just published a research paper on the first machine learning algorithm that automatically detects Strombolian eruptions in infrared images.
Fig. 1 Photograph taken with a digital SLR camera in visible light spectrum of Ray lava lake. The length of the lava lake in this image is approximately 40 m. (Image is from Peters et al., 2014)
Fig. 2 Time sequence of 12 s with detection examples of: a – Typical large eruption detected by both seismic cross-correlation and the neural network; b – Small eruption detected by neural network as an eruption but not within seismic cross-correlation threshold; c – Plume obscured image likely causing missed eruption detection by the neural network but above seismic cross-correlation threshold; d – Plume caused false positive categorization as an eruption by the neural network.