Next Generation Earthquake Monitoring: Harnessing Deep Learning for Enhanced Seismic Phase Detection and Association
As seismology enters the era of big data, the exponential growth in data volume and processing needs surpasses the capacity of traditional seismic monitoring workflows. The recent success of machine learning applications across various scientific domains has made a paradigm shift in image processing and simple task automation. Within this context, this thesis portrays a modern earthquake monitoring workflow with deep learning integrated into different fronts.