Welcome to SeisMonitor

A Python open-source package for seismological monitoring

Workflow

SeisMonitor monitors seismic activity that uses ready-made ML methods for event detection, phase picking and association, and other well-known methods for the rest of the steps

The framework can be applied to any region worldwide. We applied it to Colombia using nearly 7 years (2016–2022) of seismic data, successfully revealing significant tectonic structures and crustal faults.

Example for Colombia

Paper: Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms

Emmanuel Castillo, Daniel Siervo, Germán A. Prieto; Colombian Seismic Monitoring Using Advanced Machine‐Learning Algorithms. Seismological Research Letters 2024;; 95 (5): 2971–2985. doi: https://doi.org/10.1785/0220240036

Dataset: SeisMonitor in Colombia