Detecting Slow Slip Events From Seafloor Pressure Data Using Machine Learning

A machine learning Detector to automatically detect the Slow Slip Events(SSEs) in long-time seafloor pressure data.

detect_SSE_movie.mp4

The detailed can be found in paper. I later improved the model by detecting both uplift and subsidence signals.

Step01: Prepare the synthetic training dataset

Synthetic data includes noise, down/up ramp synthetic SSE, and linear instrumental drift.

Step02: Train the machine learning model (SSE detector)

Step03: Apply the detector to the real data