Refraction Microtremor Processing for Distributed Acoustic Sensing Data
ReMi-DAS is an open-source toolkit for applying Refraction Microtremor (ReMi) analysis to Distributed Acoustic Sensing (DAS) data.
It extends conventional ReMi workflows to accommodate strain/strain-rate measurements from DAS arrays, enabling efficient and scalable shear-wave velocity (Vs) profiling—particularly in urban or infrastructure-constrained environments.
This package is developed using core functionality from the DASCore project — a flexible Python library for reading, processing, and visualizing DAS data.
- 📓 A Jupyter notebook demonstrating the complete ReMi workflow
- 🧩 Modular Python scripts for:
- Preprocessing DAS data (e.g., tapering, filtering)
- Slowness-frequency transformation using Tau-P methods
- Dispersion curve picking and visualization
- 📊 Tools for slowness-frequency image plotting and Rayleigh-wave dispersion analysis
- McMechan, G.A. and Yedlin, M.J., 1981. Analysis of dispersive waves by wave field transformation. Geophysics, 46(6), pp.869-874.
- Louie, J.N., 2001. Faster, better: shear-wave velocity to 100 meters depth from refraction microtremor arrays. BSSA, 91(2), pp.347-364.
- Chambers, D., Jin, G., Tourei, A., Issah, A.H.S., Lellouch, A., Martin, E.R., Zhu, D., Girard, A.J., Yuan, S., Cullison, T. and Snyder, T., 2024. Dascore: A python library for distributed fiber optic sensing. Seismica, 3(2), pp.10-26443.