Codes & Software
This Python C extension implements classical Okada and TDEs (Triangular Dislocation Elements) algorithms for efficient computation of surface displacements caused by subsurface dislocations. The implementation is optimized for large-scale analyses with significant performance improvements over pure Python implementations.
Key features include:
- Fast C implementation of Okada's solutions
- Support for triangular dislocation elements
- Parallelized computation for large datasets
- Python interface with NumPy integration
A comprehensive Python package for processing and analyzing earthquake-related datasets. This toolkit provides functions for data cleaning, statistical analysis, visualization, and modeling of seismic data.
Main components:
- Data importers for common seismic data formats
- Signal processing utilities for seismogram analysis
- Statistical tools for earthquake catalog analysis
- Visualization modules for creating publication-quality figures
An end-to-end processing pipeline for Interferometric Synthetic Aperture Radar (InSAR) data analysis. The pipeline automates the process from raw data to displacement time series and includes tools for noise reduction and deformation modeling.
Features:
- Automatic atmospheric correction
- Time series analysis with SBAS algorithm
- Integration with geophysical modeling tools
- GIS-compatible output formats
