Generate synthetic InSAR deformation data from earthquake sources for Machine/Deep Learning training
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Updated
Mar 18, 2026 - Python
Generate synthetic InSAR deformation data from earthquake sources for Machine/Deep Learning training
Slip model and Relative Source Time Functions for the the 2013 Mw 3.3 St. Gallen earthquake
SHAppE is an interface for time-dependent seismic hazard evaluation, designed to support both researchers and students in natural and anthropogenic seismology.
Crustal deformation codes
Modeling strongly coupled diffusion and deformation process in a layered poroelastic medium induced by pump/injection tests
The AI-Ready Downhole Microseismic Benchmark Database (AMBER) https://doi.org/10.5281/zenodo.18944111
Quantifying temporal structure and stress dynamics in 25 years of global seismicity
There are approximately 3 to 4 classic methods for estimating the maximum magnitude of induced earthquakes
Earthquake relocation pipeline: DBSCAN clustering, waveform cross-correlation, and GrowClust3D relative relocation with 3D travel time grids
Quantifying temporal structure and stress dynamics in 25 years of global seismicity (USGS ComCat, 2000–2025)
Probabilistic association of earthquakes with hydraulic fracturing, water disposal, and production well activities in NE British Columbia
Ipython script to exemplify the methodology of fuzzy scoring to model exposure
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