Automatic seismic source modeling of InSAR displacements

In this work we describe the implementation of a processing chain for a fully automatic modeling of the seismic source parameters and its slip distribution through the inversion of the InSAR displacements generated from the EPOSAR service. This processing chain consists of a suite of procedures and algorithms handling a sequence of steps: selection of the highest quality InSAR datasets, definition of the area of interest, image sampling, nonlinear and linear inversions to get, respectively, the source geometry and its slip distribution. A set of side procedures and interfaces also allows an interactive refinement and the publication of results, consisting of scientific data and graphical outputs. The whole procedure has been developed, tested and validated by considering 100 events with magnitudes between 5.5 and 8.2, worldwide distributed and covering an exhaustive range of mechanisms and tectonic contexts. Main aim of this work is describing the implementation of the automatic modeling procedures, used to produce solutions in real time, already during the emergency phase. These sources, validated by experts before their publication, can be a reference for operational purposes and initial scientific analyses. The creation of this repository sets also the framework to store, out of the emergency time, more sophisticated solutions, manually revised and/or with peer-review quality.

Automated summary

This work describes the implementation of a processing chain for fully automatic modeling of seismic source parameters and slip distribution using InSAR displacements. The chain involves a series of steps and algorithms, including dataset selection, area definition, image sampling, and inversions for source geometry and slip distribution. The procedures have been developed and tested using 100 globally distributed events, ranging from magnitude 5.5 to 8.2, covering a wide range of mechanisms and tectonic contexts. The aim is to provide real-time solutions during the emergency phase, which can be validated by experts and used for operational purposes and initial scientific analyses.