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  5. Automatic seismic source modeling of InSAR displacements
 
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Automatic seismic source modeling of InSAR displacements

Author(s)
Atzori, Simone  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Monterroso, Fernando  
Antonioli, Andrea  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
De Luca, Claudio  
Svigkas, Nikos  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Casu, Francesco  
Manunta, Michele  
Quintiliani, Matteo  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Lanari, Riccardo  
Language
English
Obiettivo Specifico
OST3 Vicino alla faglia
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
International Journal of Applied Earth Observation and Geoinformation  
Issue/vol(year)
/123 (2023)
ISSN
0303-2434
Publisher
Elsevier
Pages (printed)
103445
Date Issued
August 2023
DOI
10.1016/j.jag.2023.103445
URI
https://www.earth-prints.org/handle/2122/17034
Abstract
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.
Type
article
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Atzori et al 2023 (Automatic modeling) - IJAEOG.pdf

Description
Open Access Published Article
Size

14.92 MB

Format

Adobe PDF

Checksum (MD5)

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