An improved data integration algorithm to constrain the 3D displacement field induced by fast deformation phenomena tested on the Napa Valley earthquake

In this work, we propose an improved algorithm to constrain the 3D ground displacement field induced by fast surface deformations due to earthquakes or landslides. Based on the integration of different data, we estimate the three displacement components by solving a function minimization problem fro...

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Published in:	Computers & geosciences Vol. 109; pp. 206 - 215
Main Authors:	Polcari, Marco, Fernández, José, Albano, Matteo, Bignami, Christian, Palano, Mimmo, Stramondo, Salvatore
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2017
Subjects:	algorithms covariance Data integration algorithm deformation earthquakes Global positioning system (GNSS) global positioning systems interferometry landslides Multiple Aperture Interferometry (MAI) Napa earthquake Pixel Offset Tracking (POT) SAR Interferometry (InSAR) tectonics Data integration algorithm SAR Interferometry (InSAR) Pixel Offset Tracking (POT) Multiple Aperture Interferometry (MAI) Global positioning system (GNSS) Napa earthquake
ISSN:	0098-3004, 1873-7803
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Abstract	In this work, we propose an improved algorithm to constrain the 3D ground displacement field induced by fast surface deformations due to earthquakes or landslides. Based on the integration of different data, we estimate the three displacement components by solving a function minimization problem from the Bayes theory. We exploit the outcomes from SAR Interferometry (InSAR), Global Positioning System (GNSS) and Multiple Aperture Interferometry (MAI) to retrieve the 3D surface displacement field. Any other source of information can be added to the processing chain in a simple way, being the algorithm computationally efficient. Furthermore, we use the intensity Pixel Offset Tracking (POT) to locate the discontinuity produced on the surface by a sudden deformation phenomenon and then improve the GNSS data interpolation. This approach allows to be independent from other information such as in-situ investigations, tectonic studies or knowledge of the data covariance matrix. We applied such a method to investigate the ground deformation field related to the 2014 Mw 6.0 Napa Valley earthquake, occurred few kilometers from the San Andreas fault system. •A data integration algorithm for estimating the 3D displacement field due to natural or anthropic phenomena is proposed.•The algorithm works well with fast and sudden deformation phenomena.•The 3D displacement field induced by the 2014 Napa earthquake is estimated.
AbstractList	In this work, we propose an improved algorithm to constrain the 3D ground displacement field induced by fast surface deformations due to earthquakes or landslides. Based on the integration of different data, we estimate the three displacement components by solving a function minimization problem from the Bayes theory. We exploit the outcomes from SAR Interferometry (InSAR), Global Positioning System (GNSS) and Multiple Aperture Interferometry (MAI) to retrieve the 3D surface displacement field. Any other source of information can be added to the processing chain in a simple way, being the algorithm computationally efficient. Furthermore, we use the intensity Pixel Offset Tracking (POT) to locate the discontinuity produced on the surface by a sudden deformation phenomenon and then improve the GNSS data interpolation. This approach allows to be independent from other information such as in-situ investigations, tectonic studies or knowledge of the data covariance matrix. We applied such a method to investigate the ground deformation field related to the 2014 Mw 6.0 Napa Valley earthquake, occurred few kilometers from the San Andreas fault system. In this work, we propose an improved algorithm to constrain the 3D ground displacement field induced by fast surface deformations due to earthquakes or landslides. Based on the integration of different data, we estimate the three displacement components by solving a function minimization problem from the Bayes theory. We exploit the outcomes from SAR Interferometry (InSAR), Global Positioning System (GNSS) and Multiple Aperture Interferometry (MAI) to retrieve the 3D surface displacement field. Any other source of information can be added to the processing chain in a simple way, being the algorithm computationally efficient. Furthermore, we use the intensity Pixel Offset Tracking (POT) to locate the discontinuity produced on the surface by a sudden deformation phenomenon and then improve the GNSS data interpolation. This approach allows to be independent from other information such as in-situ investigations, tectonic studies or knowledge of the data covariance matrix. We applied such a method to investigate the ground deformation field related to the 2014 Mw 6.0 Napa Valley earthquake, occurred few kilometers from the San Andreas fault system. •A data integration algorithm for estimating the 3D displacement field due to natural or anthropic phenomena is proposed.•The algorithm works well with fast and sudden deformation phenomena.•The 3D displacement field induced by the 2014 Napa earthquake is estimated.
Author	Bignami, Christian Fernández, José Albano, Matteo Polcari, Marco Stramondo, Salvatore Palano, Mimmo
Author_xml	– sequence: 1 givenname: Marco surname: Polcari fullname: Polcari, Marco email: marco.polcari@ingv.it organization: Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143, Rome, Italy – sequence: 2 givenname: José surname: Fernández fullname: Fernández, José organization: Instituto de Geocencias (IGEO) (CSIC, UCM), Plaza de Ciencias 3, 28040, Madrid, Spain – sequence: 3 givenname: Matteo surname: Albano fullname: Albano, Matteo organization: Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143, Rome, Italy – sequence: 4 givenname: Christian surname: Bignami fullname: Bignami, Christian organization: Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143, Rome, Italy – sequence: 5 givenname: Mimmo surname: Palano fullname: Palano, Mimmo organization: Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Piazza Roma 2, 95125, Catania, Italy – sequence: 6 givenname: Salvatore surname: Stramondo fullname: Stramondo, Salvatore organization: Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143, Rome, Italy
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Keywords	Data integration algorithm SAR Interferometry (InSAR) Pixel Offset Tracking (POT) Multiple Aperture Interferometry (MAI) Global positioning system (GNSS) Napa earthquake
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Snippet	In this work, we propose an improved algorithm to constrain the 3D ground displacement field induced by fast surface deformations due to earthquakes or...
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SubjectTerms	algorithms covariance Data integration algorithm deformation earthquakes Global positioning system (GNSS) global positioning systems interferometry landslides Multiple Aperture Interferometry (MAI) Napa earthquake Pixel Offset Tracking (POT) SAR Interferometry (InSAR) tectonics
Title	An improved data integration algorithm to constrain the 3D displacement field induced by fast deformation phenomena tested on the Napa Valley earthquake
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