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  5. Performance Evaluation of Different SAR-Based Techniques on the 2019 Ridgecrest Sequence
 
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Performance Evaluation of Different SAR-Based Techniques on the 2019 Ridgecrest Sequence

Author(s)
Polcari, Marco  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Palano, Mimmo  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Moro, Marco  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Language
English
Obiettivo Specifico
5IT. Osservazioni satellitari
Status
Published
JCR Journal
JCR Journal
Journal
Remote Sensing  
Issue/vol(year)
/13 (2021)
ISSN
2072-4292
Publisher
MDPI
Pages (printed)
685
Date Issued
2021
DOI
10.3390/rs13040685
URI
https://www.earth-prints.org/handle/2122/14914
Abstract
We evaluated the performances of different SAR-based techniques by analyzing the surface
coseismic displacement related to the 2019 Ridgecrest seismic sequence (an Mw 6.4 foreshock on July
4th and an Mw 7.1 mainshock on July 6th) in the tectonic framework of the eastern California shear
zone (Southern California, USA). To this end, we compared and validated the retrieved SAR-based
coseismic displacement with the one estimated by a dense GNSS network, extensively covering
the study area. All the SAR-based techniques constrained the surface fault rupture well; however,
in comparison with the GNSS-based coseismic displacement, some significant differences were
observed. InSAR data showed better performance than MAI and POT data by factors of about two
and three, respectively, therefore confirming that InSAR is the most consolidated technique to map
surface coseismic displacements. However, MAI and POT data made it possible to better constrain
the azimuth displacement and to retrieve the surface rupture trace. Therefore, for cases of strike-slip
earthquakes, all the techniques should be exploited to achieve a full synoptic view of the coseismic
displacement field.
Type
article
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Paper_Ridgecrest_2021.pdf

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Open Access published article
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10.56 MB

Format

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Checksum (MD5)

21c2842e0aae72934995edb889f38067

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