{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:48:21Z","timestamp":1760233701620,"version":"build-2065373602"},"reference-count":38,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T00:00:00Z","timestamp":1613174400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs13040685","type":"journal-article","created":{"date-parts":[[2021,2,14]],"date-time":"2021-02-14T05:54:49Z","timestamp":1613282089000},"page":"685","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Performance Evaluation of Different SAR-Based Techniques on the 2019 Ridgecrest Sequence"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0506-3492","authenticated-orcid":false,"given":"Marco","family":"Polcari","sequence":"first","affiliation":[{"name":"Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7254-7855","authenticated-orcid":false,"given":"Mimmo","family":"Palano","sequence":"additional","affiliation":[{"name":"Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Moro","sequence":"additional","affiliation":[{"name":"Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.jog.2016.08.001","article-title":"Uncovering displacement processes from surface displacements","volume":"102","author":"Stramondo","year":"2016","journal-title":"J. Geodyn."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Chini, M., Pacifici, F., and Emery, W.J. (2009). Morphological operators applied to X-band SAR for urban land use classification. IEEE Int. Geosci. Remote Sens., 506\u2013509.","DOI":"10.1109\/IGARSS.2009.5417424"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/TGRS.2015.2482001","article-title":"Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence","volume":"54","author":"Pulvirenti","year":"2016","journal-title":"IEEE Trans. Geosci. Remote"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"4433","DOI":"10.1080\/01431160600675895","article-title":"Satellite radar and optical remote sensing for earthquake damage detection: Results from different case studies","volume":"27","author":"Stramondo","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Piscini, A., Romaniello, V., Bignami, C., and Stramondo, S. (2017). A New Damage Assessment Method by Means of Neural Network and Multi-Sensor Satellite Data. Appl. Sci., 7.","DOI":"10.3390\/app7080781"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1038\/364138a0","article-title":"The displacement field of the Landers earthquake mapped by radar interferometry","volume":"364","author":"Massonnet","year":"1993","journal-title":"Nature"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1785\/0120000834","article-title":"Displacement during the 12 November 1999 D\u00fczce, Turkey, Earthquake, from GPS and InSAR Data","volume":"92","author":"Fielding","year":"2002","journal-title":"Bull. Seismol. Soc. Am."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1390","DOI":"10.1785\/0120000933","article-title":"Coseismic Displacement from the 1999 Mw 7.1 Hector Mine, California, Earthquake as Inferred from InSAR and GPS Observations","volume":"92","author":"Simons","year":"2002","journal-title":"Bull. Seismol. Soc. Am."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1029\/2009GL039293","article-title":"Finite fault inversion of DInSAR coseismic displacement of the 2009 L\u2019Aquila earthquake (central Italy)","volume":"36","author":"Atzori","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.tecto.2010.04.033","article-title":"Subduction earthquake displacement associated with 14 November 2007, Mw 7.8 Tocopilla earthquake in Chile: Results from InSAR and aftershocks","volume":"490","author":"Motagh","year":"2010","journal-title":"Tectonophysics"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Polcari, M., Albano, M., Atzori, S., Bignami, C., and Stramondo, S. (2018). The Causative Fault of the 2016 Mwp 6.1 Petermann Ranges Intraplate Earthquake (Central Australia) Retrieved by C- and L-Band InSAR Data. Remote Sens., 10.","DOI":"10.3390\/rs10081311"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1186\/s40623-018-0827-3","article-title":"Coseismic and postseismic displacement associated with the 2016 Mw 7.8 Kaikoura earthquake, New Zealand: Fault movement investigation and seismic hazard analysis","volume":"70","author":"Jiang","year":"2018","journal-title":"Earth Planets Space"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"195","DOI":"10.3189\/172756402781817978","article-title":"Ice-sheet velocity mapping: A combined interferometric and speckle tracking approach","volume":"34","author":"Joughin","year":"2002","journal-title":"Ann. Glaciol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"L16311","DOI":"10.1029\/2006GL026883","article-title":"Measuring two-dimensional movements using a single InSAR pair","volume":"33","author":"Bechor","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"C206","DOI":"10.1016\/j.cageo.2017.09.002","article-title":"An improved data integration algorithm to constrain the 3D displacement field induced by fast displacement phenomena tested on the Napa Valley earthquake","volume":"109","author":"Polcari","year":"2017","journal-title":"Comput. Geosci."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Polcari, M., Tolomei, C., Bignami, C., and Stramondo, S. (2019). SAR and Optical Data Comparison for Detecting Co-Seismic Slip and Induced Phenomena during the 2018 Mw 7.5 Sulawesi Earthquake. Sensors, 19.","DOI":"10.3390\/s19183976"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1785\/0220140126","article-title":"The February 2014 Cephalonia Earthquake (Greece): 3D Deformation Field and Source Modeling from Multiple SAR Techniques","volume":"86","author":"Papoutsis","year":"2015","journal-title":"Seismol. Res. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1603","DOI":"10.1785\/0120200108","article-title":"Rupture Process of the 2019 Ridgecrest, California Mw 6.4 Foreshock and Mw 7.1 Earthquake Constrained by Seismic and Geodetic Data","volume":"110","author":"Wang","year":"2020","journal-title":"Bull. Seismol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1093\/gji\/ggaa099","article-title":"The 2019 Mw 6.4 and Mw 7.1 Ridgecrest earthquake sequence in Eastern California: Rupture on a conjugate fault structure revealed by GPS and InSAR measurements","volume":"221","author":"Li","year":"2020","journal-title":"Geophys. J. Int."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1979","DOI":"10.1785\/0220190275","article-title":"Coseismic Displacements and Surface Fractures from Sentinel-1 InSAR: 2019 Ridgecrest Earthquakes","volume":"91","author":"Sandwell","year":"2020","journal-title":"Seismol. Res. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1785\/0220190302","article-title":"Surface Displacement Related to the 2019 Mw 7.1 and 6.4 Ridgecrest Earthquakes in California from GPS, SAR Interferometry, and SAR Pixel Offsets","volume":"91","author":"Fielding","year":"2020","journal-title":"Seismol. Res. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1029\/2000TC001224","article-title":"GPS-determination of along-strike variation in Cascadia margin kinematics: Implications for relative plate motion, subduction zone coupling, and permanent deformation","volume":"20","author":"Miller","year":"2001","journal-title":"Tectonics"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Wang, K., and B\u00fcrgmann, R. (2020). Co- and Early Postseismic Deformation Due to the 2019 Ridgecrest Earthquake Sequence Constrained by Sentinel-1 and COSMO-SkyMed SAR Data. Seismol. Res. Lett., 91.","DOI":"10.1785\/0220190299"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1785\/0120070186","article-title":"Revisiting the 1872 Owens Valley, California, earthquake","volume":"98","author":"Hough","year":"2008","journal-title":"Bull. Seismol. Soc. Am."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2239","DOI":"10.1002\/2015GC006033","article-title":"Surface slip during large Owens Valley earthquakes","volume":"17","author":"Haddon","year":"2016","journal-title":"Geochem. Geophys. Geosys."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1130\/0016-7606(1973)84<1407:GFAITS>2.0.CO;2","article-title":"Garlock Fault: An Intracontinental Transform Structure, Southern California","volume":"84","author":"Davis","year":"1973","journal-title":"Bull. Geol. Soc. Am."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Ponti, D.J., Blair, J.L., Rosa, C.M., Thomas, K., Pickering, A.J., Akciz, S., Angster, S., Avouac, J.-P., Bachhuber, J., and Bacon, S. (2020). Documentation of Surface Fault Rupture and Ground-Displacement Features Produced by the 4 and 5 July 2019 Mw 6.4 and Mw 7.1 Ridgecrest Earthquake Sequence. Seismol. Res. Lett., 2942\u20132959.","DOI":"10.1785\/0220190322"},{"key":"ref_28","unstructured":"Wegmuller, U., and Werner, C. (1997, January 14\u201321). Gamma SAR processor and interferometry software. Proceedings of the ERS Symposium on Space at the Service of Our Environment, Florence, Italy."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"4035","DOI":"10.1029\/1998GL900033","article-title":"Radar interferogram filtering for geophysical applications","volume":"25","author":"Goldstein","year":"1998","journal-title":"Geophys. Res. Lett."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1109\/36.673674","article-title":"A novel phase unwrapping method based on network programming","volume":"36","author":"Costantini","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","first-page":"F3","article-title":"Glacier surge dynamics of Sortebr\u00e6, east Greenland, from synthetic aperture radar feature tracking","volume":"110","author":"Pritchard","year":"2005","journal-title":"J. Geophys. Res."},{"key":"ref_32","unstructured":"Herring, T.A., King, R.W., Floyd, M.A., and McClusky, S.C. (2018, June 02). Introduction to GAMIT\/GLOBK, Release 10.7. Massachusetts Institute of Technology. Available online: http:\/\/geoweb.mit.edu\/gg\/Intro_GG.pdf."},{"key":"ref_33","first-page":"B03417","article-title":"Higher-order ionospheric effects on the GPS reference frame and velocities","volume":"115","author":"Petrie","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_34","first-page":"B02406","article-title":"Troposphere mapping functions for GPS and very long baseline interferometry from european centre for medium range weather forecasts operational analysis data","volume":"111","author":"Boehm","year":"2006","journal-title":"J. Geophys. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1007\/s10236-006-0086-x","article-title":"Modelling the global ocean tides: Modern insights from fes2004","volume":"56","author":"Lyard","year":"2006","journal-title":"Ocean Dyn."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.rse.2017.09.009","article-title":"Using multi-band InSAR data for detecting local deformation phenomena induced by the 2016\u20132017 central Italy seismic sequence","volume":"201","author":"Polcari","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_37","first-page":"65","article-title":"Coseismic liquefaction phenomenon analysis by COSMO-SkyMed: 2012 Emilia (Italy) earthquake","volume":"39","author":"Chini","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1364\/JOSAA.17.000401","article-title":"Network approaches to two dimensional phase unwrapping: Intractability and two new algorithms","volume":"17","author":"Chen","year":"2000","journal-title":"J. Opt. Soc. Am."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/685\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:23:49Z","timestamp":1760160229000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/685"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,13]]},"references-count":38,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["rs13040685"],"URL":"https:\/\/doi.org\/10.3390\/rs13040685","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,2,13]]}}}