Academic literature on the topic 'GPS-InSAR inversion'

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Journal articles on the topic "GPS-InSAR inversion"

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Pollitz, Fred F., Chuck W. Wicks, and William C. Hammond. "Kinematic Slip Model of the 2021 M 6.0 Antelope Valley, California, Earthquake." Seismic Record 2, no. 1 (2022): 20–28. http://dx.doi.org/10.1785/0320210043.

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Abstract We present a kinematic slip model of the 8 July 2021 Antelope Valley earthquake from a finite-source inversion based on regional seismic waveforms and static offsets from Global Positioning System (GPS) and Interferometric Synthetic Aperture Radar (InSAR). Seismic waveforms are employed at 6 s dominant period out to 100 km from the epicenter, and the combined GPS and InSAR datasets cover the near field and far field out to ∼100 km and constrain the overall rupture size. The aftershock pattern defines a nearly north-striking, 50° east-dipping fault plane. We find a unilateral rupture a
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Song, Yujing, Chunyan Qu, Chao Ma, et al. "Coseismic Deformation Obtained by Various Technical Methods and Its Constraint Ability to Slip Models of Maduo Earthquake." Remote Sensing 16, no. 4 (2024): 615. http://dx.doi.org/10.3390/rs16040615.

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The coseismic deformation field on both sides of the fault, especially the distribution and change characteristics of near-field deformation, not only provides important constraints for the fine inversion of the slip distribution model but also serves as an important basis for the anti-disruption defense of the cross-fault linear engineering facilities. In this paper, we used Sentinel-1 satellite data to obtain the coseismic deformation field of the Maduo earthquake by using InSAR and offset techniques. We quantitatively compared the coseismic displacement of the three types of data: InSAR, of
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Li, Yanchuan, Jean-Mathieu Nocquet, and Xinjian Shan. "Crustal deformation across the western Altyn Tagh fault (86° E) from GPS and InSAR." Geophysical Journal International 228, no. 2 (2021): 1361–72. http://dx.doi.org/10.1093/gji/ggab403.

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SUMMARY We combine Global Positioning System (GPS) velocity field with Interferometric Synthetic Aperture Radar (InSAR) results to study the interseismic deformation across the western Altyn Tagh fault (ATF) at longitude 86° E. GPS and InSAR data are consistent after correcting for the contribution from vertical deformation in the InSAR line-of-sight map. InSAR and GPS data identify an area of ∼2 mm a−1 sinistral shear and ∼6 mm a−1 of NS shortening located ∼150 km south of the ATF near the Manyi fault system. Excluding the data located in that area, Bayesian inversion of a 2-D profile across
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Mariniere, J., J.-M. Nocquet, C. Beauval, et al. "Geodetic evidence for shallow creep along the Quito fault, Ecuador." Geophysical Journal International 220, no. 3 (2019): 2039–55. http://dx.doi.org/10.1093/gji/ggz564.

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SUMMARY Quito, the capital city of Ecuador hosting ∼2 million inhabitants, lies on the hanging wall of a ∼60-km-long reverse fault offsetting the Inter-Andean Valley in the northern Andes. Such an active fault poses a significant risk, enhanced by the high density of population and overall poor building construction quality. Here, we constrain the present-day strain accumulation associated with the Quito fault with new Global Positioning System (GPS) data and Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) analysis. Far field GPS data indicate 3–5 mm yr–1 of horizontal
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Ganas, Ath, P. Briole, D. Melgar, et al. "COSEISMIC DEFORMATION AND SEISMIC FAULT OF THE 17 NOVEMBER 2015 M=6.5 EARTHQUAKE, LEFKADA ISLAND." Bulletin of the Geological Society of Greece 50, no. 1 (2017): 491. http://dx.doi.org/10.12681/bgsg.11750.

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On November 17, 2015 a strong, shallow earthquake, Mw 6.5, occurred on the island of Lefkada along a strike-slip fault with right-lateral sense of slip. The event triggered widespread environmental effects that were mainly reported at the south and western part of the island while moving towards the eastern part, the intensity and severity of these earthquake-induced deformations were decreased. Relocation of seismicity and inversion of geodetic data suggests that the seismic fault runs parallel to the west coast of Lefkada, along the Aegean - Apulia plate boundary. The earthquake measured Mw=
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Guo, Zelong, Yangmao Wen, Guangyu Xu, et al. "Fault Slip Model of the 2018 Mw 6.6 Hokkaido Eastern Iburi, Japan, Earthquake Estimated from Satellite Radar and GPS Measurements." Remote Sensing 11, no. 14 (2019): 1667. http://dx.doi.org/10.3390/rs11141667.

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In this study, Sentinel-1 and Advanced Land Observation Satellite-2 (ALOS-2) interferometric synthetic aperture radar (InSAR) and global positioning system (GPS) data were used to jointly determine the source parameters and fault slip distribution of the Mw 6.6 Hokkaido eastern Iburi, Japan, earthquake that occurred on 5 September 2018. The coseismic deformation map obtained from the ascending and descending Sentinel-1 and ALOS-2 InSAR data and GPS data is consistent with a thrust faulting event. A comparison between the InSAR-observed and GPS-projected line-of-sight (LOS) deformation suggests
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Li, Zhicai, Yangmao Wen, Peng Zhang, Yang Liu, and Yong Zhang. "Joint Inversion of GPS, Leveling, and InSAR Data for The 2013 Lushan (China) Earthquake and Its Seismic Hazard Implications." Remote Sensing 12, no. 4 (2020): 715. http://dx.doi.org/10.3390/rs12040715.

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On 20 April 2013, a moment magnitude (Mw) 6.6 earthquake occurred in the Lushan region of southwestern China and caused more than 190 fatalities. In this study, we use geodetic data from nearly 30 continuously operating global positioning system (GPS) stations, two periods of leveling data, and interferometric synthetic aperture radar (InSAR) observations to image the coseismic deformation of the Lushan earthquake. By using the Helmert variance component estimation method, a joint inversion is performed to estimate source parameters by using these GPS, leveling, and InSAR data sets. The result
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Wang, Chisheng, Xiaoli Ding, Xinjian Shan, Lei Zhang, and Mi Jiang. "Slip distribution of the 2011 Tohoku earthquake derived from joint inversion of GPS, InSAR and seafloor GPS/acoustic measurements." Journal of Asian Earth Sciences 57 (September 2012): 128–36. http://dx.doi.org/10.1016/j.jseaes.2012.06.019.

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Yao, Jiaming, Xin Yao, Zuoqi Wu, and Xinghong Liu. "Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology." Journal of Sensors 2021 (April 1, 2021): 1–14. http://dx.doi.org/10.1155/2021/6660922.

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Underground mining in coal mining areas will induce large-scale, large-gradient surface deformation, threatening the safety of people’s lives and property in nearby areas. Due to mining-related subsidence is characterized by fast displacement and high nonlinearity, monitoring this process by using traditional and single interferometric synthetic aperture radar (InSAR) technology is very challenging, and it cannot accurately and quantitatively calculate the deformation of the mining area. In this paper, we proposed a new method that combines both multitemporal consecutive D-InSAR and offset tra
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Kundu, Bhaskar, Rajeev Kumar Yadav, Roland Bürgmann, Kang Wang, Dibyashakti Panda, and Vineet K. Gahalaut. "Triggering relationships between magmatic and faulting processes in the May 2018 eruptive sequence at Kīlauea volcano, Hawaii." Geophysical Journal International 222, no. 1 (2020): 461–73. http://dx.doi.org/10.1093/gji/ggaa178.

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SUMMARY The May 2018 activity at Kīlauea Volcano, Hawaii involved magma transport and dyke intrusion along the East Rift Zone (ERZ) and nucleation of the 4 May 2018 M 6.9 earthquake along the basal décollement of Kīlauea's mobile south flank. Combined Global Positioning Systems (GPS) and Interferometric Synthetic Aperture Radar (InSAR) measurements captured the deformation sequence associated with the dyke intrusion, main shock and eruption episode along the ERZ. The earthquake was encouraged by static stress changes from the preceding magma reservoir inflation, ERZ expansion and fault creep o
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Dissertations / Theses on the topic "GPS-InSAR inversion"

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Anderlini, Letizia <1985&gt. "Kinematic models of interseismic deformation from inversion of GPS and InSAR measurements to estimate fault parameters and coupling degree." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6554/1/anderlini_letizia_tesi.pdf.

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We have used kinematic models in two Italian regions to reproduce surface interseismic velocities obtained from InSAR and GPS measurements. We have considered a Block modeling, BM, approach to evaluate which fault system is actively accommodating the occurring deformation in both considered areas. We have performed a study for the Umbria-Marche Apennines, obtaining that the tectonic extension observed by GPS measurements is explained by the active contribution of at least two fault systems, one of which is the Alto Tiberina fault, ATF. We have estimated also the interseismic coupling distribut
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Anderlini, Letizia <1985&gt. "Kinematic models of interseismic deformation from inversion of GPS and InSAR measurements to estimate fault parameters and coupling degree." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6554/.

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We have used kinematic models in two Italian regions to reproduce surface interseismic velocities obtained from InSAR and GPS measurements. We have considered a Block modeling, BM, approach to evaluate which fault system is actively accommodating the occurring deformation in both considered areas. We have performed a study for the Umbria-Marche Apennines, obtaining that the tectonic extension observed by GPS measurements is explained by the active contribution of at least two fault systems, one of which is the Alto Tiberina fault, ATF. We have estimated also the interseismic coupling distribut
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Balestra, Julien. "Caractérisation de la source des séismes par inversion des données sismologiques et géodésiques : mécanismes au foyer, optimisation des modèles de vitesse, distribution du glissement cosismique." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4020/document.

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La caractérisation de la source d’un séisme se fait à partir de l’analyse des mesures des déplacements transitoires et statiques du sol, et dépend de la quantité et de la qualité de ces mesures. Nous avons travaillé sur la détermination des mécanismes au foyer des répliques du séisme de Saintes (MW 6.4, 2004), et sur la détermination de la distribution spatio-temporelle du glissement cosismique des séismes de L’Aquila (Mw 6.3, 2009), et de Miyagi-Oki (Mw 7.2, 2005) et de Sanriku-Oki (Mw 7.3, 2011). Ces travaux se sont basés sur des méthodes d’inversions, et différents jeux de données (accéléro
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Beldjoudi, Hamoud. "Modélisation de la source des séismes par inversion des données sismologiques et géodésiques : application aux séismes du Nord de l’Algérie." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4053/document.

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La caractérisation de la source d’un séisme se fait à partir de l’analyse des mesures des déplacements transitoires et statiques du sol, et dépend de la quantité et de la qualité de ces mesures. Nous avons travaillé sur la détermination des mécanismes au foyer des séismes modérés de Tadjena (Mw 5.0, 2006), Béni-Ilmane (Mw 5.5, 2010), Hammam Melouane (Mw 5.0, 2013), Bordj-Ménaïel (Mw 4.1, 2014), Alger (Mw 5.7, 2014) et M’ziraa (Mw 5.1, 2016). Pour cela, nous avons inversés les formes d’ondes en champ proche et régional des stations large bandes et accélérométriques du réseau sismologique algéri
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Conference papers on the topic "GPS-InSAR inversion"

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Hummel, N., K. Hindriks, K. Bisdom, A. Cilona, I. Al-Kafaji, and B. Kiani. "Unlocking New Insights into Reservoir Deformation Through Bayesian Inversion of Surveillance Data." In SPE Europe Energy Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225549-ms.

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Abstract We developed an interactive dashboard around an efficient inversion workflow to estimate spatial and temporal reservoir deformation from various geodetic displacement measurements. Our web-based application integrates surface deformation data from sources such as acoustic ranging, InSAR, GPS, gravimetry, optical leveling, and pressure monitoring transducers. The inversion algorithm produces history-matched reservoir deformation models using the Bayesian Maximum A Posterior approach. This tool enables global asset utilization, guiding engineers through a streamlined process to generate
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Li, Huixia, Wenhao Wu, Hang Guo, and Richard B. Langley. "GPS and InSAR Inversion for Coseismic Deformation Field and Slip Distribution of the Ms7.0 Jiuzhaigou Earthquake." In 2019 International Technical Meeting of The Institute of Navigation. Institute of Navigation, 2019. http://dx.doi.org/10.33012/2019.16718.

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