Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data
Pioneering efforts well studied the deformation decomposition of single earthquake using a pair of ascending (ASC) and descending (DES) track interferometric synthetic aperture radar (InSAR) data. However, deformation decomposition of sequent events is rarely discussed and hard to implement. That...
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sg-ntu-dr.10356-1745792024-04-09T15:39:28Z Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data Li, Zhen Xu, Shan-Shan Ma, Zhangfeng Earth Observatory of Singapore Earth and Environmental Sciences Cascading triggering rupture Central Greece earthquake sequence Pioneering efforts well studied the deformation decomposition of single earthquake using a pair of ascending (ASC) and descending (DES) track interferometric synthetic aperture radar (InSAR) data. However, deformation decomposition of sequent events is rarely discussed and hard to implement. That's because it's hard to ensure deformations related to each earthquake can be recorded by a pair of ASC and DES track data. Three sequent earthquakes (Mw>5.5) just hit Central Greece in March 2021, and this earthquake sequence provides us with a perfect case to study 2-D (east-west and up-down) deformation decomposition when the mentioned premise cannot be satisfied. In this context, we proposed a Multi-track and Multi-temporal 2-D (MTMT2-D) method. Its novelty and behind rationale are to decompose 2-D deformations of each event through fusing multitrack and multitemporal interferograms. Based on the decomposed deformations, we invert the slip distribution of three earthquakes respectively. We found that the decomposed deformations can better constrain the fault geometry than the single InSAR interferogram. Furthermore, our geodetic inversion results also suggest a domino-like triggering rupture process for this earthquake sequence. It indicates that our MTMT2-D method can potentially reveal more details about earthquake sequence. Published version This work was supported in part by the State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, CAS, Wuhan, China, under Grant SKLGED2021-2-7 in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX21_0528, and in part by the China Scholarship Council 202006710013. 2024-04-03T02:29:22Z 2024-04-03T02:29:22Z 2023 Journal Article Li, Z., Xu, S. & Ma, Z. (2023). Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 2741-2752. https://dx.doi.org/10.1109/JSTARS.2023.3257234 1939-1404 https://hdl.handle.net/10356/174579 10.1109/JSTARS.2023.3257234 2-s2.0-85151349865 16 2741 2752 en IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing © The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ application/pdf |
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Earth and Environmental Sciences Cascading triggering rupture Central Greece earthquake sequence Li, Zhen Xu, Shan-Shan Ma, Zhangfeng Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data |
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Pioneering efforts well studied the deformation decomposition of single earthquake using a pair of ascending (ASC) and descending (DES) track interferometric synthetic aperture radar (InSAR) data. However, deformation decomposition of sequent events is rarely discussed and hard to implement. That's because it's hard to ensure deformations related to each earthquake can be recorded by a pair of ASC and DES track data. Three sequent earthquakes (Mw>5.5) just hit Central Greece in March 2021, and this earthquake sequence provides us with a perfect case to study 2-D (east-west and up-down) deformation decomposition when the mentioned premise cannot be satisfied. In this context, we proposed a Multi-track and Multi-temporal 2-D (MTMT2-D) method. Its novelty and behind rationale are to decompose 2-D deformations of each event through fusing multitrack and multitemporal interferograms. Based on the decomposed deformations, we invert the slip distribution of three earthquakes respectively. We found that the decomposed deformations can better constrain the fault geometry than the single InSAR interferogram. Furthermore, our geodetic inversion results also suggest a domino-like triggering rupture process for this earthquake sequence. It indicates that our MTMT2-D method can potentially reveal more details about earthquake sequence. |
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Earth Observatory of Singapore |
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Earth Observatory of Singapore Li, Zhen Xu, Shan-Shan Ma, Zhangfeng |
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Li, Zhen Xu, Shan-Shan Ma, Zhangfeng |
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Li, Zhen |
title |
Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data |
title_short |
Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data |
title_full |
Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data |
title_fullStr |
Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data |
title_full_unstemmed |
Space geodetic views on the 2021 central Greece earthquake sequence: 2D deformation maps decomposed from multi-track and multi-temporal sentinel-1 InSAR data |
title_sort |
space geodetic views on the 2021 central greece earthquake sequence: 2d deformation maps decomposed from multi-track and multi-temporal sentinel-1 insar data |
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2024 |
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https://hdl.handle.net/10356/174579 |
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1800916356368957440 |