2018
DOI: 10.1002/2017jb014863
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“3D_Fault_Offsets,” a Matlab Code to Automatically Measure Lateral and Vertical Fault Offsets in Topographic Data: Application to San Andreas, Owens Valley, and Hope Faults

Abstract: Measuring fault offsets preserved at the ground surface is of primary importance to recover earthquake and long‐term slip distributions and understand fault mechanics. The recent explosion of high‐resolution topographic data, such as Lidar and photogrammetric digital elevation models, offers an unprecedented opportunity to measure dense collections of fault offsets. We have developed a new Matlab code, 3D_Fault_Offsets, to automate these measurements. In topographic data, 3D_Fault_Offsets mathematically identi… Show more

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Cited by 36 publications
(55 citation statements)
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References 60 publications
(143 reference statements)
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“…Delineation of various terrace features and their offsets at the Xuanma Wan site by the method in Stewart et al ().…”
Section: Resultsmentioning
confidence: 73%
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“…Delineation of various terrace features and their offsets at the Xuanma Wan site by the method in Stewart et al ().…”
Section: Resultsmentioning
confidence: 73%
“…Reconstruction showing offset measurements of the base of T4/T1′ riser, (a) the lower bound of 58 m by a far‐field fault‐perpendicular line projection and (b) the upper bound of 70 m by the method in Stewart et al ().…”
Section: Resultsmentioning
confidence: 80%
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“…Obtaining a sufficient and precise along-fault offset data set is vital to identify long-term earthquake recurrence behavior. Furthermore, knowledge of alongfault slip distribution during a single earthquake or multiple earthquakes is important for other reasons, including a better understanding of the relationship between earthquake size and coseismic displacements (e.g., Peltzer and Tapponnier, 1988;Tapponnier et al, 2001;Manighetti et al, 2005;Li et al, 2012;Stewart et al, 2018) and fault kinematics and fault mechanics (e.g., Armijo et al, 1989;Van der Woerd et al, 1998;Gaudemer et al, 1995;Manighetti et al, 2001;Replumaz et al, 2001;Van Der Woerd et al, 2002;Hubert-Ferrari et al, 2002;Manighetti et al, 2005;Stewart et al, 2018).…”
Section: ■ Introductionmentioning
confidence: 99%