Multifractal Analysis of a Seismic Moment Distribution Obtained From InSAR Inversion

Interferometric synthetic aperture radar (InSAR) interferograms contain valuable information about the fault systems hidden beneath the surface of the Earth. In a new approach, we aim to fit InSAR ground deformation data using a distribution of multiple seismic point sources whose parameters are fou...

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Bibliographic Details
Published in:	Earth and space science (Hoboken, N.J.) Vol. 8; no. 9; pp. e2020EA001433 - n/a
Main Authors:	Saylor, Cameron, Rundle, John B., Donnellan, Andrea
Format:	Journal Article
Language:	English
Published:	United States John Wiley & Sons, Inc 01.09.2021 John Wiley and Sons Inc American Geophysical Union (AGU)
Subjects:	Algorithms Computational Geophysics Data Analysis: Algorithms and Implementation Earthquakes Fault lines genetic algorithm Geometry Informatics InSAR Inverse problems Inverse Theory inversion Mathematical Geophysics multifractal Numerical Algorithms Seismic activity Technical Reports: Methods Waveform analysis New Zealand genetic algorithm InSAR inversion multifractal
ISSN:	2333-5084, 2333-5084
Online Access:	Get full text
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