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Alan G. Green
Researcher at ETH Zurich
Publications - 262
Citations - 10031
Alan G. Green is an academic researcher from ETH Zurich. The author has contributed to research in topics: Crust & Seismic refraction. The author has an hindex of 55, co-authored 262 publications receiving 9467 citations. Previous affiliations of Alan G. Green include University of Adelaide & Geological Survey of Canada.
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Experimental design: Electrical resistivity data sets that provide optimum subsurface information
TL;DR: An experimental design procedure is developed to identify suites of electrode configurations that provide subsurfaces information according to predefined optimization criteria and includes a goodness function that ranks the sensitivity of every possible electrode configuration to changes in the subsurface parameters.
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LITHOPROBE-southern Vancouver Island: Cenozoic subduction complex imaged by deep seismic reflections: Reply
Ron M. Clowes,Mark T. Brandon,Alan G. Green,C J Yorath,A. Sutherland Brown,Ernest R. Kanasewich,C. J. Spencer +6 more
TL;DR: The LITHOPROBE seismic reflection project on Vancouver Island was designed to study the large-scale structure of several accreted terranes exposed on the island and to determine the geometry and structural characteristics of the subducting Juan de Fuca plate as discussed by the authors.
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Application of a new 2D time-domain full-waveform inversion scheme to crosshole radar data
TL;DR: In this article, the authors proposed a full-waveform inversion scheme based on a finite-difference time-domain solution of Maxwell's equations to increase the resolution of radar tomograms.
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A New Vector Waveform Inversion Algorithm for Simultaneous Updating of Conductivity and Permittivity Parameters From Combination Crosshole/Borehole-to-Surface GPR Data
Giovanni Angelo Meles,Jan van der Kruk,Stewart Greenhalgh,J.R. Ernst,Hansruedi Maurer,Alan G. Green +5 more
TL;DR: An iterative gradient method in which the steepest descent direction, used to update iteratively the permittivity and conductivity distributions in an optimal way, is found by cross-correlating the forward vector wavefield and the backward-propagated vectorial residual wavefield.
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Full-Waveform Inversion of Crosshole Radar Data Based on 2-D Finite-Difference Time-Domain Solutions of Maxwell's Equations
TL;DR: A full-waveform inversion scheme that is based on a finite-difference time-domain solution of Maxwell's equations is introduced and is shown to be remarkably robust to the presence of uncorrelated noise in the radar data.