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Stéphane Garambois

Researcher at University of Savoy

Publications -  124
Citations -  3867

Stéphane Garambois is an academic researcher from University of Savoy. The author has contributed to research in topics: Seismic noise & Ground-penetrating radar. The author has an hindex of 31, co-authored 124 publications receiving 3273 citations. Previous affiliations of Stéphane Garambois include Lawrence Berkeley National Laboratory & University of Pau and Pays de l'Adour.

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Geophysical investigation of landslides : a review

TL;DR: In this article, the authors present a current state-of-the-art on the application of surface geophysical methods to landslide characterization and focus on recent papers published in peer-reviewed international journals.
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Seismic monitoring of Séchilienne rockslide (French Alps): Analysis of seismic signals and their correlation with rainfalls

TL;DR: In this paper, the Sechilienne rockslide in the French Alps has been monitored since 1985 and the current very active volume is estimated to be up to 5 million m3, located on the border of a slowly moving mass reaching 50-100 million m 3.
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Seismoelectric wave conversions in porous media: Field measurements and transfer function analysis

TL;DR: In this paper, a series of field experiments showing the transient electric fields generated by a seismic excitation of the subsurface were conducted, and it was shown that the electric field accompanying the compressional waves is approximately proportional to the grain acceleration.
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Full waveform numerical simulations of seismoelectromagnetic wave conversions in fluid‐saturated stratified porous media

TL;DR: In this paper, a full-waveform modeling technique of coupled seismoelectromagnetic wave propagation in fluid-saturated stratified porous media is presented, where the coupling mechanism is explained by electrokinetic effects taking place at the pore level.
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Regularized seismic full waveform inversion with prior model information

TL;DR: In this paper, the authors introduce three terms in the definition of the FWI misfit function: the data misfit itself, the first-order Tikhonov regularization term acting as a smoothing operator, and a prior model norm term.