A multi-decadal view of seismic methods for detecting precursors of magma movement and eruption

BA Chouet, RS Matoza - Journal of Volcanology and Geothermal Research, 2013 - Elsevier
With the emergence of portable broadband seismic instrumentation, availability of digital
networks with wide dynamic range, and development of new powerful analysis techniques …

Seismic Interferometry: Tutorial on seismic interferometry: Part 1—Basic principles and applications

K Wapenaar, D Draganov, R Snieder, X Campman… - 2010 - pubs.geoscienceworld.org
Seismic interferometry involves the crosscorrelation of responses at different receivers to
obtain the Green's function between these receivers. For the simple situation of an impulsive …

Feedback-based wavefront shaping

IM Vellekoop - Optics express, 2015 - opg.optica.org
Light scattering was thought to be the fundamental limitation for the depth at which optical
imaging methods can retain their resolution and sensitivity. However, it was shown that light …

[图书][B] Seismic wave propagation and scattering in the heterogeneous earth

H Sato, MC Fehler, T Maeda - 2012 - Springer
The structure of the earth has been extensively studied using seismic waves generated by
natural earthquakes and man-made sources. In classical seismology, the earth is …

Green's function representations for seismic interferometry

K Wapenaar, J Fokkema - Geophysics, 2006 - library.seg.org
The term seismic interferometry refers to the principle of generating new seismic responses
by crosscorrelating seismic observations at different receiver locations. The first version of …

[图书][B] Seismic interferometry

GT Schuster - 2009 - books.google.com
Seismic interferometry is an exciting new field in geophysics utilizing multiple scattering
events to provide unprecedented views of the Earth's subsurface. This is the first book to …

Seismic tomography with the reversible jump algorithm

T Bodin, M Sambridge - Geophysical Journal International, 2009 - academic.oup.com
The reversible jump algorithm is a statistical method for Bayesian inference with a variable
number of unknowns. Here, we apply this method to the seismic tomography problem. The …

Environmental seismology: What can we learn on earth surface processes with ambient noise?

E Larose, S Carrière, C Voisin, P Bottelin… - Journal of Applied …, 2015 - Elsevier
Environmental seismology consists in studying the mechanical vibrations that originate from,
or that have been affected by external causes, that is to say causes outside the solid Earth …

Electromagnetic density of states in complex plasmonic systems

R Carminati, A Cazé, D Cao, F Peragut… - Surface Science …, 2015 - Elsevier
Nanostructured materials offer the possibility to tailor light–matter interaction at scales below
the wavelength. Metallic nanostructures benefit from the excitation of surface plasmons that …

Ambient seismic noise monitoring of a clay landslide: Toward failure prediction

G Mainsant, E Larose, C Brönnimann… - Journal of …, 2012 - Wiley Online Library
Given that clay‐rich landslides may become mobilized, leading to rapid mass movements
(earthflows and debris flows), they pose critical problems in risk management worldwide …