We develop a linear inversion technique for measuring the modal composition and directionality of ambient seismic noise. The technique draws from similar techniques used in astrophysics and gravitational-wave physics, and relies on measuring cross-correlations between different seismometer channels in a seismometer array. We characterize the sensitivity and the angular resolution of this technique using a series of simulations and real-world tests. We then apply the technique to data acquired by the three-dimensional seismometer array at the Homestake mine in Lead, SD, to estimate the composition and directionality of the seismic noise at microseism frequencies. We show that, at times of low-microseism amplitudes, noise is dominated by body...
Interstation cross correlations of ambient seismic noise from 1 year of continuous data at periods b...
This thesis deals with the development and application of a novel method for seismic interferometry,...
An ever-present feature in seismic data, noise affects outcomes of processing and imaging algorithms...
We develop a linear inversion technique for measuring the modal composition and directionality of am...
International audienceWe quantify, analyze, and characterize the frequency-dependent microseismic no...
[1] We quantify, analyze, and characterize the frequency‐dependent microseismic noise recorded by wo...
A geoscientist yearns to learn more about the subsurface and one way of characterizing the subsurfac...
We develop and apply a novel technique to image ambient seismic noise sources. It is based on measur...
The increased use of ambient seismic noise for seismic imaging requires better understanding of the ...
International audienceGreen's functions can be retrieved between receivers from the correlation of a...
International audienceWe evaluate, by numerical tests, whether surface-wave attenuation can be deter...
We formulate a full wave field inversion for ambient seismic noise recorded by large and dense seism...
Several studies have shown that the dynamic response of landslide prone slopes to seismic shaking ca...
International audienceThis study deals with surface waves extracted from microseismic noise in the (...
The vertical directionality of ambient noise is strongly influenced by seabed reflections. Therefore...
Interstation cross correlations of ambient seismic noise from 1 year of continuous data at periods b...
This thesis deals with the development and application of a novel method for seismic interferometry,...
An ever-present feature in seismic data, noise affects outcomes of processing and imaging algorithms...
We develop a linear inversion technique for measuring the modal composition and directionality of am...
International audienceWe quantify, analyze, and characterize the frequency-dependent microseismic no...
[1] We quantify, analyze, and characterize the frequency‐dependent microseismic noise recorded by wo...
A geoscientist yearns to learn more about the subsurface and one way of characterizing the subsurfac...
We develop and apply a novel technique to image ambient seismic noise sources. It is based on measur...
The increased use of ambient seismic noise for seismic imaging requires better understanding of the ...
International audienceGreen's functions can be retrieved between receivers from the correlation of a...
International audienceWe evaluate, by numerical tests, whether surface-wave attenuation can be deter...
We formulate a full wave field inversion for ambient seismic noise recorded by large and dense seism...
Several studies have shown that the dynamic response of landslide prone slopes to seismic shaking ca...
International audienceThis study deals with surface waves extracted from microseismic noise in the (...
The vertical directionality of ambient noise is strongly influenced by seabed reflections. Therefore...
Interstation cross correlations of ambient seismic noise from 1 year of continuous data at periods b...
This thesis deals with the development and application of a novel method for seismic interferometry,...
An ever-present feature in seismic data, noise affects outcomes of processing and imaging algorithms...