Abstract:
Distributed Acoustic Sensing (DAS) is a rapidly emerging technology that uses fibre-optic cables to measure vibrations or temperature changes along the fibre. With DAS, standard telecommunication cables can be turned into seismological antennas, which opens up a plethora of new applications in geophysics and engineering. Some examples include earthquake detection, shallow subsurface characterisation, railroad monitoring, and even weevil infestation control.
In this talk, I will explain how DAS works and show a few interesting applications of DAS in seismology and beyond. Then, I will change gears a little bit and show what we can do when we combine DAS with Machine Learning. More specifically, I will detail how we can leverage the two dimensions of DAS for coherence-based signal denoising, and for solving challenging deconvolution problems in traffic analysis.
You will find the complete schedule for Njord Seminar Series fall '21 here.
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