Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning

Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning

Abstract Effective use of the wealth of information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose a semi‐supervised neural network tailored to screen DAS data related to a series of rock collapses leading to a major failure of approximate...

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Bibliographic Details
Main Authors: Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Geophysical Research Letters
Subjects:
distributed acoustic sensing
machine learning
precursors
image processing
representation learning
early warning
Online Access:https://doi.org/10.1029/2024GL110672
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https://doi.org/10.1029/2024GL110672

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