Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis

Adam Booth; Poul Christoffersen; Andrew Pretorius; Joseph Chapman; Bryn Hubbard; Emma Smith; Sjoerd de Ridder; Andy Nowacki; Bradley Lipovsky; Marine Denolle

doi:10.31223/X58W7H

Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis

Adam Booth, Poul Christoffersen, Andrew Pretorius, Joseph Chapman, Bryn Hubbard, Emma Smith, Sjoerd de Ridder, Andy Nowacki, Bradley Lipovsky, Marine Denolle

Department of Geography and Earth Sciences

Research output: Working paper › Preprint

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Original language	English
Publisher	Earth ArXiv
DOIs	https://doi.org/10.31223/X58W7H
Publication status	Published - 10 Oct 2022

Keywords

seismology
machine learning
glaciology
Greenland
distributed acoustic sending
DAS
fibre optic

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10.31223/X58W7HLicence: CC BY

booth-et-al-annals-of-glaciology-letterSubmitted manuscript, 1.68 MBLicence: CC BY

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AU - Chapman, Joseph

AU - Hubbard, Bryn

AU - Smith, Emma

AU - Ridder, Sjoerd de

AU - Nowacki, Andy

AU - Lipovsky, Bradley

AU - Denolle, Marine

PY - 2022/10/10

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KW - seismology

KW - machine learning

KW - glaciology

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KW - distributed acoustic sending

KW - DAS

KW - fibre optic

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Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis

Keywords

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