Characterising sediment thickness beneath a Greenlandic outlet glacier using distributed acoustic sensing: preliminary observations and progress towards an efficient machine learning approach

Characterising sediment thickness beneath a Greenlandic outlet glacier using distributed acoustic sensing: preliminary observations and progress towards an efficient machine learning approach

Distributed Acoustic Sensing (DAS) is increasingly recognised as a valuable tool for glaciological seismic applications, although analysing the large data volumes generated in acquisitions poses computational challenges. We show the potential of active-source DAS to image and characterise subglacial...

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Bibliographic Details
Main Authors: Adam D. Booth, Poul Christoffersen, Andrew Pretorius, Joseph Chapman, Bryn Hubbard, Emma C. Smith, Sjoerd de Ridder, Andy Nowacki, Bradley Paul Lipovsky, Marine Denolle
Format: Article
Language:English
Published: Cambridge University Press 2022-09-01
Series:Annals of Glaciology
Subjects:
Anisotropic ice
arctic glaciology
glaciological instruments and methods
seismology
subglacial sediments
Online Access:https://www.cambridge.org/core/product/identifier/S0260305523000150/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S0260305523000150/type/journal_article

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