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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Egile Nagusiak:	Adam D. Booth, Poul Christoffersen, Andrew Pretorius, Joseph Chapman, Bryn Hubbard, Emma C. Smith, Sjoerd de Ridder, Andy Nowacki, Bradley Paul Lipovsky, Marine Denolle
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Cambridge University Press 2022-09-01
Saila:	Annals of Glaciology
Gaiak:	Anisotropic ice arctic glaciology glaciological instruments and methods seismology subglacial sediments
Sarrera elektronikoa:	https://www.cambridge.org/core/product/identifier/S0260305523000150/type/journal_article
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