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...

Descripció completa

Dades bibliogràfiques

Autors principals:	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:	Artigo
Idioma:	Inglês
Publicat:	Cambridge University Press 2022-09-01
Col·lecció:	Annals of Glaciology
Matèries:	Anisotropic ice arctic glaciology glaciological instruments and methods seismology subglacial sediments
Accés en línia:	https://www.cambridge.org/core/product/identifier/S0260305523000150/type/journal_article
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!