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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Adam D. Booth, Poul Christoffersen, Andrew Pretorius, Joseph Chapman, Bryn Hubbard, Emma C. Smith, Sjoerd de Ridder, Andy Nowacki, Bradley Paul Lipovsky, Marine Denolle
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Cambridge University Press 2022-09-01
سلاسل:	Annals of Glaciology
الموضوعات:	Anisotropic ice arctic glaciology glaciological instruments and methods seismology subglacial sediments
الوصول للمادة أونلاين:	https://www.cambridge.org/core/product/identifier/S0260305523000150/type/journal_article
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!