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...
| Published in: | Annals of Glaciology |
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| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2022-09-01
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| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0260305523000150/type/journal_article |
