Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 2: Unsupervised learning for source process characterization

Given the high number and diversity of events in a typical cryoseismic dataset, in particular those recorded on ice sheet margins, it is desirable to use a semi-automated method of grouping similar events for reconnaissance and ongoing analysis. We present a workflow for employing semi-unsupervised...

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Bibliographic Details
Published in:The Cryosphere
Main Authors: Latto, Rebecca B., Turner, Ross J., Reading, Anya M., Cook, Sue, Kulessa, Bernd, Winberry, J. Paul
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2024
Subjects:
Online Access:https://doi.org/10.5194/tc-18-2081-2024
https://noa.gwlb.de/receive/cop_mods_00073330
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00071503/tc-18-2081-2024.pdf
https://tc.copernicus.org/articles/18/2081/2024/tc-18-2081-2024.pdf