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...
Published in: | The Cryosphere |
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Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2024
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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 |