Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part B: Unsupervised learning for source process characterisation
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...
Main Authors: | , , , , , |
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Format: | Text |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://doi.org/10.5194/egusphere-2023-1341 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1341/ |