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...

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Bibliographic Details
Main Authors: Latto, Rebecca B., Turner, Ross J., Reading, Anya M., Cook, Sue, Kulessa, Bernd, Winberry, J. Paul
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-1341
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1341/