Work

Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning

Year: 2026

Type: article

Abstract: Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning, Willis, Rachel M, Grimm, Julius, Stanek, Frantis̆ek, Edme, Pascal, Fichtner, Andreas, Lipovsky, Bradley, Paitz, Patrick, Walter, Fabian, Siegfried, Matthew R, Martin, Eileen R

Source: Machine Learning Earth

DOI: 10.1088/3049-4753/ae375b

Authors: Rachel M Willis, Julius Grimm, Frantis̆ek Stanek, Pascal Edme, Andreas Fichtner, Bradley Lipovsky, Patrick Paitz, Fabian Walter, Matthew R Siegfried, Eileen R Martin

Institutions: Colorado School of Mines, Institut des Sciences de la Terre, Université Grenoble Alpes, Silixa (United Kingdom), ETH Zurich, University of Washington, Swiss Federal Institute for Forest, Snow and Landscape Research

Language: English

Topic: Cryospheric studies and observations

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,125

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Award: MONITORING ALPINE MASS MOVEMENTS WITH DISTRIBUTED ACOUSTIC SENSING

OpenAlex ID: W7123762479

FWCI: 3.061

Cites: 26

Cited by: 2

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