Primary Convener:
Jiaxuan Li, University of Houston

Convener:
Ethan Williams, University of California Santa Cruz
Qiushi Zhai, California Institute of Technology
Yan Yang, University of California San Diego
Loïc Viens, Los Alamos National Laboratory
Glenn Baker, AFRL/RVBYE
Robert Porritt, Sandia National Laboratories
Michal Chamarczuk, Rice University

Early Career Convener:
Qibin Shi, Rice University

Chair:
Jiaxuan Li, University of Houston
Qibin Shi, Rice University
Ethan Williams, University of California Santa Cruz
Yan Yang, University of California San Diego

Fiber-optic sensing technologies, particularly Distributed Acoustic Sensing (DAS), are transforming geophysics by enabling dense, long-range, long-duration, and cost-effective sensing across diverse environments. We invite submissions on earthquake detection and early warning, source characterization, subsurface imaging, environmental monitoring, and other applications in urban areas, volcanic systems, glaciers, permafrost, underwater, boreholes, and potential planetary environments. Topics may range from high-frequency signals from marine mammals and vessel activity to lower-frequency phenomena such as internal waves, tides, tsunamis, and quasi-static deformations caused by landslides and magma intrusions. We also welcome energy and security applications, including underground explosions, geothermal production, hydrocarbon extraction, carbon sequestration, and infrastructure monitoring. Contributions on the scalability, including real-time processing, compression, and end-to-end workflows supporting large-volume data are encouraged. While DAS is the central focus of this session, we welcome exploratory work on alternative fiber-optic sensing technologies, such as long-range systems for subsea cables, polarization sensing, or transmission-based systems.

Index Terms
7215 Earthquake source observations
7219 Seismic monitoring and test-ban treaty verification
7223 Earthquake interaction, forecasting, and prediction
7294 Seismic instruments and networks

Cross-Listed:
C - Cryosphere
H - Hydrology
V - Volcanology‚ Geochemistry and Petrology
OS - Ocean Sciences

Suggested Itineraries:
Machine Learning and AI

Co-Organized Sessions:
Natural Hazards

Neighborhoods:
2. Earth Interior
1. Science Nexus