Traditional geophysical networks often struggle with the "spatial gap"—the inability to capture high-resolution data in remote, rugged, or underwater environments. Distributed Acoustic Sensing (DAS), and other fiber-based techniques (e.g. DTS), have fundamentally shifted this paradigm. Fibreoptic sensing not only allows for efficient deployments that sample with unprecedented spatial and temporal density, but also to turn existing telecommunications infrastructure into environmental sensors.

This session invites contributions that explore the application of any fiberoptic sensing methods to monitor any natural processes. In particular, this session aims to highlight how increased spatial and temporal sampling can revolutionise our understanding of Earth’s dynamic systems, from the cryosphere to the deep ocean.

Potential topics include (but are not limited to):

· Cryospheric Monitoring: Studying glacial movement, calving events, and permafrost degradation.
· Hydrological Processes: Monitoring groundwater fluctuations, river discharge, and bedload transport.
· Volcanic systems: Imaging and monitoring magma transport and storage, and volcanic hazards in general.
· Oceanic and Coastal Sensing: Utilizing subsea cables for ocean bottom seismology, internal wave detection, and storm surge monitoring.
· Geohazard Observation: Early warning and characterization of landslides, debris flows, avalanches, and other alpine mass movement activity.
· Ambient Noise based studies and novel Signal Processing techniques: Innovative methods for extracting environmental signals from complex, noisy datasets.

We hope that the session will support a cross-disciplinary dialogue, exploring how fiberoptics can move beyond traditional seismology to become a tool for contributing to environmental studies and monitoring strategies more broadly. We encourage submissions detailing field experiments, theoretical modelling, and the integration of fibreoptic sensing with traditional or other sensor networks.