The increasing frequency and intensity of climate-driven natural hazards, including landslides, floods, and permafrost degradation, necessitate a shift from static site characterisation to dynamic, time-lapse monitoring. Near-surface geophysics serves as a critical bridge in this transition, offering non-invasive, high-resolution insights into subsurface processes that precede catastrophic events. This session highlights the latest advancements in near surface geophysical characterisation and 4D monitoring frameworks, focusing on the integration of automated acquisition systems with real-time data streams. We seek contributions that showcase innovative uses of seismic, electrical, and electromagnetic methods coupled with Internet of Things (IoT) sensor networks and machine learning for automated change detection. By exploring the synergy between near-surface geophysics and predictive Earth system modeling, this session aims to define the next generation of early-warning systems designed to protect critical infrastructure and enhance community resilience in a rapidly changing environment.

• EP - Earth and Planetary Surface Processes
• H - Hydrology
• NH - Natural Hazards