Understanding and managing multi-hazard risks as well as water stress in a rapidly changing geophysical system requires integrating diverse observational datasets and analytical approaches. This session emphasizes advances in the use of multi-sensor Earth observation to quantify, monitor, attribute and predict complex geophysical hazard processes, including floods, droughts, land subsidence, coastal inundation, cryospheric hazards, landslides, and compound climate extremes with strong relevance to hazard and water stress management. We also highlight how changes in the water cycle and human water use influence hazards (e.g. subsidence, flooding, or further water stress) and welcome contributions examining the impacts of a changing water cycle on geophysical system hazards. We invite contributions that leverage radar (e.g., InSAR/SAR, including NISAR), GNSS, gravimetry (GRACE/GRACE-FO), and altimetry missions (e.g., SWOT, ICESat-2), optical and airborne lidar datasets, alongside machine learning, data assimilation, and statistical approaches to fuse multi-modal datasets for near surface geophysical hazard and water stress resilience.

• G - Geodesy
• GC - Global Environmental Change
• H - Hydrology
• NH - Natural Hazards