Recent advances in satellite and airborne remote sensing are transforming our ability to observe coastal and estuarine systems across spatial and temporal scales. Similarly, numerical models ranging from standalone hydrologic / hydrodynamic models to fully coupled sediment transport, morphodynamic, wave, and water quality models are increasingly used to understand and predict coastal processes under changing climatic conditions.

This session invites contributions that bridge observations and modeling by integrating multi-sensor remote sensing data into modeling workflows. Topics include, but are not limited to, the use of water surface elevation, bathymetry, and water quality proxies derived from satellites (SWOT, NISAR, ICESat-2, Sentinel 1/ 2, etc.) and airborne platforms.

Contributions may address model calibration / validation using field observations, data assimilation, machine learning, uncertainty quantification, and hybrid modeling. Applications spanning estuaries, deltas, wetlands, rivers, and coastal systems are welcome, including studies focused on flooding, sediment dynamics, ecosystem processes, water quality, and future predictions.

• EP - Earth and Planetary Surface Processes
• H - Hydrology