During the past decade, LiDAR, radar, multispectral and thermal sensors, as well as modern photogrammetry have become inexpensive and highly accessible. Platforms including ground-based monitoring stations, occupied and autonomous aircraft, earth-observing satellites, citizen science, and social media harvesting provide datasets with increasingly high resolution, both in time (seconds to days) and space (sub-meter), allowing for detailed observations of changes in coastal landscapes and the related nearshore and beach processes driving those changes. These advances allow for a new understanding of the patterns, rates, and causes of nearshore processes and morphodynamics. The rapid progress in machine learning, cloud computing, and data assimilation, combined with coastal monitoring from both the near-field platforms and from earth-observing satellites now offers coastal scientists and engineers with large volumes of data that can inform sustainable coastal management and future adaptation strategies, bringing coastal geosciences into an era of big data. This session will highlight scientific results that have emerged from these technologies and methods and explore challenges and plans for future remote sensing efforts. We welcome investigations from diverse physical environments, using or improving upon a variety of observation techniques, and applied to understanding or modelling coastal processes.

• Coastal and Estuarine Hydrodynamics and Sediment Processes -
• Ocean Technologies and Observatories -