Surface water processes play an essential role in Earth systems. However, these processes are not fully understood at regional to global scales. Passive and active remote sensing offer the potential to address knowledge gaps in surface water entities, including rivers, lakes, reservoirs and wetlands. Multi-satellite remote sensing data can not only facilitate an improved understanding of the long term variability and trends of surface water processes, but can also provide observations on a near real-time basis for monitoring and prediction, particularly in data-sparse regions.

We are soliciting abstracts that employ remote sensing data and approaches to study surface water processes (e.g., river discharge, lake volume variation, wetland inundation, floods), and support the development of novel applications (e.g., new algorithms/datasets, integration with models). The session focuses on, but is not limited to, exploring the roles of surface water bodies and wetlands in water management, hydrological cycles, ecosystem services, and land-atmosphere interactions.

• AMS: American Meteorological Society -
• ASPRS: American Society for Photogrammetry and Remote Sensing -
• EGU: European Geosciences Union -
• WCRP: World Climate Research Programme -