Primary Convener:
Ethan Shavers, United States Geological Survey

Convener:
George Allen, Virginia Tech
Jérôme Benveniste, COSPAR
Jessica Fayne, University of Michigan Ann Arbor

Early Career Convener:
Ann Scheliga, University of California Berkeley

Chair:
Jérôme Benveniste, COSPAR
Ann Scheliga, University of California Berkeley

Accurately measuring inland water–from rivers, lakes, reservoirs, and wetlands–is essential for assessing and managing water resources, and understanding the global hydrologic cycle. Remote sensing techniques, both passive and active, offer the potential to address knowledge gaps by providing near real-time observations and long-term data records across different scales (local, regional, global), particularly important in data-sparse regions. Representative data products include lake and reservoir water levels and volumes, river levels and flows, wetland extents and vegetation dynamics, coastal flooding maps, and water quality properties. We are soliciting abstracts that employ remote sensing data to study inland water processes and support the development of novel applications and methods (e.g., new algorithms/datasets leveraging ML/DL, integration with models and in situ data) for exploring the roles of these inland water bodies, both in terms of quantity and quality, in water management, flood and drought mitigation, hydrologic cycles, ecosystem services, and land-atmosphere interactions.

Index Terms
1855 Remote sensing
1857 Reservoirs (surface)
1860 Streamflow
1890 Wetlands

Cross-Listed:
NH - Natural Hazards
G - Geodesy
EP - Earth and Planetary Surface Processes
GC - Global Environmental Change

Neighborhoods:
3. Earth Covering