Primary Convener:
Yanhua Xie, University of Oklahoma

Convener:
Landon Marston, Virginia Tech
Tyler Lark, University of Wisconsin - Madison
Nishan Bhattarai, University of Oklahoma

Chair:
Yanhua Xie, University of Oklahoma
Landon Marston, Virginia Tech
Tyler Lark, University of Wisconsin - Madison
Nishan Bhattarai, University of Oklahoma

Irrigated agriculture, while essential for global food security, is the largest consumer of freshwater resources. Timely, detailed information on irrigation is fundamental for growers, policymakers, and water managers to assess water demands, resolve conflicts, plan for future needs, and implement effective conservation strategies. Recent advances in geospatial data science, AI, and cloud computing have greatly improved our ability to characterize and monitor irrigation at broad scales with unprecedented spatial and temporal detail. This session invites contributions that leverage these technological developments to deepen our understanding of irrigation and its impacts from field to broad scales. Topics of interest include but are not limited to mapping irrigation practices; estimation of irrigation water use and sources; applications of irrigation datasets in climate resilience, food security, and water policy. Submissions addressing challenges such as data scarcity, model generalization, cross-region scalability, and the development of open-access datasets and tools are particularly encouraged.

Index Terms
0402 Agricultural systems
1632 Land cover change
1655 Water cycles
1842 Irrigation

Suggested Itineraries:
Science Communications
Machine Learning and AI
Open Science and Open Data
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
B - Biogeosciences
H - Hydrology

Neighborhoods:
3. Earth Covering