Mapping and Modelling Hydroclimate Extremes Using Remote Sensing and Advanced Geospatial Techniques

Dear Colleagues,

Hydroclimate extremes, particularly extreme floods, are increasing in frequency and intensity due to climate change and landscape alterations. These events pose major threats to lives, infrastructure, and ecosystems and call for robust methods to understand, monitor, and predict their impacts. This Special Issue invites original research and reviews focusing on mapping, modeling, and assessing extreme flood events, emphasizing integrating remote sensing, advanced geospatial analysis, and hydrological and hydrodynamic modeling techniques.

We seek contributions that leverage satellite data (e.g., Sentinel, SWOT, MODIS), UAV-based observations, LiDAR, and SAR to detect, map, and quantify flood extents, water levels, and landscape responses. Studies employing data assimilation, AI/ML-based modeling, and coupling remote sensing with hydrodynamic simulations to enhance flood prediction and decision-making are highly encouraged.

The Special Issue will foster cross-disciplinary research addressing challenges in flood risk mapping, early warning systems, and nature-based solutions. We welcome submissions covering a range of scales—from catchment to continental—and geographic contexts, particularly in data-scarce or climate-sensitive regions.

Dr. Ben Jarihani
Dr. Beata Calka
Dr. Khalil Valizadeh Kamran
Guest Editors

Manuscript Submission Information

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