This session will provide a platform for showcasing state-of-the-art techniques in the use of remote sensing, AI and physics-based models to address hydro-climatic extremes. Participants will gain insights into how machine learning algorithms, data mining approaches, physical models and satellite data integration can significantly enhance our predictive capabilities for floods, droughts, heatwaves, storms, landslides, and other climate-induced hazards. The session will highlight innovative applications and real-world case studies that demonstrate how these technologies can be applied for disaster risk reduction, emergency response, and climate adaptation. Through discussions on the latest methodologies and practical applications, the session will facilitate cross-disciplinary collaboration between remote sensing experts, climate scientists, AI researchers, hydrologists, and policy makers.
Key Themes:
Remote Sensing and AI Synergies: The integration of satellite observations and machine learning models to enhance the detection, monitoring, and prediction of hydro-climatic extremes.
Data Mining Techniques for Climate Extremes: Harnessing the power of data mining to uncover hidden patterns in large-scale climate data, improving risk assessment and predictive capabilities.
Hybrid Modeling Approaches: Combining physical-based hydrological and climatological models with AI-driven simulations to offer more precise, real-time predictions.
AI for Early Warning Systems: How machine learning models are being employed to build more accurate early warning systems for various hydro-climatic hazards, including floods, droughts, heatwaves, and tropical storms.
Real-Time Risk Assessment: The use of AI to assess risks associated with hydro-climatic extremes, helping policymakers and disaster management agencies to make data-driven decisions quickly and effectively.
Predicting Long-Term Hydro-Climatic Impacts: AI applications in understanding the long-term effects of climate change on water resources, agriculture, and infrastructure, allowing for more sustainable planning and management.
Physics Modelling Based approaches: Physics based hydrological and hydrodynamics models in understanding the flood and drought complexities.
Hydro-climatic Extreme Events: Understanding the impacts of a range of hydro-climatic events, including: Flooding, Droughts, Heatwaves, Storms and Cyclones, Landslides, Wildfires.