APA Water and Planning Network

Floods are among the most devastating natural hazards, disrupting communities and critical infrastructure worldwide. This talk presents state-of-the-art, data-driven approaches to identify, measure, and manage flood risks in urban environments. Leveraging advances in remote sensing, machine learning, and high-resolution modeling, we demonstrate how integrating diverse datasets can support hazard prediction, optimize adaptation strategies, and inform resilience planning. By bridging science and decision-making, this work offers actionable insights for managing flood risks in an era of increasing uncertainty.

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