Project NOAH Deepens Its AI Push to Map Flooding in the Philippines
Project NOAH is expanding its use of artificial intelligence and high-resolution modeling to forecast typhoon-driven flooding across the Philippines with greater precision, including localized assessments that can guide action down to the barangay level. The upgrade comes as the Department of Budget and Management released PHP1 billion to the University of the Philippines System to strengthen the program’s AI-powered flood forecasting, real-time hazard monitoring, and disaster prevention capabilities.
AI-driven flood forecasting
Project NOAH, managed by the UP Resilience Institute, now combines AI-enhanced modeling, LiDAR mapping, and data analytics to generate predictive flood scenarios and real-time hazard assessments. According to project officials, the system can forecast areas likely to be flooded about a day in advance, giving local governments more time to prepare evacuations and response efforts.
The program is also using computer simulations to test proposed flood-control projects before construction, helping authorities evaluate whether drainage systems, pump stations, detention basins, and other interventions will actually reduce flooding. That simulation work is expected to improve planning and reduce the risk of spending on ineffective infrastructure.
Why the barangay-level detail matters
Barangay-level mapping is significant because flood risk in the Philippines can vary sharply from one community to the next. Project NOAH’s hazard maps and prediction tools are designed to show not just where water may rise, but which communities, roads, and evacuation routes could be affected. That level of precision can help local governments target relief, issue warnings faster, and prioritize vulnerable areas before a storm makes landfall.
What the funding supports
The new funding will be used for research services, technical and scientific equipment, specialized personnel, and operational support systems. Officials say part of the investment will also support LiDAR-equipped drones and regional mapping work through state universities and colleges. The goal is to give the country stronger tools for anticipating floods and other hazards before disasters escalate.
Bigger picture
Project NOAH has long been one of the Philippines’ most visible disaster risk reduction platforms, offering open-access hazard maps for floods, landslides, and storm surges. The current AI upgrade signals a shift toward faster, more localized, and more predictive disaster intelligence, with the promise of earlier warnings and better preparedness for climate-driven extremes.
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