AI supercharges satellite data for proactive disaster risk management in the Philippines

The Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA)’s Nathaniel T Servando highlights key takeaways from the country’s success in using AI on satellite data to build up disaster resilience capabilities.

Explaining why AI helps in improving forecasting, Servando notes that traditional methods of forecasting have built in limitations, including uncertainty, short lead times for extreme events, and local-scale variability.

Sharing about the progress of the agency’s AI projects, he says that the improvements have strengthened the Philippines’ early warning system and disaster impact management. 

One of the agency’s ongoing projects is the GaBAI Project, also known as AI-Weather Forecasting for a Resilient Philippines (AI4RP).

Launched in 2024, in partnership with the Advanced Science and Technology Institute (ASTI), the project aims to develop a high-resolution, AI-driven weather-forecasting model tailored to the Philippine environment.

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