P2.42s Advances in Long-term Water Quality Monitoring through Data Fusion

This project aims to develop a machine learning (ML) model that fuses satellite imagery and in-situ data for water monitoring and analysis for the benefit of water and environmental management. The result of this study will enable national monitoring of water bodies by using data fusion from satellite images and in-situ data; thus, limiting the risk of bush fires damaging ground-based water monitoring infrastructure.