Environment and Climate Change Canada has developed an artificial intelligence system to automatically detect changes in inland water quality using satellite and remote sensing data. The system is currently in development and applies machine learning and probabilistic modeling techniques to analyze multispectral, hyperspectral, and synthetic aperture radar data from multiple sources including Copernicus Sentinel-1, Planet Labs, Wyvern, and water quality monitoring buoys operated by ECCC.
This system is designed for use by Government of Canada employees and does not involve the collection or processing of personal information. By automating the detection of water quality degradation, the system aims to enable faster identification of environmental changes and support decision-making for water resource management and environmental protection.
The system is currently under development as part of the Government of Canada's efforts to apply emerging technologies to environmental monitoring. Users should understand that this is an experimental system designed to assist in identifying water quality changes from remote sensing data, and human expertise remains essential for verification and decision-making.
