Marine oil spills pose major risks to ocean ecosystems and offshore operations. Traditional monitoring relies on optical or SAR remote sensing, but performance is limited by weather, illumination, and wind conditions.

GNSS-R (Global Navigation Satellite System Reflectometry) is a passive, all-weather microwave remote sensing technique that has rapidly advanced in ocean observation. Reflected GNSS signals contain information on sea-surface roughness and dielectric changes, making them highly sensitive to the smoothing effect caused by surface oil films.

This competition provides simulated and experimental GNSS-R Delay-Doppler Maps (DDMs) to advance automated oil-spill detection. Participants must determine the presence of oil and estimate film thickness using DDM images and limited environmental parameters.