Study on the variation patterns of sea surface oil spill characteristics based on GNSS-R under different wind speeds.

Marine oil spills severely pollute marine environments, making rapid and accurate detection crucial. However, current Global Navigation Satellite System-Reflectometry (GNSS-R) oil spill detection studies overlook the impact of sea wind, leading to false or missed detections. This study simulates the mean square slope (MSS), scattering coefficient, coherent power, and delay-Doppler map (DDM), and explores the impact of sea wind on GNSS-R oil spill detection parameters. Results indicate that at wind speeds ≤3 m/s, the differences in MSS and scattering coefficient between oil and water are minimal, but become significant at speeds >3 m/s. Oil-covered sea surfaces exhibit unusually high coherent power and DDM in spill zones compared to clean surfaces, with both metrics decreasing as wind speed rises. Finally, using Cyclone Global Navigation Satellite System (CYGNSS) data, this study validated the reliability of GNSS-R oil spill parameter variation patterns derived from simulation data, providing references for oil spill detection research.