This study investigates the use of monostatic and bistatic Synthetic Aperture Radar (SAR) geometries, as well as key parameters for the observation and retrieval of marine wind and current fields. For this purpose, the polarimetric model developed by Fois [1]- [2] has been employed. The model is based on the Second-order Small Slope Approximation (SSA2), to simulate and analyze the Doppler shift and the Normalized Radar Cross Section (NRCS) over marine surfaces for X-band SAR acquisitions, under varying wind conditions. The model's performance was assessed for both monostatic and bistatic radar configurations, with specific focus on how baseline variations affect the results in the bistatic case. The outcomes demonstrate the model's capability to extract valuable information from SAR data in marine environments, supporting the development of more advanced SAR techniques for future remote sensing applications.
Marine Surface Analysis Using Monostatic and Bistatic SAR for Wind and Sea Surface Velocity Mapping: PLATiNO-1 mission Insights / Petrossi, A., Mastro, P., Carolis, G.D., Fornaro, G., Zamparelli, V., Verde, S., Renga, A., Blasone, G.P., Tapete, D., Zoffoli, S.. - (2025), pp. 317-321. (IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2025 ita 2025) [10.1109/MetroSea66681.2025.11245769].
Marine Surface Analysis Using Monostatic and Bistatic SAR for Wind and Sea Surface Velocity Mapping: PLATiNO-1 mission Insights
Petrossi A.;Renga A.;
2025
Abstract
This study investigates the use of monostatic and bistatic Synthetic Aperture Radar (SAR) geometries, as well as key parameters for the observation and retrieval of marine wind and current fields. For this purpose, the polarimetric model developed by Fois [1]- [2] has been employed. The model is based on the Second-order Small Slope Approximation (SSA2), to simulate and analyze the Doppler shift and the Normalized Radar Cross Section (NRCS) over marine surfaces for X-band SAR acquisitions, under varying wind conditions. The model's performance was assessed for both monostatic and bistatic radar configurations, with specific focus on how baseline variations affect the results in the bistatic case. The outcomes demonstrate the model's capability to extract valuable information from SAR data in marine environments, supporting the development of more advanced SAR techniques for future remote sensing applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
