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In recent years, drone-based Synthetic Aperture Radar (SAR) systems have emerged as flexible and cost-efficient solutions for detecting changes in the Earth's surface, retrieving topographic data, or detecting ground displacement processes in localized areas, among other applications. These systems offer a unique combination of short and versatile revisit times and flexible acquisition geometries that are not achievable with space-borne, airborne, or ground-based SAR sensors. However, due to platform limitations and flight stability issues, they also present significant challenges regarding instrument design and data processing, particularly when generating interferometric repeat-pass datasets. This paper demonstrates the feasibility of repeat-pass interferometry using a Ku-band drone-based SAR system. The system integrates a dual-channel Ku-band Frequency Modulated Continuous Wave (FMCW) radar with cross-track single-pass interferometric capabilities, mounted on a drone platform. The proposed repeat-pass interferometric processing chain leverages an accurate Digital Elevation Model (DEM), generated from the single-pass interferograms, to precisely coregister the entire stack of acquisitions, thereby producing repeat-pass interferograms free from residual motion errors. The results underscore the potential of this system and the processing chain proposed for generating multi-temporal repeat-pass stacks suitable for repeat-pass applications. [ABSTRACT FROM AUTHOR]

In this study, the north-western Pacific Ocean of Kuroshio region is selected as the experimental area to analyze the mesoscale eddies observation abilities of Sentinel-3A SRAL, including the independent detection abilities of Sentinel-3A SRAL and the improvement of mesoscale eddies detection abilities by data fusion with other satellite altimetry data. The Sentinel-3A SRAL data are mapped by the spatial-temporal objective analysis method to the sea level anomaly grid data. The mapping errors are analyzed by the comparisons between the grid data of different combinations and along the ground track of Jason-2/3. The independent detection abilities of Sentinel-3A SRAL are analyzed by the comparison between the grid data and the AVISO MSLA data. On the other hand, through the multi-satellite data fusion of different combinations of Sentinel-3A altimeter and other satellite altimeters such as Jason-2/3, the mesoscale eddies detection was performed based on the merged sea level anomaly data and the addition of Sentinel-3A SRAL data for the improvements of mesoscale eddies detection abilities by multi-satellite altimeters are concluded. It is concluded that Sentinel-3A SRAL has good abilities of mesoscale eddies detection as the combination of Jason-2 and Jason-3, and it is better than that of single altimeter of Jason-2 or Jason-3.