Synergistic RADARSAT-2 and Sentinel-1 SAR Images for Ocean Feature Analysis

• Published in: Canadian journal of remote sensing Vol. 45; no. 5; pp. 591 - 602
• Main Authors: Van Wychen, Wesley, Vachon, Paris W., Wolfe, John, Biron, Katerina
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 03.09.2019; Taylor & Francis Group
• ISSN: 0703-8992; 1712-7971
• DOI: 10.1080/07038992.2019.1662284

Using a case study approach, the utility of synergistic RADARSAT-2 (R2) and Sentinel-1 (S1) synthetic aperture radar (SAR) imagery is demonstrated for ocean feature signature analysis in the vicinity of the Gulf Stream. The R2 and S1 images considered are either spatially adjacent or spatially overlapping, and were quasi-simultaneously collected (i.e., within minutes of each other). Spatially adjacent R2 and S1 imagery allows ocean feature signatures to be delineated over large spatial areas, while spatially overlapping R2 and S1 imagery collected within short time intervals provides independent 'looks' at the same ocean features. This permits determination of the surface displacement of features, potentially leading to improved classification of the origin of ocean feature signatures (quasi-stationary features are likely related to sea surface temperature fronts, while mobile features are likely related to atmospheric conditions). Further, we demonstrate how the use of S1 Level-2 products (i.e. radial velocity datasets) can be leveraged as contextual data to improve the interpretation and classification of ocean feature signatures extracted from R2 imagery. Despite the straight-forward approach taken here, this work demonstrates that there are practical, real-world applications that would benefit from exploiting these on-going imaging opportunities in operational environments.