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RSS FeedsRemote Sensing, Vol. 11, Pages 1706: Retrieval of Internal Solitary Wave Amplitude in Shallow Water by Tandem Spaceborne SAR (Remote Sensing)

 
 

18 july 2019 22:03:31

 
Remote Sensing, Vol. 11, Pages 1706: Retrieval of Internal Solitary Wave Amplitude in Shallow Water by Tandem Spaceborne SAR (Remote Sensing)
 


The accurate estimation of the upper layer thickness in a two-layer ocean is a crucial step in the retrieval of internal solitary wave (ISW) amplitude from synthetic aperture radar (SAR) data. In this paper, we present a method to derive the upper layer thickness and the consequent ISW amplitude by combining two consecutive SAR images with the extended Korteweg-de Vries (eKdV) equation. An ISW case observed twice by the Chinese C-band SAR GaoFen-3 (GF-3) and the German X-band SAR TerraSAR-X (TS-X) with a temporal interval of approximately 11 minutes in shallow water to the southeast of Hainan Island in the northwestern South China Sea was used to demonstrate the applicability of the method. Using the in situ measurements of temperature and salinity near the observed ISW, the proposed method yielded an ISW amplitude of −4.52 m, in close proximity to −5.66 ± 1.24 m derived by applying the classic Korteweg–de Vries (KdV) equation based on the continuously stratified theory. Moreover, the climatological dataset of the World Ocean Atlas 2013 (WOA13) was also used with the proposed method in the Hainan case, and the results showed that the method can still provide a reasonable estimate of ISW amplitude in shallow water even when in situ oceanic stratification measurements are absent. The application of our method to derive the ISW amplitude from consecutive SAR images seems highly promising with the increasing emergence of tandem satellites in orbits.


 
177 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 1707: Spatio-Temporal Patterns of Coastal Aquaculture Derived from Sentinel-1 Time Series Data and the Full Landsat Archive (Remote Sensing)
Remote Sensing, Vol. 11, Pages 1705: Assessing Rebar Corrosion through the Combination of Nondestructive GPR and IRT Methodologies (Remote Sensing)
 
 
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