Estimation of Ocean Current Velocity in Coastal Area Using Radarsat-1 SAR Images and HF-Radar Data

Abstract

This paper presents the results of the surface current velocity estimation using 6 Radarsat-1 SAR images and high frequency (HF) radar data acquired in west coastal area near Incheon, Korea. We extracted the surface velocity from SAR images based on the Doppler shift approach in which the azimuth frequency shift is related to the motion of surface target in the radar direction. The extracted SAR current velocities were statistically compared with the current velocities from the HF-radar data. The corrected SAR current velocity inherits the average of HF-radar while maintaining high-resolution mature of the original SAR data.

Synthetic Aperture Radar (SAR) for Ocean: A Review

“…Many researchers have suggested using the Doppler shift of the SAR images to estimate the ocean surface currents [79]- [82]. The Doppler shift of the backscattered SAR signal can be measured through the difference between the Doppler centroid of the SAR data and the nominal Doppler centroid calculated using the trajectory parameters of the satellite orbit [83]. Furthermore, the wave component should be extracted from the Doppler shift to improve accuracy in ocean surface current estimation [84], [85].…”

GAS Ocean Current Estimation with Limited Velocity Readings

“…For recent surveys on underwater navigation the reader is referred to Kinsey et al (2006) and Leonard et al (1998). In other situations, the estimation of the ocean current velocity is, itself, a goal of the mission, see Neumann, G. (1968), Wilson (1994), Kang et al (2008), and references therein.…”

Estimation of Polarization Ratio for Sea Surface Wind Retrieval from SIR-C SAR Data

“…In addition, it offers a capacity of all-weather imaging for the ocean surface irrespective of atmospheric condition, except for extreme events related to heavy rainfall. These unique imaging availabilities of SAR make it possible to observe various oceanic features such as waves (Beal et al, 1986;Dobson and Vachon, 1994;Kim, 1999), currents (Lyzenga and Marmorino, 1998;Romeiser et al, 2002;Kang and Lee, 2007), internal waves (Gasparovic et al, 1988;da Silva et al, 1997) and near-coastal and finer-scale wind fields to investigate the spatial variability of wind field (Kerbaol et al, 1998;Vandemark et al, 1998;Lehner et al, 2000;Friedman et al, 2001;Kim, 2009). SAR-derived wind fields are now being used in various applications such as coastal environment monitoring (Korsbakken et al, 1997;Choisnard et al, 2003;Moon et al, 2010), assimilation of ocean circulation models (Young et al, 2000;Kawamura et al, 2002;Zabeline et al, 2011), and mapping global wind power (Furevik and Espedal, 2002;Hasager et al, 2004;Christiansen et al, 2006).…”