Measurement of ocean surface slopes and wave spectra using polarimetric SAR image data

Schuler, D.L.; Lee, J.S.; Kasilingam, D.; Pottier, Éric

doi:10.1016/j.rse.2004.03.008

Cited by 72 publications

(17 citation statements)

References 26 publications

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“…To investigate the scattering properties and mechanisms of oil slicks and ambient clean sea surfaces, we use μ analysis, in addition to entropy ( H ) and average alpha angle (). If H is low, the system contains significant polarimetric information, whereas as H approaches unity the backscatter from resolved cells becomes depolarized [ Schuler and Lee , 2006]; a slick‐free area is a low‐ H surface dominated by returns from tilted‐Bragg scatterers [ Schuler et al , 2004]. Figure 1c compares the H image of a slick‐covered surface to that of an ambient clean sea surface.…”

Section: Results and Analysismentioning

confidence: 99%

Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image

Zhang

Perrie

et al. 2011

Geophys. Res. Lett.

165

134

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[1] Polarimetric SAR decomposition parameters, average alpha angle ( ) and entropy (H) are estimated for oil-slick contaminated sea surfaces and slick-free conditions using a RADARSAT-2 quad-polarization SAR image. The values of H and within oil slick areas are significantly higher than those of the ambient sea surface, indicating the dominance of Bragg scattering for the slick-free ocean and non-Bragg scattering for the oil-slick area. In land classification, the conformity coefficient (m) is often used to discriminate surface scattering with double-bounce or volume scattering. Based on this rationale, we also develop a method using m as a logical scalar descriptor to map oil slicks under low-tomoderate wind conditions. The proposed method is assessed using a RADARSAT-2 quad-polarization SAR image of oil slicks in the Gulf of Mexico. Analysis shows that when m is positive the sea surface is slick-free, whereas m is negative for oil-slick areas. This method provides a simple and effective mapping technique for oil slick detection.

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Section: Results and Analysismentioning

confidence: 99%

Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image

Zhang

Perrie

et al. 2011

Geophys. Res. Lett.

165

134

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“…Conventional single‐polarization backscatter cross‐section measurements require two orthogonal passes and a complex SAR modulation transfer function (MTF) to determine vector slopes and directional wave spectra [ Alpers et al , 1981; Hasselmann and Hasselmann , 1991]. With the development of the fully polarimetric SAR technique, an algorithm was investigated to study the feasibility of using airborne L and P band fully polarimetric SAR image data to measure ocean wave slopes and wave spectra [ Schuler et al , 2004]. The advantage of this method is that it effectively achieves direct measurements of the wave slopes.…”

Section: Introductionmentioning

confidence: 99%

Validation of RADARSAT‐2 fully polarimetric SAR measurements of ocean surface waves

Zhang

Perrie

2010

J. Geophys. Res.

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[1] C band RADARSAT-2 fully polarimetric (fine quad-polarization mode, HH+VV+HV +VH) synthetic aperture radar (SAR) images are used to validate ocean surface waves measurements using the polarimetric SAR wave retrieval algorithm, without estimating the complex hydrodynamic modulation transfer function, even under large radar incidence angles. The linearly polarized radar backscatter cross sections (RBCS) are first calculated with the copolarization (HH, VV) and cross-polarization (HV, VH) RBCS and the polarization orientation angle. Subsequently, in the azimuth direction, the vertically and linearly polarized RBCS are used to measure the wave slopes. In the range direction, we combine horizontally and vertically polarized RBCS to estimate wave slopes. Taken together, wave slope spectra can be derived using estimated wave slopes in azimuth and range directions. Wave parameters extracted from the resultant wave slope spectra are validated with colocated National Data Buoy Center (NDBC) buoy measurements (wave periods, wavelengths, wave directions, and significant wave heights) and are shown to be in good agreement.

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“…Full-polarized echoes from a sea's surface include more abundant information than single-polarized ones [1][2][3][4]. Thus, the study of the full-polarized scattering characteristics from sea surfaces is of great value and will be of benefit in the detection and recognition of targets in a maritime environment.…”

Section: Introductionmentioning

confidence: 99%

Efficient Numerical Full-Polarized Facet-Based Model for EM Scattering from Rough Sea Surface within a Wide Frequency Range

Min

Zhao

et al. 2019

Remote Sensing

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A full-polarized facet based scattering model (FPFSM) for investigating the electromagnetic (EM) scattering by two-dimensional electrically large sea surfaces with high efficiency at high microwave bands is proposed. For this method, the scattering field over a large sea facet in a diffuse scattering region is numerically deduced according to the Bragg scattering mechanism. In regard to near specular directions, a novel approach is proposed to calculate the scattered field from a sea surface based on the second order small slope approximation (SSA-II), which saves computer memory considerably and is able to analyze the EM scattering by electrically large sea surfaces. The feasibility of this method in evaluating the radar returns from the sea surface is proved by comparing the normalized radar cross sections (NRCS) and the Doppler spectrum with the SSA-II. Then NRCS results in monostatic and bistatic configurations under different polarization states, scattering angles and wind speeds are analyzed as well as the Doppler spectrum at Ka-band. Numerical results show that the FPFSM is a reliable and efficient method to analyze the full-polarized scattering characteristics from electrically large sea surface within a wide frequency range.

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Measurement of ocean surface slopes and wave spectra using polarimetric SAR image data

Cited by 72 publications

References 26 publications

Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image

Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image

Validation of RADARSAT‐2 fully polarimetric SAR measurements of ocean surface waves

Efficient Numerical Full-Polarized Facet-Based Model for EM Scattering from Rough Sea Surface within a Wide Frequency Range

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