Analysis of photographic images of the structure of the surface of the sea near a speck of light

Burdyugov, V. M.; Grodsky, Semyon A.; Kudryavtsev, V. N.

doi:10.1007/bf02198288

Cited by 1 publication

(2 citation statements)

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“…Hu et al (2009) for the oil slicks; Matthews (2005), Munk et al (1987) for ship wakes and IWs; Munk et al (2000) for spiral eddies; Jackson and Alpers (2010) for IWs and oil slicks). This property is quite straightforward, and as shown by Burdyugov et al (1987) and recently by Jackson and Alpers (2010), is a simple consequence of different viewing distance angles from the specular point.…”

Section: Introductionmentioning

confidence: 68%

“…There are few papers focused on the specific problem of retrieval of quantitative roughness anomalies from high resolution sun glitter imagery. Burdyugov et al (1987) used the Cox and Munk (1954) model to convert sun glitter brightness signatures into MSS contrasts and applied their approach to airborne photographs of surface slicks produced by a train of IWs. Reconstruction of 2D spectra of dominant surface wave elevations from sun glitter have also been reported (e.g., Stillwell, 1969;Bolshakov et al, 1990a) and used to investigate the evolution and transformation of 2D wind wave spectra (Bolshakov et al 1990b).…”

Section: Introductionmentioning

confidence: 99%

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Joint sun-glitter and radar imagery of surface slicks

Kudryavtsev

Myasoedov

Chapron³

et al. 2012

Remote Sensing of Environment

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A method is proposed to retrieve and interpret fine spatial variations of the sea surface roughness in sun glitter imagery. Observed sun glitter brightness anomalies are converted using a transfer function determined from the smoothed shape of sun glitter brightness. The method is applied to MODIS and MERIS sun glitter imagery of natural oil seeps and the catastrophic Deepwater Horizon oil spill in the Gulf of Mexico. The short-scale roughness variations in the presence of mineral oils slicks are consistently extracted and compared to variations associated with the biogenic slicks. In doing so, the wind speed dependency on the roughness anomalies is also considered. A comparison to normalized radar cross section (NRCS) anomalies taken from the corresponding high resolution ASAR images is performed, and similarities as well as differences are investigated. The results document significant benefit from the synergetic use of sun glitter and radar imagery for detection and monitoring of surface slicks. Highlights► Estimation of the spatial anomalies in the mean square slope of the sea surface. ► Distinct relationship between sun-glitter and radar backscatter contrasts. ► Collocated MODIS, MERIS and ASAR images. ► Film elasticity coefficient. ► Consistent optical and radar imaging model.

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