Title : 
An analysis of the polarimetric scattering properties of oil spills on the ocean surface with hybrid polarimetry SAR
         
        
            Author : 
Haiyan Li ; Perrie, William
         
        
            Author_Institution : 
Key Lab. of Comput. Geodynamics, Univ. of Chinese Acad. of Sci., Beijing, China
         
        
        
        
        
        
            Abstract : 
An analysis of the polarimetric scattering properties of oil-covered waters is conducted using the classic Poincaré ellipticity parameter chi (χ) from the Stokes parameters of hybrid polarized mode Synthetic Aperture Radar (SAR). For natural oil seeps, χ has a change in signs, comparing oil-covered waters with the `clean´ ocean surface. The χ sign reversal is basic to sign difference oil spill detection methods. However, a problem is that oil spills related to the Deep Water Horizon (DWH) disaster did not exhibit a reversal in χ signs, when `clean´ ocean surfaces are compared to the area contaminated by crude oil. Therefore, the scattering mechanism related to the oil seeps is different from that of the DWH oil spill; the former is dominated with even bounce scattering and the latter is dominated by Bragg scattering, similar to that of the clean oil-free ocean surface.
         
        
            Keywords : 
marine pollution; oil pollution; radar polarimetry; remote sensing by radar; synthetic aperture radar; χ sign reversal; Bragg scattering; DWH disaster; Deep Water Horizon; Stokes parameters; area contamination; chi; classic Poincaré ellipticity parameter; clean ocean surface; clean oil-free ocean surface; crude oil; even bounce scattering; hybrid polarimetry SAR; hybrid polarized mode Synthetic Aperture Radar; natural oil seeps; oil spills; oil-covered waters; polarimetric scattering properties; scattering mechanism; Equations; Scattering; Sea surface; Stokes parameters; Synthetic aperture radar; Water; Poincaré ellipticity parameter; degree of polarization; hybrid polarized SAR; oil spill; polarimetric characters;
         
        
        
        
            Conference_Titel : 
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
         
        
            Conference_Location : 
Melbourne, VIC
         
        
        
            Print_ISBN : 
978-1-4799-1114-1
         
        
        
            DOI : 
10.1109/IGARSS.2013.6721152