Title :
Mapping oil in a coastal marsh with polarimetric synthetic aperture radar
Author :
Ramsey, E. ; Rangoonwala, A.
Author_Institution :
U.S. Geol. Survey, Lafayette, LA, USA
Abstract :
Our research focused on the effectiveness of high spatial resolution and fully polarimetric L-band SAR (NASA Uninhabited Aerial Vehicle SAR [UAVSAR]) for mapping oil in wetlands, specifically during the Macondo-1 oil spill and its impacts within Barataria Bay in eastern coastal Louisiana. Oil detection relied on PolSAR decomposition and subsequent classifications of the pre-spill (2009) and post-spill (2010) single look complex (SLC) scenes and numerous site observations. Results found that observed shoreline marsh structural damage accompanied by oil occurrence were evident as anomalous features on post-spill but not on the pre-spill SLC flight line data and that these nearshore features were reflected as a change in dominant scatter in Freeman-Durden (FD) and Cloude-Pottier (CP) decompositions and Wishart classifications seeded with the FD and CP classes. Pre- and post-spill SLC data and all decompositions and classifications also revealed a class of interior marshes within the central core of the study region that was associated with a transform of dominant scatter mechanism. The change of dominant scatter is associated with a preponderance of evidence that supports the penetration of oil-polluted waters into interior marshes. Contrary to documented nearshore impacts, however, the lack of contemporaneous observational data and possible shallow flooding in the pre-spill marsh prevent absolute determination of whether UAVSAR detected oil occurrences in the interior marshes.
Keywords :
autonomous aerial vehicles; lakes; marine pollution; oil pollution; radar polarimetry; radar signal processing; remote sensing by radar; signal classification; synthetic aperture radar; AD 2009; AD 2010; Barataria Bay; Cloude-Pottier decomposition; Freeman-Durden decomposition; Macondo-1 oil spill; NASA Uninhabited Aerial Vehicle SAR; PolSAR decomposition; UAVSAR; USA; Wishart classification; coastal marsh; dominant scatter mechanism; eastern coastal Louisiana; fully polarimetric L-band SAR; high spatial resolution L-band SAR; oil detection; polarimetric synthetic aperture radar; post spill single look complex scene classification; prespill single look complex scene classification; shoreline marsh structural damage; wetland oil mapping; Backscatter; Rough surfaces; Scattering; Sea measurements; Surface roughness; Synthetic aperture radar; Classification; Decomposition; Marsh; Multi-polarization; Oil; Radar; Remote Sensing;
Conference_Titel :
Oceans, 2012
Conference_Location :
Hampton Roads, VA
Print_ISBN :
978-1-4673-0829-8
DOI :
10.1109/OCEANS.2012.6404922