Title
Retrieval of Oil-Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar.
Abstract
The oil-water mixture ratio for oil spills on the ocean surface is an important parameter for volume estimation of oil spills, response strategy for the oil spills, cleanup operations, and remediation planning for the impacts on wildlife. Hybrid-polarized (HP) mode compact polarization (CP) synthetic aperture radar (SAR) imagery will soon be available with the launch of the RADARSAT Constellation Mission. The advantage of the proposed new SAR system is that CP images will have wider swath and shorter revisit time compared to quad-polarization (QP) images, which are presently available from space-borne and air-borne SAR. We present a methodology to retrieve the oil-water mixture ratio at the ocean surface using CP SAR imagery. We emulated the HP mode of CP SAR image using Uninhabited Aerial Vehicle SAR (UAVSAR) L band observations collected on 23 June 2010 over the site of the Deep Water Horizon drilling rig. The gap between elements ratio of CP SAR covariance matrix and that of QP SAR Sinclair matrix is bridged. Numerical optimization and look up table methods are used to relate the oil-water mixture ratio to elements of the covariance matrix for the HP data backscatter. The mixture ratio estimates determined from the ratio of diagonal elements of the covariance matrix for HP mode CP data are compared with results retrieved from the co-polarization ratio from the original QP SAR observations. Results from the proposed methodology for SAR images captured in the HP mode of CP data are shown to compare favourably to observed in situ data of the mixture ratios.
Year
DOI
Venue
2019
10.3390/rs11070816
REMOTE SENSING
Keywords
Field
DocType
oil-water mixture ratio,compact polarization SAR (CP SAR),hybrid-polarized SAR (HP SAR),oil spill,polarization SAR
Lookup table,L band,Polarimetry,Matrix (mathematics),Synthetic aperture radar,Remote sensing,Backscatter,Polarization (waves),Covariance matrix,Geology
Journal
Volume
Issue
Citations 
11
7
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Haiyan Li186.32
William Perrie210527.21
jin wu350.82