IOCAS-IR
Retrieval of Oil-Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar
Li, Haiyan1,2,3,4; Perrie, William2,4; Wu, Jin1,5
2019-04-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:7Pages:21
Corresponding AuthorLi, Haiyan(lihaiyan@ucas.ac.cn) ; Perrie, William(William.Perrie@dfo-mpo.gc.ca)
AbstractThe 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.
Keywordoil-water mixture ratio compact polarization SAR (CP SAR) hybrid-polarized SAR (HP SAR) oil spill polarization SAR
DOI10.3390/rs11070816
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41776197] ; Canada Office of Energy Research and Development (OERD) ; Canadian Space Agency DUAP program
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000465549300081
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/156975
Collection中国科学院海洋研究所
Corresponding AuthorLi, Haiyan; Perrie, William
Affiliation1.Univ Chinese Acad Sci, Key Lab Computat Geodynam, Beijing 100049, Peoples R China
2.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada
3.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
4.Dalhousie Univ, Dept Engn Math & Internetworking, Halifax, NS B3H 4R2, Canada
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li, Haiyan,Perrie, William,Wu, Jin. Retrieval of Oil-Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar[J]. REMOTE SENSING,2019,11(7):21.
APA Li, Haiyan,Perrie, William,&Wu, Jin.(2019).Retrieval of Oil-Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar.REMOTE SENSING,11(7),21.
MLA Li, Haiyan,et al."Retrieval of Oil-Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar".REMOTE SENSING 11.7(2019):21.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Haiyan]'s Articles
[Perrie, William]'s Articles
[Wu, Jin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Haiyan]'s Articles
[Perrie, William]'s Articles
[Wu, Jin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Haiyan]'s Articles
[Perrie, William]'s Articles
[Wu, Jin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.