{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T03:17:13Z","timestamp":1773890233321,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T00:00:00Z","timestamp":1496707200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>During any marine oil spill, floating oil slicks that reach shorelines threaten a wide array of coastal habitats. To assess the presence of oil near shorelines during the Deepwater Horizon (DWH) oil spill, we scanned the library of Synthetic Aperture Radar (SAR) imagery collected during the event to determine which images intersected shorelines and appeared to contain oil. In total, 715 SAR images taken during the DWH spill were analyzed and processed, with 188 of the images clearly showing oil. Of these, 156 SAR images showed oil within 10 km of the shoreline with appropriate weather conditions for the detection of oil on SAR data. We found detectable oil in SAR images within 10 km of the shoreline from west Louisiana to west Florida, including near beaches, marshes, and islands. The high number of SAR images collected in Barataria Bay, Louisiana in 2010 allowed for the creation of a nearshore oiling persistence map. This analysis shows that, in some areas inside Barataria Bay, floating oil was detected on as many as 29 different days in 2010. The nearshore areas with persistent floating oil corresponded well with areas where ground survey crews discovered heavy shoreline oiling. We conclude that satellite-based SAR imagery can detect oil slicks near shorelines, even in sheltered areas. These data can help assess potential shoreline oil exposure without requiring boats or aircraft. This method can be particularly helpful when shoreline assessment crews are hampered by difficult access or, in the case of DWH, a particularly large spatial and temporal spill extent.<\/jats:p>","DOI":"10.3390\/rs9060567","type":"journal-article","created":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T10:53:09Z","timestamp":1496746389000},"page":"567","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Detection of Oil near Shorelines during the Deepwater Horizon Oil Spill Using Synthetic Aperture Radar (SAR)"],"prefix":"10.3390","volume":"9","author":[{"given":"Oscar","family":"Garcia-Pineda","sequence":"first","affiliation":[{"name":"Water Mapping, LLC, Gulf Breeze, FL 32563, USA"}]},{"given":"Jamie","family":"Holmes","sequence":"additional","affiliation":[{"name":"Abt Associates Inc., Boulder, CO 80302, USA"}]},{"given":"Matt","family":"Rissing","sequence":"additional","affiliation":[{"name":"Abt Associates Inc., Boulder, CO 80302, USA"}]},{"given":"Russell","family":"Jones","sequence":"additional","affiliation":[{"name":"Abt Associates Inc., Boulder, CO 80302, USA"}]},{"given":"Cameron","family":"Wobus","sequence":"additional","affiliation":[{"name":"Abt Associates Inc., Boulder, CO 80302, USA"}]},{"given":"Jan","family":"Svejkovsky","sequence":"additional","affiliation":[{"name":"Ocean Imaging Corp., Littleton, CO 80127, USA"}]},{"given":"Mark","family":"Hess","sequence":"additional","affiliation":[{"name":"Ocean Imaging Corp., Littleton, CO 80127, USA"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.rse.2012.03.024","article-title":"State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill","volume":"124","author":"Leifer","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Michel, J., Owens, E.H., Zengel, S., Graham, A., Nixon, Z., Allard, T., Holton, W., Reimer, D., Lamarche, A., and White, M. (2013). Extent and Degree of Shoreline Oiling: Deepwater Horizon Oil Spill, Gulf of Mexico, USA. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0065087"},{"key":"ref_3","first-page":"1","article-title":"Low-backscatter ocean features in synthetic aperture radar imagery","volume":"21","author":"Clemente","year":"2000","journal-title":"Johns Hopkins APL Tech. Dig."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1109\/JSTARS.2012.2182760","article-title":"Ship and oil-spill detection using the degree of polarization in linear and hybrid\/compact dual-pol SAR","volume":"5","author":"Shirvany","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_5","unstructured":"Jackson, C., and Apel, J. (2004). SAR Imaging of the Ocean Surface. Synthetic Aperture Radar Marine User\u2019s Manual, SAR Imaging of the Ocean Surface."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3642","DOI":"10.1029\/JC093iC04p03642","article-title":"Radar signatures of oil films floating on the sea surface and the Marangoni effect","volume":"93","author":"Alpers","year":"1988","journal-title":"J. Geophys. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"411","DOI":"10.5589\/m09-035","article-title":"Using SAR Images to Delineate Ocean Oil Slicks with a Texture-Classifying Neural Network Algorith (TCNNA)","volume":"35","author":"Zimmer","year":"2009","journal-title":"Can. J. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2630","DOI":"10.3390\/rs3122630","article-title":"Oil Detection in a Coastal Marsh with Polarimetric Synthetic Aperture Radar (SAR)","volume":"3","author":"Ramsey","year":"2011","journal-title":"Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2012.10.028","article-title":"Spectroscopic remote sensing of the istribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes","volume":"129","author":"Kokaly","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Khanna, S., Santos, M.J., Ustin, S.L., Koltunov, A., Kokaly, R.F., and Roberts, D.A. (2013). Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon oil spill in Barataria Bay, Gulf of Mexico using AVIRIS data. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0078989"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"11295","DOI":"10.3390\/rs70911295","article-title":"Structural Classification of Marshes with Polarimetric SAR Highlighting the Temporal Mapping of Marshes Exposed to Oil","volume":"7","author":"Ramsey","year":"2015","journal-title":"Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2517","DOI":"10.1109\/JSTARS.2013.2244061","article-title":"Oil spill mapping and measurement in the Gulf of Mexico with textural classifier neural network algorithm (TCNNA)","volume":"6","author":"MacDonald","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_13","first-page":"124","article-title":"Detection of floating oil anomalies from the Deepwater Horizon oil spill with synthetic aperture radar","volume":"26","author":"MacDonald","year":"2013","journal-title":"Oceanography"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1080\/014311699213596","article-title":"Satellite SAR oil spill detection using wind history information","volume":"20","author":"Espedal","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"16351","DOI":"10.1029\/93JC01289","article-title":"Natural oil slicks in the Gulf of Mexico visible from space","volume":"98","author":"MacDonald","year":"1993","journal-title":"J. Geophys. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.marpolbul.2016.04.003","article-title":"Shoreline oiling from the Deepwater Horizon oil spill","volume":"107","author":"Nixon","year":"2016","journal-title":"Mar. Pollut. Bull."},{"key":"ref_17","unstructured":"National Oceanic and Atmospheric Administration (NOAA) (2017, June 01). Shoreline Assessment Manual, Available online: http:\/\/response.restoration.noaa.gov\/sites\/default\/files\/manual_shore_assess_aug2013.pdf."},{"key":"ref_18","unstructured":"Environmental Response Management Application (ERMA) (2017, June 01). ERMA Deepwater Gulf Response Web Application, Available online: http:\/\/gomex.erma.noaa.gov\/."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"112","DOI":"10.5670\/oceanog.2013.34","article-title":"Oil spills and slicks imaged by synthetic aperture radar","volume":"26","author":"Caruso","year":"2013","journal-title":"Oceanography"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"18851","DOI":"10.1029\/97JC01915","article-title":"Imaging of biogenic and anthropogenic ocean surface films by the multifrequency\/multipolarization SIR-C\/X-SAR","volume":"103","author":"Gade","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Hersbach, H., Stoffelen, A., and De Haan, S. (2007). An improved C-band scatterometer ocean geophysical model function: CMOD5. J. Geophys. Res. Oceans, 112.","DOI":"10.1029\/2006JC003743"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Liu, Y., Macfadyen, A., Ji, Z.-G., and Weisberg, R.H. (2011). Studies of the Deepwater Horizon Oil Spill With the UAVSAR Radar. Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, American Geophysical Union.","DOI":"10.1029\/GM195"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3812","DOI":"10.1109\/TGRS.2012.2185804","article-title":"Polarimetric analysis of backscatter from the Deepwater Horizon oil spill using L-band synthetic aperture radar","volume":"50","author":"Minchew","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"L16607","DOI":"10.1029\/2012GL052304","article-title":"Determining the mixing of oil and sea water using polarimetric synthetic aperture radar","volume":"39","author":"Minchew","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_25","unstructured":"Couvillion, B.R., Barras, J.A., Steyer, G.D., Sleavin, W., Fischer, M., Beck, H., Trahan, N., Griffin, B., and Heckman, D. (2017, May 31). Land Area Change in Coastal Louisiana from 1932 to 2010. U.S. Geological Survey Scientific Investigations Map 3164, Available online: https:\/\/pubs.usgs.gov\/sim\/3164\/."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Svejkovsky, J., Lehr, W., Muskat, J., Graettinger, G., and Mullin, J. (2012). Operational Utilization of Aerial Multispectral Remote Sensing during Oil Spill Response: Lessons Learned During the Deepwater Horizon (MC-252) Spill. Photogr. Eng. Remote Sens., 78.","DOI":"10.14358\/PERS.78.10.1089"},{"key":"ref_27","unstructured":"Owens, E.H., and Sergy, G.A. (2000). The SCAT Manual: A Field Guide to the Documentation and Description of Oiled Shorelines, Environment Canada. [2nd ed.]."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Liu, Y., Macfadyen, A., Ji, Z.-G., and Weisberg, R.H. (2011). NOAA\u2019S Satellite Monitoring of Marine Oil. Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, American Geophysical Union.","DOI":"10.1029\/GM195"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1029\/2011EO060001","article-title":"Tracking the Deepwater Horizon oil spill: A modeling perspective","volume":"92","author":"Liu","year":"2011","journal-title":"EOS Trans. Am. Geophys. Union"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Liu, Y., Macfadyen, A., Ji, Z.-G., and Weisberg, R.H. (2011). Tactical Modeling of Surface Oil Transport during the Deepwater Horizon Spill Response. Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, American Geophysical Union.","DOI":"10.1029\/GM195"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.marpolbul.2010.10.005","article-title":"SAR observation and model tracking of an oil spill event in coastal waters","volume":"62","author":"Cheng","year":"2011","journal-title":"Mar. Pollut. Bull."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Liu, Y., MacFadyen, A., Ji, Z.-G., and Weisberg, R.H. (2011). Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, American Geophysical Union.","DOI":"10.1029\/GM195"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/6\/567\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:38:11Z","timestamp":1760207891000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/6\/567"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,6]]},"references-count":32,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2017,6]]}},"alternative-id":["rs9060567"],"URL":"https:\/\/doi.org\/10.3390\/rs9060567","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,6]]}}}