An Experimental Study of X-Band Synthetic Aperture Radar ( SAR ) Imagery for Marine Oil Slick Monitoring

In this study, the usefulness of multi-polarization X-band SAR data for oil slick monitoring is investigated. The effect of incidence angles and noise contamination, and the combination of HH and VV polarization channels for oil slick monitoring is discussed. Dualpolarization data collected by TerraSAR-X and COSMO-SkyMed during two large-scale oil spill exercises in the North Sea is analysed. Oil slicks are detected in low wind speeds (1.6-5 m/s) over a range of incidence angles. While the noise contamination of the signal is seen to increase with increasing incidence angles, the multi-polarization features provide less information at the lowest incidence angles here available (~20°-21° for TerraSAR-X and ~24°-26° for COSMOSkyMed). When slick characterization utilizing multi-polarization features is desired, intermediate incidence angles seem preferable. For TerraSAR-X data at incidence angles ~27°29° and ~ 41°-42°, consistency in feature values between scenes is seen to some extent. No clear variations with slick age are observed. TerraSAR-X data, being coherent in phase, is found more useful for multi-polarization analysis than COSMO-SkyMed in this data set.

[1]  Brent Minchew,et al.  Determining the mixing of oil and sea water using polarimetric synthetic aperture radar , 2012 .

[2]  M. Migliaccio,et al.  On the COSMO-SkyMed PingPong Mode to Observe Metallic Targets at Sea , 2013, IEEE Journal of Oceanic Engineering.

[3]  Guido Ferraro,et al.  Oil spill detection using COSMO-SkyMed over the adriatic sea: The operational potential , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[4]  Benjamin Holt,et al.  Polarimetric Analysis of Backscatter From the Deepwater Horizon Oil Spill Using L-Band Synthetic Aperture Radar , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Maurizio Migliaccio,et al.  SAR Polarimetry to Observe Oil Spills , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Eric Pottier,et al.  An entropy based classification scheme for land applications of polarimetric SAR , 1997, IEEE Trans. Geosci. Remote. Sens..

[7]  Heinrich Hühnerfuss,et al.  Imaging of biogenic and anthropogenic ocean surface films by the multifrequency/multipolarization SIR‐C/X‐SAR , 1998 .

[8]  R. Garello,et al.  Operational oil-slick characterization by SAR imagery and synergistic data , 2005, IEEE Journal of Oceanic Engineering.

[9]  A. Solberg,et al.  Oil spill detection by satellite remote sensing , 2005 .

[10]  Yang Liu,et al.  An experiment for oil spill recognition using RADARSAT-2 image , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[11]  William J. Emery,et al.  The Gulf of Mexico oil rig accident: analysis by different SAR satellite images , 2011, Remote Sensing.

[12]  William Perrie,et al.  Mapping sea surface oil slicks using RADARSAT‐2 quad‐polarization SAR image , 2011 .

[13]  Maurizio Migliaccio,et al.  On the Mueller Scattering Matrix for SAR Sea Oil Slick Observation , 2008, IEEE Geoscience and Remote Sensing Letters.

[14]  A. Yu. Ivanov,et al.  The oil spill from a shipwreck in Kerch Strait: radar monitoring and numerical modelling , 2010 .

[15]  Torbjørn Eltoft,et al.  A Comprehensive Analysis of Polarimetric Features for Oil Spill Characterization , 2013 .

[16]  Maurizio Migliaccio,et al.  On the co‐polarized phase difference for oil spill observation , 2009 .

[17]  Marco Schwerdt,et al.  Assessment of Atmospheric Propagation Effects in SAR Images , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Maurizio Migliaccio,et al.  Dual-Polarized TerraSAR-X Data for Oil-Spill Observation , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Helko Breit,et al.  TerraSAR-X Ground Segment Basic Product Specification Document , 2008 .

[20]  Duk-jin Kim,et al.  Application of TerraSAR-X Data for Emergent Oil-Spill Monitoring , 2010, IEEE Transactions on Geoscience and Remote Sensing.