Operational oil-slick characterization by SAR imagery and synergistic data

A methodology is proposed for the semiautomatic detection, characterization, and classification of slicks detected in C-band Synthetic Aperture Radar (SAR). For the first detection step, automatic algorithms were tested on Environmental Research Satellite (ERS) and Environmental Satellite (EnviSat) images acquired during the Prestige tanker accident. These tests reveal that simple filter or segmentation methods efficiently detect slicks with high contrasts and simple shapes, while a new and more complex multiscale method is able to detect a wider range of slicks. The characteristics of automatically detected slicks are then combined with meteooceanic data in order to eliminate slicks related to wind anomalies and current fronts. The data suggest that slicks in cold upwelling waters are natural, and confirm that slicks are heavy oils when high sea states are present. This detection-classification methodology is validated with aircraft slick-tracking maps. In most cases, joint SAR and environmental data are sufficient to classify the slicks.

[1]  C. Marangoni,et al.  Sul principio della viscosita’ superficiale dei liquidi stabilito dalsig. J. Plateau , 1871 .

[2]  K. Krishen.  Detection of oil spills using a 13.3‐GHz radar scatterometer , 1972 .

[3]  G. Valenzuela.  Theories for the interaction of electromagnetic and oceanic waves — A review , 1978 .

[4]  Heinrich Hühnerfuss,et al.  Measurements at 13.9 GHz of the radar backscattering cross section of the North Sea covered with an artificial surface film , 1978 .

[5]  Heinrich Hühnerfuss,et al.  Attenuation of wind waves by artificial surface films of different chemical structure , 1981 .

[6]  Heinrich Hühnerfuss,et al.  Experimental sea slicks: Their practical applications and utilization for basic studies of air‐sea interactions , 1981 .

[7]  W. Croswell,et al.  Characteristics of 13.9 GHz radar scattering from oil films on the sea surface , 1982 .

[8]  Heinrich Hühnerfuss,et al.  The modification of X and L band radar signals by monomolecular sea slicks , 1983 .

[9]  Heinrich Hühnerfuss,et al.  Attenuation of capillary and gravity waves at sea by monomolecular organic surface films , 1983 .

[10]  Robert Hawkins,et al.  The Influence of Surface Oil on C-and Ku-Band Ocean Backscatter , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Heinrich Hühnerfuss,et al.  Discrimination between crude-oil spills and monomolecular sea slicks by airborne radar and infrared radiometer—possibilities and limitations , 1986 .

[12]  Frank E. Hoge,et al.  The discrimination between crude-oil spills and monomolecular sea slicks by an airborne lidar , 1986 .

[13]  Heinrich Hühnerfuss,et al.  Radar signatures of oil films floating on the sea surface and the Marangoni effect , 1988 .

[14]  W. Alpers,et al.  The damping of ocean waves by surface films: A new look at an old problem , 1989 .

[15]  W. Alpers,et al.  The Damping Of Ocean Surface Waves By Monomolecular Sea Slicks Measured By Airborne Multi-frequency Radars During The Saxon-fpn experiment , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

[16]  V. Wismann,et al.  Radar signatures of mineral oil spills measured by an airborne multi-frequency radar and the ERS-1 SAR , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[17]  A.H.S. Solberg,et al.  Oil spill detection in SAR imagery , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[18]  Heinrich Hühnerfuss,et al.  Classification of sea slicks by multifrequency radar techniques: New chemical insights and their geophysical implications , 1994 .

[19]  W. Alpers,et al.  Observation of artificial slicks with SIR-C/X-SAR around Japan , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[20]  Ola M. Johannessen,et al.  Natural films in coastal waters , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[21]  Petros Pavlakis,et al.  On the optimization of spaceborne SAR capacity in oil spill detection and the related hydrodynamic phenomena , 1996 .

[22]  P. Trivero,et al.  SAR detection and characterization of sea surface slicks , 1998 .

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

[24]  K. Katsaros,et al.  Observation of tropical cyclones by high-resolution scatterometry , 1998 .

[25]  S. Ufermann,et al.  Using ERS-2 SAR images for routine observation of marine pollution in European coastal waters , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[26]  Heinrich Hühnerfuss,et al.  Radar signatures of marine mineral oil spills measured by an airborne multi-frequency radar , 1998 .

[27]  Heinrich Hühnerfuss,et al.  On the reduction of the radar backscatter by oceanic surface films: Scatterometer measurements and their theoretical interpretation , 1998 .

[28]  Heidi Espedal,et al.  Detection of oil spill and natural film in the marine environment by spaceborne SAR , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[29]  Rune Solberg,et al.  Automatic detection of oil spills in ERS SAR images , 1999, IEEE Trans. Geosci. Remote. Sens..

[30]  J. C. Scott,et al.  Ocean surface slicks-pollution, productivity, climate and life-saving , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[31]  M. Gade,et al.  On the detectability of marine oil pollution in European marginal waters by means of ERS SAR imagery , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[32]  Fabio Del Frate,et al.  Neural networks for oil spill detection using ERS-SAR data , 2000, IEEE Trans. Geosci. Remote. Sens..

[33]  Pierfrancesco Lombardo,et al.  Comparison of optimised processors for the detection and segmentation of oil slicks with polarimetric SAR images , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[34]  B. Fiscella,et al.  Oil spill detection using marine SAR images , 2000 .

[35]  Dario Tarchi,et al.  On the monitoring of illicit vessel discharges using spaceborne sar remote sensing - a reconnaissance study in the Mediterranean sea , 2001, Ann. des Télécommunications.

[36]  Giorgio Franceschetti,et al.  SAR raw signal simulation of oil slicks in ocean environments , 2002, IEEE Trans. Geosci. Remote. Sens..

[37]  W. Pieczynski,et al.  Multiscale oil slick segmentation with Markov chain model , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[38]  Amerigo Capria,et al.  A FARIMA based analysis for wind falls and oil slicks discrimination in sea SAR imagery , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

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