Oil Spill Remote Sensing: A Review

Publisher Summary This chapter outlines several general reviews of oil spill remote sensing. Massive spills of oil and related petroleum products can have serious biological and economic impacts. Following a spill, there is a scrutiny both from public and media with demands that the location and extent of the oil spill be determined. This chapter discusses various sensors. Remote sensing is playing a major role in determining the extent of oil spill. With the help of this instrument, oil can be monitored on the open ocean around the clock. The demerit of this instrument is that it lags behind in technology. Another instrument known as ‘optical sensor’ helps in determining the extent of oil spill. Optical techniques, the most common means of remote sensing uses the same range of the visible spectrum detection. Of late, a new technology which is known as Global Positioning Systems (GPS) is directly used to map remote-sensing data onto base maps. This chapter reviews the future trends of remote sensing such as cameras and thermal IR cameras, laser technology. Also rapidly improving computer capabilities allows real-time processing. Combinations of airborne and satellite-borne sensor systems are recommended in order to respond effectively to major marine oil spills.

[1]  Miguel Herrera Rodriguez,et al.  Cantarell natural seep modelling using SAR derived ocean surface wind and meteo- oceanographic buoy data. , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[2]  Werner Alpers,et al.  Layers of different thicknesses in mineral oil spills detected by grey level textures of real aperture radar images , 1989 .

[3]  Antonio Iodice,et al.  Characterization of local regularity in SAR Imagery by means of multiscale techniques: application to oil spill detection , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[4]  R. Reuter,et al.  Lidar fluorosensing of mineral oil spills on the sea surface. , 1990, Applied optics.

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

[6]  R. H. Goodman,et al.  The limits of visibility of spilled oil sheens , 1996 .

[7]  Chris Pfeifer,et al.  QUANTIFYING PERCENT COVER OF SUBMERGED OIL USING UNDERWATER VIDEO IMAGERY , 2008 .

[8]  R. H. Goodman,et al.  Overview and future trends in oil spill remote sensing , 1994 .

[9]  P. Pavlakis,et al.  Dark formation detection using neural networks , 2008 .

[10]  S. Ahmed,et al.  The polarization properties of reflectance from coastal waters and the ocean-atmosphere system , 2006, SPIE Remote Sensing.

[11]  R. H. Goodman,et al.  A SIMPLE REMOTE SENSING SYSTEM FOR THE DETECTION OF OIL , 1985 .

[12]  John F. Vesecky,et al.  Monitoring of Coastal Vessels Using Surface Wave HF Radars: Multiple Frequency, Multiple Site and Multiple Antenna Considerations , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[13]  I. Grierson,et al.  Use of Airborne Thermal Imagery to Detect and Monitor Inshore Oil Spill Residues During Darkness Hours , 1998, Environmental management.

[14]  W. J. Looyen,et al.  Aircraft experiments with visible and infrared sensors , 1992 .

[15]  William J. Wilson,et al.  Passive millimeter-wave imaging ― a tool for remote sensing , 1989 .

[16]  Giovanna Cecchi,et al.  Remote sensing of marine environment with the high spectral resolution fluorosensor FLIDAR3 , 1995, Remote Sensing.

[17]  J. A. Noerager,et al.  Oil Tracking, Containment, and Recovery During the Exxon Valdez Response1 , 1991 .

[18]  Grégoire Mercier,et al.  Statistical Similarity Measure for Oil Slick Detection in SAR Image , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[19]  Wei Tian,et al.  Oil Spill Identification based on Textural Information of SAR Image , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[20]  J. T. Macklin,et al.  The imaging of oil slicks by synthetic-aperture radar , 1992 .

[21]  Antonio Iodice,et al.  SAR simulation of ocean scenes covered by oil slicks with arbitrary shapes , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[22]  M. Fingas,et al.  Review of oil spill remote sensing. , 2014, Marine pollution bulletin.

[23]  H. D. Parker,et al.  Evaluation of Infrared Line Scan (IRLS) and Side-Looking Airborne Radar (SLAR) Over Controlled Oil Spills in the North Sea , 1984 .

[24]  P. Pavlakis,et al.  An object‐oriented methodology to detect oil spills , 2006 .

[25]  L. Olga,et al.  Multisensor Approach to Operational Oil Pollution Monitoring in Coastal Zones , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[26]  Demetris Stathakis,et al.  Investigation of genetic algorithms contribution to feature selection for oil spill detection , 2009 .

[27]  Matt Arkett,et al.  Integrated satellite tracking of pollution: A new operational program , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[28]  José M. Bioucas-Dias,et al.  Oil spill segmentation of SAR images via graph cuts , 2006, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[29]  Daniel McStay,et al.  Shipborne system for the detection of surface oil , 1996, Optics & Photonics.

[30]  Peter Petrov,et al.  The application of hyperspectral image techniques on MODIS data for the detection of oil spills in the RSA , 2008, Remote Sensing.

[31]  Francesco Nirchio,et al.  High resolution COSMO - SkyMed SAR images for oil spills automatic detection , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[32]  J. Karvonen,et al.  Oil Spill Detection with RADARSAT-1 in the Baltic Sea , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[33]  Light scattering in Baltic crude oil - seawater emulsion , 2009 .

[34]  Terje Wahl,et al.  Oil spill detection using satellite based SAR: experience from a field experiment , 1993 .

[35]  Saif ud Din,et al.  Evidence of hydrocarbon contamination from the Burgan oil field, Kuwait: interpretations from thermal remote sensing data. , 2008, Journal of environmental management.

[36]  Maurizio Migliaccio,et al.  A physically consistent stochastic model to observe oil spills and strong scatterers on SLC SAR images , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[37]  Tarchi Dario,et al.  The Use of Satellite Radar Imagery in the Prestige Accident , 2004 .

[38]  Massimo Bertacca.  A FEXP model Short Range Dependence analysis for improving oil slicks and low-wind areas discrimination in sea SAR imagery , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[39]  Carl E. Brown,et al.  AIRBORNE OIL SPILL SENSOR TESTING: PROGRESS AND RECENT DEVELOPMENTS , 2001 .

[40]  Angela Carpenter,et al.  The Bonn Agreement Aerial Surveillance programme: trends in North Sea oil pollution 1986-2004. , 2007, Marine pollution bulletin.

[41]  M. N. Jha,et al.  Oil spill contingency planning using Laser Fluorosensors and web-based GIS , 2008, Oceans.

[42]  Ronald Pelot,et al.  Visualization of spatial patterns and temporal trends for aerial surveillance of illegal oil discharges in western Canadian marine waters. , 2008, Marine pollution bulletin.

[43]  K. Topouzelis,et al.  Detection and discrimination between oil spills and look-alike phenomena through neural networks , 2007 .

[44]  John W. Salisbury,et al.  Thermal infrared remote sensing of crude oil slicks , 1993 .

[45]  Marc Choquet,et al.  REMOTE THICKNESS MEASUREMENT OF OIL SLICKS ON WATER BY LASER-ULTRASONICS , 1993 .

[46]  H. Assilzadeh,et al.  Oil Spill emergency response mapping for coastal area using SAR imagery and GIS , 2008, OCEANS 2008.

[47]  J P Hollinger,et al.  Oil Spills: Measurements of Their Distributions and Volumes by Multifrequency Microwave Radiometry , 1973, Science.

[48]  Vassilia Karathanassi,et al.  Potentiality of feed-forward neural networks for classifying dark formations to oil spills and look-alikes , 2009 .

[49]  Robert S. Rand,et al.  Methods of monitoring the Persian Gulf oil spill using digital and hardcopy multiband data. Technical report, January-July 1991 , 1992 .

[50]  Elliott R. Brown,et al.  OIL THICKNESS DETECTION USING WIDEBAND RADIOMETRY , 1995 .

[51]  Chris Pfeifer,et al.  A COMPARISON OF METHODS FOR LOCATING, TRACKING AND QUANTIFYING SUBMERGED OIL USED DURING THE T/B DBL 152 INCIDENT , 2008 .

[52]  Carl E. Brown,et al.  Remote Detection of Submerged Orimulsion with a Range-Gated Laser Fluorosensor , 2003 .

[53]  Konstantinos N. Topouzelis,et al.  Oil Spill Detection by SAR Images: Dark Formation Detection, Feature Extraction and Classification Algorithms , 2008, Sensors.

[54]  William J. Lehr.  THE POTENTIAL USE OF SMALL UAS IN SPILL RESPONSE , 2008 .

[55]  Ying Li,et al.  Satellite image processing and analyzing for marine oil spills , 2008, Geoinformatics.

[56]  A. M. Cross,et al.  Monitoring marine oil pollution using AVHRR data: observations off the coast of Kuwait and Saudi Arabia during January 1991 , 1992 .

[57]  Wei Tian,et al.  Oil spill monitoring using multi-temporal SAR and microwave scatterometer data , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[58]  Rudi Gens,et al.  Oceanographic Applications of SAR Remote Sensing , 2008 .

[59]  Giovanna Cecchi,et al.  LASER AND INFRARED TECHNIQUES FOR WATER POLLUTION CONTROL , 1993 .

[60]  Paris W. Vachon,et al.  Evaluation of eCognition for Assisted Target Detection and Recognition in SAR Imagery , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[61]  A. Samberg.  The state-of-the-art of airborne laser systems for oil mapping , 2007 .

[62]  L. K. Balick,et al.  Fluorescence emission spectral measurements for the detection of oil on shore , 1996 .

[63]  Donald R. Thompson,et al.  Correlation of oceanographic signatures appearing in synthetic aperture radar and interferometric synthetic aperture radar imagery with in situ measurements , 1997 .

[64]  Maurizio Migliaccio,et al.  A BPM Two-Scale Contrast Model , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[65]  B. Bingham,et al.  Method for rapid localization of seafloor petroleum contamination using concurrent mass spectrometry and acoustic positioning. , 2009, Marine pollution bulletin.

[66]  Steven G. Ackleson,et al.  Natural Oil Slicks in the Gulf of Mexico Visible From Space , 1993 .

[67]  Jacek Piskozub,et al.  A LIDAR SYSTEM FOR REMOTE MEASUREMENT OF OIL FILM THICKNESS ON SEA SURFACE , 1997 .

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

[69]  Maged Marghany,et al.  Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data , 2009, Int. J. Appl. Earth Obs. Geoinformation.

[70]  R. Solberg,et al.  ENVISYS -- A solution for automatic oil spill detection in the Mediterranean , 1997 .

[71]  Carl E. Brown,et al.  NEW SPACE-BORNE SENSORS FOR OIL SPILL RESPONSE , 2001 .

[72]  Heinrich Hühnerfuss,et al.  Natural and man-made sea slicks in the North Sea investigated by a helicopter-borne 5-frequency radar scatterometer , 1996 .

[73]  Nelson F. F. Ebecken,et al.  Automatic recognition of coastal and oceanic environmental events with orbital radars , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[74]  Maria Adamo,et al.  On the combined use of sun glint Modis and Meris signatures and SAR data to detect oil slicks , 2006, SPIE Remote Sensing.

[75]  W. Wiesbeck,et al.  A Study Of Passive Microwave Remotre Sensing , 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..

[76]  Masanobu Shimada,et al.  Results of the experiments using synthetic aperture radar onboard the European Remote Sensing Satellite 1. 4: Artificial oil pollution detection , 1996 .

[77]  Joseph V. Mullin,et al.  MAPPING OIL SPILL THICKNESS WITH A PORTABLE MULTISPECTRAL AERIAL IMAGER , 2008 .

[78]  Guido Ferraro,et al.  Geospatial modelling of metocean and environmental ancillary data for the oil spill probability assessment in SAR images , 2008, Remote Sensing.

[79]  L. Armstrong,et al.  INTEGRATION OF AIRBORNE AIS BRINGS A NEW DIMENSION TO THE DETECTION OF ILLEGAL DISCHARGE OF OIL SPILLS , 2008 .

[80]  Dario Tarchi,et al.  Towards an operational use of space imagery for oil pollution monitoring in the Mediterranean basin: a demonstration in the Adriatic Sea. , 2007, Marine pollution bulletin.

[81]  J. Monchalin.  Optical Detection of Ultrasound , 1986, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[82]  John Allen,et al.  ENHANCED OIL SPILL SURVEILLANCE, DETECTION AND MONITORING THROUGH THE APPLIED TECHNOLOGY OF UNMANNED AIR SYSTEMS , 2008 .

[83]  Miao-fen Huang,et al.  Analysis of water spectral features of petroleum pollution and estimate models from remote sensing data , 2008, China Symposium on Remote Sensing.

[84]  Liis Sipelgas,et al.  Elimination of oil spill like structures from radar image using MODIS data , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[85]  Ying Li,et al.  Oil spill monitoring using MODIS data , 2007, Other Conferences.

[86]  The Usefulness of Different RADARSAT Beam Modes in the Assessment of Oil Lakes and Polluted Surfaces in the Greater Burgan Oil Field, Kuwait , 1999 .

[87]  Bulgarelli Barbara,et al.  The Use of Ancillary Metocean Data for the Oil Spill Probability Assessment in SAR Images , 2008 .

[88]  Ying Li,et al.  Remote sensing of marine oil spills and its applications , 2008, China Symposium on Remote Sensing.

[89]  Stefano Pignatti,et al.  Use of airborne hyperspectral images to assess the spatial distribution of oil spilled during the Trecate blow-out (Northern Italy) , 1995, Remote Sensing.

[90]  Oscar Garcia-Pineda,et al.  Synthetic Aperture Radar Image Processing using the Supervised Textural-Neural Network Classification Algorithm , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[91]  T. J. Murphy,et al.  Remote measurement of oil spill thickness , 1997 .

[92]  Maurizio Migliaccio,et al.  Wavelet polarimetric SAR signature analysis of sea oil spills and look-alike features , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[93]  Xiao-Hai Yan,et al.  The Maximum Similarity Shape Matching (MSSM) feature tracking method applied to an oil spill observed in SAR imagery , 1997 .

[94]  E. Noest,et al.  Oil spill detection system - results from field trials , 2006, OCEANS 2006.

[95]  R. Swift,et al.  Oil film thickness measurement using airborne laser-induced water Raman backscatter. , 1980, Applied optics.

[96]  Dario Tarchi,et al.  Long term monitoring of oil spills in European seas , 2009 .

[97]  Maged Marghany,et al.  Comparison between radarsat-1 SAR different data modes for oil spill detection by a fractal box counting algorithm , 2009, Int. J. Digit. Earth.

[98]  Jason Levy,et al.  Advances in Remote Sensing for Oil Spill Disaster Management: State-of-the-Art Sensors Technology for Oil Spill Surveillance , 2008, Sensors.

[99]  M. Migliaccio,et al.  A physical approach for the observation of oil spills in SAR images , 2005, IEEE Journal of Oceanic Engineering.

[100]  Franz Witte,et al.  Contributions to Oil-Spill Detection and Analysis with Radar and Microwave Radiometry: Results of the Archimedes II Campaign , 1987, IEEE Transactions on Geoscience and Remote Sensing.

[101]  Shailesh Nayak,et al.  Evaluation of high resolution MODIS-Aqua data for oil spill monitoring , 2008, Asia-Pacific Remote Sensing.

[102]  Guillem Chust,et al.  The multi-angle view of MISR detects oil slicks under sun glitter conditions , 2007 .

[103]  Marco Diani,et al.  An optical model for the interpretation of remotely sensed multispectral images of oil spill , 2008, Remote Sensing.

[104]  Per S. Daling,et al.  RECENT EXPERIENCE FROM MULTIPLE REMOTE SENSING AND MONITORING TO IMPROVE OIL SPILL RESPONSE OPERATIONS , 2008 .

[105]  Chris Pfeifer,et al.  LONG-TERM MONITORING OF SUBMERGED OIL IN THE GULF OF MEXICO FOLLOWING THE T/B DBL 152 INCIDENT , 2008 .

[106]  M. He,et al.  Oil spill mapping in the western part of the East China Sea using synthetic aperture radar imagery , 2008 .

[107]  Giorgio Giacinto,et al.  On the Mathematical Formulation of the SAR Oil-Spill Observation Problem , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[108]  V. Tramutoli,et al.  Robust Satellite Techniques (RST) for Oil Spill Detection and Monitoring , 2007, 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images.

[109]  Jacqueline Michel.  spiLLs Of nOnfLOaTing OiL: evaLuaTiOn Of respOnse TechnOLOgies , 2008 .

[110]  Maurizio Migliaccio,et al.  On the Use of Dual-Polarized SAR Data for Oil Spill Observation , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[111]  Marc Lesturgie,et al.  Exact electromagnetic modeling of the scattering of realistic sea surfaces for HFSWR applications , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[112]  Wei-Chuan Shih,et al.  Infrared contrast of crude-oil-covered water surfaces. , 2008, Optics letters.

[113]  Johannes Schulz-Stellenfleth,et al.  Use of tandem pairs of ERS-2 and ENVISAT SAR data for the analysis of oceanographic and atmospheric processes , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[114]  M. Fingas,et al.  Review of the development of laser fluorosensors for oil spill application. , 2003, Marine pollution bulletin.

[115]  Carl E. Brown,et al.  Development of airborne oil thickness measurements. , 2003, Marine pollution bulletin.

[116]  Guido Ferraro,et al.  On the SAR derived alert in the detection of oil spills according to the analysis of the EGEMP. , 2010, Marine pollution bulletin.

[117]  Chris D. Clark,et al.  Satellite remote sensing for marine pollution investigations , 1993 .

[118]  USE OF VERTICAL DIGITAL PHOTOGRAPHY AT THE BAYOU PEROT, LA SPILL FOR OIL MAPPING AND VOLUME ESTIMATION , 2008 .

[119]  K. Tahvonen,et al.  The Use of Environmental Data in Reliability Assessment of Oil Spill Detection by SAR Imagery , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.