The usage of radar images in oil spill detection

A. Akkartal*, F. Sunar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

29 Citations (Scopus)

Abstract

Discharge of oil including with the tanker accidents have the most dangerous and hazardous effects on marine environment. It is specified that annually more than 4.5 million tons of oil based disposals are poured out to the sea worldwide. The main waste source is the ship based operational discharges with an approximate %45 percentage.The world's %28 petroleum transfer passes through Mediterranean which makes the %50 of all the transfers in Mediterranean as risky and dangerous. Therefore Turkey, with its surrounded coasts and heavy tanker traffic, is under risk of petroleum hazard. An oil spill monitoring and detection system should be used to prevent and interfere immediately.In order to interfere the oil spill, it is important to identify the type, aerial extent, position, (nearest ship position if any), the possibility percentage etc. For this purpose, satellite-based oil pollution monitoring systems are being used to take precautions and even to determine the possible polluter. Today, Synthetic Aperture Radar (SAR) satellites are the main data sources to detect the oil spills discharged into the sea with sufficient accuracies. In this study, the advantages and disadvantages of using different radar images for oil spill detection in Marmara Sea were investigated.

Original languageEnglish
Pages (from-to)271-276
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume37
Publication statusPublished - 2008
Event21st International Congress for Photogrammetry and Remote Sensing, ISPRS 2008 - Beijing, China
Duration: 3 Jul 200811 Jul 2008

Bibliographical note

Publisher Copyright:
© 2008 International Society for Photogrammetry and Remote Sensing. All rights reserved.

Keywords

  • Filtering
  • GLCM
  • Oil spill detection
  • Radarsat-1 images
  • Texture measurements

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