Oil-spill detection using generalized linear model and genetic algorithm: A case study in Lebanon


ÖZKAN C., Sunar A. F.

28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote Sensing for a Changing Europe, İstanbul, Turkey, 2 - 05 June 2008, pp.180-187 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.3233/978-1-58603-986-8-180
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.180-187
  • Erciyes University Affiliated: Yes

Abstract

Oil spill discharges have serious biological and economic impacts upon the marine environment. One of the most hazardous land-based threats with an estimation of 110,000 barrels of oil discharges was occurred in the Lebanon coast of the eastern Mediterranean Sea recently. Because of not enough cleaning activities, the oil pollution has spread 100 miles along the coast and effected also to Syria's shoreline. Depending on the wind and current condition, the spilled oil could also be a big threat to other neighborhood countries such as Turkey, Greece, and Cyprus.