FLOODPLAIN ASSESSMENT WITH THE INTEGRATION OF REMOTE SENSING AND GIS: MERIC RIVER CASE STUDY

Authors

  • Ersan Batur
  • Derya Maktav

Keywords:

Remote Sensing, Geographic Information System, Classification, Flood, Accuracy Analysis

Abstract

In this study, Meric River flood that occured on 16 February 2010 is investigated by optical satellite images. The extent of flooding has been established by using multitemporal Landsat 5 TM images taken before, during and after the flood. With the help of these images, land cover and flood maps were generated and several evaluations were accomplished. Supervised and unsupervised classification techniques were applied for before, during and after flooding images. The data of the predominantly agricultural area, obtained by these classification techniques were compared with the data based on ground observations. These observational methods recorded on topographic maps executed by XI. Regional Directorate of State Hydraulic Works (DSI)-Edirne. It is determined that the data of the agricultural area obtained by the supervised classification method has a 91% accuracy compared to DSI ground based data. It is concluded that optical satellite images can be effectively  used for flood studies.

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References

[1] Showengerdt R.A. 2007. Remote Sensing Models and Methods for Image Processing. Third Edition, Tucson, Arizona, s.2-8.
[2] Özdemir, H. 2008. TaĢkınların Tahmini ve Risk Analizinde CBS UZAL ve Hidrolik Modellemenin Entegrasyonu. Çevre ve Orman Bakanlığı DSĠ Genel Müd. 5. Dünya Su Forumu Türkiye Bölgesel Hazırlık Toplantısı, s.131-142.
[3] Elachi, C. ve Zyl, J.V. 2006. Introduction to the Physics and Techniques of Remote Sensing. John Wiley and Sons Inc. Second Edition, s.111-113.
[4] Erdas Field Guide ERDAS Inc.(Erdas Worldwide Headquarters), Atlanta, Georgia, Fifth Edition 1999.
[5] Reddy, M.A. 2008. Remote Sensing And Geographical Information Systems.Third Edition, s.196-207.
[6] Liu, J.G. ve Mason, F.J. 2009. Essential Image Processing and GIS for Remote Sensing. John Wiley and Sons, Lmt.

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Published

23-01-2012

How to Cite

[1]
E. Batur and D. Maktav, “FLOODPLAIN ASSESSMENT WITH THE INTEGRATION OF REMOTE SENSING AND GIS: MERIC RIVER CASE STUDY”, JAST, vol. 5, no. 3, pp. 47–54, Jan. 2012.

Issue

Vol. 5 No. 3 (2012)

Section

Articles

License

The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.

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