Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • 2007.03a
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  • Pages.55-60
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  • 2007
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지

Prediction of Future Land use Using Times Series Landsat Images Based on CA (Cellular Automata)-Markov Technique

시계열 Landsat 영상과 CA-Markov기법을 이용한 미래 토지이용 변화 예측

  • 이용준 (건국대학교 일반대학원 사회환경시스템공학과) ;
  • 박근애 (건국대학교 일반대학원 지역건설환경공학과) ;
  • 김성준 (건국대학교 생명환경과학대학 사회환경시스템공학과)
  • Published : 2007.03.29
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Abstract

The purpose of this study is to evaluate the temporal land cover change by gradual urbanization of Gyeongan-cheon watershed. This study used the five land use of Landsat TM satellite images(l987, 1991, 2001, 2004) which were classified by maximum likelihood method. The five land use maps examine its accuracy by error matrix and administrative district statistics. This study analyze land use patterns in the past using time.series Landsat satellite images, and predict 2004 year land use using a CA-Markov combined CA(Cellular Automata) and Markov process, and examine its appropriateness. Finally, predict 2030, 2060 year land use maps by CA-Markov model were constructed from the classified images.

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