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Study of the Extraction of Urbanized Area in Seoul Using NDVI and NDBI

  • Journal of the Korean Cartographic Association
  • Abbr : JKCA
  • 2010, 10(2), pp.79-90
  • Publisher : The Korean Cartographic Association
  • Research Area : Social Science > Geography > Geography in general > Cartography

정재준 1 Soo-hyun Lee 2

1성신여자대학교
2(주) 재능교육 연구원

Candidate

ABSTRACT

Urban growth management is essential for sustainable urban growth. To manage urban growth, monitoring physical urban built-up area is a task of great significance. Although image classifications using satellite imagery are among the conventional methods for detecting urbanized area, they requires very tedious and hard work, especially if time-series remote sensing data have to be processed. In this paper, we propose an effective urbanized area detecting method based on normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI). To verify the proposed method, we extract urbanized area using two methods; one is conventional supervised classification method and the other is proposed method. Experiments shows that two methods are consistent with 98.1% in 1998, 99.3% in 2000, namely the consistency of two methods is very high. Because the proposed method requires no more process without band operations, it can reduce time and effort. Compared with the supervised classification method, the proposed combination method of vegetation indices can serve as quick and efficient alternatives for mapping urbanized area.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.