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Determination of Urban Growth by the Night-Time Images

Determination of Urban Growth by the Night-Time Images

Emre Yücer, Arzu Erener
Copyright: © 2018 |Pages: 12
ISBN13: 9781522522553|ISBN10: 1522522557|EISBN13: 9781522522560
DOI: 10.4018/978-1-5225-2255-3.ch681
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MLA

Yücer, Emre, and Arzu Erener. "Determination of Urban Growth by the Night-Time Images." Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2018, pp. 7831-7842. https://doi.org/10.4018/978-1-5225-2255-3.ch681

APA

Yücer, E. & Erener, A. (2018). Determination of Urban Growth by the Night-Time Images. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Fourth Edition (pp. 7831-7842). IGI Global. https://doi.org/10.4018/978-1-5225-2255-3.ch681

Chicago

Yücer, Emre, and Arzu Erener. "Determination of Urban Growth by the Night-Time Images." In Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., 7831-7842. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2255-3.ch681

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Abstract

Urbanization in Turkey and in the world continues is increased especially in the last 30 years. Therefore, urban areas having a dynamic structure should be regularly monitored and the urban region should be determined. There is a need of accurate current data that enables to monitor the temporally changing urban development and land use at regular intervals. In order to determine the urban sizes the 2010 DMSP - OLS (US Air Force Meteorological Satellite Program – operational line scan system) night-time images are used. This study is adapted to all provinces of Turkey. Night-time images in the literature are mainly used for examining the global economic and demographic differences between countries. In order to determine the urban growth from night-time images two different image analysis including object-based and cell-based methods are used in this study. Object-oriented image analysis method includes image segmentation studies and cell-based classification method contains natural breaks and otsu method.

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