Urban sprawl shape description / N. Laila A. Ghani, Siti Z.Z. Abidin and N. Elaiza A. Khalid

A. Ghani, N. Laila and Z. Abidin, Siti Z. and A. Khalid, N. Elaiza (2014) Urban sprawl shape description / N. Laila A. Ghani, Siti Z.Z. Abidin and N. Elaiza A. Khalid. Malaysian Journal of Computing (MJoC), 2 (1): 3. pp. 27-36. ISSN 2600-8238


Urban sprawl is the out-of-control growth of urban area as a result of improper urbanization plan. Literatures have characterized various forms of urban sprawl that includes low-density and leapfrog sprawl. The forms of sprawl can be modelled via satellite remote sensing images. This research is mainly about classifying the forms of urban sprawl by using pixel-based approach and representing the sprawl shape using centroid distance Fourier descriptor. The datasets are in the form of Landsat Thematic Mapper(TM) images of Klang Valley, Malaysia, at spatial resolution of 30 meters where each pixel in the image represents the area of 900 square meters on the ground. Results obtained show that the Fourier descriptor graph representation of low-density sprawl is denser than leapfrog sprawl. Due to the rapid urbanization process in Malaysia, it is important to identify the sprawling pattern for a better decision making in planning potential land area to be developed.


Item Type: Article
Email / ID Num.
A. Ghani, N. Laila
Z. Abidin, Siti Z.
A. Khalid, N. Elaiza
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: 2600-8238
Volume: 2
Number: 1
Page Range: pp. 27-36
Keywords: Urban sprawl; remote sensing; shape description; Fourier descriptor
Date: 2014
URI: https://ir.uitm.edu.my/id/eprint/61434
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