Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84197
Title: Assessing urban growth dynamics of major Southeast Asian cities using night-time light data
Authors: Kamarajugedda, Shankar Acharya
Mandapaka, Pradeep Venkata
Lo, Edmond Yat Man
Keywords: Urban Growth
Brightness Gradient
Issue Date: 2017
Source: Kamarajugedda, S. A., Mandapaka, P. V., & Lo, E. Y. M. (2017). Assessing urban growth dynamics of major Southeast Asian cities using night-time light data. International Journal of Remote Sensing, 38(21), 6073-6093.
Series/Report no.: International Journal of Remote Sensing
Abstract: This study analysed urban growth patterns for 15 Southeast Asian cities using remotely sensed night-time light data from1992 to 2012. We extracted three urban categories (countryside, peri-urban, and core-urban) for each city using objectively derived thresholds from the brightness gradient (BG) approach. The peri-urban and coreurban combined categories were generally found to increase over time for all cities whereas countryside urban category decreased implying strong spatial and temporal trends in urbanization. These trends were also found to be sensitive to geographic characteristics of cities. The study showed that the BG approach can be successfully applied to extract and study growth dynamics of different urban categories for Southeast Asian cities having range of demographic and socioeconomic conditions. The BG derived urban categories compared favourably with Landsat derived impervious areas, where the former was found to envelope the high percentage impervious region derived from the latter. The BG-derived urban areas are lastly compared against the population data to explore linkages with population growth.
URI: https://hdl.handle.net/10356/84197
http://hdl.handle.net/10220/45106
ISSN: 0143-1161
DOI: http://dx.doi.org/10.1080/01431161.2017.1346846
Rights: © 2017 Informa UK Limited, trading as Taylor & Francis Group. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Remote Sensing, Informa UK Limited, trading as Taylor & Francis Group. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/01431161.2017.1346846].
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metadata.item.fulltext: With Fulltext
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