Assessing urban growth dynamics of major Southeast Asian cities using night-time light data
Kamarajugedda, Shankar Acharya
Mandapaka, Pradeep Venkata
Lo, Edmond Yat Man
Date of Issue2017
Interdisciplinary Graduate School
Institute of Catastrophe Risk Management
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.
International Journal of Remote Sensing
© 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].