Identifying Urban Areas using Time-Series Remote Sensing Techniques

Kim, Oh Seok (김오석)

Identifying Urban Areas using Time-Series Remote Sensing Techniques

Journal of the Korean Cartographic Association
Abbr : JKCA
2014, 14(2), pp.119-126
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography

Kim, Oh Seok ¹

¹고려대학교

Accredited

ABSTRACT

This paper introduces an exploratory approach that is based on time-series remote sensing techniques when identifying urban areas that are undergoing urbanization. By nature, urban sprawl is temporally and spatially dynamic; however, in the literature, the phenomenon has been typically identified with the remote sensing approaches that focus more on the spatial dimension of change than its temporal dimension. In this research, a seasonal trend analysis that focuses more on the time dimension is employed to identify urban areas in Northeast Asia between 1982 and 2002 with the support of the Geographic Information Systems/Remote Sensing (GIS/RS) computer software Idrisi. The seasonal trend analysis combines time-series Fourier analysis and time-series regression. It turns out that this exploratory approach is effective in analyzing and mapping spatiotemporal change of urban land-cover at the pixel level but is limited in delineating urban extents because of the discordance between urban land-cover and land-use. Therefore, when analyzing urban areas through time-series remote sensing as future research diverse map compositions are suggested to be explored along with the indices that quantify distinct temporal trends.

KEYWORDS

Urban sprawl, Seasonal trend analysis, AVHRR, NDVI, Idrisi

Citation status

* References for papers published after 2023 are currently being built.

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