Journal of Remote Sensing Technology
Journal of Remote Sensing Technology(JRST)
ISSN:2330-1767(Print)
ISSN:2330-1775(Online)
Frequency: Annually
Website: www.bowenpublishing.com/jrst/
Projection of Future Changes in Landuse/Landcover Using Cellular Automata/Markov Model over Akure City, Nigeria
Abstract:
The tropical areas of West Africa including Akure City are experiencing rapid urbanization due to the increasing socio-economic growth and opportunities in the cities. As a result, the demand for space has brought about man’s alteration of the natural surface features, and this might continue in the near and far future years. Urbanization processes about Landuse/Landcover changes (LULCC) over Akure City were examined using Landsat TM, ETM+, and TIRS/OLI data for the periods 1986, 2000 and 2014. The Landsat images were subjected to pre-processing and classified using supervised classification scheme. Afterwards, the past and future (2028 and 2042) transitions, potential modification and extension of various surface features were evaluated on Land Change Modeler and the Cellular Automata/Markov chain projection model. The projected LULCC indicated a substantial increase in the built-up areas from 5.04% of the area covered in 2014 to 21.72% and 26.47% by 2028 and 2042 respectively. Consequently, the areas covered by vegetation and bare soil decreased during these periods. The observed rural (Ipinsa, Ibule, Shasha, Airport, NTA, etc.) and sub-urban (FUTA, Oba-Ile, Ijoka, Aule, Igoba, etc.) areas with abundant vegetation in the earlier periods have all experienced significant depletion and surface modifications in the later years. The study concludes that unabated vegetation loss and degradation could trigger serious environmental problems that are linked to increased surface thermal response, reduced infiltration and increased surface runoff.
Keywords:Urbanization; Markov Model; Landuse/Landcover; Landsat
Author: I. A. Balogun,K. A. Ishola

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