Application of CA-Markov Model for the Analysis of Urban Growth in Gumel Town Jigawa State of Nigeria

Gumel Muhammad Lawan Ali, Mohd Khairul Amri Kamarudin and Muhammad Alhaji
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Gumel Muhammad Lawan Ali: East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Nerus, Terengganu, Malaysia
Mohd Khairul Amri Kamarudin: Faculty of Applied Social Science (FSSG), Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Nerus, Terengganu, Malaysia
Muhammad Alhaji: Deportment of Geography, Faculty of Earth and Environmental Sciences Kano University of Science and Technology wudil, Nigeria

The Journal of Social Sciences Research, 2021, vol. 7, issue 1, 1-6

Abstract: The land use land cover change and its modeling approach has recently been considered by the scientific community to observe environmental changes. Remote Sensing and Geographical Information System (GIS) give major techniques which can be useful in the analysis at the town locale as well as the city levels. RS data from Thematic Mapper sensor of 1998, 2002, 2010, 2014, and 2018, Operational Land Imager of 2018 were used for the analysis. The study used a supervised classification technique for classification, and Cellular Automata Markovian (CA-Markov) Model analysis was used for future projection of 2038. The result shows that the projected the year 2038 with 0.9079 K-standard value of stimulation, the study further uses Maximum likelihood classifier (MLC) a supervised classification method to classify the images. The study reveals a continuous pattern of urban growth from 3.96 km2 in 2018 to 4.73 in 2038 in terms of settlement growth, dense vegetation has decreased from 11.73 in 2018 to 8.55 in 2038 also shrubland has decreased from 44.82 to 36.30, the last bare land has increased more than all the classes from 162.69 to 173.69. The findings of the present study are useful for planners and decision-makers in sustainable natural resource management.

Keywords: CA- markov analysis; GIS; Land use; Remote sensing; Urban; Gumel town; Urbanization. (search for similar items in EconPapers)
Date: 2021
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