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A comprehensive analysis and future projection of land use and land cover dynamics in a fast-growing city: A case study of Sekondi-Takoradi metropolis, Ghana

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dc.contributor.author Biney, Ernest
dc.contributor.author Forkuo, Eric Kwabena
dc.contributor.author Poku-Boansi, Michael
dc.contributor.author Asare, Yaw Mensah
dc.contributor.author Hackman, Kwame O.
dc.contributor.author Yankey, Daniel Buston
dc.contributor.author Agbenorhevi, Albert Elikplim
dc.contributor.author Annan, Ernestina
dc.date.accessioned 2026-04-16T10:42:57Z
dc.date.available 2026-04-16T10:42:57Z
dc.date.issued 2024-04-04
dc.identifier.citation Ernest Biney, Eric Kwabena Forkuo, Michael Poku-Boansi, Yaw Mensah Asare, Kwame O. Hackman, Daniel Buston Yankey, Albert Elikplim Agbenorhevi, Ernestina Annan, A comprehensive analysis and future projection of land use and land cover dynamics in a fast-growing city: A case study of Sekondi-Takoradi metropolis, Ghana, Scientific African, Volume 24, 2024, e02207, ISSN 2468-2276, https://doi.org/10.1016/j.sciaf.2024.e02207 en_US
dc.identifier.uri http://197.159.135.214/jspui/handle/123456789/1138
dc.description A Publication submitted to the West African Science Service Centre on Climate Change and Adapted Land Use and the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Climate Change and Land Use en_US
dc.description.abstract Sekondi-Takoradi is the most urbanized metropolis in the Western region of Ghana. Over the past two decades, it has experienced rapid shifts in both population density and land cover. Unfortunately, these transformations have significantly altered the natural landscape and expanded urban coverage. Previous studies have not established enough evidence on land use and land cover changes in the metropolis. For this reason, this study examined the existence, rate, and spatial distribution of land use and land cover as well as the future changes in land cover in the metropolis. Landsat imagery spanning from 1991, 2009, 2016, to 2023 provided the basis for evaluating the spatiotemporal dynamics of land use and cover within the metropolis. The Random Forest Classification algorithm was employed to categorize the images into three distinct classes: water, vegetation, and built-up areas. Analysis revealed a rapid growth in built-up areas by 63.08 km2 (32.91 %), accompanied by a decrease in vegetation and water coverage by 60.99 km2 (31.82 %) and 2.08 km2 (1.09 %) respectively. This highlights the accelerating urbanization trend, emphasizing the critical need for vigilant monitoring and controlled urban expansion to mitigate potential adverse effects. Projections for 2030 indicate further changes with water areas decreasing to 1.21 km2 (0.63 %), vegetation diminishing to 95.31 km2 (49.73 %), and built-up areas expanding to 95.14 km2 (49.64 %). This signifies a significant shift towards built-up areas, altering the metropolis’ land cover composition and potentially impeding the achievement of Sustainable Development Goal 11. Understanding these changes in land use and land cover holds significant value for policymakers, enabling them to effectively monitor and safeguard natural resources. en_US
dc.description.sponsorship The Federal Ministry of Research, Technology and Space (BMFTR) en_US
dc.language.iso en en_US
dc.publisher WASCAL en_US
dc.subject Land use and land cover en_US
dc.subject Landsat images en_US
dc.subject Geospatial techniques en_US
dc.subject Land compositions en_US
dc.subject Random forest en_US
dc.subject Sustainable development goals en_US
dc.title A comprehensive analysis and future projection of land use and land cover dynamics in a fast-growing city: A case study of Sekondi-Takoradi metropolis, Ghana en_US
dc.type Article en_US


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