Please use this identifier to cite or link to this item: http://197.159.135.214/jspui/handle/123456789/1138
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dc.contributor.authorBiney, Ernest-
dc.contributor.authorForkuo, Eric Kwabena-
dc.contributor.authorPoku-Boansi, Michael-
dc.contributor.authorAsare, Yaw Mensah-
dc.contributor.authorHackman, Kwame O.-
dc.contributor.authorYankey, Daniel Buston-
dc.contributor.authorAgbenorhevi, Albert Elikplim-
dc.contributor.authorAnnan, Ernestina-
dc.date.accessioned2026-04-16T10:42:57Z-
dc.date.available2026-04-16T10:42:57Z-
dc.date.issued2024-04-04-
dc.identifier.citationErnest 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.e02207en_US
dc.identifier.urihttp://197.159.135.214/jspui/handle/123456789/1138-
dc.descriptionA 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 Useen_US
dc.description.abstractSekondi-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.sponsorshipThe Federal Ministry of Research, Technology and Space (BMFTR)en_US
dc.language.isoenen_US
dc.publisherWASCALen_US
dc.subjectLand use and land coveren_US
dc.subjectLandsat imagesen_US
dc.subjectGeospatial techniquesen_US
dc.subjectLand compositionsen_US
dc.subjectRandom foresten_US
dc.subjectSustainable development goalsen_US
dc.titleA comprehensive analysis and future projection of land use and land cover dynamics in a fast-growing city: A case study of Sekondi-Takoradi metropolis, Ghanaen_US
dc.typeArticleen_US
Appears in Collections:Climate Change and Land Use

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