THIRTY YEARS OF LAND-USE AND LAND-COVER CHANGE IN CALABAR METROPOLIS, NIGERIA GEOSPATIAL EVIDENCE AND PLANNING IMPLICATIONS
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Abstract
Objective: This study quantifies land-use and land-cover change in Calabar Metropolis, Nigeria, from 1992 to 2022 and interprets the planning significance of the observed transitions.
Method: Four classified spatial datasets were harmonised to a common 9,918.75-hectare extent and six classes: waterbody, sparse vegetation, dense vegetation, built-up area, bareland and wetland. The archived workflow used remote sensing, Geographic Information Systems, Random Forest classification, field validation and post-classification comparison. Because the source record did not report a confusion matrix or class-specific accuracy, no numerical accuracy claim is made.
Results: Tabulated outputs show dense vegetation declined from 950 to 525 hectares, while built-up land increased from 1,287.5 to 1,437.5 hectares. Wetland expanded by 281.25 hectares over the full period, sparse vegetation declined slightly, waterbody remained unchanged and bareland appeared after 2002. Strong inverse temporal correlations between built-up land and dense vegetation were descriptive rather than causal.
Implications: Planning should protect remaining vegetation, scrutinise conversion fronts, maintain drainage and wetland functions, and institutionalise periodic geospatial monitoring.
Contribution: The article reconciles internally inconsistent summary percentages by prioritising the complete tabulated series that balances to the mapped study-area total in every year and transparent interpretation for future monitoring.
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References
Abdullahi, S., Pradhan, B., & Mojaddadi, H. (2020). Urban growth modelling using remote sensing and GIS techniques: A case study of Nigerian cities. Remote Sensing Applications: Society and Environment, 20, 100410.
Adeoye, M. O., Fasinmirin, J. T., Olajiga, B., & Oguntunde, P. G. (2025). Remote sensing and GIS mapping of land use/land cover change (LU/LCC) of Akure South, Southwestern Nigeria over 2015–2025. African Journal of Environment and Natural Science Research, 8(3), 35–53.
Ajom, S. K. (2022). Effect of urban infrastructure on residential housing development in Calabar, Cross River State. Journal, 28(1), 123–132.
Ajom, S. K., Ndifreke, M., Ochiche, C., Salihu, A., & Okafor, M. (2024). Magnitude and drivers of land use change in Nsit Ibom Local Government Area of Akwa Ibom State. World Environment Journal, 4(1), 10–18.
Akinyemi, F. O., & Adepoju, K. A. (2021). Thirty years of land use/land cover changes and their impact on urban climate: A study of Kano Metropolis, Nigeria. Land, 10(11), 1106. https://doi.org/10.3390/land10111106
Asabere, S. B., Acheampong, R. A., Ashiagbor, G., Beckers, S. C., Keck, M., Erasmi, S., Schanze, J., & Sauer, D. (2020). Urbanization, land use transformation and spatial-environmental impacts: Analyses of trends and implications in major metropolitan regions of Ghana. Land Use Policy, 96, 104707. https://doi.org/10.1016/j.landusepol.2020.104707
Bassey, V. D. (2025). Geospatial analysis of land-use/land-cover changes and environmental implications: A case study of Calabar Metropolis [Master's thesis, Federal University of Technology, Owerri].
Chen, J., Peng, S., Zhu, Z., Liu, X., & Wang, M. (2018). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 143, 73–87. https://doi.org/10.1016/j.isprsjprs.2018.06.014
Congalton, R. G., & Green, K. (2018). Assessing the accuracy of remotely sensed data: Principles and practices (3rd ed.). CRC Press.
Egbai, E. O., Eteng, E. O., Ajom, S. K., Ochiche, C. A., & Okang, A. O. (2023). Yield trend variability of selected crops in agro-ecological zones of Northern Cross River State, Nigeria. World Environmental Journal, 3, 14–25.
Eneyo, V. B. (2025a). Environment: An introduction to environmental science. IDbeyond Printing Press.
Eneyo, V. B. (2025b). Essentials of tourism for beginners. University of Calabar Press.
Eneyo, V. B. (2025c). Tourism for beginners II. University of Calabar Press.
Eneyo, V. B. (2026a). Tourism support services, environmental management and sustainable destination development in Uyo, Nigeria: Spatial and socio-economic evidence. Journal of Environmental Sciences and Built Environment Research, 1(1), 227–240. https://doi.org/10.83374/jesber.vol1no1.23
Eneyo, V. B. (2026b). Where the city eats: Spatial clustering, distance-decay and patronage rhythms of eateries in Calabar, Nigeria. Journal of Environmental Sciences and Built Environment Research, 1(1), 1–13.
Eneyo, V. B., & Archibong, A. A. (2024). Examining socio-economic implications of tourism development in Nigeria. World Tourism Journal, 2(2), 61–82.
Eneyo, V. B., & Ekpenyong, E. J. (2018). Spatial distribution of petrol filling stations in Calabar South Local Government Area, Cross River State. Multi-Disciplinary Journal of Research and Development Perspectives, 7(1), 66–83.
Eneyo, V. B., Atemgweye, G. I., Imanyi, V. U., & Essien, D. A. (2023). Tourism as a catalyst for entrepreneurial development: Insights from Cross River State, Nigeria. World Tourism Journal, 1, 1–19.
Eneyo, V. B., Onnoghen, U. N., Apeh, C. A., Ajom, S. K. O., Ugbaka, M. A., Odey, F. I., et al. (2026). Conservation constraints and aquatic livelihood transitions among riverine women in the Cross River Basin, Nigeria. Egyptian Journal of Aquatic Biology and Fisheries, 30(3), 3845–3869.
Eneyo, V. B., Onnoghen, U. N., Apeh, C. A., Ajom, S. K. O., Ugbaka, M. A., & Odey, F. I. (2026). Conservation constraints and aquatic livelihood transitions among riverine women in the Cross-River Basin, Nigeria. Egyptian Journal of Aquatic Biology and Fisheries, 30(3), 3845–3869.
Fonte, C. C., & Said-Metwaly, S. (2018). Validation of land cover maps using crowdsourced data. ISPRS Journal of Photogrammetry and Remote Sensing, 135, 103–114. https://doi.org/10.1016/j.isprsjprs.2017.11.019
Foody, G. M. (2019). The importance of supervised learning in land cover classification. Remote Sensing, 11(19), 2347. https://doi.org/10.3390/rs11192347
Grimm, N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Wu, J., Bai, X., & Briggs, J. M. (2008). Global change and the ecology of cities. Science, 319(5864), 756–760. https://doi.org/10.1126/science.1150195
Griscom, B. W., Adams, J., Ellis, P. W., et al. (2017). Natural climate solutions. Proceedings of the National Academy of Sciences, 114(44), 11645–11650. https://doi.org/10.1073/pnas.1710465114
Hatab, A. A., Cavinato, M. E. R., Lindemer, A., & Lagerkvist, C. J. (2019). Urban sprawl, food security and agricultural systems in developing countries: A systematic review. Cities, 94, 129–142.
Ibrahim, G. A., Balogun, A. L., & Tella, A. (2022). Assessment of land use/land cover changes and land surface temperature variations in Nigerian urban environments using geospatial techniques. Environmental Science and Pollution Research, 29, 67842–67858.Ezeomedo, I. C., & Igbokwe, J. I. (2023). Monitoring urban expansion and land cover transformation using GIS and remote sensing techniques in rapidly growing Nigerian cities. Geocarto International, 38(12), 2451–2470.
Iwuji, M. C., Diagi, B. E., Agidi, V. A., Ahukaemere, C. M., Bassey, V. D., & Ugochukwu, C. P. (2025). Geospatial analysis of land use/land cover changes and environmental implications: A case study of Calabar Metropolis. Proceedings of the International Conference on Procurement, Environmental and Social Standards: Key to Sustainable Livelihood in the 21st Century. https://doi.org/10.5281/zenodo.15611056
Jayeola, T., & Orlíková, L. (2025). Analyzing land cover changes (2013–2024) using remote sensing: A case study of Lagos City, Nigeria. International Journal of Geoinformatics, 21(5), 123–131. https://doi.org/10.52939/ijg.v21i5.4167
Kolo, K., Adnan, N. A., & Umar, B. A. (2020). Analysis of land use land cover changes using remote sensing data and geographical information systems (GIS) at an urban setup of Damaturu, Nigeria. Journal of Science and Technology, 12(2), 24–37.
Kong, X., Zhou, Z., & Jiao, L. (2021). Hotspots of land-use change in global biodiversity hotspots. Resources, Conservation and Recycling, 174, 105770.
Ogunleye, A. J., & Adeyemi, A. A. (2022). Extent of urbanization impact on forest resources in Oju Local Government Area, Benue State, Nigeria. Journal of Global Ecology and Environment, 16(2), 1–15.
Okang, A. O., Egbai, O. O., Uquetan, U. I., Ochiche, C. A., Uttah, C. E., & Agbochom, E. E. (2024). Retrospective assessment of changes in yield quantity of selected arable crops in North-East Cross River State, Nigeria.
Okpi Liya, S. K., Oka, F. I., Ekong, P. O., & Ajom, S. K. (2016). Assessment of anthropogenic factors as drivers of degradation of floral diversity in some agrarian communities in Boki, Cross River State, Nigeria. Global Journal of Environmental Science and Technology, 4(4), 413–422.
Olaniyi, A. O., Ajibola, M. O., & Olutimehin, I. O. (2021). Land use and land cover change analysis using remote sensing and GIS techniques in southwestern Nigeria. Environmental
Ubi, S. E. (2025). The use of recycled plastics as interlock materials. International Journal of Structural Engineering, 7, 5018–5159.
Uchegbue, H. O., Nwogwugwu, C. E., Ebegbulem, V. N., Egbai, J. M., & Eni, E. I. (2025). Self-correction vs. lecturer-correction: Effects on research achievement and alcohol use in intellectual disabled undergraduates in Federal Universities of Southern Nigeria. Journal of Intellectual Disability-Diagnosis and Treatment, 13(2), 192–221.
Uchegbue, H. O., Nwogwugwu, C. E., Ebegbulem, V. N., Egbai, J. M., & Eni, E. I. (2025). Effects on research achievement and alcohol use in intellectual disabled undergraduates in Federal Universities of Southern Nigeria. Journal of Intellectual Disability-Diagnosis and Treatment, 13(2), 192–221.