MONITORING URBAN EXPANSION AND LAND-USE/LAND COVER DYNAMICS IN BAUCHI METROPOLIS, NIGERIA

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Aaron Andrew

Abstract

Rapid urbanization has become a major driver of Land-Use and land cover (LULC) change, with significant environmental consequences in developing countries. This study assessed urban expansion and LULC dynamics in Bauchi Metropolis, Nigeria, from 1990 to 2020 using multi-temporal Landsat imagery integrated with Remote Sensing and Geographic Information System (GIS) techniques. Landsat 5 TM (1990), Landsat 7 ETM+ (2010), and Landsat 8 OLI/TIRS (2020) images were classified into five LULC classes using the Maximum Likelihood Classification algorithm. Classification accuracy was evaluated using confusion matrices, Overall Accuracy, User's Accuracy, Producer's Accuracy, and the Kappa coefficient. Overall Accuracy values of 85.20%, 90.60%, and 91.20%, with Kappa coefficients of 0.813, 0.836, and 0.744, confirmed the reliability of the classified maps. Built-up area expanded from 42.56 km² (35.5%) in 1990 to 96.15 km² (80.2%) in 2020, while water bodies declined from 13.91 km² to 3.86 km². Transition matrix analysis identified vegetation as the principal source of urban expansion. The findings provide valuable evidence for sustainable urban planning, environmental conservation, and informed land management in rapidly urbanizing cities.

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MONITORING URBAN EXPANSION AND LAND-USE/LAND COVER DYNAMICS IN BAUCHI METROPOLIS, NIGERIA. (2026). Journal of Enviromental Sciences and Built Environental Research, 1(2), 250–264. https://doi.org/10.83374/jesber.vol1no2.58

References

Abdullahi, M. B., Sanusi, S., Abdul, S. D., & Sawa, F. B. J. (2009). An assessment of the herbaceous species vegetation of Yankari Game Reserve, Bauchi, Nigeria. American-Eurasian Journal of Agricultural and Environmental Science, 6(1), 20–25. https://www.researchgate.net/profile/S_Abdul/publication/263847620_An_Assessment_of_the_Herbaceous_Species_Vegetation_of_Yankari_Game_Reserve_Bauchi_Nigeria/links/00b7d53c05fc52b6f3000000.pdf

Akpu, B., Tanko, A. I., Jeb, D. N., & Dogo, B. A. (2017). Geospatial analysis of urban expansion and its impact on vegetation cover in Kaduna Metropolis, Nigeria. Asian Journal of Environment & Ecology, 3(4), 1–11. https://doi.org/10.9734/AJEE/2017/31149

Amaechi, C. F., Enuneku, A. A., Okhai, S. O., & Okoduwa, K. A. (2023). Geospatial assessment of deforestation in the Federal Capital Territory, Abuja, Nigeria from 1987 to 2021. Journal of Applied Sciences and Environmental Management, 27(11), 2457–2461.

Belgiu, M., & Drăguț, L. (2016). Random forest in remote sensing: A review of applications and future directions. ISPRS Journal of Photogrammetry and Remote Sensing, 114, 24–31. https://doi.org/10.1016/j.isprsjprs.2016.01.011

Bernard, A. C. (2019). Land use and land cover dynamics and the socio-economic implication in Mokwa, Niger State, Nigeria. https://doi.org/10.13140/RG.2.2.17445.24801

Bloch, R., Fox, S., Monroy, J., & Ojo, A. (2015). Urbanisation and urban expansion in Nigeria. Urbanisation Research Nigeria (URN), ICF International.

Congalton, R. G., & Green, K. (2019). Assessing the accuracy of remotely sensed data: Principles and practices (3rd ed.). CRC Press.

Enoguanbhor, E. C., Enoguanbhor, E., Chukwurah, G. O., Isimah, M. O., John-Nsa, C., Oloruntoba, E. O., Fotang, C., Ngwator, T., Ganbobga, N., Oladosu, O., & Agunbiade, M. E. (2024). Assessment of conformity to demarcated environmentally sensitive areas in land use plans: The case of Abuja, Nigeria. Town and Regional Planning, 84, 58–71. https://doi.org/10.38140/trp.v84i.7985

Fatusin, A. F., Oladehinde, G. J., & Ojo, V. (2019). Urban expansion and loss of agricultural land in Osogbo, Osun State, Nigeria, using multi-temporal imageries. Journal of African Real Estate Research, 4(1), 139–156. https://doi.org/10.15641/jarer.v4i1.735

Foody, G. M. (2020). Explaining the unsuitability of the Kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sensing of Environment, 239, Article 111630. https://doi.org/10.1016/j.rse.2019.111630

Güneralp, B., Reba, M., Hales, B. U., Wentz, E. A., & Seto, K. C. (2018). Trends in urban land expansion, density, and land transitions from 1970 to 2010: A global synthesis. Environmental Research Letters, 13(6), 063002.

Jeminiwa, O., Jeminiwa, M. S., Taiwo, D., Dauda, M., & Olaoti-Laaro, S. (2020). Assessment of forest degradation indices in Mokwa Forest Reserve, Niger State, Nigeria. Journal of Applied Sciences and Environmental Management, 24, 1351–1356.

Jensen, J. R. (2015). Introductory digital image processing: A remote sensing perspective (4th ed.). Pearson.

Koko, A. F., Yue, W., Abubakar, G. A., Alabsi, A. A. N., & Hamed, R. (2021). Spatiotemporal influence of land use/land cover change dynamics on surface urban heat island: A case study of Abuja metropolis, Nigeria. ISPRS International Journal of Geo-Information, 10(5), Article 272. https://doi.org/10.3390/ijgi10050272

Lambin, E. F., & Meyfroidt, P. (2011). Global land use change, economic globalization, and the looming land scarcity. Proceedings of the National Academy of Sciences, 108(9), 3465–3472.

Lillesand, T., Kiefer, R. W., & Chipman, J. (2015). Remote sensing and image interpretation (7th ed.). Wiley.

Makinde, A., Oladehinde, G., & Popoola, K. (2021). Urban expansion and rural landscape transformations in selected communities of Obafemi Owode Local Government Area of Ogun State, Nigeria. SN Social Sciences, 1, Article 191. https://doi.org/10.1007/s43545-021-00198-3

Mashi, S. A., Abdullahi, S. A., & Jenkwe, E. D. (2025). The multidimensional lens of urban sprawl: Spatiotemporal dynamics and governance in Abuja, Nigeria. Land Use Policy, 158, 107769. https://doi.org/10.1016/j.landusepol.2025.107769

Maxwell, A. E., Warner, T. A., & Fang, F. (2018). Implementation of machine-learning classification in remote sensing: An applied review. International Journal of Remote Sensing, 39(9), 2784–2817. https://doi.org/10.1080/01431161.2018.1433343

Musa, I. S., Hashim, M., & Md Reba, M. N. (2017). Urban growth assessment and its impact on deforestation in Bauchi Metropolis, Nigeria using remote sensing and GIS techniques. Journal of Engineering and Applied Sciences, 12, 1907–1914.

Olalekan, O., & Vaz, E. (2020). Data analysis of land use change and urban and rural impacts in Lagos State, Nigeria. Data, 5(3), 72. https://doi.org/10.3390/data5030072

Pirnazar, M., Ostad-Ali-Askari, K., Eslamian, S., Singh, V., Dalezios, N., Ghane, M., & Qasemi, Z. (2018). Change detection of urban land use and urban expansion using GIS and RS: Case study of Zanjan Province, Iran. International Journal of Constructive Research in Civil Engineering, 4. https://doi.org/10.20431/2454-8693.0401003

Roy, D. P., Wulder, M. A., Loveland, T. R., et al. (2014). Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145, 154–172.

Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy assessment of land use/land cover classification using remote sensing and GIS. International Journal of Geosciences, 8(4), 611–622. https://doi.org/10.4236/ijg.2017.84033

Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, 109(40), 16083–16088.

Singh, A. (1989). Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10(6), 989–1003.

Usman, H.A, Mohammed, B.U. (2012). Solid waste management in Bauchi, Nigeria (Obstacles and prospects). Journal of Environmental Science and Resources Management, 4, 96-107. Retrieved from www.cenresinpub.org

Wulder, M. A., Loveland, T. R., Roy, D. P., et al. (2019). Current status of Landsat program, science, and applications. Remote Sensing of Environment, 225, 127–147.

Yakubu, S., Ojo, I. O., & Yakubu, D. A. (2020). Urban expansion and land use changes in Akure, Nigeria using geospatial technique. Ethiopian Journal of Environmental Studies and Management, 13(3), 291–300.

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