SPATIO-TEMPORAL ANALYSIS OF LAND USE/LAND COVER DYNAMICS USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM IN THE BAGEL ZUNGUR WATERSHED, NORTH-CENTRAL NIGERIA

Authors

  • G.G. Jidauna
  • Z.D. Kushi FUDMA
  • I.A Ahmad

DOI:

https://doi.org/10/3303/jees.2025.0202/018

Keywords:

Geographic Information System, Land use/land cover, Remote sensing, Watershed

Abstract

Land use and land cover (LULC) dynamics are critical indicators of environmental change and watershed sustainability, particularly in ecologically sensitive highland regions. This study analysed the spatio-temporal patterns and dynamics of LULC change in the Bagel Zungur Watershed, North-Central Nigeria, over 30 years (1990–2020) using remote sensing and Geographic Information System (GIS) techniques. Landsat satellite images for 1990, 2000, 2010, and 2020 were obtained from the United States Geological Survey (USGS) and processed using ERDAS IMAGINE and ArcGIS software. A supervised classification approach based on a modified Anderson Level I classification scheme was used to classify the watershed into six land cover categories: bare soil, built-up area, cultivated land, forest/riparian vegetation, rock outcrop, and broad river/waterbody. The results reveal significant LULC changes characterised by a consistent expansion of cultivated land and built-up areas, alongside a marked decline in forest and riparian vegetation. Cultivated land increased from 52.05% of the total watershed area in 1990 to 60.49% in 2020, while forest/riparian vegetation declined from 31.63% to 20.93% over the same period. Built-up areas also showed a steady increase, reflecting population growth and expanding human activities. Water bodies remained relatively stable throughout the study period. The observed LULC changes indicate increasing anthropogenic pressure on the watershed, with implications for land degradation, ecosystem stability, and water resource sustainability. The findings provide a valuable baseline for proactive watershed management, land-use planning, and environmental conservation strategies in the region.

References

Abebe, G., Getachew, D. & Ewunetu, A. (2022). Analysing land-use/land-cover changes and their dynamics using remote sensing and GIS in Gubalafito District, Northeastern Ethiopia. SN Appl. Sci. 4, 30 (2022). https://doi.org/10.1007/s42452-021-04915-8

Aliero M.M., Ismail M.H., Alias M.S., Ambursa A.S., Muhammed A., Umar I., & Bunza R.M (2022). Spatiotemporal Assessment of Land Cover Change and Vegetation Degradation Using Remote Sensing in Kebbi State, Nigeria. In: El-Askray, Z.A., Karakus, M., Chamine, H.I (eds) Research Developments in Geotechnics, Geo-Informatics and Remote Sensing. CAJG 2019. Advances in Science, Technology & Innovation. Springer, Cham.https://doi.org/10.1007/978-3-030-72896-0_79

Anderson, J.R., Hardy, E.E., Roach, J.T., & Witmer, R.E. (1976). A land-use and land-cover classification system for remote sensing data. USGS Professional Paper 964, U.S. Geological Survey.

Baulies, X.I., & Szejwach, G. (1997). Survey of needs, gaps, and priorities on data for land use and land cover change research. LUCC Data requirements workshop, Barcelona 11-14 November 1997, LUCC report series 3

Burian, S.J., Brown, M.J., & McPherson, T.N. (2002). Evaluation of Land-Use/Land-Cover Datasets for Urban Watershed Modeling. IWA 5th International Conference on Diffuse / Nonpoint Pollution & Watershed Management, Milwaukee, WI, June 10 – 15, 2021.

Cayambe,J., Torres, B., Cabrera, F., Díaz-Ambrona, C.G.H., Toulkeridis, T., & Heredia, R.M. (2023). Changes of Land Use and Land Cover in Hotspots Within the Western Amazon: The Case of the Yasuni Biosphere Reserve. In: Zambrano Vizuete, M., Botto-Tobar, M., Diaz Cadena, A., Zambrano Vizuete, A. (eds) I+D for Smart Cities and Industry. RITAM 2021. Lecture Notes in Networks and Systems, Vol. 512. Springer, Cham. https://doi.org/10.1007/978-3-031-11295-9_15

Dan’azumi, S., & Olasunkanmi, A.B (2018). Flood Inundation and Hazard Mapping of River Zungur Watershed USING GIS AND HEC-RAS MODELS Nigerian Journal of Technology (NIJOTECH) 37(4): 1162 – 1167

Dass Local Government (DLG) (2021) Updated information on the relief landform of DASS https://www.manpower.com.ng/places/lga/133/dass

DASS LOCAL GOVERNMENT (DLG) 2022. Climate data, Weather by month, Average temperature (Nigeria) - Weather Spark. (n.d.). Weather Spark. https://weatherspark.com/y/61867/Average-Weather-in-Dass-Nigeria-Year-https://www.manpower.com.ng/places/lga/133/dass

Ejeh, U.L., Nanchi. S.U., & Ikpe, E. (2020). Evaluating Trends and Characteristics of Climatic Variables (Rainfall and Temperature) at Bauchi Weather Station, Nigeria. Gombe Journal

Iloeje N.P. (2009). A New Geography of Nigeria (5th Edition), Longman, Ibadan, Nigeria

Jidauna, G.G., Dabi, D.D., and Oche, C.Y. (2020). Spatio-Temporal Analysis of Selected Hydro-climatic Variables of the Tiga Dam Watershed, Kano State, Nigeria. FUDMA International Journal of Social Sciences, 2 (1), 19-38.

Jidauna, G.G., Joseph, N.N., Ndabula, N., & Oyatayo, K.T. (2018). Assessment of Land Use/Land Cover Changes in Dutsinma LGA of Katsina State, Nigeria (1988-2014). Journal of Environmental Sciences, 19 (1&2), 133–145.

Jidauna, G.G., Kwando, G.B., & Ndabula, C. (2023). Indigenous Perception of Climate Variability and Domestic Water Use in Communities in Kurfi LGA, Katsina State, Nigeria. Bokkos Journal of Science Report (B-JAREP), 2 (2), 30–52. https://jasrep.org/index.ph/jasrep DOI: 10.47452/bjasrep.v2i2.61.

Jidauna G. G., Ndabula C., Saidu B. J., Oyatayo T. K., Dahiru M. K., Dabi D. D., & Oche C. Y. (2016). Adaptation and Mitigation to Water Stress at the Safana Local Government Headquarters in Katsina State, Nigeria. International Journal of Natural Resource Ecology and Management, 1(3), 99–106. doi: 10.11648 /j.ijnrem.20160103.15.

Lillesand, T.M. & Kiefer, R. (1999). Remote Sensing and Image Interpretation. New York: John Wiley and Sons

Mahadi, H., Rashedul, H., & Mostafizur, R. (2023). Identifying land use/land cover (LULC) changes using a remote sensing and GIS approach: A case study in Bhaluka, Mymensingh, Bangladesh. Vol 7, 100293. Case Studies in Chemical and Environmental Engineering https://doi.org/10.1016/j.cscee.2022.100293

Muhammad, S. K., Ahmed, B., & Abdulkadir, A. (2022). Geospatial-based approach to siting a suitable cattle ranch in Bauchi state, Nigeria. DOI:10.30574/ijsra.2022.7.1.0193

Sadiku, Y., Labiru, M.A., Ismaila, A., Yekini, A., & Ologun. O.C. (2020). A Study of Alkaleri Forest Land-Cover Changes Using Satellite Remote Sensing in Bauchi State, Vol. 18. N0. 2 ISSN: 2006-7003 Journal of Meteorological and Climate Science AJOL

Udo, R. K. (1970). Geographical Regions of Nigeria. California: University Press.

Usaku, J. (2021). Detecting Vegetation Loss and its Ecological Impacts Using Geo-Spatial Techniques in Potiskum Local Government Area, Yobe State

Downloads

Published

2026-06-25

How to Cite

SPATIO-TEMPORAL ANALYSIS OF LAND USE/LAND COVER DYNAMICS USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM IN THE BAGEL ZUNGUR WATERSHED, NORTH-CENTRAL NIGERIA. (2026). FUDMA Journal of Earth and Environmental Sciences, 2(2), 226-237. https://doi.org/10/3303/jees.2025.0202/018

Similar Articles

1-10 of 27

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)