Spatiotemporal Analysis of Land Use Land Cover Mapping and Change Detection in Dambatta Local Government Area


  • David Sesugh Aule

    Department of Geography, Nigerian Defence Academy, Kaduna, PMB 2109, Nigeria

  • Mamman Saba Jibril

    Department of Geography, Nigerian Defence Academy, Kaduna, PMB 2109, Nigeria

  • Ali Hussain Idris

    Nigerian Airforce Headquarters, Abuja, PMB 0244, Nigeria

Received: 6 May 2023 | Revised: 21 June 2023 | Accepted: 27 June2023 | Published Online: 17 July 2023


This research studied the spatiotemporal changes in land use (LU)/land cover (LC) in Dambatta local government area, with a view to identifying the effect arising from the observable changes in land use patterns. The imageries used in the study were obtained from the National Space Research and Development Agency (NARSDA), Abuja. Spatial analytical techniques and descriptive statistical techniques were employed to analyze the data. The results showed 66.8% reduction in agricultural lands, 45.5% reduction in vegetation cover, 223.2% increase in built-up areas, 269.1% increase in bare lands and 70% increase in water bodies within the 20 years. Spatio-temporal analysis of the three imageries revealed that agricultural lands were largely been taken over by urbanization while vegetation had rapidly given way to bare lands within the 20 years. It was observed that these changes resulted from anthropogenic activities, environmental factors and climate change. These result in the loss of farmlands, inadequate food supply, unemployment, inadequate industrial raw materials, reduction in revenue generated, forest depletion, desertification, wildlife extinction and temperature increase. While it is recommended that reforestation, land reclamation and irrigation agriculture should be promoted in the area, it is also suggested that further research should focus on the impact of climate change on land cover change in the area.


Dambatta; GIS; Land cover; Land use; Spatio-temporal changes


[1] Sesha Sai, M.V., Ramana, K.V., Hebbar, R. (editors), 2007. Satellite remote sensing for efficient coastal agriculture. International Symposium on Management of Coastal Ecosystems; 2007 Oct 27-30; Kolkata.

[2] Stroosnijder, L., Fresco, L.O., Duiker, S.W., 1994. Imaginable futures, a contribution to thinking about land use planning. The future of land: Mobilizing and integrating knowledge for land use options. John Wiley and Sons: Chichester. pp. 1-8.

[3] Kebede, G., 2010. GIS Based Surface Irrigation Potential Assessment of River Catchment for Irrigation Development in Dale Woreda, Sidama Zone, SNNP, School of Natural Resource and Environmental Engineering, Haramaya University

[4] Turner, I.I., Ross, R.H., Skole, O.L., 1993. Relating Land Use and Global Land-Cover Change: A Proposal for an IGBP-HDP Core Project [Internet]. A Report from the IGBP/HDP Working Group on Land-Use/Land-Cover Change. Available from:

[5] Lillesand, T., Kiefer, R.W., Chipman, J., 2015. Remote sensing and image interpretation, 7th Edition. John Willey and Sons: New York. pp. 804.

[6] Obiahu, O.H., Yan, Z., Uchenna, U.B., 2021. Spatiotemporal analysis of land use land cover changes and built-up expansion projection in predominantly dystric nitosol of Ebonyi state, Southeastern, Nigeria. Environmental Challenges. 4, 100145. DOI:

[7] Keogh, M.E., Törnqvist, T.E., 2019. Measuring rates of present-day relative sea-level rise in low-elevation coastal zones: A critical evaluation. Ocean Science. 15(1), 61-73. DOI:

[8] Hoegh-Guldberg, O., Masson-Delmotte, V., Zhai, P., et al., 2018. Impacts of 1.5°C Global Warming on Natural and Human Systems [Internet]. Available from:

[9] Mentaschi, L., Vousdoukas, M.I., Pekel, J.F., et al., 2018. Global long-term observations of coastal erosion and accretion. Scientific Reports. 8(1), 12876. DOI:

[10] Pendergrass, A.G., 2018. What precipitation is extreme?. Science. 360(6393), 1072-1073. DOI:

[11] Jadkowski, M.A., Howard, R.R., Brostuen, D.E., 1990. Application of SPOT data for regional growth analysis and local planning. Photogram metric Engineering and Remote Sensing. 56(2), 175-180.

[12] Treitz, P.M., Howard, P.J., Gong, P., 1992. Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: A case study. Journal of Photogram metric Engineering and Remote Sensing. 58, 439-448.

[13] Dangulla, M., Abd Munaf, L., Mohammad, F.R., 2020. Spatio-temporal analysis of land use/land cover dynamics in Sokoto Metropolis using multi-temporal satellite data and land change modeller. The Indonesian Journal of Geography. 52(3), 306-316.

[14] Campbell, J.B., Wynne, R.H., 2002. Introduction to remote sensing, 3rd edition. The Guilford Press: New York. pp. 621.

[15] Star, J.L., Estes, J.E., 1993. Remote Sensing and GIS Integration: Towards a Prioritized Research Agenda (93-4) [Internet] [cited 2021 Mar 21]. Available from:

[16] Focardi, S., Loiselle, S.A., Mazzuoli, S., et al., 2008. Satellite-based indices in the analysis of land cover for municipalities in the province of Siena, Italy. Journal of Environmental Management. 86(2), 383-389.

[17] Cihlar, J., 2000. Land cover mapping of large areas from satellites: Status and research priorities. International Journal of Remote Sensing. 21(6-7), 1093-1114.

[18] Jansen, L.J., Di Gregorio, A., 2002. Parametric land cover and land-use classifications as tools for environmental change detection. Agriculture, Ecosystems & Environment. 91(1-3), 89-100.

[19] Rogan, J., Chen, D., 2004. Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning. 61(4), 301-325.

[20] Weng, Q., 2009. Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS Journal of Photogrammetry and Remote Sensing. 64(4), 335-344.

[21] Hansen, M.C., DeFries, R.S., Townshend, J.R., et al., 2000. Global land cover classification at 1 km spatial resolution using a classification tree approach. International Journal of Remote Sensing. 21(6-7), 1331-1364.

[22] Foody, G.M., 1998. Sharpening fuzzy classification output to refine the representation of sub-pixel land cover distribution. International Journal of Remote Sensing. 19(13), 2593-2599.

[23] Mannan, B., Roy, J., Ray, A.K., 1998. Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images. International Journal of Remote Sensing. 19(4), 767-774.

[24] Van Der Meer, F., 1995. Spectral unmixing of landsat thematic mapper data. International Journal of Remote Sensing. 16(16), 3189-3194.

[25] Raji, B.A., 2004. Agricultural land use planning and management in Kadawa irrigation scheme, Kano State. Paper presented at the National Workshop on Satellite Remote Sensing (NigeriaSat-1) and GIS: A Solution to Sustainable National Development Challenges; 2004 Jun 15-17.

[26] Dolman, A.J., Moors, E.J., Elbers, J.A., 2002. The carbon uptake of a mid latitude pine forest growing on sandy soil. Agricultural and Forest Meteorology. 111(3), 157-170.

[27] Jibril, M.S., Aule, D.S., Idris, A.H., 2022. Land cover changes in Danbatta local government area of Kano State, Nigeria. AFRIGIST Journal of Land Administration and Environmental Management. 2(1), 27-38.

[28] Jibril, M.S., Aule, D.S., Idris, A.H., 2022. Assessment of land degradation in Dambatta local government area using remote sensing techniques. Advances in Remote Sensing. 11(4), 67-181. DOI:

[29] Mohammed, M. A., 2015. Impact of Soil Microbial Respiration on Atmospheric Carbon Under Different Land Use in Part of Kano State, Northern Nigeria. International Journal of Animal Biology. Vol. 1, No. 5, 2015, pp. 158-164.

[30] Olofin, E.A., 1987. Some effects of Tiga Dam on the environmental downstream in Kano River Basin [Ph.D. thesis]. Zaria: Department of Geography, A.B.U.

[31] Smith, D.R., Chandra, S., Barth, R.F., et al., 2001. Quantitative imaging and microlocalization of boron-10 in brain tumors and infiltrating tumor cells by SIMS ion microscopy: Relevance to neutron capture therapy. Cancer Research. 61(22), 8179-8187.

[32] Jensen, J.R., 1996. Introductory digital image processing: A remote sensing perspective, 2nd Edition. Prentice Hall, Inc.: Upper Saddle River, NJ.


How to Cite

Sesugh Aule, D., Saba Jibril, M., & Hussain Idris, A. (2023). Spatiotemporal Analysis of Land Use Land Cover Mapping and Change Detection in Dambatta Local Government Area. Journal of Geographical Research, 6(3), 18–28.


Article Type