• editor.aipublications@gmail.com
  • Track Your Paper
  • Contact Us
  • ISSN: 2456-8678

International Journal Of Rural Development, Environment And Health Research(IJREH)

Land use/ land cover classification and change detection mapping: A case study of Lagos state, Nigeria

A. E. Oseni , G.O Ode , A.T Kosoko

International Journal of Rural Development, Environment and Health Research(IJREH), Vol-4,Issue-4, July - August 2020, Pages 126-144, 10.22161/ijreh.4.4.2

Download | Downloads : 9 | Total View : 465


The study attempts to determine the land use/land cover expansion that occurred in the area over a period of thirty years. Multi temporal Landsat satellite images TM 1986, ETM+ 2001, 2006 and 2018 from the United States Geological Survey (USGS) website as primary dataset. Area of interest was clipped in ArcGIS environment and then enhanced and classified in ENVI. Using supervised classification algorithm, the images were classified into bare land, built-up area, vegetation and water body used to carry out change detection analysis or time series analysis. In-addition, figures from National Population Commission (NPC) were used. Change detection analyses was carried out on the imageries to obtain the physical expansion of the area. The Land Consumption Rate (LCR) and Land Absorption Coefficient (LAC) were determined as well. Accuracy assessment was carried out on the images classified using the confusion matrix with Ground truth image tool on ENVI. An overall kappa coefficient was generated from this assessment which proved to be a very good result. Results obtained from the analysis of built-up area dynamics for the past four decades revealed that the town has been undergoing urban expansion processes. There was an increase in the built-up area between 1986 and 2018 which is largely due to the increase in population of Lagos state based on its high Urbanization rate. Vegetation cover reduced between 1986 and 2001, which is reasonable considering the rate at which the built-up area was increasing. But between 2001 and 2006, vegetation increased a little, this due to farming in 2006. Bare land had an inconsistent change. The increase in bare land could be as result of bush burning while the reduction could be as a result of more farming in the state or development of more built-up areas. It is recommended that Global change research efforts should be encouraged through international research partnerships to establish international land use /land cover science program to bridge the gap between climate researchers, decision makers and land managers; There was more reduction in vegetation than increase which poised a great danger that could cause greenhouse effect on the environment. Government at all levels should ensure that all these land use/land cover types are maintained to save our ecological biodiversity.

Remote Sensing, GIS, Land use/Land cover, Satellite Imagery, Change detection.

[1] Abiodun O.E, Olaleye J.B, Dokia N.A, Odunaiya A.K (2011). Land Use Change Analysis in Lagos State, Nigeria, from 1984 to 2005 FIG Working week 2011 Bridging the Gap between Cultures Marrakech, Morocco, 18-22 May 2011
[2] Atanda R. J, Afonja Y. O, Atagbaza A. O, Nilanchal P (2015): Spatial Modelling and Mapping of the Land Use and Land Cover of Lagos Mainland Local Government, Lagos State, Nigeria, West Africa Using Geospatial Data.
[3] Google. (2017). Maps [Online]. http://maps.google.com [Accessed 2018].
[4] J. B. Olaleye, O. E. Abiodun1 and R. O. Asonibare (2012). Land-use and land-cover analysis of Ilorin Emirate between 1986 and 2006 using landsat imageries. African Journal of Environmental Science and Technology Vol. 6(4), pp. 189-198, April 2012 Available online at http://www.academicjournals.org/AJEST DOI: 10.5897/AJEST11.145 ISSN 1996-0786 ©2012 Academic Journals
[5] Jensen J.R. (2005): Introductory digital image processing: a remote sensing perspective. Upper saddle river, N.J. Prentice hall.
[6] Lloyd, J. (Ed) (2011). Biodiversity in encyclopedia of earth (eds),cutler. Cleveland (National council for science and the Environment, Washington, D.C)
[7] Meyer, W.B., (1995). The nature and Implications of Environmental Change: Past and Present Land-use and Land-cover in the USA, Consequences, Vol. 1, No. 1, Spring, p.24-33
[8] Moshen A. (1999). Environmental Land Use Change Detection and Assessment Using with Multi – temporal Satellite Imagery. Retrieved from Zanjan Province, Iran: Multi Agent-Based Modelling, Springer Theses, DOI: 10.1007/978-3-642-23705-8_2, Springer-Verlag Berlin Heidelberg 2012
[9] Mallupattu P.K and Sreenivasula R.J (2013): Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India
[10] Obiefuna, J. N., Nwilo, P. C., Atagbaza, A. O., & Okolie, C. J. (2012). Land Cover Dynamics Associated with The Spatial Changes in the Wetlands of Lagos/Lekki Lagoon System of Lagos, Nigeria. Journal of Coastal Research. http://dx.doi.org/10.2112/JCOASTRES-D-12-00038.1
[11] Shi W.Z (2008).Spatial Data Transformation in Urban Geographic Information Systems, Technologies and Applications in Urban Geographical Information Systems. Shanghai Science and Technology Publishing House, 1996, pp. 59-69.
[12] Turner B.L, Skole D, Sanderson S, Fischer G, Fresco L, Leemans R (1995) Land-use and landcover change science/research plan, IGBP report no. 35, HDP report no. 7, Stockholm and Geneva
[13] Wilkie, D.S., and Finn, J.T. (1996). Remote Sensing Imagery for Natural Resources Monitoring. Columbia University Press, New York. p. 295.
[14] Whittaker, R.H. (1960). Gradient Analysis of Vegetation. Department of population and Environmental Biology, University of California, Irvine.
[15] Yeates, Maurice and Garner, Barry (1976). The North American City. 2 Ed. New York: Harper 9 Row, Publishers, 1976.