Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria

Open access

Abstract

Over the years, Osun drainage basin has witnessed tremendous increase in population, and urbanization that have changed the landscape of the area. This study evaluated the spatio-temporal pattern of land use/land cover change (LULC) in the study area, and made hydrological inferences. Landsat imageries were acquired from USGS-EROS satellite image database for the period 1984, 2000 and 2015, while the Digital Elevation Model (DEM) was obtained from Shuttle Radar Topography Mission (SRTM) of the National Aeronautics and Space Agency (NASA). Supervised image classification using the Maximum Likelihood Algorithm in Erdas Imagine was adopted to classified the land use/land cover of the study area into seven classes. Elevation, aspect and slope of the study area were processed from DEM using ArcGIS. Modules for Land Use Change Evaluation (MOLUSCE) plugin in QGIS was used to simulate the basin future LULC change, using change driving factors of population, elevation, aspect and slope of the study area. There was about 234% increase in built up areas and 89.22% in crop/shrubs between 1984 and 2015. The most significant decrease in LULC occurred in forest (58.75%) and wetland (84.69%) during this period. The predicted future LULC change suggests that only about 12% of the basin will remain under forest cover by the year 2046. The results underscored the increasing anthropogenic activities in the basin that influenced recharge rate, surface runoff, incidences of soil erosion, etc., in Osun drainage basin. The planting of the lost native trees was recommended for the sustainability of the basin’s ecosystem.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Akinwumiju A. S. 2015. GIS-based integrated approach to groundwater potential assessment of Osun drainage basin Southwestern Nigeria. (Ph.D. Thesis) Obafemi Awolowo University Ile-Ife Nigeria.

  • Akinyemi F. O. 2005. Mapping land use dynamics at a regional scale in southwestern Nigeria. Retrieved from www.isprs.org/proceedings/2005/hannover05/paper/149-akinyemi.pdf on 22/08/2016.

  • Ashaolu E. D. 2018. Effect of climate and land use/land cover change on groundwater recharge in Osun drainage basin Nigeria. (Ph.D. Thesis) University of Ilorin Ilorin Nigeria.

  • Ashaolu E. D. 2016. The Osun drainage basin in the western lithoral hydrological zone of Nigeria: A morphometric study. GEOGRAFIA-Malaysian Journal of Society and Space 12 (8) 71–88.

  • Ashraf A. 2013. Changing hydrology of the Himalayan watershed. Current perspectives in contaminant hydrology and water resources sustainability. P. M. Bradley IntechOpen DOI: 10.5772/54492.

  • Butt A. Shabbir R. Ahmad S. S. Aziz N. 2015. Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed Islamabad Pakistan. The Egyptian Journal of Remote Sensing and Space Sciences 18 251–259. DOI: 10.1016/j.ejrs.2015.07.003

  • Fasona M. J. Omojola T. 2005. Climate change human security and communal clashes in Nigeria. Paper presented at International Workshop on Human Security and Climate Change Holmen Ford Hotel Oslo October 21st – 23rd 2005.

  • Foody G. M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80(1) 185–201. DOI: 10.1016/s0034-4257(01)00295-4

  • Gasu M. B. Nicholas E. Bidmus M. A. Dawam P. D. 2016. Geospatial analysis of land use dynamics in Osogbo between 1986 and 2012. Abuja Journal of Geography and Development 4(1) 52–68.

  • Hammad M. Mucsi L. van Leeuwen B. 2018. Land cover change investigation in the southern Syrian coastal basins during the past 30-years using Landsat remote sensing data. Journal of Environmental Geography 11 (1–2) 45–51. DOI: 10.2478/jengeo-2018-0006

  • Ifabiyi I. P. 2005. Construction versus yield of deep wells in the regolith aquifer of Osun River basin Nigeria. Water Resources 16 1–16.

  • Ismail M. H. Jusoff K. 2000. Satellite data classification accuracy assessment based from reference dataset. International Journal of Geological and Environmental Engineering 2(3) 23–29.

  • Jyrkama M. I. Sykes J. F. 2006. The impacts of climate change on groundwater. In: Delleur J. W. (ed.) The Handbook of Groundwater Engineering 2nd Ed. CRC Press USA 1320.

  • Lerner D. N. 2002. Identifying and quantifying urban recharge: A review. Hydrogeology Journal 10 143–152. DOI: 10.1007/s10040-001-0177-1

  • Lerner D. N. Issar A. S. Simmers I. (eds.) 1990. Groundwater recharge: A guide to understanding and estimating natural recharge. Heise Hannover.

  • Lorup J. K. Refsgaard J. C. Mazvimavi D. 1998. Assessing the effect of land use change on catchment runoff by combined use of statistical tests and hydrological modelling: case studies from Zimbabwe. Journal of Hydrology 205 147–163. DOI: 10.1016/s0168-1176(97)00311-9

  • Martin S. L. Hayes D. B. Rutledge D. T. Hyndman D.W. 2011. The land-use legacy effect: Adding temporal context to lake chemistry. Limnology and Oceanography 56 (6) 2362–2370. DOI: 10.4319/lo.2011.56.6.2362

  • Mengistu D. A. Salami A. T. 2007. Application of remote sensing and GIS in land use/land cover mapping and change detection in a part of southwestern Nigeria. African Journal of Environmental Science and Technology 1 (5) 99–109.

  • Noorazuan M. H. Rainis R. Juahir H. Zain S. M. Jaafar N. 2003. GIS application in evaluating land use-land cover change and its impact on hydrological regime in Langat River basin Malaysia. 2nd Annual Asian Conference of Map Asia 14-15 October 2003 PWTC Kuala Lumpur Malaysia.

  • OORBDA 1982. Osun River basin feasibility study. Volume 7. Ogun-Oshun River Basin Development Authority.

  • Oke M. O. Martins O. Idowu O. Aiyelokun O. 2013. Comparative analysis of empirical formulae used in groundwater recharge in Ogun-Oshun River basins. Journal of Scientific Research & Reports 2(2) 692–710. DOI: 10.9734/jsrr/2013/4557

  • Rawat J. S. Kumar M. 2015. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block district Almora Uttarakhand India. The Egyptian Journal of Remote Sensing and Space Sciences 18 77–84. DOI: 10.1016/j.ejrs.2015.02.002

  • Rose S. Peters N. E. 2001. Effects of urbanization on stream flow in the Atlanta area (Georgia USA): A comparative hydrological approach. Hydrological Processes 15 1441–1457. DOI: 10.1002/hyp.218

  • Salami A. T. 1995. Structural changes in vegetal cover in Ife and Ede regions of southwestern Nigeria between 1963 and 1993. (Ph.D. Thesis) Obafemi Awolowo University Ile-Ife.

  • Salami A. T Ekanade O. Oyinloye R. O. 1999. Detection of forest reserve incursion in south-western Nigeria from a combination of multi-data aerial photographs and high resolution satellite imagery. International Journal of Remote Sensing 20(8) 1487–1497. DOI: 10.1080/014311699212579

  • Tadele H. Mekuriaw A. Selassie Y. G. Tsegaye L. 2017. Land Use/Land Cover Factor Values and Accuracy Assessment using a GIS and Remote Sensing in the Case of the Quashay Watershed in Northwestern Ethiopia. Journal of Natural Resources and Development 7 38–44. DOI: 10.5027/jnrd.v7i0.05

  • Tilahun A. Teferie B. 2015. Accuracy assessment of land use land cover classification using Google Earth. American Journal of Environmental Protection 4(4) 193–198. DOI: 10.11648/j.ajep.20150404.14

  • Turner M. G. Gardner R. H. O’Neill R.V. 2001. Landscape Ecology in Theory and Practice: Pattern and Process. Springer-Verlag New York.

  • Weng Q. 2001. A remote sensing-GIS evaluation of urban expansion and its impacts on surface temperature in the Zhujiang Delta southern China. International Journal of Remote Sensing 22(10) 1999–2014. DOI: 10.1080/01431160152043676

  • Ziegler A. D. Giambelluca T. W. 1997. Importance of rural roads as source areas for runoff in mountainous areas of northern Thailand. Journal of Hydrology 196(1-4) 204–229. DOI: 10.1016/s0022-1694(96)03288-x

Search
Journal information
Cited By
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 218 218 10
PDF Downloads 221 221 17