Application of GIS and Remote Sensing Technique to Change Detection in Land Use/Land Cover Mapping of Igbokoda, Ondo State, Nigeria
DOI:
https://doi.org/10.33736/jaspe.173.2016Keywords:
GIS, Remote Sensing, Land Use/Land cover, Landsat TM imagery, NDVIAbstract
This paper aims at establishing changes in land use and land cover in Igbokoda municipality using Geographic Information System and remote sensing techniques. Three satellite images for three different epochs 1986, 1999 and 2013 were used to produce a land use/land cover map classification for Igbokoda. In determining the extent of land use/land cover changes in the township from 1986 through 1999 to 2013, Landsat images of the town were downloaded from the United State Geological Survey online archive. The images were analyzed using change detection technique (NDVI differencing) along with SRTM 90m DEM of the study area to generate the extent of the changes that have occurred. Ground trotting was carried out to ascertain the accuracy of data and the major changes in the land use/land cover. Results show that vegetation has decreased from 75.04% in 1986 to 46.81% in 2013 which was due to increase in population and rapid urbanization. In 1996 the Built-up area covers 19.6321 km2 of the study area but has increased rapidly to 39.1505 km2 in the year 1999 with an average annual increment of 2.025Km2/year. By the year 2013, the built-up area has increased to 64.1520Km2. Also in the same vein, the bare surface area which was 13.28029km2 in 1986 was increased to 39.6053 and 50.240Km2 in 1999 and 2013 respectively. On the contrary, the vegetated area of Igbokoda reduced from 196.3046Km2 in 1999 to 122.4680Km2 in 2013. This study has demonstrated that remotely sensed data and GIS based approach is timely and cost effective than the conventional method of analysis, classification of land use pattern effective for planning and management. It further shows that If the rapid change in land use is not properly manage, the situation poses a serious threat to Igbokoda town by increasing surface runoff and susceptibility to flooding.References
Jia, K., Wei, X.Q., Gu, X.F., Yao, Y.J., Xie, X.H., Li, B. (2014). Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China. Geocarto International, Vol. 29, 941-951.
https://doi.org/10.1080/10106049.2014.894586
Zhu, Z.; Woodcock, C.E. (2014). Continuous change detection and classification of land cover using all available Landsat data. Remote Sensing Environment, Vol.144, 152-171.
https://doi.org/10.1016/j.rse.2014.01.011
Ejemeyovwi, D. O. (2015). Change Detection in Land use/Land Cover Mapping in Asaba, Niger delta between 1996 and 2015. A Remote Sensing and GIS Approach. British Journal of Environmental Sciences, Vol.3, No.3, 42-61
Wilkie, D.S. and Finn, J.T. (1996). Remote Sensing Imagery for Natural Resources Monitoring. Columbia University Press, New York. Pp295
Briney, A. (2008). An overview of Geographical Information Systems.http://geography.about.com/od/geographyinter/a/gisoverview.htm. (Accessed 25 September 2014)
Zonneveld, I. S. (1979). Land evaluation and landscape science. Volume 11.4 of ITC textbook International Institute of GeoInformation Science and Earth Observations (ITC) Enschede
Miller, G. T. (1996). Living in the Environment. Principles, Connections and Solutions. Wardsworth. UK.
Xiaomei, Y. and Ronqing, L.Q.Y. (1999). Change Detection Based on Remote Sensing InformationModel and its Application to Coastal Line of Yellow River Delta - Earth Observation Center, NASDA, China.
Collins, M.G., Steiner, F.R. and Rushman, M.J. (2001). Land-use suitability analysis in the United States: historical development and promising technological achievements. Environmental Management Vol. 28 No.5, 611 - 621.
https://doi.org/10.1007/s002670010247
Malczewski J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning Vol.62 No.1, 3-65
https://doi.org/10.1016/j.progress.2003.09.002
Hopkins, L. (1977). Methods for generating land suitability maps: a comparative evaluation. Journal for American Institute of Planners 34(1), 19 - 29.
https://doi.org/10.1080/01944367708977903
Jiang, H., and Eastman, J.R. (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information System, Vol.14, 173 - 184.
https://doi.org/10.1080/136588100240903
Adam, E., Mutanga, O., Odindi, J., Abdel-Rahman, E.M. (2014). Land-use/cover classification in a heterogeneous coastal landscape using Rapid Eye imagery: Evaluating the performance of random forest and support vector machines classifiers. International Journal of Remote Sensing Vol.35, 3440-3458.
https://doi.org/10.1080/01431161.2014.903435
Gong, P., Wang, J., Yu, L., Zhao, Y.C., Zhao, Y.Y., Liang, L., Niu, Z.G., Huang, X.M., Fu, H.H. and Liu, S. (2013). Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, Vol.34, 2607-2654.
https://doi.org/10.1080/01431161.2012.748992
Yacouba D., Hu, G. and Wen, X. (2010). Assessment of Land Use Cover Changes Using NDVI and DEM in Puer and Simao Counties, Yunnan Province, China.Report and Opinion, Vol.2 No.9, 7 - 16.
Im, J., and Jensen, J. R. (2005). A change detection model based on neighborhood correlation image analysis and decision tree classification. Remote Sensing Environment. 99, 326 - 340.
https://doi.org/10.1016/j.rse.2005.09.008
El Baroudy, A. A. (2011). Monitoring land degradation using remote sensing and GIS techniques in an area of the middle Nile Delta, Egypt. Catena Vol.87 No.2, 201-208.
https://doi.org/10.1016/j.catena.2011.05.023
Liberti, M., Simoniello, T., Carone, M.T., Coppola, R., Emilio, M.D., and Macchiato, M. (2009). Mapping badland areas using LANDSAT TM/ETM satellite imagery and morphological data. Geomorphology Vol.106, 333 - 343.
https://doi.org/10.1016/j.geomorph.2008.11.012
Gao, J., and Liu, Y. (2008). Mapping of land degradation from space: a comparative study of Landsat ETM+ and ASTER data. International Journal of Remote Sensing, 29 (14), 4029 - 4043.
https://doi.org/10.1080/01431160801891887
Chafer, C. (2008). A comparison of fire severity measures: an Australian example and implications for predicting major areas of soil erosion. Catena Vol.74, 235 - 245.
https://doi.org/10.1016/j.catena.2007.12.005
Geerken, R., and Ilawi, M. (2004). Assessment of rangeland degradation and development of a strategy for rehabilitation. Remote Sensing of Environment, Vol.90 No.4, 490-504
https://doi.org/10.1016/j.rse.2004.01.015
Lu, D., Batistella, M., Mausel, P., Moran, E. (2007). Mapping and monitoring land degradation risks in the Western Brazilian Amazon using multitemporal Landsat TM/ETM+ images. Land Degradation and Development Vol.18, 41 - 54.
https://doi.org/10.1002/ldr.762
Mathieu, R., Cervelle, B., Remy, D., Pouget, M. (2007). Field-based and spectral indicators for soil erosion mapping in semi-arid Mediterranean environments (Coastal Cordillera of central Chile). Earth Surf. Proc. Land. Vol.32, 13 - 31.
https://doi.org/10.1002/esp.1343
Aiyemafuge, I. (2014). History of Ilaje, Ilaje Community Welfare Association. Available at www.ilajecwa.org.uk/history.htm (Accessed, 13th June, 2014).
Zandbergen, P. (2008). Applications of Shuttle Radar Topography Mission Elevation Data, Geography Compass, 2/5, pages 1401 - 1431, 10.1111/j.1749-8198.2008.00154.x
https://doi.org/10.1111/j.1749-8198.2008.00154.x
Sanders, B. F. (2007). Evaluation of on-line DEMs for flood inundation modelling, Advances in Water Resources Vol.30, 1831 - 1843.
https://doi.org/10.1016/j.advwatres.2007.02.005
Demirkesen, A. C., Evrendilek, F., Berberoglu, S. and Kilic, S. (2007). Coast flood risk analysis using Landsat-7 ETM+ imagery and SRTM DEM: a case study of Izmir, Turkey, Environmental Monitoring and Assessment, Vol.131 No.1-3, 293 - 300.
https://doi.org/10.1007/s10661-006-9476-2
National Aeronautics and Space Administration (NASA) (2011a). The Landsat Program, available at http://landsat.gsfc.nasa.gov/about/landsat1.html. (Accessed April 2, 2014)
National Aeronautics and Space Administration (NASA) (2011b). Landsat 4 TM, available at http://landsat.gsfc.nasa.gov/about/landsat4.html (Accessed April 2, 2014)
National Aeronautics and Space Administration (NASA) (2011c). Landsat 7 ETM+, available at http://landsat.gsfc.nasa.gov/about/landsat7.html. (Accessed April 2, 2014)
Liew, S.C. (2001). Remote Sensing Tutorial, Principles of Remote Sensing, Centre for Remote Imaging, Sensing and Processing, National University of Singapore, available at http://www.crisp.nus.edu.sg/~research/tutorial/intro.htm. (Accessed October 10, 2014)
National Aeronautics and Space Administration (NASA) (2011d). Landsat 6 ETM+, available at http://landsat.gsfc.nasa.gov/about/landsat6.html. (Accessed April 2, 2014)
United States Geological Survey (USGS) (2011a). Earth Explorer Help Documentation, Version 0.5, available at http://edcsns17.cr.usgs.gov/NewEarthExplorer/documents/helptutorial.pdf. (Accessed October 30, 2014)
Geospatial Innovation Facility (GIF) (2008).RS/GIS Quick Start Guides, Landsat Spectral Band Information, available at http://gif.berkeley.edu/documents/Landsat%20Band%20Information.pdfLast (Accessed September 20, 2014.)
Ho, L. T. K., Umitsu, M. and Yamaguchi, Y. (2010). Flood hazard mapping by satellite images and SRTM DEM in the Vu Gia - Thu Bon Alluvial Plain, Central Vietnam, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 38, Part 8, Kyoto, Japan, available at http://www.isprs.org/proceedings/XXXVIII/part8/headline/TS-27/W01OH2_20100309140832.pdf, (Accessed November 30, 2014)
United States Geological Survey (USGS) (2011b). Earth Explorer Landsat Product Type Descriptions, available at http://edcsns17.cr.usgs.gov/helpdocs/landsat/product_descriptions.html (Accessed October 30, 2014)
United States Geological Survey (USGS) (2011c). Landsat Missions, Frequently Asked Questions about the Landsat Missions, available at http://landsat.usgs.gov/band_designations_landsat_satellites.php (Accessed November 5, 2014)
United States Geological Survey (USGS) (2011d). Landsat Missions: Panchromatic Image Sharpening of landsat 7 ETM+, available at http://landsat.usgs.gov/panchromatic_image_sharpening.php (Accessed November 10, 2014)
Rouse, J.W., Haas R. H., Schell J. A. & Deering D. W. (1974). Monitoring vegetationsystems in the Great Plains with ERTS. In: Fraden S.C., Marcanti E.P. & Becker M.A. (eds), Third ERTS-1 Symposium, 10 - 14 December 1973, NASA SP-351, Washington D.C. NASA, 309 - 317
Adeyewa Z.D. (2007). Applications of Satellites in Monitoring Vegetation: The African Perspective, SAN. Conference, 3-6 September, Federal University of Technology, Akure
Kwak, Y and Kondoh, A. (2008). A study on the extraction of multi-factor influencing floods from RS image and GIS data; a case study in Nackdong Basin, South Korea", The International Archives of The Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress Beijing 2008, 37, Part B8, Commission VIII, pages 421- 426, available at http://www.isprs.org/proceedings/XXXVII/congress/8_pdf/2_WG-VIII-2/50.pdf. (Accessed 30th April, 2014)
Environmental Systems Research Institute (ESRI) (2009a). ArcGIS Desktop 9.3 Help, Creating a depressionless DEM, available at http://webhelp.esri.com/arcgiSDEsktop/9.3/index.cfm?TopicName= Creating_a_depressionless_DEM. (Accessed July 16, 2014)
Environmental Systems Research Institute (ESRI) (2009b). ArcGIS Desktop 9.3 Help, Understanding multivariate classification, available at http://webhelp.esri.com/arcgisdesktop/9.3/ index.cfm?id=6097&pid=6096&topicname=Under standing_multivariate_classification. (Accessed July 16, 2014)
University Corporation for Atmospheric Research (UCAR) (2010).Flash Flood Early Warning System Reference Guide, United States of America, available at http://www.meted.ucar.edu/hazwarnsys/ffewsrg/ FF_EWS.frontmatter.pdf.Last Accessed November 18, 2011.
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