Spatial Pattern of Land Cover Change Using Remotely Sensed Imagery and GIS: A Case Study of Omo-Shasha-Oluwa Forest Reserve, SW Nigeria (1986-2002) — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Spatial Pattern of Land Cover Change Using Remotely Sensed Imagery and GIS: A Case Study of Omo-Shasha-Oluwa Forest Reserve, SW Nigeria (1986-2002)
Department of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Nigeria
,
Department of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Nigeria
1 Department of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Nigeria
2 Department of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Nigeria
Spatial patterns of land cover changes in the Omo-Shasha-Oluwa Forest Reserves were conducted on Landsat TM and ETM+ imageries of 1986 and 2002 using remote sensing and GIS techniques. Extent of tree plantation ( Gmelina arborea ) grew from about 145 sq. km in 1986 to about 322 sq. km in 2002 (122% increase). The natural forest declined from about 2569 sq. km in 1986 to about 2253 sq. km by 2002, while the non-forest areas increased by some 5% from 341 km 2 in 1986 to about 490 km 2 by 2002. Land cover pattern and its changes in the study area are linked to both natural and anthropogenic processes such as illegal logging, demand for soft wood for industries and expansion of settlements. The conversion of natural forest into monoculture plantations should be discouraged because they do not give room for biodiversity. Specific forestry and environmental laws and regulations that significantly address landscape changes in reserved and protected areas should be enforced to reduce activities that negatively affect the forest reserves. There is also the need to develop a wider and more integrated GIS system of the forest and other land resources in the country to assist different kinds of planning and management activities.
KeywordsClassificationLand Cover ChangeChange-DetectionGISLandsat TM and ETM+Remote SensingOmo-Shasha-Oluwa Forest Reserve
Ringrose, S., Vanderpost, C. and Maheson, W. (1997) Use of Image Processing and GIS Technique to Determine the Extent and Possible Causes of Land Management/Fenceline Induced Degradation Problems in The Okavango Area, Northern Botswana. International Journal of Remote Sensing, 18, 2337-2364.
Jensen, J.R. (2000) Remote Sensing of the Environment: An Earth Resource Perspective. Prentice Hall, Saddle River.
Zhou, Q., Li, B. and Kurban, A. (2008) Trajectory Analysis of Land Cover Change in Arid Environment of China. International Journal of Remote Sensing, 29, 1093-1107.
Fichera, C.R., Modica, G. and Pollino, M. (2012) Land Cover Classification and Change-Detection Analysis Using Multi-Temporal Remote Sensed Imagery and Landscape Metrics. European Journal of Remote Sensing, 45, 1-18.
Skole, D.L. (1994) Data on Global Land Cover Change: Acquisition, Assessment and Analysis. In: Turner II, W.B., Ed., Changes in Land Use and Land Cover: A Global Perspective, Cambridge University Press, Cambridge, 437-471.
Skidmore, A.K. (2002) Land Use and Land Cover. Marcel Dekker, Inc., New York.
Aspinall, R. (2006) Editorial. Journal of Land Use Science, 1-4.
Phat, N.K., Knorr, W. and Kim, S. (2004) Appropriate Measures for Conservation of Terrestrial Carbon Stocks— Analysis of Trends of Forest Management in Southeast Asia. Forest Ecology and Management, 191, 283-299. http://dx.doi.org/10.1086/261763
Cai, W.W., Song, J.L., Wang, J.D. and Xiao, Z.Q. (2011) High Spatial- and Temporal-Resolution NDVI Produced by the Assimilation of MODIS and HJ-1 Data. Canadian Journal of Remote Sensing, 37, 612-327.
Weng, Q. (2002) Land Use Change Analysis in the Zhujiang Delta of China Using Satellite Remote Sensing, GIS and Stochastic Modelling. Journal of Environmental Management, 64, 273-284. http://dx.doi.org/10.1006/jema.2001.0509
Singh, N. and Kumar, J. (2012) Urban Growth and Its Impact on Cityscape: A Geospatial Analysis of Rohtak City, India. Journal of Geographic Information System, 4, 12-19. http://dx.doi.org/10.4236/jgis.2012.41002
Oates, J.F., Ikemeh, R.A., Ogunsetan, A. and Bergl, R.A. (2008) A Survey of Rain Forests in Ogun, Ondo and Osun States in Southwestern Nigeria to Assess Options for Their Sustainable Conservation. Nigerian Conservation Foundation, Lagos.
FAO (1997) State of the World’s Forests, 1997. Food and Agriculture Organization of the United Nations, Rome. http://www.fao.org/forestry
Al-Bakri, J.T., Salahat, M., Suleiman, A., Suifan, M., Hamdan, M.R., Khresat, S. and Kandakji, T. (2013) Impact of Climate and Land Use Changes on Water and Food Security in Jordan: Implications for Transcending “The Tragedy of the Commons”. Sustainability, 5, 724-748. http://dx.doi.org/10.3390/su5020724
Brooks, A.M., Furse, M.T. and Fuller, R.M. (Eds.) (2000) An Assessment of the Land Cover Map of Great Britain with Headwater Streams Catchments of Four Main River Systems in England and Wales. Wiley and Sons, Chichester.
Wang, L., Chen, J., Gong, P., Shimazaki, H. and Tamura, M. (2009) Land Cover Change Detection with a Cross-Correlogram Spectral Matching Algorithm. International Journal of Remote Sensing, 30, 3259-3273. http://dx.doi.org/10.1080/01431160802562164
Chen, Z.H. and Wang, J.F. (2010) Land Use and Land Cover Change Detection Using Satellite Remote Sensing Techniques in the Mountainous Three Gorges Area, China. International Journal of Remote Sensing, 31, 1519-1542. http://dx.doi.org/10.1080/01431160903475381
Mar?al, A.R.S., Borges, J.S., Gomes, J.A. and Da Costa, J.F.P. (2005) Land Cover Update by Supervised Classification of Segmented ASTER Images. International Journal of Remote Sensing, 26, 1347-1362. http://dx.doi.org/10.1080/01431160412331291233
Lillesand, T., Kiefer, R. and Chipman, J. (2003) Remote Sensing and Image Interpretation. 5th Edition, Wiley, New York, 784.
Quan, B., Xiao, Z., R?mkens, M., Bai, Y. and Lei, S. (2013) Spatiotemporal Urban Land Use Changes in the Changzhutan Region of Hunan Province in China. Journal of Geographic Information System, 5, 136-147. http://dx.doi.org/10.4236/jgis.2013.52014
Franklin, J., Woodcock, C.E. and Warbington, R. (2000) Digital Vegetation Maps of Forest Lands in California: Integrating Satellite Imagery, GIS Modeling, and Field Data in Support of Resource Management. Photogrammetric Engineering and Remote Sensing, 66, 1209-1217.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. and Lambin, E. (2004) Digital Change Detection Methods in Ecosystem Monitoring: A Review. International Journal of Remote Sensing, 25, 1565-1596. http://dx.doi.org/10.1080/0143116031000101675
Fichera, C.R., Modica, G. and Pollino, M. (2012) Land Cover Classification and Change-Detection Analysis Using Multi-Temporal Remote Sensed Imagery and Landscape Metrics. European Journal of Remote Sensing, 45, 1-18. http://dx.doi.org/10.5721/EuJRS20124501
Okali, D.U.U. and Ola-Adams, B.A. (1987) Tree Population Changes in Treated Rainforest at Omo Forest Reserve, South-Western Nigeria. Journal of Tropical Ecology, 3, 291-313. http://dx.doi.org/10.1017/S0266467400002297
Foody, G.M. (2002) Status of Land Cover Classification Accuracy Assessment. Remote Sensing of Environment, 80, 185-201. http://dx.doi.org/10.1016/S0034-4257(01)00295-4
Otuke, J.R. and Blaschke, T. (2009) Land Cover Change Assessment Using Decision Trees, Support Vector Machines and Maximum Likelihood Classification Algorithms. International Journal of Applied Earth Observation and Geoinformation, 12, S27-S31.
ERDAS (2003) Erdas Field Guide. 7th Edition, Leica Geosystems, GIS and Mapping LLC, Atlanta.
Congalton, R.G. (1991) A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, 37, 35-46.
Whithcomb, J., Moghaddam, M., McDonald, K., Kellndorfer, J. and Podest, E. (2009) Mapping Vegetated Wetlands of Alaska Using L-Band Radar Satellite Imagery. Canadian Journal of Remote Sensing, 35, 54-72. http://dx.doi.org/10.5589/m08-080
Tso, B. and Mather, M.P. (2001) Classification Methods for Remotely Sensed Data. Taylor and Francis, London.
Congalton, R.G. and Green, K. (2009) Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. CRC Press Taylor and Francis Group, Boca Raton.
FAO (2005) Global Forest Resources Assessment 2005. Progress towards Sustainable Forest Management. Rome, FAO Forestry Paper 147.
Isichei, A.O. (1995) Omo Biosphere Reserve, Current Status, Utilization of Biological Resources and Sustainable Management (Nigeria). Working Papers of the South-South Cooperation Programme on Environmentally Sound Socio-Economic Development in the Humid Tropics. UNESCO, Paris.
Adekunle, V.A.J. (2006) Conservation of Tree Species Diversity in Tropical Rainforest Ecosystem of South-West, Nigeria. Journal of Tropical Forest Science, 18, 91-101.
Onyekwelu, J.C., Mosandl, R. and Stimm, B. (2006) Productivity, Site Evaluation and State of Nutrition of Gmelina arborea Plantations in Oluwa and Omo Forest Reserves, Nigeria. Forest Ecology and Management, 229, 214-227. http://dx.doi.org/10.1016/j.foreco.2006.04.002
Evans, J. and Turnbull, J.W. (2004) Plantation Forestry in the Tropics. 3rd Edition, Oxford University Press, London.
Ojo, L.O. (2004) The Fate of a Tropical Rainforest in Nigeria: Abeku Sector of Omo Forest Reserve. Global Nest: The International Journal, 6, 116-130.
Bradley, B.A. and O’Sullivan, M.T. (2011) Assessing the Short-Term Impacts of Changing Grazing Regime at the Landscape Scale with Remote Sensing. International Journal of Remote Sensing, 32, 5797-5813. http://dx.doi.org/10.1080/01431161.2010.507680
Warner, T.A., Almutairi, A. and Lee, J.Y. (2009) Remote Sensing and Land Cover Change. In: Warner, T.A., Nellis, M.D. and Foody, G.M., Eds., The SAGE Handbook of Remote Sensing, SAGE, London, 459-472. http://dx.doi.org/10.4135/9780857021052.n33