Nimbia Forest Reserve is witnessing degradation due to anthropogenic activities such as Farming, Illegal felling and fuel wood extraction just like many other forest reserves in Nigeria. On the other hand, the management has failed to provide enough manpower to guard against anthropogenic activities and the few ones available were not receiving better remuneration. Other problems faced by the forest are that trimming is done on time and cleared lands were not replanted. These and many other reasons leading to overexploitation, increase rate of deforestation, modification of the forest structure, reduced income to government and increased unemployment. This study examines the use of GIS and Remote Sensing in mapping Land Cover in Nimbia Forest Reserve between 1986 and 2010 so as to detect the changes that may have taken place in this status between these periods. Subsequently, an attempt was made at projecting the observed land cover in the next 21 years. The result obtained show that some features will be lost to other features and possible reasons for that were evaluated. Suggestions were therefore made at the end of the work on ways to use the information as contained therein optimally.
Published in | International Journal of Environmental Monitoring and Analysis (Volume 2, Issue 2) |
DOI | 10.11648/j.ijema.20140202.15 |
Page(s) | 91-99 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Landcover Change, Forest, Geographic Information System, Remote Sensing, Landsat Satellite Imagery
[1] | Akindele, S. (1991). Development of Site Index equation for Teak plantation in Southwestern Nigeria. Akure: Dept. of Forestry anf Wood technology, Federal University of Technology, Akure, Nigeria. |
[2] | Ayuba, S. M. (2006). Dissertation. In an evaluation of soil properties and development under Teak(tecton grandis linn F.) (p. 36). Zaria: Ahmadu Bello University. |
[3] | Ball, J. P. (1999). Global Overview of Teak Plantation. Technology and Productivity of Teak Plantation. |
[4] | CBD., Convention on Biological Diversity. (2001). The Value of Forest Ecosystems. Montreal: CBD Technical Series. |
[5] | Celik, P. D. (2006). Forest and Nutural Disasters. Istanbul: Fuculty of Forestry,University of Istanbul, Turkey. |
[6] | Chuvieco, E. A. (2010). Fundamental of satellite remote sensing. New York: Taylor and Francis group. |
[7] | CIFOR. (2003). National and International Policies to Control Illegal Forest Activities .Dept. of Forest Economy, Ministry of Foreign Affairs,Japan. |
[8] | Congalton, R. A. (1999). Assessing the accuracy of remotely sensed data. Principles and practices. . Boca Raton, Florida.: Lewis Publishers,. |
[9] | Coppin, P. &. (1996). Digital change detection in Forest ecosystems with remote sensing imagery. Remote sensing review, vol.13 p. 207-234. |
[10] | Cunningham, L. (1998). Inventory New York;s land use and nutural resources. new York's Food and Life Sciences, vol.3, no. 4, p 4-7. |
[11] | David, W. P. (2001). The Economic value of Forest ecosystems CSERGE-Economics. University college London: Blackwell science inc. |
[12] | Deer, J. (1995). Digital change detection techniques:civilian and military applications. Australia: Defence science and technology organization. |
[13] | Dewan, A. M. (2009). Land use and land cover change in greaterDhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography,, 29 (3): 390-401 |
[14] | Diaz, S. (2006). "Biodiversity Loss Threaten Human Well-Being". PLOS Biology. |
[15] | Misir, M and Baskent, E. Z. (2002). The Role of GIS in Multi- Objective Forest Planning. International Symposium on GIS. September 23-26, 2002, Istanbul, Turkey |
[16] | Ehiagbanare, J. (2007). Economic contribution of the Forest to the Economy of Edo State,Nigeria. Okada: Igbinedion university. |
[17] | EOSAT. (1994). Statewide Purchase plan keep south Carolina Residents in the know,in EOSAT Notes. Lanhan, MD: EOSAT Company . |
[18] | ERDAS. (1992). Wetlands in EOSAT Data User Notes. Lanhan,MD: EOSAT Company. |
[19] | Foody, G. (2002). statua of Land Cover Classification accuracy assessment. Remote Sensing of Environment, 80:185-201. |
[20] | Gibson, P. A. (2000). Introductory Remote sensing:Digital Image Processing and Applications. Routeledge. |
[21] | Giridhar, M. V. (2008). Evaluation of watershed parameters using RS and GIS. 11th Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments (p. 323). Earth and Space Conference. |
[22] | Hassan, E. A. (2010). Integration of Remote Sensing and GIS in the study of Vegetation Trends and Conditions in the Gum Arabic Belt. Sudan: North Kurdofani. |
[23] | Inc., E. (1992). Map State of Geogia DNR in the Monitor. Atlanta: ERDAS Inc. |
[24] | Ishmael, J.D. (2006). action sheet 47.Tropical Moist Forest Silviculture and Management: A history of success and failure. CAB International, Wallingford, 359 pp. |
[25] | Ivan bermejo, I. C. (2003). Growth and yield for Teak in Costa Rica. Madrid, Spain: Centre for Forest Resaearch INIA. |
[26] | Jensen, J. (1996). Introductory Digital Image Processing: A remote sensing perspective(2nd Edition). Eaglewood cliffs,New Jersey: Prentice-Hall. |
[27] | Krieger, D. J. (2001). The Economic Value of Forest Ecosystems Services: A Review. The wilderness society. |
[28] | Lambin. (1996). Change detection multiple temporal scales. Seosonal and annual variationin landscape variables.Photogrammtry eng. Rem Sens., 931-938. |
[29] | Lazaro, R. F. (2001). Analysis of 30 years Rainfall record(1967-1997) in semi-arid SE spain for implications on Vegetation. Journal of Arid Environment, 48: 373-395. |
[30] | Lillesand, T. K. (2004). Remote sensing and image Interpretation, Fifth edition. New York: john wiley and sons. |
[31] | Longley, P. D. (2001). Reomte Sensing and urban Analysis. London: Tylor and Francis. |
[32] | Lu, D. M. (2004). Change Detection Techniques. International journal of remote sensing, 25(12): 351-364. |
[33] | Lucca Tacconi, M. B. (2003). National and international policies to control Illegal Forest activities . Japan: Ministry of Foreign Affairs. |
[34] | Lunette, R. A. (1999). Application, Project Formulation and analytical Approach. Remote Sensing Change Detection. Environmental monitoring & Application (pp. 1-20). London:Tylor & Francis. |
[35] | Macleod, C. (1998). A Quantitative comparison of Change Detection Algorithms for Monitoring Ealgrass from remotely sensed data. Photogrammetry Engineering & Remote Sensing, Vol. 64 No. 3, 207-216. |
[36] | Malinverni, E. F. (2003). Spatia Modeling in a GIS for an Environment decision support system. Spatial Analysis and Decision making SADM2003 (pp. 229-241). Hong Kong: Commission II WG 5 and 6. |
[37] | Neil Adger, K. B. (1994). Towarda Estimating total Economic value of Forest in Mexico. Center for Social and Economic Research on the Global Environment. |
[38] | Obidike, E. O. (2011). Msc Thesis. In Assessment of heterogeneity in soil properties of Nimbia forest resrve in southern guinea savanna of nigeria for site specific management (p. 20). Zaria: Ahmadu bello University. |
[39] | Plaza, A. A. (2008). High performance computing in remote sensing. Taylor and francis Group, LLC. |
[40] | Pomery, D. (2004). The state of Uganda's Biodiversity. Kampala: Makerere University. |
[41] | Ramachandra, T. K. (2004). Geographic Decision Support System for Land use, Land cover Dynamics Analysis. FOSS/GRASS Users Conference. Bangkok, Thailand. |
[42] | Rindfuss, R. E. (2002). Linking people, place and policy: A GIS science approach. Boston.: Kluwer Academic Press. |
[43] | Roif A. de By (ed), R. A.J. (2001). Principles of Geographic Information systems-An introductory rext book. ITC Educational Text books series. |
[44] | Shoshany, M. A. (1994). Monitoring Temporal Vegetation Cover change in miditerranean and Arid Ecosystems Using a Remote sensing Techniques:A case study of the judean mountain and the judean desert. journal of Arid Environment, 33: 9-21. |
[45] | Singh, A. (1989). Digital Change Detection Techniques Using Remotely Sensed Data. International Journal of Remote Sensing, Vol. 10, No. 6, 989. |
[46] | Tanaka, N. H. (1998). Distribution, Growth and Site requirment of Teak. JARQ 32. |
[47] | Tewari, D. (1992). Monograph of Reak (tectona grandis). Dehran dun, India: International book Distributors. |
[48] | Tottrup, C. (2004). Mapping long-term changes in savannah crop productivity in Senegal through trend analysis of time series of remote sensing data.Agriculture. Ecosystems and Environment, pp. 103. |
[49] | Tudunwada, I. Y. ( 2012). Vegetation Change Detection due to Anthropogenic activities In Falgore Game Reserve,Kano State, Nigeria. International Conference Geotunis 6th session. |
[50] | Usman, B. A. (2010). Nigerian Forestry,wildlife and Protected Areas. Ilorin: Dept. of Geography, University of Ilorin. |
[51] | Uzay, K. A. (2009). The Spatial-temporal Forest cover changes in koprulu canyon National park in Turkey. Trabzon,Turkey: Kuradeniz technical University,Fuculty of Forestry. |
[52] | Wilson, J. P. (2008). The hand book of geographic information science. Victoria, Australia: Blackwell publishing. |
[53] | Yuan, D. A. (1998). NALC land cover change detection pilot study:Washington D.C Area Experiments,Remote Sensing of Environment. Washington. |
[54] | Zhiliang, C. X. (2008). Landuse/cover changes between 1990 and 2000 based on remote sensing and GIS in. The International Society for Optical Engineering. China: Proceedings of SPIE. |
APA Style
Musa Ismaila Tudun-Wada, Yakubu Mohammed Tukur, Ya’u Hussaini, Muhammad Zakari Sani, Ishaya Musa, et al. (2014). Analysis of Forest Cover Changes in Nimbia Forest Reserve, Kaduna State, Nigeria Using Geographic Information System and Remote Sensing Techniques. International Journal of Environmental Monitoring and Analysis, 2(2), 91-99. https://doi.org/10.11648/j.ijema.20140202.15
ACS Style
Musa Ismaila Tudun-Wada; Yakubu Mohammed Tukur; Ya’u Hussaini; Muhammad Zakari Sani; Ishaya Musa, et al. Analysis of Forest Cover Changes in Nimbia Forest Reserve, Kaduna State, Nigeria Using Geographic Information System and Remote Sensing Techniques. Int. J. Environ. Monit. Anal. 2014, 2(2), 91-99. doi: 10.11648/j.ijema.20140202.15
AMA Style
Musa Ismaila Tudun-Wada, Yakubu Mohammed Tukur, Ya’u Hussaini, Muhammad Zakari Sani, Ishaya Musa, et al. Analysis of Forest Cover Changes in Nimbia Forest Reserve, Kaduna State, Nigeria Using Geographic Information System and Remote Sensing Techniques. Int J Environ Monit Anal. 2014;2(2):91-99. doi: 10.11648/j.ijema.20140202.15
@article{10.11648/j.ijema.20140202.15, author = {Musa Ismaila Tudun-Wada and Yakubu Mohammed Tukur and Ya’u Hussaini and Muhammad Zakari Sani and Ishaya Musa and Vivan Ezra Lekwot}, title = {Analysis of Forest Cover Changes in Nimbia Forest Reserve, Kaduna State, Nigeria Using Geographic Information System and Remote Sensing Techniques}, journal = {International Journal of Environmental Monitoring and Analysis}, volume = {2}, number = {2}, pages = {91-99}, doi = {10.11648/j.ijema.20140202.15}, url = {https://doi.org/10.11648/j.ijema.20140202.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20140202.15}, abstract = {Nimbia Forest Reserve is witnessing degradation due to anthropogenic activities such as Farming, Illegal felling and fuel wood extraction just like many other forest reserves in Nigeria. On the other hand, the management has failed to provide enough manpower to guard against anthropogenic activities and the few ones available were not receiving better remuneration. Other problems faced by the forest are that trimming is done on time and cleared lands were not replanted. These and many other reasons leading to overexploitation, increase rate of deforestation, modification of the forest structure, reduced income to government and increased unemployment. This study examines the use of GIS and Remote Sensing in mapping Land Cover in Nimbia Forest Reserve between 1986 and 2010 so as to detect the changes that may have taken place in this status between these periods. Subsequently, an attempt was made at projecting the observed land cover in the next 21 years. The result obtained show that some features will be lost to other features and possible reasons for that were evaluated. Suggestions were therefore made at the end of the work on ways to use the information as contained therein optimally.}, year = {2014} }
TY - JOUR T1 - Analysis of Forest Cover Changes in Nimbia Forest Reserve, Kaduna State, Nigeria Using Geographic Information System and Remote Sensing Techniques AU - Musa Ismaila Tudun-Wada AU - Yakubu Mohammed Tukur AU - Ya’u Hussaini AU - Muhammad Zakari Sani AU - Ishaya Musa AU - Vivan Ezra Lekwot Y1 - 2014/04/30 PY - 2014 N1 - https://doi.org/10.11648/j.ijema.20140202.15 DO - 10.11648/j.ijema.20140202.15 T2 - International Journal of Environmental Monitoring and Analysis JF - International Journal of Environmental Monitoring and Analysis JO - International Journal of Environmental Monitoring and Analysis SP - 91 EP - 99 PB - Science Publishing Group SN - 2328-7667 UR - https://doi.org/10.11648/j.ijema.20140202.15 AB - Nimbia Forest Reserve is witnessing degradation due to anthropogenic activities such as Farming, Illegal felling and fuel wood extraction just like many other forest reserves in Nigeria. On the other hand, the management has failed to provide enough manpower to guard against anthropogenic activities and the few ones available were not receiving better remuneration. Other problems faced by the forest are that trimming is done on time and cleared lands were not replanted. These and many other reasons leading to overexploitation, increase rate of deforestation, modification of the forest structure, reduced income to government and increased unemployment. This study examines the use of GIS and Remote Sensing in mapping Land Cover in Nimbia Forest Reserve between 1986 and 2010 so as to detect the changes that may have taken place in this status between these periods. Subsequently, an attempt was made at projecting the observed land cover in the next 21 years. The result obtained show that some features will be lost to other features and possible reasons for that were evaluated. Suggestions were therefore made at the end of the work on ways to use the information as contained therein optimally. VL - 2 IS - 2 ER -