JGIS  Vol.7 No.2 , April 2015
Land Use and Land Cover Change in Northeast Gadarif State: Case of El Rawashda Forest, Sudan
ABSTRACT
The main objectives of this study were to detecting the land use and land cover change (LULC), using remote sensing techniques, then identify the reasons for rangeland and tree cover degradation in El Rawashda Forest, Gadarif State, Sudan. The study has conducted field experiment developed on an area of 20 feddans that was affected by deterioration in the forest and to assess the best method for rehabilitation of the vegetation cover in the area of study. The experimental area was divided into 5 blocks; each block consisted of 4 treatments: grass seeds and Talih (Acacia seyal var. seyal); sowing seeds just before autumn, sowing seeds after disc ploughing, sowing seeds using water harvesting technique and control (no seeding). In the present study an attempt has been made to analyze and monitor the LULC changes using multitemporal Landsat data deterioration in the forest and to assess the best method for restoration of the vegetation. In the present study, an attempt has been made to analyze and monitor the LULC changes using multitemporal Landsat data for years 1984, 1994 and 2013. LULC grades in the classification scheme are: Trees, Mechanized Rain-fed Agriculture (MRA), Grasses and Bare land. Individual classifications based on maximum likelihood of algorithm were used and the results showed a significant that extensive change of LULC patterns has occurred in all decades in the study area. The results also show Trees class was decreased, while MRA, Grasses and Bare land were increased. The seeding of the forage and Talih seeds after disc plowing gave the best results compared to the other treatments, followed by forage and Talih seed sowing under the water harvesting technique and broadcasting of forage and Talih seeds and finally the control.

Cite this paper
Yagoub, Y. , Bo, Z. , Ding-min, J. , Jahelnabi, A. , Fadoul, S. , (2015) Land Use and Land Cover Change in Northeast Gadarif State: Case of El Rawashda Forest, Sudan. Journal of Geographic Information System, 7, 140-157. doi: 10.4236/jgis.2015.72013.
References
[1]   FAO (1997) State of the World’s Forest. Situation and Prospects for Forest Conservation and Development, Italy.

[2]   Craig, M.G. (1991) The Agriculture of the Sudan. Center for Agriculture Strategy, University of Reading. Oxford UP, London.

[3]   SKAP (Southern Kassala Agricultural Project) (1992) Land Use Survey Report (Main Report), Vol. 1, Khartoum, Sudan.

[4]   Yildirim, H., Alparslan, E. and Ozel, M.E. (1995) Temporal Change Detection by Principal Component Transformation on Satellite Imagery. Paper Presented at IEEE International Geosciences and Remote Sensing Symposium, Florence.

[5]   Turner, W., Spector, S., Gardiner, N., Fladeland, M., Sterling, E. and Steininer, M. (2003) Remote Sensing for Biodiversity Science and Conservation. Trends in Ecology and Evolution, 18, 306-314.
http://dx.doi.org/10.1016/S0169-5347(03)00070-3

[6]   Woodcock, C.E., Macomber, S.A., Pax-Lenney, M. and Cohen, W.B. (2001) Monitoring Large Areas for Forest Change Using Landsat: Generalization across Space, Time and Landsat Sensors. Remote Sensing of Environment, 78, 194-203. http://www.sciencedirect.com/science?_ob=ArticleList URL&_method=list&_ArticleListID=-767547156&_sort=r&_st=13&view=c&md5=e8a2a95dccfc685311a 043ce48bdfe10&searchtype=a

[7]   Watson, N. and Wilcock, D. (2001) Reclassification as an Aid to the Improvement of the Thematic and Spatial Accuracy in Land Covers Maps Derived from Satellite Imagery. Remote Sensing of Environment, 75, 267-278. http://dx.doi.org/10.1016/S0034-4257(00)00172-3

[8]   Scanlon, T.M., Albertson, J.D., Caylor, K.K. and Williams, C.A. (2002) Determining Land Surface Fractional Cover from NDVI and Rainfall Time Series for a Savanna Ecosystem. Remote Sensing of Environment, 82, 376-388. http://dx.doi.org/10.1016/S0034-4257(02)00054-8

[9]   Fuller, R.M., Smith, G.M. and Devereux, B.J. (2003) The Characterization and Measurement of Land Cover through Remote Sensing: Problems in Operational Applications. International Journal of Applied Earth Observation and Geo-information, 4, 243-253.
http://dx.doi.org/10.1016/S0303-2434(03)00004-7

[10]   Hamdoun, M.A., Ageeb, A.O. and Dawelbeit, I.M. (1991) Review on Applied Research Simsim Dry Land Farming. CRC Press, Boca Raton.

[11]   Hineit, B.M. (2007) Effect of Type, Time of Tapping and Tree Size of Acacia Seyal on the Product of Gum Talha in El Rawashda Forest, Gadaref State, Sudan. University of Khartoum, Faculty of Forestry, Khartoum.

[12]   Elhag, M.M. (2006) Causes and Impact of Desertification in the Butana Area of Sudan. Ph.D. Thesis, University of the Free State, Bloemfontein.

[13]   Gomez, K.A. and Gomez, A.A. (1984) Statistical Procedures. 2nd Edition, John Wiley and Sons, New York.

[14]   Parker, K. (1951) A Method for Measuring Trend in Range Condition on Natural Forest Ranges. US Forestry Service, Washington (Mimeo).

[15]   Peterson, D.L., Egbert, S.L., Price, K.P. and Martinko, E.A. (2004) Identifying Historical and Recent Land-Cover Changes in Kansas Using Post-Classification Change Detection Techniques. Transactions of the Kansas Academy of Science, 107, 105-118.
http://dx.doi.org/10.1660/0022-8443(2004)107[0105:IHARLC]2.0.CO;2

[16]   Petit, C.C. and Lambin, E.F. (2001) Integration of Multi-Source Remote Sensing Data for Land Cover Change Detection. International Journal of Geographical Information Science, 15, 785-803.
http://dx.doi.org/10.1080/13658810110074483

[17]   Rutchey, K. and Velcheck, L. (1994) Development of an Everglades Vegetation Map Using a SPOT Image and the Global Positioning System. Photogrammetric Engineering and Remote Sensing, 60, 767-775.

[18]   Chen, X.W. (2002) Using Remote Sensing and GIS to Analyze Land Cover Change and Its Impacts on Regional Sustainable Development. International Journal of Remote Sensing, 23, 107-124.
http://dx.doi.org/10.1080/01431160010007051

[19]   Jensen, J.R. (2005) Introductory Digital Image Processing. 3rd Edition, Prentice-Hall, Upper Saddle River.

[20]   AlFugara, A.M., Pradhan, B. and Mohamed, T.A. (2009) Improvement of Land Use Classification Using Object Oriented and Fuzzy Logic Approach. Applied Geomatics, 1, 111-120.
http://dx.doi.org/10.1007/s12518-009-0011-3

[21]   Petit, C.C. and Lambin, E.F. (2002) Impact of Data Integration Technique on Historical Land Use/Land Cover Change: Comparing Historical Maps with Remote Sensing Data in the Belgian Ardennes. Landscape Ecology, 17, 117-132. http://dx.doi.org/10.1023/A:1016599627798

[22]   Kamusoko, C. and Aniya, M. (2009) Hybrid Classification of Landsat Data and GIS for Land Use/Cover Change Analysis of the Bindura District, Zimbabwe. International Journal of Remote Sensing, 30, 97-115. http://dx.doi.org/10.1080/01431160802244268

[23]   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

[24]   Yuan, F., Bauer, M.E., Heinert, N.J. and Holden, G. (2005) Multi-Level Land Cover Mapping of the Twin Cities (Minnesota) Metropolitan Area with Multi Seasonal Landsat TM/ETM+ Data. Geocarto International, 20, 5-13. http://dx.doi.org/10.1080/10106040508542340

[25]   Youssef, M.A., Pradhan, B. and Tarabees, E. (2010) Integrated Evaluation of Urban Development Suitability Based on Remote Sensing and GIS Techniques: Contribution from the Analytic Hierarchy Process. Arabian Journal of Geosciences, 4, 463-473. http://dx.doi.org/10.1007/s12517-009-0118-1

[26]   Anderson, R., Hardy, E.E., Roach, J.T. and Witmer, R.E. (1976) A Land Use and Land Cover Classification System for Use with Remote Sensor Data. USGS Professional Paper 964, Sioux Falls.

[27]   Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. (2008) Remote Sensing and Image Interpretation. John Wiley & Sons, Inc., New York, 213.

[28]   Abusuwar, A., Dixon, R.M. and Schonhorst, M.H. (1993) Imprintation Inter-Seeding, Soil Moisture and Seedling Emergence. University of Khartoum Journal of Agriculture Sciences, 1, 59-80.

[29]   Abusuwar, A. (2007) Range Management UNESCO CHAIR ON DESRTIFICATION (Text Book). Khartoum University Press, Khartoum.

[30]   Sulieman, H.M. (2008) Mapping and Modelling of Vegetation Changes in the Southern Gadarif Region, Sudan, Using Remote Sensing e Land-Use Impacts on Biophysical Processes. TUD Press, Dresden.

[31]   Biswas, A.K., Masakhalia, Y.F.O., Odero-Ogwel, L.A. and Pallangyo, E.P. (1987) Land Use and Farming Systems in the Horn of Africa. Land Use Policy, 4, 419-443.
http://dx.doi.org/10.1016/0264-8377(87)90064-0

[32]   Singh, A. (1989) Digital Change Detection Techniques Using Remotely-Sensed Data. International Journal of Remote Sensing, 10, 989-1003. http://dx.doi.org/10.1080/01431168908903939

[33]   Muchoney, D.M. and Haack, B.N. (1994) Change Detection for Monitoring Forest Defoliation. Photogrammetric Engineering and Remote Sensing, 60, 1243-1251.

[34]   Foody, G.M. (2003) Remote Sensing of Tropical Forest Environments: Towards the Monitoring of Environmental Resources for Sustainable Development. International Journal of Remote Sensing, 24, 4035-4046. http://dx.doi.org/10.1080/0143116031000103853

[35]   Mohamed, G.E. (2008) Socioeconomic Aspects of Natural Vegetation Cover Affecting Rural Communities Sustainable Livelihood. Case Study, North White Nile State.

[36]   HCENR (2009) The Higher Council for Environment and Natural Resources, Government of the Republic of Sudan, Ministry of Environment and Physical Development. Sudan’s Fourth National Report to the Convention on Biological Diversity, Khartoum.

[37]   Tolba, M.K. (1984) Harvest of Dust. Desertification Control Bulletin No 10 UNER, Nairobi, 2.4.

[38]   Sulieman, H.M. and Buchroithner, M.F. (2009) Degradation and Abandonment of Mechanized Rain-Fed Agricultural Land in the Southern Gadarif Region, Sudan: The Local Farmers’ Perception. Land Degradation and Development, 20, 199-209. http://dx.doi.org/10.1002/ldr.894

 
 
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