International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Contact Us

IJSTR >> Volume 4 - Issue 5, May 2015 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Land Use/Land Cover Change Detection In Semi-Arid Lands: A Study From Sudan-Ghubaysh Area: A GIS And Remote Sensing Perspective

[Full Text]



Hamid Hamed Ibrahim, Ahmed H. I. Elfaig, Mokhtar, J, Omer Egemi, Mohammed Abdelkreim



Key words: Change Detection, Expansion, GIS, Remote Sensing, Spatial Data, Sudan



Abstract: This article investigates and analyzes land use/land cover change in Ghubaysh area-Western Sudan during the period 1973-2010. The main objective of the article is to detect and identify land cover changes that have occurred during the last four decades. Multi-temporal satellites images (MSS, TM and ETM+) of 1973, 1987 and 2006 were used for data collection. The EARDAS Imagine classifier tool 9.2 and ArcGIS 10.2 have been used in the data analysis. Cultivated area, Wadis, shrubs, grass and forest were the most dynamic parameters used in land cover classification. Results showed high level of accuracy (98.2%, 96.3 and 89.6%) for the selected images for the years 1973, 1987 and 2006, respectively. The results also showed that the study area was once very rich in vegetation cover consisted of grass shrubs and forest which covered 86.7% of the study area. A prolonged and unsystematic change in land cover was reported. The agricultural area increased by a rate of +1.8% and shrubs increased by a rate of +0.67 per year during the last four decades. A decrease in land cover by a rate of -1.4, -0.37 and -0.08 was accounted for grass area, forest and Wadies, respectively. A remarkable change has taken place in agricultural area from 9.8% in the year 1973 to 41.4% in the year 2010. This expansion is at the expense of the area covered by grass, forest and Wadis.



[1] Barbour, K, M. (1965).The Republic of the Sudan, A regional geography. The University of London press.

[2] El Tom, M.A. 1975. The Rains of The Sudan. Mechanisms and Distribution, Khartoum, University of Khartoum press

[3] Gbenga, O. E. 2008. Remote Sensing for Agricultural Land Use Changes and Sustainability Monitoring in Sudan. Master Thesis, Linkoping University, Sweden

[4] Harison, M. and J. K. Jackson (1958). Ecological Classification of the Vegetation of Sudan. Forest Bulletin No. 2. Forest Department Khartoum

[5] Kuldeep. T and Kamlesh, K (2011). Land Use / Land cover change detection in Doon valley (Dehradun Tehsil), Uttarakhand: using GIS & Remote Sensing Technique. International Journal of Geomatics and Geosciences. V.2, No 1.

[6] Lebon, J.h. (1965). Land use in the Sudan. The World Land use Survey Monograph, No.4

[7] Nicholson, S.E; M.B.BA and Kim, J.Y. 1996. Rainfall in the Sahel. J. of Climate, vol. 9. No.

[8] Noam, L., 1999. Fundamentals of Remote Sensing. Tel Aviv University, Israel

[9] Sanyal, J., and Lu., X. X. 2004. Application of Remote in Flood Management with Special Reference to Monsoon Asia. Natural Hazard 33. Kluver Academic Publisher, Netherlands

[10] Shiraz, O.S., 2014. Landover change in Khartoum city during the period 1987-2014: A Remote Sensing Approach. Unpublished M.Sc. Thesis. University of Khartoum

[11] Singh, A. 1989. Review Article: Digital change detection techniques using remotely-sensed data. Int. J. Remote Sensing, 10(6).

[12] Shunlin, L., 2008. Advances in Land Remote Sensing, System, Modeling, Inversion and Application.

[13] Smith, J. (1949) Distribution of Trees Species in the Sudan in Relation to Rainfall and Soils Texture. Ministry of Agriculture, Sudan government; Bulletin no.4, Khartoum

[14] Sudan Survey Department (1983): 1:4 Million Scale Map of Vegetation Sudan. Khartoum