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International Journal of Scientific & Technology Research

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IJSTR >> Volume 2- Issue 2, February 2013 Edition



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

Website: http://www.ijstr.org

ISSN 2277-8616



Assessment And Mapping Of Land Use/Land Cover, Using Remote Sensing And Gis Techniques; Case Study: Ahable And Wad Grabou Area, Whaite Nile State, Sudan

[Full Text]

 

AUTHOR(S)

El Gunaid F. Hassan, ElHag A. M. H

 

KEYWORDS

 

ABSTRACT

Abstract: -THIS study focused on the assessment of and mapping of land use land cover change the White Nile state, Sudan. Through mapping and monitoring, the changes that occurred in land use land cover, due to drought, climate change and mismanagement. The study attempted also to update some information in the study area such vegetation cover and Vegetation density using different methods of data transformation and analysis such as statistical analysis, GIS and remote sensing techniques The Result showed that the White Nile State was rich of forest, agricultural lands and has extensive water resources of 26 million cubic meters from the White Nile water in addition to rain. The state plays a significant role in environmental, social and economic aspects of Sudan. The state has suffered from deforestation and degradation due to natural hazards and human activities. This research conducted by application of remote sensing and investigated the possibility of identification, monitoring and mapping of the land use land cover changes and dynamics in the White Nile state during the last 30 years. The result show that land use land cover structure in the White Nile has obvious Changes and there is strong relations between forest cover changes and land area clearance for agriculture.

 

REFERENCES

[1] Aspinalls, R. J. and Hill, M. j. 2008. Land use change, science policy and magamegent.New York CRC Press, Taylor and Francis Group.

[2] Barredo, J. I. and Sendra, J. B. 1998. Multi-criteria evaluation methods for ordinal data ina GIS environment. Geographical Systems, 313-327.

[3] Campbell, J. B. 2002. Introduction to remote sensing. (3rd ed.), Taylor and Francis.

[4] Chuvieco, E. and Huete, A. 2010. Fundamental of satellite remote sensing, Taylor andFrancis Group, New York.

[5] Foody. G. M. and Atkinson, P. M. 2002. Uncertainty in remote sensing and GIS, JohnWiley and Sons, London.

[6] Gaiballa.A.K.andFarah,A.M.2004.Aproposed plan for research in deserrtification in Sudan:White Nile State,proceeding in the National Forum of Scientific Research on Desertification on Sudan,University of Khartoum.(2004).

[7] Landgrebe, D. A. 2003. Signal theory methods in multispectral remote sensing. HobokenN. J. Wiley.

[8] Lillesand, M. T., KIefer, W. R. and Chipman, N, J. 2008. Remote sensing and imageinterpretation (6th ed). John Wiley and Sons, Inc, New York.

[9] Read, J. M. . Lam, N. S. N. 2002. Spatial methods for characterizing land cover and detecting land cover changes for the tropics. International Journal of RemoteSensing, 23 (12): 2457-2474.

[10] Sabins, F. F. 1997. Remote sensing, principles and interpretation. (3rd ed). W. H. Freemanand Company, New York.

[11] Schowengerdt, R. A. 2007. Remote sensing, models and methods for image processing. (3rd ed), Elservier Inc. New York, USA.

[12] Seto, K. C., Woodcock, C. E., Song, C. Huang, X., LU. andKaufmann,R. K. 2002.Monitoring landscape change in the Pearl River Delta using Landsat TM.International Journal of Remote Sensing, 23 (10): 1985-2004.

[13] Shao, and Reynolds, K. M. 2006. Computer applications in sustainable forestmanagement: including perspectives on collaboration and integration. Springer Netherlands.