Remote Sensing in Studying Vegetation Cover, Sudan
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Published:
Apr 1, 2022
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1-6
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Eisa M. Ahmed
Department of Crop Protection, Faculty of Natural Resources & Environmental Studies, University of Kordofan, P.O Box 160 –Elobeid, 51111, Sudan.
El Gunaid F. Hassan
Department of Forestry and Range Sciences, University of Bakht Er-Ruda, Ad Duwem, Sudan.
Abstract
This paper aimed at to view some of the studies about the application of remote sensing in Sudan with a focus on vegetation cover in different areas by many of scholars; the integration of remote sensing in the gum Arabic belt; southern Gadarif region; ahable and wad grabou area, white Nile state; east of the Nile Khartoum State, and in the centre during a half-century.
Recommendations stated from these studies are; the use of assessment indicators including NDVI, SAVI and PCA –manipulated in color composite and/or unsupervised classification can be used as an appropriate mean for rangeland monitoring and assessment was recommended from the study of North Kordofan state.
Keywords:
Remote sensing, vegetation, Sudan, land cover, change detection
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References
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Nadir A. Hameid Mohamed, A. Bannari, Hassan Mohamed Fadul, Sumia Zakieldeen. 2016. Ecological Zones Degradation Analysis in Central Sudan during a Half-Century Using Remote Sensing and GIS. Advances in Remote Sensing. 2016;5:355- 371. Available: http://www.scirp.org/journal/ars. ISSN Online: 2169-2688. ISSN Print: 2169-267X.
Shunlin L. Advances in Land Remote Sensing, System, Modeling, Inversion and Application; 2008.
Kuldeep T, Kamlesh K. Land Use / Land cover change detection in Doon valley (Dehradun Tehsil), Uttarakhand: using GIS & Remote Sensing Technique. International Journal of Geomatics and Geosciences. 2011;2(1).
Meyer WB. Past and Present Land-use and Land-cover in the U.S.A. Consequences. 1995:24-33.
Hoffer RM, Stafffleming MD, Hof RM, Mayer KE. Natural Resource Mapping in Mountainous Terrain by Computer Analysis of ERTS-l Satellite Data. Research Bull 919, Agricultural Experiment Station and Lab, for Applications of Remote Sensing, Purdue University, West Lafayette; 1975.
Jensen JR. Remote Sensing of the Environment: An Earth Resources Perspective. Prentice-Hall, Upper Saddle River; 2000.
Peterson DL, Egbert SL, Price KP, Martinko EA. Identifying historical and recent land cover changes in Kansas using post-classification change detection techniques. Transactions of the Kansas Academy of Science. 2004;107(3): 105 – 118.
Sulieman HM. Mapping and Modelling of Vegetation Changes in the Southern Gadarif Region, Sudan, Using Remote Sensing Land-Use Impacts on Biophysical Processes. TUD Press; 2008. ISBN-13: 978-3-940046-57-4.
Moshen A. Environmental Land Use Change Detection and Assessment Using with Multitemporal Satellite Imagery. Zanjan University; 1999.
Curtis E, Woodcock S, Macomber A, Kumar L. Vegetation Mapping and Monitoring. In: Skidmore A, Ed., Environmental Modeling with GIS and Remote Sensing, Taylor and Francis, UK; 2002.
Adam HE. Integration of Remote Sensing and GIS in Studying Vegetation Trends and Conditions in the Gum Arabic Belt in North Kordofan, Sudan; 2010. Available:www.qucosa.de/fileadmin/data/qucosa/.../Hassan_Phd_thesis_Sudan.pdf. 06.12.2010.
El Gunaid FH, ElHag AMH. 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. International Journal Of Scientific & Technology Research. 2013;2(2). ISSN 2277-8616.
Gaiballa AK, Farah AM. A proposed plan for research in desertification in Sudan: White Nile State, proceeding in the National Forum of Scientific Research on Desertification on Sudan, University of Khartoum; 2004.
Babiker EMA, Ibrahim MM, Elhag AMH, Nser SH, Elsheikh MA, Dafaalla MS, Ibrahim IS.. Detection of Changes in Land Use/ Land Cover Using Remote Sensing and GIS Techniques in Area East of the Nile Khartoum State-Sudan. IRA-International Journal of Technology &Engineering ISSN 2455-4480; Vol.10, Issue 02 (February 2018). 2018:12-22. Institute of Research Advances. Available: https://research-advances.org/index.php/IRAJTE.
Nadir A. Hameid Mohamed, A. Bannari, Hassan Mohamed Fadul, Sumia Zakieldeen. 2016. Ecological Zones Degradation Analysis in Central Sudan during a Half-Century Using Remote Sensing and GIS. Advances in Remote Sensing. 2016;5:355- 371. Available: http://www.scirp.org/journal/ars. ISSN Online: 2169-2688. ISSN Print: 2169-267X.