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Proceedings Paper

Soil aggregate stability and wind erodible fraction in a semi-arid environment of White Nile State, Sudan
Author(s): Mohamed Eltom Elhaja; Ibrahim Saeed Ibrahim; Hassan Elnour Adam; Elmar Csaplovics
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Paper Abstract

One of the most important recent issues facing White Nile State, Sudan, as well as Sub Saharan Africa, is the threat of continued land degradation and desertification as a result of climatic factors and human activities. Remote sensing and satellites imageries with multi-temporal and spectral and GIS capability, plays a major role in developing a global and local operational capability for monitoring land degradation and desertification in dry lands, as well as in White Nile State. The process of desertification in form of sand encroachment in White Nile State has increased rapidly, and much effort has been devoted to define and study its causes and impacts. This study depicts the capability afforded by remote sensing and GIS to analyze and map the aggregate stability as indicator for the ability of soil to wind erosion process in White Nile State by using Geo-statistical techniques. Cloud-free subset Landsat; Enhance Thematic Mapper plus (ETM +) scenes covering the study area dated 2008 was selected in order to identify the different features covering the study area as well as to make the soil sampling map. Wet-sieving method was applied to determine the aggregate stability. The geo-statistical methods in EARDAS 9.1 software was used for mapping the aggregate stability. The results showed that the percentage of aggregate stability ranged from (0 to 61%) in the study area, which emphasized the phenomena of sand encroachment from the western part (North Kordofan) to the eastern part (White Nile State), following the wind direction. The study comes out with some valuable recommendations and comments, which could contribute positively in reducing sand encroachments

Paper Details

Date Published: 8 November 2014
PDF: 5 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 926017 (8 November 2014); doi: 10.1117/12.2069182
Show Author Affiliations
Mohamed Eltom Elhaja, Univ. of Kordofan (Sudan)
Ibrahim Saeed Ibrahim, Univ. of Khartoum (Sudan)
Hassan Elnour Adam, Univ. of Kordofan (Sudan)
Elmar Csaplovics, Technische Univ. Dresden (Germany)

Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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