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\hypersetup{pdftitle={Assessment and Prediction of Unsustainable Land Use Practices Impact on Vegetation Degradation in Semi-Arid Sudan},pdfauthor={Abdelnasir Ibrahim Ali Hano, Elmar Csaplovics},pdfsubject={Tropentag 2016: Abstract},pdfkeywords={Land use, remote sensing, semiarid, vegetation degradation},pdfpagemode=None,colorlinks=true}
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\parbox[b]{13.4cm}{\centering \large{\textbf{Tropentag, September 18-21, 2016, Vienna, Austria}}\\[1ex] \Large{``Solidarity in a competing world ---\\fair use of resources''\\[2ex]}}
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\Large{\textbf{Assessment and Prediction of Unsustainable Land Use Practices Impact on Vegetation Degradation in Semi-Arid Sudan\footnote{\textbf{Contact Address:} Abdelnasir Ibrahim Ali Hano, University of Khartoum, Dept. of Conservation and Protection, Ameen karib street, 13311~Khartoum, Sudan, \mbox{e-mail}: \email{nasirhanno@gmail.com}}\\[0.8ex]}}
\normalsize{\textsc{Abdelnasir Ibrahim Ali Hano$^{1}$, Elmar Csaplovics$^{2}$}}
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\begin{itemize*}
\item[]{\small{\textit{$^{1}$University of Khartoum, Dept. of Conservation and Protection, Sudan}}}
\item[]{\small{\textit{$^{2}$Technische Universität Dresden, Inst. of Photogrammetry and Remote Sensing, Germany}}}
\end{itemize*}
\index[author]{Hano, Abdelnasir Ibrahim Ali}
\index[author]{Csaplovics, Elmar}
\begin{center}
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\textbf{Abstract}
\begin{abstract}
\normalsize{
Vegetation cover is a critical key component of an ecosystem; particularly its importance is increasingly to get in arid land environments. Therefore vegetation degradation leads to environmental problems at local, national and international scale. Probably the unsustainable land use patterns which have been practicing in semi arid region of Sudan and most of the developing countries are considered the main causative vegetation degrading factors. Thus, the research aimed at assessing unsustainable land use patterns which were practicing in the past to link with the present and predicting the future. The methodology relied upon remote sensing and GIS technology supported by land survey for obtaining spatial and temporal information of 37 years (1972--2009) for the assessment. Then the extracted information was used as data, inserted in SSPS software for analysing and finding out SPSS- Pearson coefficient correlation matrix (PCM) results and multi"=linear regression model for the prediction. The study was applied in Elgetiena Locality of White Nile State in Sudan. The findings revealed that a partial geospatial mutual conversion occurred between the vegetation cover (VC) and the LU activities which led to vegetation cover degradation during 1973 -- 1986 and 1986 -- 2009 respectively. The important PCM output depicted that: VC correlation with the fallow land was very strong and significant (0.995**). The resultant model of VC is VC = 735.519 -- 1.105falow land -- 3.357 residential area indicating that the fallow land and residential area will cause and determine VC in the future. The study is critical pre step for sustainable management of land use patterns and vegetation cover in semiarid land. }

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\noindent \textbf{Keywords:} Land use, remote sensing, semiarid, vegetation degradation
\index[key]{Land!use}
\index[key]{Remote sensing}
\index[key]{Semiarid}
\index[key]{Vegetation degradation}
\end{document}
