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\hypersetup{pdftitle={Agricultural Landuse Planning Based on Terrain Characteristics Using Remote Sensing and Geographic Information System in the Lower River Benue Floodplain, Nigeria},pdfauthor={Kenneth Uchua, Eron Gajere},pdfsubject={Tropentag 2010: Abstract},pdfkeywords={GIS, landuse planning, remote sensing, river floodplain, terrain characteristics},pdfpagemode=None,colorlinks=true}
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\parbox[b]{13.4cm}{\centering \large{\textbf{Tropentag, September 14-16, 2010, Zurich}}\\[1ex] \Large{``World Food System  ---\\A Contribution from Europe''\\[2ex]}}
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\Large{\textbf{Agricultural Landuse Planning Based on Terrain Characteristics Using Remote Sensing and Geographic Information System in the Lower River Benue Floodplain, Nigeria\footnote{\textbf{Contact Address:} Kenneth Uchua, National Centre for Remote Sensing, Agriculture and Land Resources, Km 11 Jos-Bukuru Expressway, NG~Jos, Nigeria, \mbox{e-mail}: \email{kennuchua@yahoo.co.uk}}\\[0.8ex]}}
\normalsize{\textsc{Kenneth Uchua, Eron Gajere}}
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\begin{itemize*}
\item[]{\small{\textit{National Centre for Remote Sensing, Agriculture and Land Resources, Nigeria}}}
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\index[author]{Uchua, Kenneth}
\index[author]{Gajere, Eron}
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\textbf{Abstract}
\begin{abstract}
\normalsize{
In order to meet the increasing demand for food, the farming community needs to have a good knowledge of landuse and land cover of the area. This can be achieved with optimal success using space technology which has the ability to provide rapid, timely, accurate and reliable data within a given time framework. This necessitated a study on agricultural landuse planning on the basis of terrain characteristics including slope, soil, drainage and erosion parameters using satellite remote sensing and GIS technologies in the Lower River Benue Floodplain, Nigeria. The area is located between latitudes 7\textsuperscript{o}13'N and 8\textsuperscript{o}0'N, and longitudes 8\textsuperscript{o}0'E and 9\textsuperscript{o}0'E with a total basin area of 7685.28 km$^{2}$ and a population figure of 947,138 people. A combination of digital data, collateral data as well as attribute datasets were integrated and manipulated in a GIS environment using appropriate software packages. This paved the way for the generation of the land use / land cover map, physiographic"=soil map, the drainage map, slope map, together with detail morphometric analysis which led to the prioritisation of the sub"=watersheds from least priority (alluvial plains) to high priority (pediments) ratings. The integration of the results of slope, physiography, landuse as well as morphometric analysis using the FAO/USDA classification schemes led to the genaration of land capability maps, whereas the appraisal of the lands of the various sub"=watersheds in terms of their suitability for the cultivation of paddy (rice) crop in turn revealed that the alluvial floodplain and valley fills are highly and moderately suitable for rice cultivation respectively in the Lower River Benue basin. It has become increasingly apparent that computer based GIS and satellite remote sensing data can provide the environment for effective land capability mapping and suitability evaluation for crop production as a stepping stone for sustained landuse planning targeted at addressing issues of agricultural intensification, food security and poverty reduction in Nigeria.







}

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\noindent \textbf{Keywords:} GIS, landuse planning, remote sensing, river floodplain, terrain characteristics
\index[key]{Landuse planning}
\index[key]{Remote sensing}
\index[key]{GIS}
\index[key]{River floodplain}
\index[key]{Terrain characteristics}
\end{document}