Land use and land cover classification, changes and analysis in gum Arabic belt in North Kordofan, Sudan

Hassan Elnour Adam; Elmar Csaplovics; Mohamed Eltom Elhaja; Mustafa Mahmoud El Abbas

doi:10.1117/12.2028519

24 October 2013 Land use and land cover classification, changes and analysis in gum Arabic belt in North Kordofan, Sudan

Hassan Elnour Adam, Elmar Csaplovics, Mohamed Eltom Elhaja, Mustafa Mahmoud El Abbas

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Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 88931U (2013) https://doi.org/10.1117/12.2028519
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

The gum arabic belt in Sudan plays a significant role in environmental, social and economical aspects. This research was conducted in North Kordofan State, which is affected by modifications in conditions and composition of vegetation cover trends in the gum arabic belt as in the rest of the Sahelian Sudan zone. The objective of the paper is to study the classification, changes and analysis of the land use and land cover in the gum arabic belt in North Kordofan State in Sudan. The study used imageries from different satellites (Landsat and ASTER) and multi-temporal dates (MSS 1972, TM 1985, ETM+ 1999 and ASTER 2007) acquired in dry season. The imageries were geo-referenced and radiometrically corrected by using ENVI-FLAASH software. Image classification (pixel-based) and accuracy assessment were applied. Application of multi-temporal remote sensing data demonstrated successfully the identification and mapping of land use and land cover into five main classes. Forest dominated by Acacia senegal class was separated covering an area of 21% in the year 2007. The obvious changes and reciprocal conversions in the land use and land cover structure indicate the trends and conditions caused by the human interventions as well as ecological impacts on Acacia senegal trees. Also the study revealed that a drastic loss of forest resources occurred in the gum arabic belt in North Kordofan during 1972 to 2007 (25% for Acacia senegal trees). The study concluded that, using of traditional Acacia senegal-based agro-forestry as one of the most successful form in the gum belt.

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Hassan Elnour Adam, Elmar Csaplovics, Mohamed Eltom Elhaja, and Mustafa Mahmoud El Abbas "Land use and land cover classification, changes and analysis in gum Arabic belt in North Kordofan, Sudan", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931U (24 October 2013); https://doi.org/10.1117/12.2028519

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KEYWORDS

Vegetation

Remote sensing

Earth observing sensors

Accuracy assessment

Image classification

Landsat

Geographic information systems

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