International Journal of Advanced Multidisciplinary Research and Studies
Volume 2, Issue 2, 2022
Land-cover mapping using Landsat Data in a section of Greater Kordofan region of Sudan
Author(s): Mohammed Abdelmanan Hassan, Xiaoli Zhang, Mulik Abbaker Ibrahim, Mohammed Ishag Arbab
Abstract:
Mapping land cover is fundamental way to support environmental survey and monitoring of ecosystem transition status. This study aimed to map the major land cover categories in order to shed more light on natural environmental processes and human induced in West Kordofan Region. We classified land cover categories by using supervised classification based on Maximum Likelihood Classifier. Then, in 2015 we found that, sand is one of the major land cover categories with 8374.56 km2; others land cover includes water, vegetation, agriculture and bare lands with percentage area of 0.09 %, 20.4 %, 17.06 % and 55.09 % respectively. We also found that Landsat ETM+ is a powerful tool for land cover mapping, and we obtained a classification map with an overall accuracy of 85.7 % and Kappa statistic at 0.80. The resultant represents constant reality in discrete land cover categories, showing where and how land deterioration is likely to occur. This study can contribute to future policies and planning in the region.
Keywords: Monitoring, Semi-Arid, Vegetation Cover, Human Induced, Satellite Images
Pages: 131-137
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