Abstract
This chapter aims to assess and map the vegetation cover, which includes Acacia seyal and Acacia senegal trees in the Al-Gadarif area of Sudan, and it aims to assess the degradation of vegetation cover over the area, also including A. senegal and A. seyal trees, during the period between 1999 and 2013. The study utilized two land satellite images for the period from 1999 to 2013 that covered more than 61,000 ha in the study area. Subset images were analyzed using ERDAS Imagine 8.5 software. Layers of height spectrum were used to detect the position of vegetation cover based on supervised analysis after image correction. The degradation in gum Arabic areas was mainly induced through mechanized farming, shifting cultivation, and urbanization activities in the study area. In addition, the study portends that the application of remote sensing technology is an efficient method to use for an exposure of vegetation cover changes in gum Arabic in the study area.
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