Journal of Remote Sensing & GIS

Journal of Remote Sensing & GIS
Open Access

ISSN: 2469-4134

Omer AA

Department of Forest Products and Industries, University of Khartoum, Khartoum North, Sudan

  • Research Article   
    Detecting and Mapping the Influences of Vegetation Cover on Runoff and Torrents in Khartoum State, Sudan
    Author(s): Omer AA*, Hassan A and Hano A

    The study was carried out in Omdurman and Sharg El-Neel to map and detect how the status of vegetation cover impacts on runoff and torrents. Satellite imageries of Landsat Thematic Mapper (TM) of 1994-2009 and Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) of 2018 were processed to derive accurate land use and land cover (LULC), using hybrid classification and normalized differences vegetation index (NDVI) of the study area. The results revealed changes in LULC classes during the study period (1994, 2009 and 2018). Omdurman area showed that the vegetation cover for the years 1994, 2009 and 2018 was 3.2%, 3.1% and 4.2% respectively. The respective sandy soil ratio was 18.2%, 34.9% and 27.6%. The water bodies were found to cover only 0.5%, 0.5% and 0.7% respectively. These results indicated that the area of vegetation cover was less than other LULC. Contrary, results from Sh.. Read More»
    DOI: 10.35248/2469-4134.21.10.289

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