Charles Udosen
University of Uyo, Nigeria
Posters & Accepted Abstracts: J Remote Sensing & GIS
This paper is aimed at delineating flood prone areas within the approximately 32,000 km2 Cross River Basin in S E, Nigeria for flood risk management planning. The vulnerability of low terrains within Cross River Basin to flooding is investigated using hydrological, meteorological and geomorphological approaches. ASTER (Advanced Space borne Thermal Emission and Reflection Radiometer) and GDEMV2 (Global Digital Elevation Model Version 2, with a global resolution of 30 m) were used as basic source of spatial information of the Cross River basin. The derivatives of these analyses and mapping such as slope variability, topographic wetness index (TWI), flow direction and flow accumulation were generated in geographic information system environment. The data sets were projected to the Universal Transverse Mercator (UTM), projected system, Zone 32 North and Datum, World Geodetic System (WGS), 1984. This process was carried out in ArcGISTM environment. Landsat imagery and topographic maps of the basin were employed to generate a flow accumulation model and appropriate reclassification was done to identify areas of high, moderate and low flood vulnerability based on local relief. The study also conducted interviews with representative sample of residents of the flood prone areas within the Cross River Basin using systematic random sampling technique to identify elements at risk. This study has shown that remote sensing is imperative for flood management in developing countries like Nigeria.
Email: charlesudosen@gmail.com