Flood can simply be defined as a flow of water above the carrying capacity of a channel ( NOAA, 1998). It is widely distributed leading to significant economic and social damages than any other natural disaster ( DMSG, 2001). It is the most frequent and devastating natural disaster in the world. It was therefore, suggested that government agencies and policy makers should adopt this powerful technique for reliable and well synthesized information which is a vital component of flood risk assessment and planning.įloods have become a common natural disaster which has claimed many lives, displaced millions and resulted to the destruction of properties and degradation of contiguous farmlands. The result of the analysis effectively demonstrated the contribution of geospatial methods in mitigating and monitoring the effect of flooding along the Niger-Benue basin. The integration of remotely sensed data and other spatial and non-spatial data within the GIS platform was able to produce series of thematic maps which was used to generate a geospatial database for flood risk analysis and assessment. This study attempted to assess the spatial impact of the October 2012 flooding of the Niger-Benue basin on the surrounding areas using the moderate resolution imaging Spectroradiometre (MODIS) data of NASA Terra satellite and developed a geospatial methodology for detecting and extracting the flood risk areas and the vulnerable population to flooding within the basin. Although, the National Emergency Management Agency (NEMA) predicted the occurrence of the flood disaster and advised the relocation of residence from the floodplain to the high ground, but spatial information pertaining to the areal extent vulnerable to the hazard was not made available. Recently, it displaced millions of people in Nigeria and submerged several square kilometres of landed area in general and farmlands in particular. ![]() River flooding has become a widely distributed and devastating natural disaster that has caused significant damages both economically and socially. Keywords: Geospatial MODIS Buffer Flood Disaster Niger-Benue Basin Received Janurevised Februaccepted March 14, 2013 This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ![]() 1Department of Geography and Regional Planning, University of Benin, Benin City, NigeriaĢDepartment of Geography and Regional Planning, Delta State University, Abraka, NigeriaĮmail: © 2013 Felix Ndidi Nkeki et al.
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