Flood is one of the most harmful disasters in the world, and it is significant to obtain reliable
information on flood characteristics for disaster mitigation. This study analyzed flood risk
inundation in Birnin Kebbi town by applying the Shuttle Radar Topography Mission (SRTM)
DEM data and some hazard remote sensing datasets (landsat) in the environment of GIS,
which employs the simplified process representation capable of simulating the risk of flood
hazard inundation. Digitizing was employed to extract the landuse/landcover features and the
field observed flood data was used for the slicing operation. Hence all areas below the highest
recorded 2012 flooded point (207m) were assumed to be completely submerged while areas
above 207m were not flooded. This data was vectorized and the “flooded area” was extracted
separately using the “SQL select” in ArcGIS environment. The “flooded area” layer was
crossed with the LULC layer using the “intersection” tool in arcmap and was used to estimate
the lulc affected by the flood event. The table was exported as “DBF” to estimate the damage
extend in hectares and for further analysis. The result showed that the fadama agriculture and
farmland are the most vulnerable to flood while a little portion of the settlement has
encroached into the flooded areas.