SURV M. O. EKUN

Flooding generally is one of the major natural disasters anywhere around the globe. Theeffect of flood has led to major losses including human, property, infrastructureandeconomic losses. Due to climatic conditions, the impact of flood has greatly increasedoverthe years. Remote Sensing is a technique to observe the earth surface or the atmospherefromout of space using satellites (space borne) or from the air using aircrafts which are airborne. The satellite imagery of the project area was downloaded from United State Geological Survey (USGS). The imagery was screened and the data was extracted using the ARCGIS10.4 software in other to determine the land use features and some other factors responsiblefor flooding in the study area. Domain definition, colour composite, image classification, creation of sample set, post classification comparison’ and sub setting were carried out onthedownloaded imagery. The processed imagery was used to identify bare land, built upareas, rocks and vegetation. The digital elevation model showing the unique features of the studyarea was also produced from this procedure. The land use map, the flood map, and thefloodvulnerability map were also produced. Rainfall data were sourced geospatially from2012to2020, this is to provide the rainfall pattern in the study area. The result obtained from the study revealed that land use has changed significantlyinthestudy area in the last ten years. The result showed that bare lands and vegetationarefast giving way from residential, large scale industries, commercial estates andotherinfrastructural development. From this, over 80% of arable lands are either paved or surfacesimproved which is responsible for low water infiltration resulting in flooding. Withinthisperiod rainfall has also increased significantly from 2087mm in 2012 to 2674mmin2020. This makes large proportion of the area venerable to flooding as showed in the flood mapandvenerability map of the study area. Proper flooding measures have to be put in placetoprevent inundation of the study area.