Spatiotemporal Morphodynamics of the Nigerian Coastline

Abstract

Integrated Remote Sensing (RS) and Geographic Information System (GIS) Technology was used to predict and model the morphodynamics of the Nigerian Coastline in order to highlight mor-phodynamic active areas of threat to Oil/Gas infrastructure within coastal zone. Satellite imagery for 1987, 2002, 2015 and 2016 of the Nigerian coastline were acquired and analyzed using ArcGIS 10.5.0 software, Digital Shoreline Analysis System (DSAS v4.4) and Malthusian exponential equation Results of the satellite imagery revealed average values of end point rate (EPR) 4.17m/year and least median square (LMS) 3.54m/year for 1987 to 2016. Shoreline Area Change (SAC) was developed to aid visualization of the digitized coastline as against the poor visualiza-tion using ArcGIS software. The rates of change shows that accretion is higher than erosion and erosion is higher than accretion for some of the periods

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