Application of GIS and Remote Sensing in the Assessment of Groundwater Potential (Case Study of Federal University of Technology Minna Gidan-Kwano Campus)

Abstract

This paper employed the principle of GIS and Remote Sensing to evaluate zones of groundwater potential for a selected part of Gidan Kwano Campus in the Federal University of Technology Minna, Niger State, Nigeria. Multispectral image analysis and GIS were used to analyze satellite images covering Minna metropolis. Image pre-processing (image enhancement and filtering) and image classification were done to identify zones of groundwater potentials in the study area (Gidan Kwano Campus of FUT Minna). The zones of groundwater potentials were classified into four different classes (namely: excellent, good, very fair and poor) based on their capability to store water. It is found that about 6.92% of the area can be identified as excellent zones of groundwater potential while 45.99%, 43.72% and 3.38% of the remaining area fall under good, very fair and poor zones of groundwater potential respectively. Validation of result was done using Global Positioning System (GPS) and the existing borehole points in the study area.