Using geospatial analytics to find prospective locations for water harvesting in Northern Ghana

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Access to potable water is a difficulty for about a quarter of the world’s population. The people living in the northern regions of Ghana, which have arid to semi-arid vegetation cover, form a significantly large percentage of that number in Ghana. Rainwater harvesting has been found to be an appropriate measure to mitigate the effects of water shortages, but its practice has also been fraught with various challenges. Advancing technology has encouraged much research into the best ways to optimise water catchment and distribution in Ghana, but little documented evidence exists on the application of Geographic Information Systems and Remote Sensing. This study investigates the potential of geospatial analytics in selecting suitable locations to channel resources for optimised rainwater harvesting. Adopting a Multi-Criteria Overlay Analysis model, suitability maps were created to be used as a visualisation tool for the classification of places as suitable or not.
Undergraduate thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020
geospatial analytics, rainwater harvesting, QGIS software, Landsat-8, Volta River basin, mapping