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

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dc.contributor.authorBoye, Naa Lamle
dc.date.accessioned2020-11-10T12:34:46Z
dc.date.available2020-11-10T12:34:46Z
dc.date.issued2020-05
dc.descriptionUndergraduate thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020en_US
dc.description.abstractAccess 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.en_US
dc.description.sponsorshipAshesi Universityen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11988/588
dc.language.isoen_USen_US
dc.subjectgeospatial analyticsen_US
dc.subjectrainwater harvestingen_US
dc.subjectQGIS softwareen_US
dc.subjectLandsat-8en_US
dc.subjectVolta River basinen_US
dc.subjectmappingen_US
dc.titleUsing geospatial analytics to find prospective locations for water harvesting in Northern Ghanaen_US
dc.typeThesisen_US

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