Application of GIS and remote sensed data in assessing suitable sites for fish farming :

dc.contributor.authorKomakech, Daniel
dc.date.accessioned2022-04-05T06:22:56Z
dc.date.available2022-04-05T06:22:56Z
dc.date.issued2022
dc.descriptionDissertation.en_US
dc.description.abstractSite selection for aquaculture development is a complex task involving identification of areas that are economically, socially and environmentally suitable, which can also be available for aquaculture. Geographic information systems and remote sensing technologies, which facilitate the integration and analysis of spatial and attribute data from multiple sources, have been widely used for selecting suitable sites for different land uses. This study used these technologies to identify sites suitable for fish farming in Greater Apac and assessed it for validation. The study developed map-based site selection criteria, using soil quality, stream water availability, DEM and slope. These criteria were then implemented, fish farm potential sites identified, the total area estimated and the suitability area validated. The study predicted that about 483.91 km2 (15%) were highly suitable of the total arable area in Greater Apac. The study estimates that most of the soil samples collected from the sample villages and tested corresponded with the results from the model.en_US
dc.description.sponsorshipMr. Mugisha Moses, Busitema Universityen_US
dc.identifier.citationKomakech, Daniel. (2022). Application of GIS and remote sensed data in assessing suitable sites for fish farming : case study : Greater Apac. Busitema University. Unpublished dissertation.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12283/1016
dc.language.isoenen_US
dc.publisherBusitema Universityen_US
dc.subjectAquacultureen_US
dc.subjectLand usesen_US
dc.subjectFish farmingen_US
dc.subjectSoil qualityen_US
dc.titleApplication of GIS and remote sensed data in assessing suitable sites for fish farming :en_US
dc.title.alternativecase study : Greater Apac.en_US
dc.typeThesisen_US

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