Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/12700
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dc.contributor.authorIbrahim, Saratu Usman-
dc.contributor.authorOkogbe, E.F.-
dc.contributor.authorSadiku, S.O.E.-
dc.date.accessioned2021-08-06T15:02:57Z-
dc.date.available2021-08-06T15:02:57Z-
dc.date.issued2011-08-25-
dc.identifier.citationNishida T. and Caton, A.E(Editors).2013.GIS/Spatial analysis in fishery and aquatic Sciences (Vol.5).international fishery GIS Society,Saitama, Japan.246 pp.(ISBN:978-4-9902377-3-8))en_US
dc.identifier.isbn978-4-9902377-3-8-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/12700-
dc.description.abstractFisheries and aquaculture in artificial or natural impoundments (small water bodies) in the Minna region of Niger State, Nigeria, appear to have excellent development potential if suitably identified and analyzed. Using 2005 LANDSAT imagery, ten water bodies were identified in the region and the surface area of each was calculated. Their total surface area was 4,767, 621.643 square meters (m2). Using an assumed upper rate of 5 fish m-2 and a lower rate of 3 fish m-2, an estimate of catfish-stocking potential was calculated for each of the water bodies. A total potential carrying capacity of 24million catfish for high-density stocking and 14 Million catfish for low-density stocking was predicted. An overall map of the identified water bodies was produced showing their shapes and the co-ordinates of each were identified by global positioning system. The total-stocking-density estimates revealed that tonnes of fish could potentially be produced in the Minna region. The result also served as a database on water bodies in the region.en_US
dc.description.sponsorshipSelf Efforten_US
dc.language.isoenen_US
dc.relation.ispartofseriesvolume 5;-
dc.subjectSurface areaen_US
dc.subjectArtificial impoundmenten_US
dc.subjectStocking rateen_US
dc.subjectStocking Densityen_US
dc.subjectMapsen_US
dc.subjectGlobal Positioning Systemen_US
dc.subjectDatabase.en_US
dc.subjectLANDSAT Imageryen_US
dc.titleEstimating fish stocking densities using Landsat imagery and Geographic Information Systemsen_US
dc.typeArticleen_US
Appears in Collections:Water Resources, Aquaculture & Fisheries Technology



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