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dc.contributor.authorMutuku, FM
dc.contributor.authorBayoh, MN
dc.contributor.authorHightower, AW
dc.contributor.authorVulule, JM
dc.contributor.authorGimnig, JE
dc.contributor.authorMueke, JM
dc.contributor.authorAmimo, FA
dc.contributor.authorWalke, ED
dc.date.accessioned2017-10-19T09:00:21Z
dc.date.available2017-10-19T09:00:21Z
dc.date.issued2009-12
dc.identifier.urihttp://hdl.handle.net/123456789/7983
dc.description.abstractA supervised land cover classification was developed from very high resolution IKONOS satellite data and extensive ground truth sampling of a ca. 10 sq km malaria-endemic lowland in western Kenya. The classification was then applied to an investigation of distribution of larval Anopheles habitats. The hypothesis was that the distribution and abundance of aquatic habitats of larvae of various species of mosquitoes in the genus Anopheles is associated with identifiable landscape features.en_US
dc.description.sponsorshipTECHNICAL UNIVERSITY OF MOMBASAen_US
dc.language.isoenen_US
dc.publisherTECHNICAL UNIVERSITY OF MOMBASAen_US
dc.subjectmalaria-endemic, western Kenya,Anopheles mosquitoes aquatic habitats of larvae, landscape features.en_US
dc.titleA supervised land cover classification of a western Kenya lowland endemic for human malaria: associations of land cover with larval Anopheles habitatsen_US
dc.typeArticleen_US


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