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dc.contributor.authorRidgeway, Jason
dc.date.accessioned2014-03-04T01:06:35Z
dc.date.available2014-03-04T01:06:35Z
dc.date.issued2006-05
dc.identifier.otherridgeway_jason_r_200605_ma
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/ridgeway_jason_r_200605_ma
dc.identifier.urihttp://hdl.handle.net/10724/23232
dc.description.abstractInformation about large river channels is required for assessments of ecologically and economically important fish assemblages, but field mapping can be an expensive and time-consuming process. Classification of fluvial fish habitats using remotely sensed images is a potential alternative. This study examines whether widely available satellite images can be used to map habitat on the Lower Congo River in Western Africa using an object-oriented approach. One Landsat 7 image and three ASTER images of the river were classified using object-oriented techniques and the results were compared to existing topographic maps. Although insufficient ground truth data were available for a numerical accuracy assessment, the habitat maps produced from the ASTER images correctly identified all major turbulent areas, islands, and rock formations. This study concludes that an object-oriented approach provides procedural benefits over pixel-based approaches, and that the ability to incorporate spatial context is a major advantage in habitat classification.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectASTER
dc.subjectLandsat
dc.subjectCongo
dc.subjecthabitat
dc.subjectrivers
dc.subjectobject-oriented classification
dc.titleObject-oriented approaches to mapping channel habitat on the lower Congo River
dc.typeThesis
dc.description.degreeMA
dc.description.departmentGeography
dc.description.majorGeography
dc.description.advisorMarguerite Madden
dc.description.committeeMarguerite Madden
dc.description.committeeEdward Gardiner
dc.description.committeeGeorge Brook


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