Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda)

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dc.contributor.advisorRüther, Heinzen_ZA
dc.contributor.advisorOkia, Yafesien_ZA
dc.contributor.authorOtukei, John Richarden_ZA
dc.date.accessioned2015-01-06T06:53:36Z
dc.date.available2015-01-06T06:53:36Z
dc.date.issued2004en_ZA
dc.descriptionIncludes bibliographical references (leaves 122-124).en_ZA
dc.description.abstractIt is well established that land cover information is an essential component in the creation of spatial information systems. Lack of current land cover information constitutes a weakness in land resource management especially in developing countries like Uganda. In response to this need, the thesis reports on a case study on tropical forest mapping in Uganda. The geographic area of study is the Bwindi Impenetrable National Park located in the southwest of the country. Digital image processing techniques were applied to SPOT and Landsat Imagery using Erdas Imagine (8.4) and Arc View GIS software. A combination of original and derived bands (Principal Components, Tasseled Cap and Texture Analysis) was used for the image analysis. Both supervised and unsupervised classification approaches were used. The optimal combination of bands was selected on the basis of secondary correlation analysis of the derived as well as original bands. Further identification of the best bands was based on separability indices. With the band combination selected, four main land cover classes were identified in the forest i.e. dense evergreen forest, evergreen forest, mixed rangeland and brush land. In addition to this, three other land use types were extracted from the imagery within the neighborhood of the forest and these were subsistence farmlands, plantation farmlands (tea plantation) and woodland. The results were confirmed by post processing field inspection.en_ZA
dc.identifier.apacitationOtukei, J. R. (2004). <i>Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda)</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics. Retrieved from http://hdl.handle.net/11427/11517en_ZA
dc.identifier.chicagocitationOtukei, John Richard. <i>"Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda)."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics, 2004. http://hdl.handle.net/11427/11517en_ZA
dc.identifier.citationOtukei, J. 2004. Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda). University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Otukei, John Richard AB - It is well established that land cover information is an essential component in the creation of spatial information systems. Lack of current land cover information constitutes a weakness in land resource management especially in developing countries like Uganda. In response to this need, the thesis reports on a case study on tropical forest mapping in Uganda. The geographic area of study is the Bwindi Impenetrable National Park located in the southwest of the country. Digital image processing techniques were applied to SPOT and Landsat Imagery using Erdas Imagine (8.4) and Arc View GIS software. A combination of original and derived bands (Principal Components, Tasseled Cap and Texture Analysis) was used for the image analysis. Both supervised and unsupervised classification approaches were used. The optimal combination of bands was selected on the basis of secondary correlation analysis of the derived as well as original bands. Further identification of the best bands was based on separability indices. With the band combination selected, four main land cover classes were identified in the forest i.e. dense evergreen forest, evergreen forest, mixed rangeland and brush land. In addition to this, three other land use types were extracted from the imagery within the neighborhood of the forest and these were subsistence farmlands, plantation farmlands (tea plantation) and woodland. The results were confirmed by post processing field inspection. DA - 2004 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2004 T1 - Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda) TI - Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda) UR - http://hdl.handle.net/11427/11517 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11517
dc.identifier.vancouvercitationOtukei JR. Mapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda). [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics, 2004 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11517en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Geomaticsen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEngineeringen_ZA
dc.titleMapping the forest cover of Uganda with Spot (XS) and Landsat (ETM+) images : (a case study of Bwindi Impenetrable National Park, Uganda)en_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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