Specific applications of satelite remote sensing to the Benguela ecosystem

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dc.contributor.advisorShillington, Franken_ZA
dc.contributor.advisorBarlow, RGen_ZA
dc.contributor.advisorRoy, Claudeen_ZA
dc.contributor.authorWeeks, Scarla Jeanneen_ZA
dc.date.accessioned2015-01-06T12:12:16Z
dc.date.available2015-01-06T12:12:16Z
dc.date.issued2005en_ZA
dc.descriptionBibliography: p. 111-115.en_ZA
dc.description.abstractThe objective of this thesis was to utilise high resolution satellite data, from the NOAA AVHRR and OrbView-2 SeaWiFS sensors, to investigate the upper layer dynamics of the Benguela ecosystem in more detailed space and time scales than previously undertaken. The standard for SeaWiFS bio-optical algorithms and processing parameters are not ideal for the highly productive Benguela waters. Hence, a detailed investigation was undertaken, and the processing parameters modified for more optical application to Benguela waters. Examination of the individual radiances used in the bio-optical algorithm revealed that constituents, other than chlorophyll, were at times contributing significantly to the in-water light field. The approach adopted in this thesis was that the application of satellite data to Benguela waters should be considered either as qualitative, for event scale phenomena, or quantitative, for the longterm study.en_ZA
dc.identifier.apacitationWeeks, S. J. (2005). <i>Specific applications of satelite remote sensing to the Benguela ecosystem</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Oceanography. Retrieved from http://hdl.handle.net/11427/11574en_ZA
dc.identifier.chicagocitationWeeks, Scarla Jeanne. <i>"Specific applications of satelite remote sensing to the Benguela ecosystem."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Oceanography, 2005. http://hdl.handle.net/11427/11574en_ZA
dc.identifier.citationWeeks, S. 2005. Specific applications of satelite remote sensing to the Benguela ecosystem. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Weeks, Scarla Jeanne AB - The objective of this thesis was to utilise high resolution satellite data, from the NOAA AVHRR and OrbView-2 SeaWiFS sensors, to investigate the upper layer dynamics of the Benguela ecosystem in more detailed space and time scales than previously undertaken. The standard for SeaWiFS bio-optical algorithms and processing parameters are not ideal for the highly productive Benguela waters. Hence, a detailed investigation was undertaken, and the processing parameters modified for more optical application to Benguela waters. Examination of the individual radiances used in the bio-optical algorithm revealed that constituents, other than chlorophyll, were at times contributing significantly to the in-water light field. The approach adopted in this thesis was that the application of satellite data to Benguela waters should be considered either as qualitative, for event scale phenomena, or quantitative, for the longterm study. DA - 2005 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 T1 - Specific applications of satelite remote sensing to the Benguela ecosystem TI - Specific applications of satelite remote sensing to the Benguela ecosystem UR - http://hdl.handle.net/11427/11574 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11574
dc.identifier.vancouvercitationWeeks SJ. Specific applications of satelite remote sensing to the Benguela ecosystem. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Oceanography, 2005 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11574en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Oceanographyen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherOceanographyen_ZA
dc.titleSpecific applications of satelite remote sensing to the Benguela ecosystemen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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