The bio-optical detection of harmful algal blooms

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dc.contributor.advisorProbyn, Trevoren_ZA
dc.contributor.advisorShillington, Franken_ZA
dc.contributor.authorBernard, Stewarten_ZA
dc.date.accessioned2014-08-13T19:48:22Z
dc.date.available2014-08-13T19:48:22Z
dc.date.issued2005en_ZA
dc.descriptionIncludes bibliographical references (p. 176-188).en_ZA
dc.description.abstractAn analytical framework for the simulation and quantitative interpretation of ocean colour data is presented, providing an inverse reflectance algorithm designed for the detection of harmful algal blooms. The adopted framework focuses on establishing quantitative relationships between optically important algal intracellular properties and inherent optical properties (IOPs), such as the absorption and backscattering coefficients, and the resultant effects on remote-sensing reflectance. A principal aim of the study is to establish the determinant variables of the IOPs associated with natural algal assemblages, and provide a means of simulating these IOPs. Algal size is an important determinant of optical properties, and the study demonstrates algal IOP simulation, using equivalent particle size distributions that can be simply parameterised with regard to effective cell diameter. Statistical analyses of causal variability are also conducted on absorption data from a variety of natural algal assemblages, revealing the relative importance of cell size, intracellular Chi a concentration, and accessory pigment complement. An improved understanding of algal angular scattering is regarded as key to the analytical modelling of ocean colour, and the use of two-layered spherical models for the simulation of algal scattering properties is investigated. Preliminary validation of the combined use of the equivalent size and two-layered models indicates that they are capable of adequately simulating the remote-sensing reflectance properties of high biomass bloom waters.en_ZA
dc.identifier.apacitationBernard, S. (2005). <i>The bio-optical detection of harmful algal blooms</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Oceanography. Retrieved from http://hdl.handle.net/11427/6461en_ZA
dc.identifier.chicagocitationBernard, Stewart. <i>"The bio-optical detection of harmful algal blooms."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Oceanography, 2005. http://hdl.handle.net/11427/6461en_ZA
dc.identifier.citationBernard, S. 2005. The bio-optical detection of harmful algal blooms. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Bernard, Stewart AB - An analytical framework for the simulation and quantitative interpretation of ocean colour data is presented, providing an inverse reflectance algorithm designed for the detection of harmful algal blooms. The adopted framework focuses on establishing quantitative relationships between optically important algal intracellular properties and inherent optical properties (IOPs), such as the absorption and backscattering coefficients, and the resultant effects on remote-sensing reflectance. A principal aim of the study is to establish the determinant variables of the IOPs associated with natural algal assemblages, and provide a means of simulating these IOPs. Algal size is an important determinant of optical properties, and the study demonstrates algal IOP simulation, using equivalent particle size distributions that can be simply parameterised with regard to effective cell diameter. Statistical analyses of causal variability are also conducted on absorption data from a variety of natural algal assemblages, revealing the relative importance of cell size, intracellular Chi a concentration, and accessory pigment complement. An improved understanding of algal angular scattering is regarded as key to the analytical modelling of ocean colour, and the use of two-layered spherical models for the simulation of algal scattering properties is investigated. Preliminary validation of the combined use of the equivalent size and two-layered models indicates that they are capable of adequately simulating the remote-sensing reflectance properties of high biomass bloom waters. DA - 2005 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 T1 - The bio-optical detection of harmful algal blooms TI - The bio-optical detection of harmful algal blooms UR - http://hdl.handle.net/11427/6461 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/6461
dc.identifier.vancouvercitationBernard S. The bio-optical detection of harmful algal blooms. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Oceanography, 2005 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/6461en_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.titleThe bio-optical detection of harmful algal bloomsen_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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