Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters

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dc.contributor.advisorBernard, Stewarten_ZA
dc.contributor.advisorShillington, Franken_ZA
dc.contributor.authorRobertson, Elisabethen_ZA
dc.date.accessioned2014-10-31T18:06:49Z
dc.date.available2014-10-31T18:06:49Z
dc.date.issued2009en_ZA
dc.descriptionIncludes bibliographical references (leaves 106-117).en_ZA
dc.description.abstractThis study forms the first step towards a comprehensive ocean colour satellite validation strategy for the Southern Benguela region, and underlines the value of a statistical radiometric validation as a prerequisite to any geophysical validation exercise. A radiometric validation exercise was performed using co-incident MERIS RR data and in situ radiometer data from a mooring in the Southern Benguela near Lambert's Bay during the late summer bloom seasons of 2005 and 2006. The data are typified by very high biomass conditions. Sources of error associated with the in situ data are assessed and the magnitudes quantified. The satellite data is examined with particular reference to uncertainty derived from the atmospheric correction processes, which perform unreliably in many of the matchup instances. Results show that the accuracy of the atmospheric correction does not appear to be related to the in-water constituents and is more likely due to atmospheric variability or aerosol features that are not addressed in the models employed by the correction processes. It is also shown that while the radiometric data display a consistent bias in the red region of the spectrum, good correlation with the satellite measurements is observed here under high biomass conditions, underlining the importance of the red wavebands for coastal remote sensing. Recommendations towards the development of a comprehensive regional validation strategy include the establishment of low-cost measurement protocols for high biomass conditions, as well as further investigations into regional atmospheric variability to improve confidence in the atmospheric correction procedures.en_ZA
dc.identifier.apacitationRobertson, E. (2009). <i>Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Oceanography. Retrieved from http://hdl.handle.net/11427/9023en_ZA
dc.identifier.chicagocitationRobertson, Elisabeth. <i>"Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Oceanography, 2009. http://hdl.handle.net/11427/9023en_ZA
dc.identifier.citationRobertson, E. 2009. Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Robertson, Elisabeth AB - This study forms the first step towards a comprehensive ocean colour satellite validation strategy for the Southern Benguela region, and underlines the value of a statistical radiometric validation as a prerequisite to any geophysical validation exercise. A radiometric validation exercise was performed using co-incident MERIS RR data and in situ radiometer data from a mooring in the Southern Benguela near Lambert's Bay during the late summer bloom seasons of 2005 and 2006. The data are typified by very high biomass conditions. Sources of error associated with the in situ data are assessed and the magnitudes quantified. The satellite data is examined with particular reference to uncertainty derived from the atmospheric correction processes, which perform unreliably in many of the matchup instances. Results show that the accuracy of the atmospheric correction does not appear to be related to the in-water constituents and is more likely due to atmospheric variability or aerosol features that are not addressed in the models employed by the correction processes. It is also shown that while the radiometric data display a consistent bias in the red region of the spectrum, good correlation with the satellite measurements is observed here under high biomass conditions, underlining the importance of the red wavebands for coastal remote sensing. Recommendations towards the development of a comprehensive regional validation strategy include the establishment of low-cost measurement protocols for high biomass conditions, as well as further investigations into regional atmospheric variability to improve confidence in the atmospheric correction procedures. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters TI - Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters UR - http://hdl.handle.net/11427/9023 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9023
dc.identifier.vancouvercitationRobertson E. Radiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela waters. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Oceanography, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9023en_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.titleRadiometric validation of multi-spectral ocean colour satellite data in high biomass Southern Benguela watersen_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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