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dc.contributor.authorKay, Susan Barbaraen_GB
dc.date.accessioned2012-05-04T13:38:28Zen_GB
dc.date.accessioned2013-03-21T10:38:41Z
dc.date.issued2011-12-19en_GB
dc.description.abstractRemote sensing is a powerful tool for studying the marine environment; however, many images are contaminated by sun glint, the specular reflection of light from the water surface. Improved radiative transfer modelling could lead to better methods for estimating and correcting sunglint. This thesis explores the effect of using detailed numerical models of the sea surface when investigating the transfer of light through the atmosphere-ocean system. New numerical realisations that model both the shape and slope of the sea surface have been created; these contrast with existing radiative transfer models, where the air-water interface has slope but not elevation. Surface realisations including features on a scale from 3 mm to 200 m were created by a Fourier synthesis method, using up to date spectra of the wind-blown sea surface. The surfaces had mean square slopes and elevation variances in line with those of observed seas, for wind speeds up to 15 m/s. Ray-tracing using the new surfaces gave estimates of reflected radiance that were similar to those made using slope statistics methods, but significantly different in 41% of cases tested. The mean difference in the reflected radiance at these points was 19%, median 7%. Elevation-based surfaces give increased sideways scattering and reduced forward scattering of light incident on the sea surface. The elevation-based models have been applied to estimate pixel-pixel variation in ocean colour imagery and to simulate scenes viewed by three types of sensor. The simulations correctly estimated the size and position of the glint zone. Simulations of two ocean colour images gave a lower peak reflectance than the original values, but higher reflectance at the edge of the glint zone. The use of the simulation to test glint correction methods has been demonstrated, as have global Monte Carlo techniques for investigating sensitivity and uncertainty in sun glint correction. This work has shown that elevation-based sea surface models can be created and tested using readily-available computer hardware. The new model can be used to simulate glint in a variety of situations, giving a tool for testing glint correction methods. It could also be used for glint correction directly, by predicting the level of sun glint in a given set of conditions.en_GB
dc.description.sponsorshipGreat Western Research; ARGANS Ltden_GB
dc.identifier.citationKay, S.; Hedley, J.D.; Lavender, S. Sun Glint Correction of High and Low Spatial Resolution Images of Aquatic Scenes: a Review of Methods for Visible and Near-Infrared Wavelengths. Remote Sens. 2009, 1, 697-730.en_GB
dc.identifier.citationSusan Kay, John Hedley, Samantha Lavender, and Alex Nimmo-Smith, "Light transfer at the ocean surface modeled using high resolution sea surface realizations," Opt. Express 19, 6493-6504 (2011) http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-19-7-6493en_GB
dc.identifier.citationS Lavender et al., Applying uncertainties to ocean colour data. Metrologia 2012, 49, S17, doi:10.1088/0026-1394/49/2/S17en_GB
dc.identifier.grantnumber363en_GB
dc.identifier.urihttp://hdl.handle.net/10036/3523en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.subjectradiative transfer modellingen_GB
dc.subjectsun glinten_GB
dc.subjectremote sensingen_GB
dc.subjectocean opticsen_GB
dc.subjectsea surface wavesen_GB
dc.subjectocean colouren_GB
dc.subjectsun glitteren_GB
dc.titleRadiative transfer modelling for sun glint correction in marine satellite imageryen_GB
dc.typeThesis or dissertationen_GB
dc.date.available2012-05-04T13:38:28Zen_GB
dc.date.available2013-03-21T10:38:41Z
dc.contributor.advisorHedley, Johnen_GB
dc.contributor.advisorLavender, Samanthaen_GB
dc.contributor.advisorMumby, Peteren_GB
dc.contributor.advisorNimmo-Smith, Alexen_GB
dc.publisher.departmentBiosciencesen_GB
dc.type.degreetitlePhD in Biological Sciencesen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnamePhDen_GB


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