Bernard, S. University of Cape Town, bernard@physci.uct.ac.za

 
INTENSIVELY LEARNING OPTICAL OCEANOGRAPHY: MULTISPECTRAL APPLICATION OF THE ROELSER-PERRY INVERSE REFLECTANCE MODEL
 
The Roesler-Perry (RP) inverse reflectance model is employed to derive inherent optical properties (IOPs) from multi-spectral reflectance data, produced from both radiometric measurements and Hydrolight radiative transfer modelling. Objectives are twofold: a preliminary assessment of the performance of the RP model as a phytoplankton biomass algorithm for ocean colour sensors, and to establish the validity of radiative transfer (RT) modelling for the purposes of validating ocean colour biomass algorithms. Using data gathered from Puget Sound in August 1998, good comparison can be made between measured and modelled reflectance data, clearly indicating that Hydrolight can closely simulate measured reflectance data if model runs are based upon representative IOP data. Application of the RP model to measured and simulated reflectance data, representative of a variety of phytoplankton assemblages, resulted in an agreement of within 30% between measured and modelled phytoplankton absorption and chlorophyll a data in the upper optical depth. In comparison the current empirical SeaWiFS algorithm overestimated chlorophyll a concentrations by over 100%, aptly demonstrating the applicability of the RP model in remotely determining phytoplankton absorption and pigment concentrations from a variety of water types
 
Day: Thursday, Feb. 4
Time: Poster
Location: Sweeney Center
 
Code: SS53TH1661S