Physics-Based Modeling of Coastal Waters Donald Z. Taylor RIT College of Imaging Science.

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Presentation transcript:

Physics-Based Modeling of Coastal Waters Donald Z. Taylor RIT College of Imaging Science

RIT Graduate Seminar 2 Agenda 6Motivation 6Background 6Research Areas

RIT Graduate Seminar 3 Motivation 6Water Quality !Constituents !Concentration of constituents 6Characterize water from a remotely sensed signal

RIT Graduate Seminar 4 Clarity of Water 6Secchi Disc

RIT Graduate Seminar 5 Water Color 6Forel-Ule color scale !Used water color to define water masses !Compares samples to standards !Nonquantitative 6Jerlov !Optical classification using radiometric measurements 6Recent !Spectra of individual constituents

RIT Graduate Seminar 6 Ocean Water Classification 6Morel and Prieur (1977) !Case 1: Phytoplankton n ~90% world’s water surface !Case 2: SM and CDOM n Coastal areas –Recreation –Shipping –Industry-fisheries

RIT Graduate Seminar 7 Water Classification 6Phytoplankton !Chlorophyll-a 6Suspended Material (SM) !Inorganic n Sand, mud, clay, ash 6Yellow substances !CDOM, Gelbstoff n Decomposition of plankton and other organisms n Humic and fulvic acids

RIT Graduate Seminar 8 Remote Sensing 6Airborne imaging systems !MISI n Modular Imaging Spectrometer Instrument n ~70 bands !AVIRIS n Airborne Visible and Infrared Imaging Spectrometer –~225 bands ( nm)

RIT Graduate Seminar 9 Satellites 6CZCS (‘78-’86) !6 bands 6SeaWiFS (‘97) !8 bands 6Hyperion (‘00) !220 bands n Contiguous – nm

RIT Graduate Seminar 10 Radiometric Contributions In Coastal Waters

RIT Graduate Seminar 11 Water Modeling 6Hydromod !Combines MODTRAN and HYDROLIGHT n Simulation of water quality parameters n Accuracy depends on user input n Bottom effects 6Deep-water algorithms !Extracting chlorophyll-a concentrations !Some success in determining SM and CDOM !Must be adjusted for use in-shore

RIT Graduate Seminar 12 Research Areas 6Extend deep-water algorithms !Atmospheric correction n Coastal aerosol characterization !Bottom characterization !Bubbles n Varying sizes –Highly scattering !Optical interactions n Problematic for unmixing

RIT Graduate Seminar 13 Research Areas 6Identify possible constituents (IOPs) 6Create library !Spectral signatures of water constituents !Adjust for regional variations 6Stepwise unmixing !Assumption of linearity !Correlation of variables an issue

RIT Graduate Seminar 14 Research Areas 6Hydromod LUT !Create spectral curves n Model varying concentrations of CHL, CDOM, & SM !Match signal with curves of known concentrations !Long run time to generate !May need to include regional variations to be useful

RIT Graduate Seminar 15 Thank You 6Questions?

RIT Graduate Seminar 16