1. R I T Rochester Institute of Technology Simultaneous Retrieval of Atmospheric Parameters and Water Constituent Concentrations

2. R I T Rochester Institute of Technology Approaches Approaches Atmospheric compensation approaches currently a separate pre-processing step – Model-based Empirical compensation (using HYDROLIGHT) – Model-base Atmospheric Models (TAFKAA) Similar approach implemented and tested by Chomko, Gordon, Maritorena, Siegel (2003) – Emphasized oceanic conditions » Assumption of no water upwelling for longer wavelengths – Garver-Siegel-Maritorena Model of IOPs from SeaBAM data set » Semi-analytic model » Optimized for CHL Data < 10 [mg/m^3] » Lack of particulate backscattering data

3. R I T Rochester Institute of Technology Sensor reaching reflectance Atmospheric Effects Water Effects MODTRAN( visibility, aerosol type ) HYDROLIGHT( CHL, TSS, CDOM )

4. R I T Rochester Institute of Technology Suspended Sediment HYDROLIGHT simulations

5. LUTs as a function of Aerosol Types … Types Number Density [TSS] [CDOM] [CHL]

6. R I T Rochester Institute of Technology Requirements IOP measurements in the NIR – Appropriately characterize suspended sediments Accurate Scattering Phase Functions – Laboratory measurements – Modeling through scattering codes

7. R I T Rochester Institute of Technology Plans for years 4 and 5 Complete Photon Mapping Model and test against a verification scene Implement simultaneous retrieval of atmospheric parameters and constituent concentrations – MODTRAN – HYDROLIGHT

8. R I T Rochester Institute of Technology Target Publications Remote Sensing of Environment Applied Optics Journal of Great Lakes Research / Journal of Coastal Research Journal of Geophysical Research