| Session Description |
Ocean color and aerosol remote sensing provides vital data record for understanding ocean biogeochemistry, air-sea interaction, air quality, radiative forcing, etc. A number of atmosphere correction algorithms have been developed for traditional ocean color sensors (such as MODIS, SeaWiFS, etc) to correct aerosol effects and anchor open ocean water properties. However, complex scenes involving absorbing aerosols and/or turbid waters still challenge the ocean color and aerosol remote sensing communities. Benefiting from the development of advanced technologies over the last decade such as multi-angle polarimetry, high spectral resolution lidar and spectrometers, etc., new algorithms have been under development to fully utilize the new types of measurements to constrain aerosol and ocean color retrievals. This session will focus on recent advances in remote sensing algorithm development, including aerosols and hydrosol light scattering modeling, radiative transfer computation, and inverse modeling that lead to improved characterization of aerosol and/or ocean color. |
