Atmospheric correction of directional polarized ocean color sensors
Xiaofeng Yang, Xingfa Gu, Liangfu Chen, Haibo Zhang
Abstract
Xiaofeng Yang, Xingfa Gu, Liangfu Chen, Haibo Zhang
Abstract
An atmospheric correction algorithm for ocean color data with multiple viewing and polarization information is proposed. The correction is based on using the directional and polarized data for 865 nm and 665 nm to estimate the properties of aerosols over the ocean. The aerosol models used in atmospheric correction consist of bimodal size distributions. And, a best-fit optical thickness is grossly determined using the generated look up table of the upwelling radiation. Moreover, Validation of the improved algorithm with the standard POLDER atmospheric correction algorithm is given.
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An atmospheric correction algorithm for ocean color data with multiple viewing and polarization information is proposed. The correction is based on using the directional and polarized data for 865 nm and 665 nm to estimate the properties of aerosols over the ocean. The aerosol models used in atmospheric correction consist of bimodal size distributions. And, a best-fit optical thickness is grossly determined using the generated look up table of the upwelling radiation. Moreover, Validation of the improved algorithm with the standard POLDER atmospheric correction algorithm is given.
Key concepts: Atmospheric correction, Atmospheric model, Remote sensing, Polarization (electrochemistry), Table (database), Atmospheric optics, Aerosol, Environmental science