Determining the aerosol type over case II waters through aerosol component concentration iteration algorithm

Uncertainties from aerosol type greatly affects the accuracy in water color remote sensing for case II waters. An algorithm, depicted as ACCIA, dedicated to define the aerosol types over case II waters is developed by iterating the four critical component concentrations in an aerosol type: dust like, water soluble, oceanic and soot. A software function module is also developed in Visual Studio 2010 by joint programming with Visual Basic and Visual C++ languages. In situ measured reflected spectrum of Lake Taihu water affected by algae bloom and remotely sensed data by HJ-1B CCD1 are utilized to validate this algorithm. Both spectral curves derived from remotely sensed HJ-1B CCD1 data and Normalized Differential Vegetation Index (NDVI) are deployed as assessment factors to evaluate the application of this algorithm in the atmospheric correction process. The results show that atmospheric correction using aerosol type defined by this algorithm improves the image quality of HJ-1B CCD1 more obviously than that using standard aerosol types.