Development of a Practical Atmospheric Correction Algorithm for Inland and Nearshore Coastal Waters

A practical Atmospheric Correction algorithm for inLand and Nearshore Coastal waters (ACLANC) is proposed in this study. The ACLANC algorithm uses interpolated aerosol optical depth (AOD) products (AODᵢₙₜₑᵣₚ) from nearby land surfaces and simulates the corresponding aerosol reflectance spectrum using a combination of the continental model in the satellite signal in the solar spectrum-vector (6SV) radiative transfer code and an approximate aerosol model (r85f20) in the Sea-viewing Wide Field-of view Sensor (SeaWiFS) Data Analysis System (SeaDAS). Validations with worldwidein situmeasurements show that the ACLANC-derived remote-sensing reflectance (Rᵣₛ) for nine Moderate Resolution Imaging Spectroradiometer (MODIS) bands agreed well with thein situdatasets, where the meanR²was 0.77 ± 0.09 and the mean unbiased percent difference was 28.7% ± 9.8%. ACLANC outperformed the existing atmospheric correction algorithms in not only the accuracy of theRᵣₛretrievals but also data coverage. Vicarious calibration over the ACLANC algorithm showed minor improvement in the derivedRᵣₛproducts. Error budget analysis revealed that the uncertainties in AODinterprepresent >50% of the errors for ACLANC and that this proportion increases with decreasing AOD. Further efforts can also be applied to improve the aerosol models, especially for turbid aerosol environments, where the fixed aerosol model in SeaDAS contributes up to 30% of the error budget. The ACLANC algorithm can potentially be implemented in ocean color missions other than MODIS to obtainRᵣₛwith high accuracy and wide coverage for global inland and nearshore coastal waters.