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Hyperspectral imaging provides quantitative remote sensing of ocean colour bythe high spectral resolution of the water features. TheHICO™ (Hyperspectral Imager for the CoastalOcean) is suitable for coastal studies and monitoring. The accurate retrievalof hyperspectral water-leaving reflectance fromHICO™ data is still a challenge. The aim ofthis work is to retrieve the water-leaving reflectance fromHICO™ data with a physically based algorithm,using the local microphysical properties of the aerosol in order to overcomethe limitations of the standard aerosol types commonly used in atmosphericcorrection processing. The water-leaving reflectance was obtained using theHICO@CRI (HICO ATmospherically Corrected Reflectance Imagery) atmosphericcorrection algorithm by adapting the vector version of the Second Simulationof a Satellite Signal in the Solar Spectrum (6SV) radiative transfer code.The HICO@CRI algorithm was applied on to six HICO™ images acquired in the northernMediterranean basin, using the microphysical properties measured by theAcqua Alta Oceanographic Tower (AAOT) AERONET site. The HICO@CRI resultsobtained with AERONET products were validated with in situ measurementsshowing an accuracy expressed by <i>r</i><sup>2</sup> = 0.98. Additional runs of HICO@CRI onthe six images were performed using maritime, continental and urban standardaerosol types to perform the accuracy assessment when standard aerosol typesimplemented in 6SV are used. The results highlight that the microphysicalproperties of the aerosol improve the accuracy of the atmospheric correctioncompared to standard aerosol types. The normalized root mean square (NRMSE)and the similar spectral value (SSV) of the water-leaving reflectance showreduced accuracy in atmospheric correction results when there is an increasein aerosol loading. This is mainly when the standard aerosol type used ischaracterized with different optical properties compared to the localaerosol. The results suggest that if a water quality analysis is needed themicrophysical properties of the aerosol need to be taken into considerationin the atmospheric correction of hyperspectral data over coastalenvironments, because aerosols influence the accuracy of the retrievedwater-leaving reflectance

The impact of the microphysical properties of aerosol on the atmospheric correction of hyperspectral data in coastal waters