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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 3
Atmos. Meas. Tech., 8, 1593–1604, 2015
https://doi.org/10.5194/amt-8-1593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 1593–1604, 2015
https://doi.org/10.5194/amt-8-1593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Mar 2015

Research article | 27 Mar 2015

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

C. Bassani1, C. Manzo1, F. Braga2, M. Bresciani3, C. Giardino3, and L. Alberotanza2 C. Bassani et al.
  • 1Institute for Atmospheric Pollution Research (IIA), Italian National Research Council (CNR), Via Research Area of Rome 1, Via Salaria Km 29 300, 00016 Monterotondo Scalo, Rome, Italy
  • 2Institute of Marine Sciences (ISMAR), Italian National Research Council (CNR), Arsenale Tesa 104, Castello 2737/F, 30122 Venice, Italy
  • 3Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council (CNR), Via Bassini 13, 20133 Milan, Italy

Abstract. Hyperspectral imaging provides quantitative remote sensing of ocean colour by the high spectral resolution of the water features. The HICO™ (Hyperspectral Imager for the Coastal Ocean) is suitable for coastal studies and monitoring. The accurate retrieval of hyperspectral water-leaving reflectance from HICO™ data is still a challenge. The aim of this work is to retrieve the water-leaving reflectance from HICO™ data with a physically based algorithm, using the local microphysical properties of the aerosol in order to overcome the limitations of the standard aerosol types commonly used in atmospheric correction processing. The water-leaving reflectance was obtained using the HICO@CRI (HICO ATmospherically Corrected Reflectance Imagery) atmospheric correction algorithm by adapting the vector version of the Second Simulation of 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 northern Mediterranean basin, using the microphysical properties measured by the Acqua Alta Oceanographic Tower (AAOT) AERONET site. The HICO@CRI results obtained with AERONET products were validated with in situ measurements showing an accuracy expressed by r2 = 0.98. Additional runs of HICO@CRI on the six images were performed using maritime, continental and urban standard aerosol types to perform the accuracy assessment when standard aerosol types implemented in 6SV are used. The results highlight that the microphysical properties of the aerosol improve the accuracy of the atmospheric correction compared to standard aerosol types. The normalized root mean square (NRMSE) and the similar spectral value (SSV) of the water-leaving reflectance show reduced accuracy in atmospheric correction results when there is an increase in aerosol loading. This is mainly when the standard aerosol type used is characterized with different optical properties compared to the local aerosol. The results suggest that if a water quality analysis is needed the microphysical properties of the aerosol need to be taken into consideration in the atmospheric correction of hyperspectral data over coastal environments, because aerosols influence the accuracy of the retrieved water-leaving reflectance.

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