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Improved near-infrared ocean reflectance correction algorithm for satellite ocean color data processing.

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    |October 17, 2014
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    Summary
    This summary is machine-generated.

    A new BMW algorithm improves atmospheric correction for satellite ocean color data in coastal waters. It enhances near-infrared (NIR) reflectance correction, yielding more accurate results compared to existing methods and in situ data.

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    Area of Science:

    • Remote Sensing
    • Oceanography
    • Atmospheric Science

    Background:

    • Satellite ocean color data processing requires accurate atmospheric correction, especially in complex coastal and inland waters.
    • Existing near-infrared (NIR) reflectance correction algorithms have limitations.
    • Shortwave infrared (SWIR)-based methods offer an alternative but may not always be optimal.

    Purpose of the Study:

    • To develop and evaluate a novel, combined NIR ocean reflectance correction algorithm (BMW) for improved atmospheric correction.
    • To assess the performance of the BMW algorithm against existing NIR and SWIR-based methods using satellite data.
    • To validate the algorithm's accuracy using in situ measurements.

    Main Methods:

    • A new algorithm, BMW, was developed by combining advantages of three existing NIR ocean reflectance correction algorithms.
    • Normalized water-leaving radiance (nLw(λ)) spectra from BMW were compared with SWIR-based and other NIR algorithms.
    • Case studies utilized data from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors, focusing on turbid waters.

    Main Results:

    • The BMW algorithm produced nLw(λ) spectra most consistent with SWIR-based results among all tested NIR algorithms.
    • Validation against in situ measurements showed reasonable and comparable results to the operational algorithm in less turbid waters.
    • A combined NIR-SWIR approach further improved ocean color products.

    Conclusions:

    • The new BMW NIR atmospheric correction algorithm offers improved accuracy for satellite ocean color data processing.
    • It demonstrates high consistency with SWIR methods and good performance in various water conditions.
    • The algorithm is suitable for implementation in global operational satellite ocean color data processing systems.