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    Bottom Reflectance in Ocean Color Satellite Remote Sensing for Coral Reef Environments

    238546_238546.pdf (5.085Mb)
    Access Status
    Open access
    Authors
    Reichstetter, M.
    Fearns, Peter
    Weeks, S.
    McKinna, Lachlan
    Roelfsema, C.
    Furnas, M.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Reichstetter, M. and Fearns, P. and Weeks, S. and McKinna, L. and Roelfsema, C. and Furnas, M. 2015. Bottom Reflectance in Ocean Color Satellite Remote Sensing for Coral Reef Environments. Remote Sensing. 7 (12): pp. 16756-16777.
    Source Title
    REMOTE SENSING
    DOI
    10.3390/rs71215852
    ISSN
    2072-4292
    School
    Department of Physics and Astronomy
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/4.0/

    URI
    http://hdl.handle.net/20.500.11937/16318
    Collection
    • Curtin Research Publications
    Abstract

    Most ocean color algorithms are designed for optically deep waters, where the seafloor has little or no effect on remote sensing reflectance. This can lead to inaccurate retrievals of inherent optical properties (IOPs) in optically shallow water environments. Here, we investigate in situ hyperspectral bottom reflectance signatures and their separability for coral reef waters, when observed at the spectral resolutions of MODIS and SeaWiFS sensors. We use radiative transfer modeling to calculate the effects of bottom reflectance on the remote sensing reflectance signal, and assess detectability and discrimination of common coral reef bottom classes by clustering modeled remote sensing reflectance signals. We assess 8280 scenarios, including four IOPs, 23 depths and 45 bottom classes at MODIS and SeaWiFS bands. Our results show: (i) no significant contamination (Rrscorr < 0.0005) of bottom reflectance on the spectrally-averaged remote sensing reflectance signal at depths >17 m for MODIS and >19 m for SeaWiFS for the brightest spectral reflectance substrate (light sand) in clear reef waters; and (ii) bottom cover classes can be combined into two distinct groups, “light” and “dark”, based on the modeled surface reflectance signals. This study establishes that it is possible to efficiently improve parameterization of bottom reflectance and water-column IOP retrievals in shallow water ocean color models for coral reef environments.

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