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Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics-based data processing

Ohlendorf, S., Müller, A., Heege, T., Cerdeira-Estrada, S. and Kobryn, H.T. (2011) Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics-based data processing. In: Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 21 - 22 September, Prague.

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    Link to Published Version: http://dx.doi.org/10.1117/12.898652
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    Abstract

    Multispectral satellite data (WordView-2, IKONOS, QuickBird) are used to map bathymetry and spectral sea floor classes in a range of coastal areas. The standardized physics-based data processing integrates MODIS satellite data for the radiometric intercalibration and estimates of turbidity. This process includes corrections for sunglitter, the adjacency and the atmospheric effect. The water depth is calculated iteratively in combination with the spectral unmixing of the respective bottom reflectance on base of the subsurface reflectance. The final step of the processing classifies the bottom reflectance due to the spectral signature of different bottom types and biota using a specific cluster and classification approach. The comparison with in situ data at different sites worldwide proves the approach, but also emphasizes the necessity of radiometric well calibrated satellite data.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Environmental Science
    Publisher: S P I E - International Society for Optical Engineering
    Copyright: © 2011 SPIE
    Notes: Appears in : Proceedings of SPIE - The International Society for Optical Engineering Volume 8175, 2011, Article number 1 p
    URI: http://researchrepository.murdoch.edu.au/id/eprint/6081
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