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    Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12348/2245

    Choosing the appropriate spatial resolution for monitoring coral bleaching events using remote sensing

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    Abstract
    • Bleached corals provide a strong optical signal that suggest that remote sensing investigations of major bleaching events are feasible using airborne or satellite sensors. However, patchy coral cover, varying intensities of bleaching, and water depths are likely to limit the application of remoter sensing techniques in monitoring and mapping coral bleaching. Today, satellite multi-spectral sensors routinely provide images of reefs from 4 m (Ikonos) to 30 m resolution (Landsat); however, the adequacy of these sensors for monitoring and mapping bleaching events remains unclear. To clarify these issues, scanned aerial photographs acquired during the 1998 bleaching event over the Great Barrier Reef (Australia) were analyzed at various spatial resolutions, from 10 cm to 5 m. The authors found that the accuracy of mapping bleaching is highly sensitive to spatial resolution. Highest accuracy was obtained at 10 cm resolution for detection of totally bleached colonies. At 1 m resolution, as much as 50% of the 10-cm resolution signal is lost, though the spatial patterns remain correctly described. Partially bleached (pale) corals are difficult to detect even in aerial surveys, leading to an underestimation of overall bleaching levels (total and partial bleaching) in aerial photos compared to in-situ surveys. If data volume and processing time are limiting factors, local variance analysis suggests that the optimal resolution necessary to capture spatial patterns of bleaching is in the range 40-80 cm.
    • External link to download this item: https://doi.org/10.1007%2Fs00338-002-0233-x
    Collections
    • Miscellaneous themes [786]
    Date
    • 2002
    Author
    • Andrefouet, S.
    • Berkelmans, R.
    • Odriozola, L.
    • Done, T.
    • Oliver, J.
    • Muller-Karger, F.
    AGROVOC Keywords
    • coral reefs; geographical information systems
    Type
    • Journal Article
    Publisher
    • Springer Verlag
    Metadata
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