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    Assessing Reef island sensitivity based on LiDAR-derived morphometric indicators

    Access Status
    In process
    Authors
    Bonesso, J.L.
    Cuttler, M.V.W.
    Browne, Nicola
    Hacker, J.
    O'Leary, Mick
    Date
    2020
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Bonesso, J.L. and Cuttler, M.V.W. and Browne, N. and Hacker, J. and O'Leary, M. 2020. Assessing Reef island sensitivity based on LiDAR-derived morphometric indicators. Remote Sensing. 12 (18): ARTN 3033.
    Source Title
    Remote Sensing
    DOI
    10.3390/RS12183033
    Faculty
    Faculty of Science and Engineering
    Faculty of Science and Engineering
    School
    School of Molecular and Life Sciences (MLS)
    School of Molecular and Life Sciences (MLS)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DE180100391
    URI
    http://hdl.handle.net/20.500.11937/90255
    Collection
    • Curtin Research Publications
    Abstract

    Reef islands are some of the most highly sensitive landforms to the impacts of future environmental change. Previous assessments of island morphodynamics primarily relied on historical aerial and satellite imagery. These approaches limit analysis to two-dimensional parameters, with no ability to assess long-term changes to island volume or elevation. Here, we use high-resolution airborne LiDAR data to assess three-dimensional reef island features for 22 islands along the north-western coast of Australia. Our primary objective was to utilize two regional LiDAR datasets to identify characteristics indicative of island sensitivity and future vulnerability. Results show reef platform area to be an accurate predictor of island area and volume suggesting larger island volumes may reflect (1) increased carbonate production and supply from the reef platform and/or (2) enhanced shoreline protection by larger reef platforms. Locations of foredune scarping (an erosional signature) and island orientations were aligned to the regional wind and wave climate. Reef island characteristics (island area, volume, elevation, scarping, and platform area) were used to rank islands according to sensitivity, using a new Island Sensitivity Characteristics Index (ISCi) where low ISCi indicates stable islands (large areas and volumes, high elevations, and fewer scarped areas) and high ISCi indicates unstable islands (small areas and volumes, low elevations, and more scarped areas). Comparison of two LiDAR surveys from 2016 and 2018 validates the use of 3D morphometrics as important (direct) measurements of island landform change, and can complement the use of 2D parameters (e.g., area) moving forward. Results demonstrate that ongoing use of airborne LiDAR and other 3D technology for monitoring coral reef islands at regional scales will enable more accurate quantification of their sensitivity to future impacts of global environmental change.

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