UNDERSTANDING COASTAL CHANGE FROM NOISY SATELLITE-DERIVED SHORELINE DATASETS: INFLUENCE OF TIDE AND RUNUP CORRECTION AND SPATIAL AVERAGING
Résumé
Free-of-charge publicly available optical satellite imagery can now be used to provide short-term to multi-decadal shoreline satellite-derived shoreline (SDS) data, with errors typically under 10 m on microtidal beaches. However, SDS accuracy dramatically worsens at high-energy and/or meso to macrotidal lowgradient beaches, which challenges a robust assessment of shoreline variability and trends. In this contribution we demonstrate that, on such beaches, water level (tide + runup) correction and/or an adapted space-averaging of uncorrected (noisy) SDS dataset can substantially reduce uncertainties and thus allow addressing the timeand space variability of shoreline change and their primary drivers.
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