Benchmarking satellite-derived shoreline mapping algorithms
K. Vos (University of New South Wales)
Kristen D. Splinter (University of New South Wales)
J. Palomar-Vázquez (Universitat Politécnica de Valencia)
J. E. Pardo-Pascual (Universitat Politécnica de Valencia)
J. Almonacid-Caballer (Universitat Politécnica de Valencia)
C. Cabezas-Rabadán (Universitat Politécnica de Valencia, Université de Bordeaux)
E. C. Kras (Deltares)
Arjen Luijendijk (Deltares, TU Delft - Coastal Engineering)
F.R. Calkoen (TU Delft - Coastal Engineering, Deltares)
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Abstract
Satellite remote sensing is becoming a widely used monitoring technique in coastal sciences. Yet, no benchmarking studies exist that compare the performance of popular satellite-derived shoreline mapping algorithms against standardized sets of inputs and validation data. Here we present a new benchmarking framework to evaluate the accuracy of shoreline change observations extracted from publicly available satellite imagery (Landsat and Sentinel-2). Accuracy and precision of five established shoreline mapping algorithms are evaluated at four sandy beaches with varying geologic and oceanographic conditions. Comparisons against long-term in situ beach surveys reveal that all algorithms provide horizontal accuracy on the order of 10 m at microtidal sites. However, accuracy deteriorates as the tidal range increases, to more than 20 m for a high-energy macrotidal beach (Truc Vert, France) with complex foreshore morphology. The goal of this open-source, collaborative benchmarking framework is to identify areas of improvement for present algorithms, while providing a stepping stone for testing future developments, and ensuring reproducibility of methods across various research groups and applications.
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