Benchmarking satellite-derived shoreline mapping algorithms
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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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Benchmarking satellite-derived shoreline mapping algorithms |
| Series title | Communications Earth & Environment |
| DOI | 10.1038/s43247-023-01001-2 |
| Volume | 4 |
| Year Published | 2023 |
| Language | English |
| Publisher | Nature |
| Contributing office(s) | Pacific Coastal and Marine Science Center |
| Description | 345, 17 p. |
| Google Analytic Metrics | Metrics page |