| Title: |
Benchmarking satellite-derived shoreline mapping algorithms |
| Authors: |
K. Vos; K. D. Splinter; J. Palomar-Vázquez; J. E. Pardo-Pascual; J. Almonacid-Caballer; C. Cabezas-Rabadán; E. C. Kras; A. P. Luijendijk; F. Calkoen; L. P. Almeida; D. Pais; A. H. F. Klein; Y. Mao; D. Harris; B. Castelle; D. Buscombe; S. Vitousek |
| Source: |
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-17 (2023) |
| Publisher Information: |
Nature Portfolio, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Geology; LCC:Environmental sciences |
| Subject Terms: |
Geology; QE1-996.5; Environmental sciences; GE1-350 |
| Description: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2662-4435 |
| Relation: |
https://doaj.org/toc/2662-4435 |
| DOI: |
10.1038/s43247-023-01001-2 |
| Access URL: |
https://doaj.org/article/59cdcc7a620c4a4db0ce2a5e753bce38 |
| Accession Number: |
edsdoj.59cdcc7a620c4a4db0ce2a5e753bce38 |
| Database: |
Directory of Open Access Journals |