Beach-face slope dataset for Australia

Vos, Kilian; Deng, Wen; Harley, Mitchell D.; Turner, Ian L.; Splinter, Kristen D.

doi:10.5194/essd-2021-388

Cited by 2 publications

References 26 publications

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Comprehensive Monitoring and Assessment of South African Shoreline Dynamics Using Satellite Imagery

Theron,

Theron

2024

Preprint

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South Africa’s beaches lack sufficient monitoring, hindering the holistic understanding of shoreline dynamics under increasing environmental and anthropogenic pressures. This study addresses this critical knowledge gap by using an enhanced, semi-automated CoastSat algorithm to create the first comprehensive shoreline database for South Africa, spanning nearly all sandy coastal areas from 1984 to 2023 (an average of 750 data points per transect, every 100m alongshore). The satellite-derived data demonstrated good accuracy (R = 0.95) against surveyed data, with an overall root-mean-square-error (RMSE) of 8.5m to 13.7m, and bias reduced by up to 79% when wave runup was additionally accounted for. Despite relatively inaccurate beach-face slope estimations at some sites (R = 0.45), the satellite-derived shoreline positions proved to be accurate. Assessments of all South Africa’s sandy coastal areas revealed that the west and south coasts showed net shoreline movements indicative of a 3- to 7-year period of medium-term dynamic stability, while the east coast exhibited ongoing progressive changes. Between 2000 to 2023, 98% of beaches on the west and south coasts experienced net movements of less than 40 meters, while the east coast experienced nearly double that amount. Year-on-year shoreline changes (m/year) were similar in magnitude across all three regions, with both accretion and erosion having a similar occurrence at mild and extreme rates. This first-of-its-kind resource for South Africa will guide informed, effective and sustainable coastal management strategies and engineering design.

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Comprehensive Monitoring and Assessment of South African Shoreline Dynamics Using Satellite Imagery

Theron,

Theron

2024

Preprint

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Beach-face slope dataset for Australia

Vos

Deng

Harley

et al. 2022

Earth Syst. Sci. Data

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Abstract. Sandy beaches are unique environments composed of unconsolidated sediments that are constantly reshaped by the action of waves, tides, currents, and winds. The most seaward region of the dry beach, referred to as the beach face, is the primary interface between land and ocean and is of fundamental importance to coastal processes, including the dissipation and reflection of wave energy at the coast and the exchange of sediment between the land and sea. The slope of the beach face is a critical parameter in coastal geomorphology and coastal engineering, as it is needed to calculate the total elevation and excursion of wave run-up at the shoreline. However, datasets of the beach-face slopes along most of the world's coastlines remain unavailable. This study presents a new dataset of beach-face slopes for the Australian coastline derived from a novel remote sensing technique. The dataset covers 13 200 km of sandy coast and provides an estimate of the beach-face slope every 100 m alongshore accompanied by an easy-to-apply measure of the confidence of each slope estimate. The dataset offers a unique view of large-scale spatial variability in the beach-face slope and addresses the growing need for this information to predict coastal hazards around Australia. The beach-face slope dataset and relevant metadata are available at https://doi.org/10.5281/zenodo.5606216 (Vos et al., 2021).

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Beach-face slope dataset for Australia

Cited by 2 publications

References 26 publications

Comprehensive Monitoring and Assessment of South African Shoreline Dynamics Using Satellite Imagery

Comprehensive Monitoring and Assessment of South African Shoreline Dynamics Using Satellite Imagery

Beach-face slope dataset for Australia

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