Beach-face slope dataset for Australia

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

doi:10.5194/essd-14-1345-2022

Cited by 6 publications

(2 citation statements)

References 38 publications

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“…More advanced foreshore slope data are becoming available all over the world (e.g. from Almar et al, 2021b;Athanasiou et al 2019;Vos et al, 2022), but still with substantial discrepancies relative to ground truth in the surf zone. In Eq.…”

Section: Longshore Wave-induced Sand Transportmentioning

confidence: 99%

WITHDRAWN: The contribution of diminishing river sand loads to beach erosion worldwide

Graffin

Regard

Almar

et al. 2023

Preprint

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The erosion of sandy beaches can have a profound impact on human activities and ecosystems, especially on developed coasts. The scientific community has, to date, primarily focused on the potential impact of sea-level rise on sandy beaches. While being abundantly recognized at local to regional scales in numerous studies over the last two decades, the contribution of diminishing fluvial sediment supply to sandy beach erosion at the global scale is still to be investigated. Here, we present the first global sand pathway model from land to sea. We show that recent sandy beach evolution trends worldwide are strongly controlled by fluvial sand input to the ocean, and that there is a global convergence of sand at the Equator due to wave-induced longshore transport. The reduction of sand supplies to beaches caused by river-basin changes such as dam constriction has a profound effect on beach stability. Our analysis demonstrates the massive impact of the thousands of river dams on beach erosion worldwide.

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Section: Longshore Wave-induced Sand Transportmentioning

confidence: 99%

WITHDRAWN: The contribution of diminishing river sand loads to beach erosion worldwide

Graffin

Regard

Almar

et al. 2023

Preprint

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“…The resolution of several tens of meters in global DEMs and bathymetric charts may have an impact on the accuracy of the derived slopes. Specifically, based on the satellite imagery-based on shoreline positions and frequency domain analysis, Vos et al (2020Vos et al ( ), (2022 proposed a novel method to estimate coastal slope with a very high accuracy and obtained regional coastal slope dataset at California, USA and Australia.…”

Section: Introductionmentioning

confidence: 99%

Estimating coastal slope of sandy beach from ICESat-2: a case study in Texas

Wang²,

Xu³

et al. 2023

Environ. Res. Lett.

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Coastal slope is a fundamental land characteristic that can influence the hydrodynamic and morphological processes, which is the essential parameter to calculate the wave setup and wave runup for further estimating extreme coastal water levels. Slope information of coastal zones also plays a key role in estimating the coastline erosion and evaluating the coastal vulnerability under sea level rise. However, accurate estimates of coastal slopes are currently limited, especially over sparsely populated and remote areas. The recent ICESat-2 photon-counting lidar provides unprecedented along-track dense and accurate height measurements in coastal zones. This study aims to demonstrate the potential of ICESat-2 measurements to estimate coastal slope of sandy beach at a large scale, and the proposed method is tested in Texas, USA. The validation with local airborne lidar data (with an average slope of 0.023 in Texas) indicates that, the ICESat-2 derived coastal slopes (0.026) have much better accuracy than current large-scale coastal slopes (0.0032) derived from SRTM and MERIT DEMs. With globally covered ICESat-2 datasets, this method can be expanded to estimate coastal slopes even at a global scale.

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