A review of machine learning applications to coastal sediment transport and morphodynamics

EB Goldstein, G Coco, NG Plant - Earth-science reviews, 2019 - Elsevier
A range of computer science methods termed machine learning (ML) enables the extraction
of insight and quantitative relationships from multidimensional datasets. Here, we review the …

[HTML][HTML] A review of practical models of sand transport in the swash zone

W Chen, JJ Van Der Werf, S Hulscher - Earth-Science Reviews, 2023 - Elsevier
The swash zone largely influences nearshore hydrodynamics and morphodynamics through
dissipating or reflecting wave energy and controlling whether sediment will be stored on the …

[HTML][HTML] CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery

K Vos, KD Splinter, MD Harley, JA Simmons… - … Modelling & Software, 2019 - Elsevier
CoastSat is an open-source software toolkit written in Python that enables the user to obtain
time-series of shoreline position at any sandy coastline worldwide from 30+ years (and …

The state of the world's beaches

A Luijendijk, G Hagenaars, R Ranasinghe, F Baart… - Scientific reports, 2018 - nature.com
Coastal zones constitute one of the most heavily populated and developed land zones in the
world. Despite the utility and economic benefits that coasts provide, there is no reliable …

[HTML][HTML] Global long-term observations of coastal erosion and accretion

L Mentaschi, MI Vousdoukas, JF Pekel… - Scientific reports, 2018 - nature.com
Abstract Changes in coastal morphology have broad consequences for the sustainability of
coastal communities, structures and ecosystems. Although coasts are monitored locally in …

[HTML][HTML] Map** Australia's dynamic coastline at mean sea level using three decades of Landsat imagery

R Bishop-Taylor, R Nanson, S Sagar… - Remote Sensing of …, 2021 - Elsevier
Accurate, robust and consistent coastline map** is critical for characterising and
managing coastal change. Satellite earth observation provides an unparalleled source of …

Benchmarking satellite-derived shoreline map** algorithms

K Vos, KD Splinter, J Palomar-Vázquez… - … Earth & Environment, 2023 - nature.com
Satellite remote sensing is becoming a widely used monitoring technique in coastal
sciences. Yet, no benchmarking studies exist that compare the performance of popular …

Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery

K Vos, MD Harley, KD Splinter, JA Simmons… - Coastal …, 2019 - Elsevier
The ability to repeatedly observe and quantify the changing position of the shoreline is key
to present-day coastal management and future coastal planning. This study evaluates the …

UAVs for coastal surveying

IL Turner, MD Harley, CD Drummond - Coastal Engineering, 2016 - Elsevier
Abstract UAVs (Unmanned Aerial Vehicles or “drones”) for routine survey applications at the
coast have come of age, and are no longer 'the latest thing'more suited to the specialist …

Influence of El Niño on the variability of global shoreline position

R Almar, J Boucharel, M Graffin, GO Abessolo… - Nature …, 2023 - nature.com
Coastal zones are fragile and complex dynamical systems that are increasingly under threat
from the combined effects of anthropogenic pressure and climate change. Using global …