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 …

The swash zone largely influences nearshore hydrodynamics and morphodynamics through
dissipating or reflecting wave energy and controlling whether sediment will be stored on the …

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 …

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 …

Abstract Changes in coastal morphology have broad consequences for the sustainability of
coastal communities, structures and ecosystems. Although coasts are monitored locally in …

Accurate, robust and consistent coastline mapping is critical for characterising and
managing coastal change. Satellite earth observation provides an unparalleled source of …

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 …

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 …

Satellite remote sensing is becoming a widely used monitoring technique in coastal
sciences. Yet, no benchmarking studies exist that compare the performance of popular …

Extratropical cyclones (ETCs) are the primary driver of large-scale episodic beach erosion
along coastlines in temperate regions. However, key drivers of the magnitude and regional …