QUANTIFYING AND CLASSIFYING COASTAL CHANGE IN SCOTLAND USING SATELLITE-DERIVED COASTAL BOUNDARIES
ICCE 2022
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How to Cite

QUANTIFYING AND CLASSIFYING COASTAL CHANGE IN SCOTLAND USING SATELLITE-DERIVED COASTAL BOUNDARIES. (2023). Coastal Engineering Proceedings, 37, management.163. https://doi.org/10.9753/icce.v37.management.163

Abstract

Global sea levels and the frequency and severity of coastal storm events are both predicted to rise with anthropogenic climate change. Coastal storms are often accompanied by intense wave energy producing large waves which lead to impact damage, wave overtopping and flooding of coastal infrastructure Erosion of soft coasts can cause instability and infrastructure damage, and exacerbate flood risk with weakening of natural protective features like dunes. To plan effectively for a changing climate and increased coastal risks, coastal managers require continuous, repeatable datasets on past coastal change to anticipate potential future changes and assess adaptation options.
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References

Rogers, Bithell, Brooks, Spencer (2021): VEdge_Detector: automated coastal vegetation edge detection using a convolutional neural network, International Journal of Remote Sensing, vol. 42 pp. 4085-4835.

Vos, Splinter, Harley, Simmons, Turner (2019): CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery, Environmental Modelling and Software, vol. 122, 104528.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2023 Freya M. E. Muir, Martin D. Hurst, Luke Richardson-Foulger, Alistair F. Rennie