Resumen
The slope of the beach face is a critical parameter for coastal scientists and engineers studying sandy coastlines. However, despite its importance for coastal applications (engineering formulations, coastal flood modelling, swimming safety), it remains extremely difficult to obtain reliable estimates of the beachface slope over large spatial scales (hundreds to thousands of km of coastline). This presentation describes a new method to estimate the beach-face slope exclusively from space-borne observations: shoreline positions derived from publicly available optical imaging satellites and tide heights from satellite altimetry. This new technique is first validated against field measurements and then applied across hundreds of beaches in eastern Australia and California, USA (data available at http://coastsat.wrl.unsw.edu.au/).Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/U9zMbFX4gPk
Referencias
Vos, K., Harley, M.D., Splinter, K.D., Walker, A. and Turner, I.L. (2020), Beach Slopes From Satellite‐Derived Shorelines. Geophys. Res. Lett., 47: e2020GL088365. doi:10.1029/2020GL088365
Vos K., Harley M.D., Splinter K.D., Simmons J.A., Turner I.L. (2019). Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery. Coastal Engineering. 150, 160–174. https://doi.org/10.1016/j.coastaleng.2019.04.004
Vos K., Splinter K.D., Harley M.D., Simmons J.A., Turner I.L. (2019). CoastSat: a Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery. Environmental Modelling and Software. 122, 104528. https://doi.org/10.1016/j.envsoft.2019.104528
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