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4 February 2020 An Automatic Procedure for Dune Foot Position Detection: Application to the Dutch Coast
Eleni Diamantidou, Giorgio Santinelli, Alessio Giardino, Joost Stronkhorst, Sierd de Vries
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Abstract

Diamantidou, E.; Santinelli, G.; Giardino, A.; Stronkhorst, J., and de Vries, S., 2020. An automatic procedure for dune foot position detection: Application to the Dutch coast. Journal of Coastal Research, 36(3), 668–675. Coconut Creek (Florida), ISSN 0749-0208.

Coastal indicators are a useful proxy in coastal zone management to describe the status of a physical system and to assess the effectiveness of possible interventions. They can be used as a basis to implement and evaluate coastal erosion policies, as it is done, for example, in The Netherlands. One often used coastal indicator is the position of the dune foot. In the current definition used in The Netherlands to describe the dune foot position, the actual geometry of the profile is, however, not accounted for, but this is simply based on one reference value for the entire coastline. In the present study, an automatic procedure for the detection of the dune foot position is proposed based on the actual shape of the cross-shore profile and on the evaluation of the first and second derivatives of the cross-shore topography. The methodology is compared to visual observations as well as satellite images for case studies in The Netherlands and Portugal, hence showing that the methodology is generally applicable. The algorithm to derive the dune foot position in a cross-shore profile and the database derived from this study are publicly available.

©Coastal Education and Research Foundation, Inc. 2020
Eleni Diamantidou, Giorgio Santinelli, Alessio Giardino, Joost Stronkhorst, and Sierd de Vries "An Automatic Procedure for Dune Foot Position Detection: Application to the Dutch Coast," Journal of Coastal Research 36(3), 668-675, (4 February 2020). https://doi.org/10.2112/JCOASTRES-D-19-00056.1
Received: 30 April 2019; Accepted: 28 September 2019; Published: 4 February 2020
KEYWORDS
coastal indicators
coastal morphology
JarKus measurements
satellite images
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