Long-term bar dynamics using satellite imagery

Long-term bar dynamics using satellite imagery: A case study at Anmok beach, South Korea

Athanasiou, Panagiotis (University of Twente; Deltares)
de Boer, W.P. (TU Delft Rivers, Ports, Waterways and Dredging Engineering; Deltares)
Tonnon, Pieter Koen (Deltares)
Yoo, Jeseon (Korean Institute of Ocean Science and Technology)
de Schipper, M.A. (TU Delft Coastal Engineering)
de Vries, S. (TU Delft Coastal Engineering)
Ranasinghe, Roshanka (TU Delft Coastal Engineering; University of Twente; Deltares)
Reniers, A.J.H.M. (TU Delft Environmental Fluid Mechanics)

2018

Nearshore sandbar patterns can affect the hydrodynamics and, as a result, the beach morphodynamics in the nearshore zone. Hence, spatial and temporal variability in the sandbars can influence beach accretion and erosion. Understanding the variability of the sandbar system can therefore be crucial for informed coastal zone management. So far, the methods to study sandbar dynamics mainly include datasets of video observations or occasional bathymetric surveys. However, at most locations around the world, these types of data are not or only scarcely available. In this paper we present an alternative method to analyze long-term sandbar variability by means of freely available satellite imagery. These images are globally available since the 1980’s and, thus, have the potential to be applicable at any location in the world. Here, we will illustrate the methodology by means of a case study at Anmok beach at the South Korean East coast.

http://resolver.tudelft.nl/uuid:51796f78-a6c4-4279-9c38-ba585d9e556b

https://doi.org/10.9753/icce.v36.sediment.91

0161-3782

Proceedings of the Coastal Engineering Conference, 36 (2018)

36th International Conference on Coastal Engineering, ICCE 2018, 2018-07-30 → 2018-08-03, Baltimore Mariott Waterfront Hotel, 700 Aliceanna Street, Baltimore, MD 21202, Baltimore, United States

Institutional Repository

journal article

© 2018 Panagiotis Athanasiou, W.P. de Boer, Pieter Koen Tonnon, Jeseon Yoo, M.A. de Schipper, S. de Vries, Roshanka Ranasinghe, A.J.H.M. Reniers