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Remote Sens. 2017, 9(7), 653; doi:10.3390/rs9070653

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

1
Department of Marine and Coastal Information Science, Deltares, 2629 HV Delft, Netherlands
2
Department of Geoscience and Remote Sensing, Delft University of Technology, 2628 CD Delft, Netherlands
3
Department of Hydraulic Engineering, Delft University of Technology, 2628 CD Delft, Netherlands
4
Shore Monitoring & Research, 2583 DW The Hague, Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: Richard Gloaguen
Received: 25 April 2017 / Revised: 21 June 2017 / Accepted: 23 June 2017 / Published: 24 June 2017
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
View Full-Text   |   Download PDF [4146 KB, uploaded 26 June 2017]   |  

Abstract

This paper presents a semi-automated approach to detecting coastal shoreline change with high spatial- and temporal-resolution using X-band synthetic aperture radar (SAR) data. The method was applied at the Sand Motor, a “mega-scale” beach nourishment project in the Netherlands. Natural processes, like waves, wind, and tides, gradually distribute the highly concentrated sand to adjacent beaches. Currently, various in-situ techniques are used to monitor the Sand Motor on a monthly basis. Meanwhile, the TerraSAR-X satellite collects two high-resolution (3 × 3 m), cloud-penetrating SAR images every 11 days. This study investigates whether shorelines detected in TerraSAR-X imagery are accurate enough to monitor the shoreline dynamics of a project like the Sand Motor. The study proposes and implements a semi-automated workflow to extract shorelines from all 182 available TerraSAR-X images acquired between 2011 and 2014. The shorelines are validated using bi-monthly RTK-GPS topographic surveys and nearby wave and tide measurements. A valid shoreline could be extracted from 54% of the images. The horizontal accuracy of these shorelines is approximately 50 m, which is sufficient to assess the larger scale shoreline dynamics of the Sand Motor. The accuracy is affected strongly by sea state and partly by acquisition geometry. We conclude that using frequent, high-resolution TerraSAR-X imagery is a valid option for assessing coastal dynamics on the order of tens of meters at approximately monthly intervals. View Full-Text
Keywords: high-resolution SAR imagery; TerraSAR-X; shoreline; beach nourishment; Sand Motor; coastal dynamics high-resolution SAR imagery; TerraSAR-X; shoreline; beach nourishment; Sand Motor; coastal dynamics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Vandebroek, E.; Lindenbergh, R.; van Leijen, F.; de Schipper, M.; de Vries, S.; Hanssen, R. Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data. Remote Sens. 2017, 9, 653.

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