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Article

Assessing Storm Response of Multiple Intertidal Bars Using an Open-Source Automatic Processing Toolbox

1
Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium
2
Remote Sensing Unit, VITO, 2040 Mol, Belgium
3
Geoconsultant, 1502 Halle, Belgium
4
Earth & Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, 1348 Wallonia, Belgium
*
Author to whom correspondence should be addressed.
Academic Editors: Bas van Wesemael, Trissevgeni Stavrakou, Jean-Christophe Schyns, Joost Vandenabeele, Hans Lievens, Dimitry van der Zande and Kim Calders
Remote Sens. 2022, 14(4), 1005; https://doi.org/10.3390/rs14041005
Received: 13 January 2022 / Revised: 14 February 2022 / Accepted: 15 February 2022 / Published: 18 February 2022
(This article belongs to the Special Issue Innovative Belgian Earth Observation Research for the Environment)
Intertidal bars are common features of sandy beaches in meso- and macro-tidal environments, yet their behaviour under storm impact and subsequent recovery remain poorly documented. Intensive surveys provide valuable information; however, it takes time to process the vast amount of data. This study presents the morphological response of a multibarred macro-tidal beach along the Belgian coast after a severe storm that happened on 8–12 February 2020, and to develop and apply an oPen-source Raster prOcessing Toolbox for invEstigation Coast intertidal bar displacemenT (PROTECT) in Python for automated bar extraction. This toolbox was applied to the digital surface models of pre- and post-storm airborne LiDAR surveys of a multibarred intertidal beach. The PROTECT toolbox is capable of detecting the position and elevation of intertidal bars accurately. The uncertainty in the elevation characteristics of the bars induces an error in the elevation dimension of 0.10 m. Using the toolbox, the results showed that the intertidal bars changed in term of variations in bar number, dimensions and shape across the storm event. Overall, the storm significantly eroded the dune and the upper-beach zone with a sand loss equivalent elevation decrease of −0.14 m. This was followed by a continuous and full recovery after 9 months under fair weather conditions. In contrast, the sand budget in the intertidal zone did not change over the entire monitoring period although the bars showed significant morphological change. Applying the PROTECT toolbox on high-resolution 3D topographic datasets allows to increase the temporal mapping resolution of intertidal bars from long-term (years) to short (storm events) time scales. Similar assessments at locations worldwide would allow the improvement of our knowledge on the morphodynamical role of multibarred beaches and to forecast their evolution, thus contributing to manage future storm response and the progressively accelerating sea level rise. View Full-Text
Keywords: automatic bar detection; LiDAR survey; beach morphology; storm; macro-tidal environment automatic bar detection; LiDAR survey; beach morphology; storm; macro-tidal environment
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MDPI and ACS Style

Montreuil, A.-L.; Moelans, R.; Houthuys, R.; Bogaert, P.; Chen, M. Assessing Storm Response of Multiple Intertidal Bars Using an Open-Source Automatic Processing Toolbox. Remote Sens. 2022, 14, 1005. https://doi.org/10.3390/rs14041005

AMA Style

Montreuil A-L, Moelans R, Houthuys R, Bogaert P, Chen M. Assessing Storm Response of Multiple Intertidal Bars Using an Open-Source Automatic Processing Toolbox. Remote Sensing. 2022; 14(4):1005. https://doi.org/10.3390/rs14041005

Chicago/Turabian Style

Montreuil, Anne-Lise, Robrecht Moelans, Rik Houthuys, Patrick Bogaert, and Margaret Chen. 2022. "Assessing Storm Response of Multiple Intertidal Bars Using an Open-Source Automatic Processing Toolbox" Remote Sensing 14, no. 4: 1005. https://doi.org/10.3390/rs14041005

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