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Open AccessArticle

High-Resolution Intertidal Topography from Sentinel-2 Multi-Spectral Imagery: Synergy between Remote Sensing and Numerical Modeling

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LEGOS UMR5566, CNRS/CNES/IRD/UPS, 31400 Toulouse, France
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Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
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Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
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Laboratório de Geoquímica, Instituto de Geociencias, Universidade de Brasilia, Brasilia 70.910-900, Brazil
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LIENSs UMR 7266, CNRS, University of La Rochelle, 17000 La Rochelle, France
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Bangabandhu Sheikh Mujibur Rahman Maritime University, Dhaka 1216, Bangladesh
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Indo French Cell for Water Sciences, Indian Institute of Science, Bangalore 560012, India
*
Author to whom correspondence should be addressed.
Current address: Department of Ocean, Earth & Atmospheric Sciences, Old Dominion University, Norfolk, VA 23529, USA.
Remote Sens. 2019, 11(24), 2888; https://doi.org/10.3390/rs11242888
Received: 17 October 2019 / Revised: 11 November 2019 / Accepted: 30 November 2019 / Published: 4 December 2019
The intertidal zones are well recognized for their dynamic nature and role in near-shore hydrodynamics. The intertidal topography is poorly mapped worldwide due to the high cost of associated field campaigns. Here we present a combination of remote-sensing and hydrodynamic modeling to overcome the lack of in situ measurements. We derive a digital elevation model (DEM) by linking the corresponding water level to a sample of shorelines at various stages of the tide. Our shoreline detection method is fully automatic and capable of processing high-resolution imagery from state-of-the-art satellite missions, e.g., Sentinel-2. We demonstrate the use of a tidal model to infer the corresponding water level in each shoreline pixel at the sampled timestamp. As a test case, this methodology is applied to the vast coastal region of the Bengal delta and an intertidal DEM at 10 m resolution covering an area of 1134 km 2 is developed from Sentinel-2 imagery. We assessed the quality of the DEM with two independent in situ datasets and conclude that the accuracy of our DEM amounts to about 1.5 m, which is commensurate with the typical error bar of the validation datasets. This DEM can be useful for high-resolution hydrodynamic and wave modeling of the near-shore area. Additionally, being automatic and numerically effective, our methodology is compliant with near-real-time monitoring constraints. View Full-Text
Keywords: Sentinel-2; digital elevation model; intertidal region; Bengal delta Sentinel-2; digital elevation model; intertidal region; Bengal delta
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MDPI and ACS Style

Khan, M.J.U.; Ansary, M.N.; Durand, F.; Testut, L.; Ishaque, M.; Calmant, S.; Krien, Y.; Islam, A.S.; Papa, F. High-Resolution Intertidal Topography from Sentinel-2 Multi-Spectral Imagery: Synergy between Remote Sensing and Numerical Modeling. Remote Sens. 2019, 11, 2888.

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