Evaluating SWOT's interferometric capabilities for mapping intertidal topography

The Surface Water and Ocean Topography (SWOT) mission, originally designed for observing ocean and inland water bodies, can be a valuable tool for mapping the topography of intertidal flats. This study provides the first demonstration of SWOT's ability to measure intertidal topography using simultaneous interferometric acquisitions. Observations acquired between April and July 2023, during the calibration/validation (CALVAL) phase of the mission, were used. SWOT-derived intertidal Digital Elevation Models (DEMs) were generated from level-2 High-Rate Pixel Cloud (L2_HR_PIXC) products and compared to airborne and UAV LiDAR-derived DEMs. Our results indicate a high reliability of the SWOT observations with a mean absolute error lower than 0.49 m, reaching 0.13 m in specific areas. This validation confirms SWOT's contribution for coastal studies beyond water level mapping, showcasing its broader applicability in the monitoring and management of coastal and estuarine environments. • SWOT can effectively map intertidal topography, expanding the mission scientific applications. • SWOT enables intertidal mapping thanks to the strong backscattering in these regions. • SWOT-derived intertidal topography matches LiDAR benchmarks (airborne and UAV). • Root Mean Squared Errors were below 20 cm over the UAV-covered strip. • SWOT provides accurate topography from single acquisitions at low tide.

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Publication Details

Journal
Remote Sensing of Environment
Published
2024-09-03
DOI
https://doi.org/10.1016/j.rse.2024.114401
Citations
18
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
12.78
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article

Evaluating SWOT's interferometric capabilities for mapping intertidal topography

Benoı̂t Laignel, Edward Salameh, Julien Deloffre, Roger Fjørtoft et al.
18 citations
Remote Sensing of Environment
Coastal and Marine Management
12.78
article

Evaluating SWOT's interferometric capabilities for mapping intertidal topography

Benoı̂t Laignel, Edward Salameh, Julien Deloffre, Roger Fjørtoft, E. Tonatiuh Mendoza, Imen Turki, Laurent Froideval, Nicolas Picot, Damien Desroches, Frédéric Frappart, Romain Levaillant, Simon Déchamps
article en
18 citations

Abstract

The Surface Water and Ocean Topography (SWOT) mission, originally designed for observing ocean and inland water bodies, can be a valuable tool for mapping the topography of intertidal flats. This study provides the first demonstration of SWOT's ability to measure intertidal topography using simultaneous interferometric acquisitions. Observations acquired between April and July 2023, during the calibration/validation (CALVAL) phase of the mission, were used. SWOT-derived intertidal Digital Elevation Models (DEMs) were generated from level-2 High-Rate Pixel Cloud (L2_HR_PIXC) products and compared to airborne and UAV LiDAR-derived DEMs. Our results indicate a high reliability of the SWOT observations with a mean absolute error lower than 0.49 m, reaching 0.13 m in specific areas. This validation confirms SWOT's contribution for coastal studies beyond water level mapping, showcasing its broader applicability in the monitoring and management of coastal and estuarine environments. • SWOT can effectively map intertidal topography, expanding the mission scientific applications. • SWOT enables intertidal mapping thanks to the strong backscattering in these regions. • SWOT-derived intertidal topography matches LiDAR benchmarks (airborne and UAV). • Root Mean Squared Errors were below 20 cm over the UAV-covered strip. • SWOT provides accurate topography from single acquisitions at low tide.

Remote Sensing of EnvironmentVol. 314
Centre National de la Recherche Scientifique (FR), Centre National d'Études Spatiales (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Biologie du Fruit et Pathologie (FR), Continental (France) (FR), Santé et Agroécologie du Vignoble (FR), Normandie Université (FR), Interaction Sol Plante Atmosphère (FR), Institut de Chimie Moléculaire de Reims (FR), Unité mixte de recherche Œnologie (FR), Laboratoire Morphodynamique Continentale et Côtière, Université de Rouen Normandie (FR), Université de Caen Normandie (FR)
Climate action
Openalex Percentile: Top 1%
Coastal and Marine Management
12.78
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