Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River
The identification of bedforms has an important role in the study of seafloor morphology. The presence of these dynamic structures on the seafloor represents a hazard for navigation. They also influence the hydrodynamic simulation models used in the context, for example, of coastal flooding. General...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Remote Sensing |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frsen.2023.1125898/full |
| _version_ | 1797851307720048640 |
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| author | Juzer Noman Willian Ney Cassol Sylvie Daniel Damien Pham Van Bang |
| author_facet | Juzer Noman Willian Ney Cassol Sylvie Daniel Damien Pham Van Bang |
| author_sort | Juzer Noman |
| collection | DOAJ |
| description | The identification of bedforms has an important role in the study of seafloor morphology. The presence of these dynamic structures on the seafloor represents a hazard for navigation. They also influence the hydrodynamic simulation models used in the context, for example, of coastal flooding. Generally, MultiBeam EchoSounders (MBES) are used to survey these bedforms. Unfortunately, the coverage of the MBES is limited to small areas per survey. Therefore, the analysis of large areas of interest (like navigation channels) requires the integration of different datasets acquired over overlapping areas at different times. The presence of spatial and temporal inconsistencies between these datasets may significantly affect the study of bedforms, which are subject to many natural processes (e.g., Tides; flow). This paper proposes a novel approach to integrate multisource bathymetric datasets to study bedforms. The proposed approach is based on consolidating multisource datasets and applying the Empirical Bayesian Kriging interpolation for the creation of a multisource Digital Bathymetric Model (DBM). It has been designed to be adapted for estuarine areas with a high dynamism of the seafloor, characteristic of the fluvio-marine regime of the Estuary of the Saint-Lawrence River. This area is distinguished by a high tidal cycle and the presence of fields of dunes. The study involves MBES data that was acquired daily over a field of dunes in this area over the span of 4 days for the purpose of monitoring the morphology and migration of dunes. The proposed approach performs well with a resulting surface with a reduced error relative to the original data compared to existing approaches and the conservation of the dune shape through the integration of the data sets despite the highly dynamic fluvio-marine environments. |
| first_indexed | 2024-04-09T19:15:45Z |
| format | Article |
| id | doaj.art-76c92da5a1044c30b314004285e53dbe |
| institution | Directory Open Access Journal |
| issn | 2673-6187 |
| language | English |
| last_indexed | 2024-04-09T19:15:45Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Remote Sensing |
| spelling | doaj.art-76c92da5a1044c30b314004285e53dbe2023-04-06T06:00:34ZengFrontiers Media S.A.Frontiers in Remote Sensing2673-61872023-04-01410.3389/frsen.2023.11258981125898Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence RiverJuzer Noman0Willian Ney Cassol1Sylvie Daniel2Damien Pham Van Bang3Département des Sciences Géomatiques, Université Laval, Québec, QC, CanadaDépartement des Sciences Géomatiques, Université Laval, Québec, QC, CanadaDépartement des Sciences Géomatiques, Université Laval, Québec, QC, CanadaCentre Eau Terre Environnement, Institut National de La Recherche Scientifique (INRS), Québec, QC, CanadaThe identification of bedforms has an important role in the study of seafloor morphology. The presence of these dynamic structures on the seafloor represents a hazard for navigation. They also influence the hydrodynamic simulation models used in the context, for example, of coastal flooding. Generally, MultiBeam EchoSounders (MBES) are used to survey these bedforms. Unfortunately, the coverage of the MBES is limited to small areas per survey. Therefore, the analysis of large areas of interest (like navigation channels) requires the integration of different datasets acquired over overlapping areas at different times. The presence of spatial and temporal inconsistencies between these datasets may significantly affect the study of bedforms, which are subject to many natural processes (e.g., Tides; flow). This paper proposes a novel approach to integrate multisource bathymetric datasets to study bedforms. The proposed approach is based on consolidating multisource datasets and applying the Empirical Bayesian Kriging interpolation for the creation of a multisource Digital Bathymetric Model (DBM). It has been designed to be adapted for estuarine areas with a high dynamism of the seafloor, characteristic of the fluvio-marine regime of the Estuary of the Saint-Lawrence River. This area is distinguished by a high tidal cycle and the presence of fields of dunes. The study involves MBES data that was acquired daily over a field of dunes in this area over the span of 4 days for the purpose of monitoring the morphology and migration of dunes. The proposed approach performs well with a resulting surface with a reduced error relative to the original data compared to existing approaches and the conservation of the dune shape through the integration of the data sets despite the highly dynamic fluvio-marine environments.https://www.frontiersin.org/articles/10.3389/frsen.2023.1125898/fullbathymetric data integrationmultibeam echosounder dataseafloor dynamicsseafloor morphologyfluvio-marine hydrodynamicsunderwater dunes |
| spellingShingle | Juzer Noman Willian Ney Cassol Sylvie Daniel Damien Pham Van Bang Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River Frontiers in Remote Sensing bathymetric data integration multibeam echosounder data seafloor dynamics seafloor morphology fluvio-marine hydrodynamics underwater dunes |
| title | Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River |
| title_full | Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River |
| title_fullStr | Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River |
| title_full_unstemmed | Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River |
| title_short | Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River |
| title_sort | bathymetric data integration approach to study bedforms in the estuary of the saint lawrence river |
| topic | bathymetric data integration multibeam echosounder data seafloor dynamics seafloor morphology fluvio-marine hydrodynamics underwater dunes |
| url | https://www.frontiersin.org/articles/10.3389/frsen.2023.1125898/full |
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