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Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution
dc.rights.license | open | en_US |
hal.structure.identifier | Environnements et Paléoenvironnements OCéaniques [EPOC] | |
dc.contributor.author | LUBAC, Bertrand | |
dc.date.accessioned | 2024-09-19T11:32:44Z | |
dc.date.available | 2024-09-19T11:32:44Z | |
dc.date.issued | 2018-02-16 | |
dc.identifier.uri | oai:crossref.org:10.1002/9781119476726.ch1 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/201683 | |
dc.description.abstractEn | This chapter presents a simple method which allows for the mapping of the bathymetry in the inlet of the Arcachon lagoon as well as the characterization of the temporal evolution of the sediment stock, using multispectral satellite images. It discusses the instantaneous water depth (H), which assumes a negative value, is defined as the vertical distance from the water surface to the bottom at a given time. In coastal shallow waters associated with tidal environments, the variations of H depend first on the phase of the tide. High spatial resolution satellite images (O ~10 m) associated with littoral aquatic systems generally have strong environmental noise, which has to be corrected before any analysis. One of the simplest methods used to characterize and quantify variations in submarine topography is based on the mapping of bathymetry for two distinct dates and then calculating their difference. | |
dc.language.iso | EN | en_US |
dc.publisher | John Wiley & Sons, Inc. | en_US |
dc.source | crossref | |
dc.source.title | QGIS and Applications in Water and Risks | en_US |
dc.title.en | Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution | |
dc.type | Chapitre d'ouvrage | en_US |
dc.identifier.doi | 10.1002/9781119476726.ch1 | en_US |
bordeaux.page | 1-34 | en_US |
bordeaux.volume | 4 | en_US |
bordeaux.hal.laboratories | EPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | CNRS | en_US |
bordeaux.team | METHYS | en_US |
bordeaux.inpress | non | en_US |
bordeaux.import.source | dissemin | |
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hal.popular | non | en_US |
hal.audience | Internationale | en_US |
hal.export | true | |
workflow.import.source | dissemin | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=QGIS%20and%20Applications%20in%20Water%20and%20Risks&rft.date=2018-02-16&rft.volume=4&rft.spage=1-34&rft.epage=1-34&rft.au=LUBAC,%20Bertrand&rft.genre=unknown |
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