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Amundsen Sea bathymetry: the benefits of using gravity data for bathymetric prediction / M. Mcmillan in IEEE Transactions on geoscience and remote sensing, vol 47 n° 12 Tome 2 (December 2009)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 47 n° 12 Tome 2 (December 2009) . - pp 4223 - 4228 Titre : Amundsen Sea bathymetry: the benefits of using gravity data for bathymetric prediction Type de document : Article/Communication Auteurs : M. Mcmillan, Auteur ; A. Sheperd, Auteur ; D. Vaughan, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 4223 - 4228 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bathymétrie [Termes IGN] Amundsen, mer d' [Termes IGN] Arctique, océan [Termes IGN] données altimétriques [Termes IGN] fond marin [Termes IGN] gravimétrie en mer [Termes IGN] image ERS [Termes IGN] levé gravimétrique [Termes IGN] méthode de Monte-Carlo [Termes IGN] plateau continental [Termes IGN] prédiction [Termes IGN] profondeur Résumé : (Auteur) Bathymetric charts are essential for modeling oceanic processes, yet, in remote areas, direct measurements of seafloor depth are often scarce. It is possible to augment sparse depth soundings with dense satellite-derived gravity data to provide additional bathymetric detail in regions devoid of sounding data. We demonstrate this method by using marine gravity derived from the European Remote Sensing (ERS-1) satellite altimeter, combined with depth soundings, to form a bathymetric prediction of the Amundsen Sea, West Antarctica. We estimate the root mean square error of depth estimates at unsurveyed locations in our solution to be ~120 m. We use a Monte Carlo method to assess the value of gravity as a bathymetric predictor in sparsely surveyed regions by comparing our solution to predictions formed from depth soundings alone. When less than ~11% of 10-km grid cells contain depth soundings, inclusion of gravity data improves the depth accuracy of the solution by up to 17%, as compared to a minimum curvature surface interpolation of the depth soundings alone. When depth data are sparse, our gravity-derived prediction reveals additional short-wavelength bathymetric features, such as troughs on the continental shelf, which are not resolved by interpolations of the depth soundings alone. Copyright IEEE Numéro de notice : A2009-493 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2023665 En ligne : https://doi.org/10.1109/TGRS.2009.2023665 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30122 [article]

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