remote sensing Article Mapping Sea Surface Height Using New Concepts of Kinematic GNSS Instruments Clémence Chupin 1,* , Valérie Ballu 1 , Laurent Testut 1,2, Yann-Treden Tranchant 1, Michel Calzas 3 , Etienne Poirier 1, Thibault Coulombier 1, Olivier Laurain 4, 5 5, Pascal Bonnefond and Team FOAM Project y 1 LIttoral ENvironnement et Sociétés (LIENSs), UMR 7266, CNRS/La Rochelle Université, 2, Rue Olympe de Gouges, 17000 La Rochelle, France;
[email protected] (V.B.);
[email protected] (L.T.);
[email protected] (Y.-T.T.);
[email protected] (E.P.);
[email protected] (T.C.) 2 LEGOS, 18 av. Ed. Belin, 31000 Toulouse, France 3 DT INSU, Bâtiment IPEV, BP 74, 29280 Plouzane, France;
[email protected] 4 Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, IRD, Géoazur, 250 Rue Albert Einstein, Sophia Antipolis, 06560 Valbonne, France;
[email protected] 5 SYRTE, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités, UPMC Univ. Paris 06, LNE, 77 Avenue Denfert-Rochereau, 75014 Paris, France;
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[email protected]; Tel.: +33-546507624 See complete list at the end of the article in AppendixA. y Received: 3 July 2020; Accepted: 12 August 2020; Published: 19 August 2020 Abstract: For over 25 years, satellite altimetry observations have provided invaluable information about sea-level variations, from Global Mean Sea-Level to regional meso-scale variability. However, this information remains difficult to extract in coastal areas, where the proximity to land and complex dynamics create complications that are not sufficiently accounted for in current models.