%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Fassoni-Andrade, A. C.
%A Durand, Fabien
%A Moreira, D.
%A Azevedo, A.
%A dos Santos, V. F.
%A Funi, C.
%A Laraque, Alain
%T Comprehensive bathymetry and intertidal topography of the Amazon estuary
%D 2021
%L fdi:010081536
%G ENG
%J Earth System Science Data
%@ 1866-3508
%K BRESIL ; AMAZONE ESTUAIRE
%M ISI:000657139600002
%N 5
%P 2275-2291
%R 10.5194/essd-13-2275-2021
%U https://www.documentation.ird.fr/hor/fdi:010081536
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2021-07/010081536.pdf
%V 13
%W Horizon (IRD)
%X The characterization of estuarine hydrodynamics primarily depends on knowledge of the bathymetry and topography. Here, we present the first comprehensive, high-resolution dataset of the topography and bathymetry of the Amazon River estuary, the world's largest estuary. Our product is based on an innovative approach combining spaceborne remote sensing data, an extensive and processed river depth dataset, and auxiliary data. Our goal with this mapping is to promote the database usage in studies that require this information, such as hydrodynamic modeling or geomorphological assessments. Our twofold approach considered 500 000 sounding points digitized from 19 nautical charts for bathymetry estimation, in conjunction with a state-of-the-art topographic dataset based on remote sensing, encompassing intertidal flats, riverbanks, and adjacent floodplains. Finally, our estimate can be accessed in a unified 30 m resolution regular grid referenced to the Earth Gravitational Model 2008 (EGM08), complemented both landward and seaward by land (Multi-Error-Removed Improved-Terrain digital elevation model, MERIT DEM) and ocean (General Bathymetric Chart of the Oceans version 2020, GEBCO_2020) topographic data. Extensive validation against independent and spatially distributed data, from an airborne lidar survey, from ICESat-2 altimetric satellite data, and from various in situ surveys, shows a typical vertical accuracy of 7.2m (riverbed) and 1.2 m (non-vegetated intertidal floodplains). The dataset is available at https://doi.org/10.17632/3g6b5ynrdb.2 (Fassoni-Andrade et al., 2021).
%$ 062 ; 126