Ocean Color Remote Sensing of Suspended Sediments along a Continuum from Rivers to River Plumes: Concentration, Transport, Fluxes and Dynamics

Type : ACL
Nature : Production scientifique
Au bénéfice du Laboratoire : Oui
Statut de publication : Publié
Année de publication : 2022
Auteurs (7) : ODY Anouck DOXARAN David VERNEY Romaric BOURRIN François MORIN G,p PAIRAUD Ivane GANGLOFF Aurélien
Revue scientifique : Remote Sensing
Volume : 14
Fascicule : 9
Pages :
DOI : 10.3390/rs14092026
URL : https://www.mdpi.com/2072-4292/14/9/2026
Abstract : This study investigates the capability of high and medium spatial resolution ocean color satellite data to monitor the transport of suspended particulate matter (SPM) along a continuum from river to river mouth to river plume. An existing switching algorithm combining the use of green, red and near-infrared satellite wavebands was improved to retrieve SPM concentrations over the very wide range (from 1 to more than 1000 g.m(-3)) encountered over such a continuum. The method was applied to time series of OLI, MSI, and MODIS satellite data. Satisfactory validation results were obtained even at the river gauging station. The river liquid discharge is not only related to the SPM concentration at the gauging station and at the river mouth, but also to the turbid plume area and SPM mass estimated within the surface of the plume. The overall results highlight the potential of combined field and ocean color satellite observations to monitor the transport and fluxes of SPM discharged by rivers into the coastal ocean.
Mots-clés : ALGORITHM; ATMOSPHERIC CORRECTION; COASTAL; INLAND; liquid and solid river discharges into the coastal ocean; MATTER PARTICLE-SIZE; ocean color; ORGANIC-CARBON; PARTICULATE MATTER; RHONE RIVER; river mouth continuum; SATELLITE DATA; suspended particulate matter; WEST-EUROPEAN ESTUARIES
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Citation :
Ody A, Doxaran D, Verney R, Bourrin F, Morin GP, Pairaud I, Gangloff A (2022) Ocean Color Remote Sensing of Suspended Sediments along a Continuum from Rivers to River Plumes: Concentration, Transport, Fluxes and Dynamics. Remote Sens 14 | doi: 10.3390/rs14092026