Yepez S. auteur aut IRD Laraque Alain auteur aut IRD Martinez Jean-Michel auteur aut IRD De Sa J. auteur aut IRD Carrera J. M. auteur aut IRD Castellanos B. auteur aut IRD Gallay M. auteur aut IRD Lopez J. L. auteur aut IRD text journalArticle eng text/pdf reformatted digital access In this study, 81 Landsat-8 scenes acquired from 2013 to 2015 were used to estimate the suspended sediment concentration (SSC) in the Orinoco River at its main hydrological station at Ciudad Bolivar, Venezuela. This gauging station monitors an upstream area corresponding to 89% of the total catchment area where the mean discharge is of 33,000 m(3).s (1). SSC spatial and temporal variabilities were analyzed in relation to the hydrological cycle and to local geomorphological characteristics of the river mainstream. Three types of atmospheric correction models were evaluated to correct the Landsat-8 images: DOS, FLAASH, and L8SR. Surface reflectance was compared with monthly water sampling to calibrate a SSC retrieval model using a bootstrapping resampling. A regression model based on surface reflectance at the Near-Infrared wavelengths showed the best performance: R-2 = 0.92 (N = 27) for the whole range of SSC (18 to 203 mg.l (1)) measured at this station during the studied period. The method offers a simple new approach to estimate the SSC along the lower Orinoco River and demonstrates the feasibility and reliability of remote sensing images to map the spatiotemporal variability in sediment transport over large rivers. specialized Suspended sediment concentration Funnel effect Surface Reflectance Landsat-8 Atmospheric correction Orinoco River L8SR VENEZUELA ORENOQUE 062 064 126 350 1-2 20-30 2018 1631-0713 https://www.documentation.ird.fr/hor/fdi:010072467 10.1016/j.crte.2017.08.004 1631-0713 [F B010072467] https://www.documentation.ird.fr/hor/fdi:010072467 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers18-04/010072467.pdf IRD - Base Horizon / Pleins textes 2018-05-04 2018-05-04 fdi:010072467 fre