Khassoum Correa- Université de Bretagne Occidentale
Khassoum Correa
- Université de Bretagne Occidentale
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5
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Introduction
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Publications (5)
The Sahara desert is a major global source of dust that is mostly transported southwest over the ocean off West Africa. The presence of this dust impacts the remote sensing of ocean surface properties. These aerosols have absorbing properties that are poorly accounted for in the standard ocean color data processing algorithm. This can result in an...
Neural-variational algorithm adaptation from SeaWiFS to MODIS sensor for analysis of atmospheric and oceanic parameters.
The observation station “Melax” was deployed in 2015 on the wide and shallow south Senegalese shelf to study the ocean dynamics, air‐sea interactions, and dissolved oxygen (DO) cycle. Data from February 2015 to August 2016 were used to study the main physical processes affecting the variability of DO in the bottom layer (∼30 m depth) on time scales...
The acquisition and processing of 1179 images from the SeaWiFS (Sea-viewing Wide Field-of-view Sensor) sensor on board the Seastar satellite enabled us to monitor the chlorophyll a ( Chl-a) between December 2003 and November 2007 over the Senegalese plateau. The level 1 data from this sensor were processed using an algorithm combining a neuronal cl...
Remote sensing techniques based on the measurement of the "Ocean color" allow to estimate a proxy of the phytoplanktonic biomass through the estimation of "chlorophyll a" concentrations in surface waters with generic algorithms, now from almost two decades, in a near operational way. Although it incompletely describes the water column structure, th...
