FN Archimer Export Format
PT J
TI Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables
BT 
AF Correa, Khassoum
   Machu, Eric
   Brajard, Julien
   Diouf, Daouda
   Sall, Saïdou Moustapha
   Demarcq, Herve
AS 1:1,2;2:1,2;3:3,4;4:5;5:1;6:6;
FF 1:;2:;3:;4:;5:;6:;
C1 Laboratoire de Physique de l’Atmosphère et de l’Océan—Siméon Fongang, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop, Dakar-Fann 5085, Senegal
   Laboratoire d’Océanographie Physique et Spatiale, Unité Mixte de Recherche 6523, Université de Bretagne Occidentale, CNRS, IRD, Ifremer—IUEM, 29280 Plouzane, France
   Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques, UMR 7159, MNHN, CNRS, SU, IRD, 75005 Paris, France
   Nansen Environmental and Remote Sensing Center, 5007 Bergen, Norway
   Laboratoire de Traitement de l’Information, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop, Dakar-Fann 5085, Senegal
   MARine Biodiversity, Exploitation and Conservation, IRD, IFREMER, CNRS, Université Montpellier, 34200 Sète, France
C2 IRD, FRANCE
   UBO, FRANCE
   MNHN, FRANCE
   NANSEN, NORWAY
   UNIV CHEICK ANTA DIOP, SENEGAL
   IRD, FRANCE
UM LOPS
   MARBEC
IN WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
   copubli-sud
IF 5
TC 0
UR https://archimer.ifremer.fr/doc/00847/95873/103744.pdf
LA English
DT Article
CR AWA
   ECOAO
   ECOAO
   UPSEN 2012
   UPSEN 2013
BO Thalassa
   Antea
   Le Suroît
DE ;ocean color;atmospheric correction;absorbing aerosols;canary current
AB 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 overestimation of the atmospheric contribution to the ocean color signal and consequently an underestimation of the oceanic contribution. A two-step algorithm initially applied to the Sea-viewing Wide field-of-view Sensor (SeaWiFS) data was adapted to the Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua) sensor in the Northwest African region. The Northwest African region is a very productive region, where pelagic resources are an important socio-economic sector. Improving atmospheric correction of ocean color products is, thus, of particular interest for this oceanic region. The two-step approach of classifying the top-of-atmosphere radiance spectra for a better estimate of aerosol type on the one hand, and using an optimization method to fit the parameters of these aerosols and chlorophyll-a concentration (Chla) on the other hand, allows for a better representation of the optical thickness, a correction of the marine reflectance spectrum, and an increase in the spatio-temporal coverage of the area. To the extent that the properties of the water color signal are improved by this data processing, the Chla estimates should also be improved by this approach. However, it is difficult to conclude on this point from the available in situ observations. 
PY 2023
PD JUN
SO Remote Sensing
SN 2072-4292
PU MDPI AG
VL 15
IS 14
UT 001038809300001
DI 10.3390/rs15143613
ID 95873
ER

EF