Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic Variables
Type | Article | ||||||||
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Date | 2023-07 | ||||||||
Language | English | ||||||||
Author(s) | Correa Khassoum1, 2, Machu Eric1, 2, Brajard Julien3, 4, Diouf Daouda5, Sall Saïdou Moustapha1, Demarcq Herve6 | ||||||||
Affiliation(s) | 1 : Laboratoire de Physique de l’Atmosphère et de l’Océan—Siméon Fongang, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop, Dakar-Fann 5085, Senegal 2 : Laboratoire d’Océanographie Physique et Spatiale, Unité Mixte de Recherche 6523, Université de Bretagne Occidentale, CNRS, IRD, Ifremer—IUEM, 29280 Plouzane, France 3 : Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques, UMR 7159, MNHN, CNRS, SU, IRD, 75005 Paris, France 4 : Nansen Environmental and Remote Sensing Center, 5007 Bergen, Norway 5 : Laboratoire de Traitement de l’Information, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop, Dakar-Fann 5085, Senegal 6 : MARine Biodiversity, Exploitation and Conservation, IRD, IFREMER, CNRS, Université Montpellier, 34200 Sète, France |
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Source | Remote Sensing (2072-4292) (MDPI AG), 2023-07 , Vol. 15 , N. 14 , P. 3613 (21p.) | ||||||||
DOI | 10.3390/rs15143613 | ||||||||
Note | This article belongs to the Section Biogeosciences Remote Sensing | ||||||||
Keyword(s) | ocean color, atmospheric correction, absorbing aerosols, canary current | ||||||||
Abstract | 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. |
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