@article{fdi:010090062,
  title = {{A}daptation of a neuro-variational algorithm from {S}ea{W}i{FS} to {MODIS}-aqua sensor for the determination of atmospheric and oceanic variables},
  author = {{C}orrea, {K}. and {M}achu, {E}ric and {B}rajard, {J}. and {D}iouf, {D}. and {S}all, {S}. {M}. and {D}emarcq, {H}erv{\'e}},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}ahara desert is a major global source of dust that is mostly transported southwest over the ocean off {W}est {A}frica. {T}he presence of this dust impacts the remote sensing of ocean surface properties. {T}hese aerosols have absorbing properties that are poorly accounted for in the standard ocean color data processing algorithm. {T}his 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 {S}ea-viewing {W}ide field-of-view {S}ensor ({S}ea{W}i{FS}) data was adapted to the {M}oderate {R}esolution {I}maging {S}pectroradiometer ({MODIS}-{A}qua) sensor in the {N}orthwest {A}frican region. {T}he {N}orthwest {A}frican region is a very productive region, where pelagic resources are an important socio-economic sector. {I}mproving atmospheric correction of ocean color products is, thus, of particular interest for this oceanic region. {T}he 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 ({C}hla) 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. {T}o the extent that the properties of the water color signal are improved by this data processing, the {C}hla estimates should also be improved by this approach. {H}owever, it is difficult to conclude on this point from the available in situ observations.},
  keywords = {ocean color ; atmospheric correction ; absorbing aerosols ; canary current ; {ATLANTIQUE} ; {AFRIQUE} {DE} {L}'{OUEST} ; {SAHARA}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {15},
  numero = {14},
  pages = {3613 [21 ]},
  year = {2023},
  DOI = {10.3390/rs15143613},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090062},
}