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Monte Carlo-Based Quantification of Uncertainties in Determining Ocean Remote Sensing Reflectance from Underwater Fixed-Depth Radiometry Measurements ArchiMer
Bialek, Agnieszka; Vellucci, Vincenzo; Gentili, Bernard; Antoine, David; Gorrono, Javier; Fox, Nigel; Underwood, Craig.
A new framework that enables evaluation of the in situ ocean color radiometry measurement uncertainty is presented. The study was conducted on the multispectral data from a permanent mooring deployed in clear open ocean water. The uncertainty is evaluated for each component of the measurement equation and data processing step that leads to deriving the remote sensing reflectance. The Monte Carlo method was selected to handle the data complexity such as correlation and nonlinearity in an efficient manner. The results are presented for a prescreened dataset that is suitable for system vicarious calibration applications. The framework provides uncertainty value per measurement taking into consideration environmental conditions present during acquisition. A...
Tipo: Text Palavras-chave: Ocean; In situ oceanic observations; Quality assurance; Control; Error analysis.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00640/75202/75334.pdf
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