| Registro completo |
| Provedor de dados: |
ArchiMer
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| País: |
France
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| Título: |
Monte Carlo-Based Quantification of Uncertainties in Determining Ocean Remote Sensing Reflectance from Underwater Fixed-Depth Radiometry Measurements
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| Autores: |
Bialek, Agnieszka
Vellucci, Vincenzo
Gentili, Bernard
Antoine, David
Gorrono, Javier
Fox, Nigel
Underwood, Craig
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| Data: |
2020-02
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| Ano: |
2020
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| Palavras-chave: |
Ocean
In situ oceanic observations
Quality assurance
Control
Error analysis
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| Resumo: |
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 summary value is calculated from the statistics of the individual uncertainties per each spectral channel. This summary value is below 4% (k = 1) for the blue and green spectral range. For the red spectral channels, the summary uncertainty value increases to approximately 5%. The presented method helps to understand the significance of various uncertainty components and to provide a way of identifying major contributors. This can be used for efficient system performance improvement in the future.
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| Tipo: |
Text
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| Idioma: |
Inglês
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| Identificador: |
https://archimer.ifremer.fr/doc/00640/75202/75334.pdf
DOI:10.1175/JTECH-D-19-0049.1
https://archimer.ifremer.fr/doc/00640/75202/
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| Editor: |
Amer Meteorological Soc
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| Formato: |
application/pdf
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| Fonte: |
Journal Of Atmospheric And Oceanic Technology (0739-0572) (Amer Meteorological Soc), 2020-02 , Vol. 37 , N. 2 , P. 177-196
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| Direitos: |
info:eu-repo/semantics/openAccess
restricted use
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