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Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters ArchiMer
Novoa, Stefani; Doxaran, David; Ody, Anouck; Vanhellemont, Quinten; Lafon, Virginie; Lubac, Bertrand; Gernez, Pierre.
The accurate measurement of suspended particulate matter (SPM) concentrations in coastal waters is of crucial importance for ecosystem studies, sediment transport monitoring, and assessment of anthropogenic impacts in the coastal ocean. Ocean color remote sensing is an efficient tool to monitor SPM spatio-temporal variability in coastal waters. However, near-shore satellite images are complex to correct for atmospheric effects due to the proximity of land and to the high level of reflectance caused by high SPM concentrations in the visible and near-infrared spectral regions. The water reflectance signal ((w)) tends to saturate at short visible wavelengths when the SPM concentration increases. Using a comprehensive dataset of high-resolution satellite...
Tipo: Text Palavras-chave: Remote sensing; Suspended particulate matter; Coastal waters; River plumes; Multi-conditional algorithm.
Ano: 2017 URL: https://archimer.ifremer.fr/doc/00590/70197/68222.pdf
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