Influence of oceanic whitecaps on atmospheric correction of ocean-color sensors

1994 ◽  
Vol 33 (33) ◽  
pp. 7754 ◽  
Author(s):  
Howard R. Gordon ◽  
Menghua Wang
Keyword(s):  
Ocean Color ◽  
Atmospheric Correction ◽  
Color Sensors

Preliminary Evaluation of the Atmospheric Correction Look-Up-Tables (LUTs) of the COCTS-HY1C

2020 ◽  
Author(s):  
Keping Du ◽  
Shuguo Chen ◽  
Jing Ding ◽  
Zhongping Lee
Keyword(s):  
Rayleigh Scattering ◽  
Ocean Color ◽  
Atmospheric Correction ◽  
Ultra Violet ◽  
Preliminary Evaluation ◽  
The Novel ◽  
Aerosol Scattering ◽  
Processing Step ◽  
Color Sensors ◽  
The Look

<p>The Chinese Ocean Colour and Temperature Scanner (COCTS), Coastal Zone Imager (CZI) and the novel Ultra-Violet Imager (UVI) which on-board the Chinese Ocean Satellite  HY-1C was launched in September 2018. The atmospheric correction of ocean color sensors was a critical step for accurate retrieval of the remote sensing reflectance, and the look-up-tables (LUTs), for the Rayleigh scattering, the aerosol scattering, and the diffuse transmittance, which were built bases on a Successive Order Scattering Vector Radiative Transfer Solver, played an important role in the processing step. Preliminary evaluation has been performed using the SeaWiFS LUTs and the MODIS data, it showed that COCTS can provide accurate ocean color products.</p>

Atmospheric correction of ocean-color sensors: effects of the Earth’s curvature

1994 ◽  
Vol 33 (30) ◽  
pp. 7096 ◽  
Author(s):  
Kuiyuan Ding ◽  
Howard R. Gordon
Keyword(s):  
Ocean Color ◽  
Atmospheric Correction ◽  
Color Sensors

scholarly journals Improvement of Atmospheric Correction of Satellite Sentinel-3/OLCI Data for Oceanic Waters in Presence of Sargassum

2022 ◽  
Vol 14 (2) ◽  
pp. 386
Author(s):  
Léa Schamberger ◽  
Audrey Minghelli ◽  
Malik Chami ◽  
François Steinmetz
Keyword(s):  
Near Infrared ◽  
Ocean Color ◽  
Atmospheric Correction ◽  
Correction Algorithm ◽  
Infrared Band ◽  
Economic Issues ◽  
Optical Signature ◽  
Color Data ◽  
The Caribbean ◽  
Satellite Ocean Color

The invasive species of brown algae Sargassum gathers in large aggregations in the Caribbean Sea, and has done so especially over the last decade. These aggregations wash up on shores and decompose, leading to many socio-economic issues for the population and the coastal ecosystem. Satellite ocean color data sensors such as Sentinel-3/OLCI can be used to detect the presence of Sargassum and estimate its fractional coverage and biomass. The derivation of Sargassum presence and abundance from satellite ocean color data first requires atmospheric correction; however, the atmospheric correction procedure that is commonly used for oceanic waters needs to be adapted when dealing with the occurrence of Sargassum because the non-zero water reflectance in the near infrared band induced by Sargassum optical signature could lead to Sargassum being wrongly identified as aerosols. In this study, this difficulty is overcome by interpolating aerosol and sunglint reflectance between nearby Sargassum-free pixels. The proposed method relies on the local homogeneity of the aerosol reflectance between Sargassum and Sargassum-free areas. The performance of the adapted atmospheric correction algorithm over Sargassum areas is evaluated. The proposed method is demonstrated to result in more plausible aerosol and sunglint reflectances. A reduction of between 75% and 88% of pixels showing a negative water reflectance above 600 nm were noticed after the correction of the several images.

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