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Environmental effects in ocean color remote sensing
SPIE Proceedings, 2009Ocean color imagery, when viewed from space, is degraded due to scattering by the atmosphere. The effect, also known as the adjacency effect, is especially important near the coast, sea-ice, and clouds, i.e., where the environment reflectance is much different from the target reflectance.
Robert Frouin +2 more
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Deep Learning for Enhanced Ocean Color Remote Sensing: A Foundation Model Approach
IEEE Transactions on Geoscience and Remote SensingOcean color remote sensing has advanced over the past 40 years, with algorithms primarily rooted in radiative transfer theory to estimate various ocean color properties.
Yi Yang, Hao-Yu Wang, Xiao-Feng Li
semanticscholar +1 more source
A stochastic technique for remote sensing of ocean color
SPIE Proceedings, 2006Remote sensing of ocean color from space aims at retrieving from a noisy top-of-atmosphere radiance the values taken by some relevant quantities like the chlorophyll-a concentration or the marine reflectance. From a mathematical perspective, it is an ill-posed inverse problem with a highly nonlinear operator. Few techniques are available in
Robert Frouin, Bruno Pelletier
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IEEE Transactions on Geoscience and Remote Sensing
The estimation of dissolved inorganic carbon (DIC) in global surface ocean waters is crucial for understanding air-sea carbon dioxide (CO2) flux rates, ocean acidification, and climate change.
Ibrahim Shaik +9 more
semanticscholar +1 more source
The estimation of dissolved inorganic carbon (DIC) in global surface ocean waters is crucial for understanding air-sea carbon dioxide (CO2) flux rates, ocean acidification, and climate change.
Ibrahim Shaik +9 more
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Ocean-color remote sensing through clouds
SPIE Proceedings, 2005Ocean-color remote sensing from space is currently limited to cloud-free areas. Consequently, the daily ocean coverage is 15-20%, and weekly products show no information in many areas. This limits considerably the utility of satellite ocean color observations for operational oceanography. Global coverage is required every three to five days in the open
Robert Frouin +3 more
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Statistical inference in remote sensing of ocean color
SPIE Proceedings, 2010An atmospheric correction algorithm, defined as the solution of a statistical inference problem, has been developed to process satellite ocean-color data into water reflectance. The definition of the inversion algorithm relies on an estimate of the distribution of the uncertainties on the top-of-atmosphere (TOA) reflectance, corrected for molecular ...
Robert Frouin, Bruno Pelletier
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Modeling of the atmospheric effects and its application to the remote sensing of ocean color
Applied Optics, 1983The effect of atmospheric scattering on ocean color measurements from space is considered. It is shown that modeling of the atmospheric effects can be improved by taking into account not only the direct but also the diffuse component of atmospheric transmittance and by a more precise formulation of the interaction between molecular and aerosol ...
D Tanre, M Herman
exaly +3 more sources
Isprs Journal of Photogrammetry and Remote Sensing, 2019
Accurate atmospheric correction is decisive for ocean color remote sensing applications. Near infrared (NIR)-based algorithm performs well for clear waters; while shortwave infrared (SWIR)-based algorithm can obtain good results for turbid waters ...
Huizeng Liu +5 more
semanticscholar +1 more source
Accurate atmospheric correction is decisive for ocean color remote sensing applications. Near infrared (NIR)-based algorithm performs well for clear waters; while shortwave infrared (SWIR)-based algorithm can obtain good results for turbid waters ...
Huizeng Liu +5 more
semanticscholar +1 more source
Multislit optimized spectrometer for ocean color remote sensing
SPIE Proceedings, 2012The National Research Council’s recommended NASA Geostationary Coastal and Air Pollution Events (GEO-CAPE) science mission’s purpose is to identify “human versus natural sources of aerosols and ozone precursors, track air pollution transport, and study the dynamics of coastal ecosystems, river plumes and tidal fronts.” To achieve these goals two ...
Tim Valle +6 more
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2013
The next time you fly over the ocean, look out the airplane window and observe what is beneath you. The water will appear dark blue when flying over the clean, deep, open ocean; greenish when closer to shore; and yellowish or almost dark brown in color closer to cities, where the water becomes dirty.
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The next time you fly over the ocean, look out the airplane window and observe what is beneath you. The water will appear dark blue when flying over the clean, deep, open ocean; greenish when closer to shore; and yellowish or almost dark brown in color closer to cities, where the water becomes dirty.
openaire +1 more source