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Statistical inference in remote sensing of ocean color

SPIE Proceedings, 2010
An 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
openaire   +1 more source

A stochastic technique for remote sensing of ocean color

SPIE Proceedings, 2006
Remote 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
openaire   +1 more source

Ocean-color remote sensing through clouds

SPIE Proceedings, 2005
Ocean-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
openaire   +1 more source

Ocean Color Remote Sensing of Atypical Marine Optical Cases

IEEE Transactions on Geoscience and Remote Sensing, 2016
This study investigates how the number of data collected for algorithm development in typical case-1 waters and optically complex cases can affect the remote sensing of ocean color (OC) products. Marine conditions dominated by the colored dissolved organic matter (CDOM) and nonalgal particles are considered.
Davide D'Alimonte   +2 more
openaire   +1 more source

Noise and model uncertainties in ocean color remote sensing

SPIE Proceedings, 2009
The performance of ocean color inversion algorithms is strongly impacted by the various sources of uncertainties, including measurement noise, calibration noise, pre-processing and radiation transfer modeling uncertainties. In this work, an attempt at assessing the overall departure of theory from measurements is conducted based on an in-situ ...
Robert Frouin, Bruno Pelletier
openaire   +1 more source

Impact of sea ice on ocean color remote sensing

SPIE Proceedings, 2005
We study two types of contamination of Ocean Color data related to the presence of sea ice. The first type, referred to as the adjacency effect, is the contamination of the radiance from the intended target by photons scattered in atmosphere towards the sensor but originating from a bright object such as sea ice nearby the target.
Simon Belanger, Jens Ehn, Marcel Babin
openaire   +1 more source

Ocean Color Remote Sensing

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.
openaire   +1 more source

Field Radiometry and Ocean Color Remote Sensing

2010
Since the early 1980s, with the onset of missions for global mapping of marine biomass, accurate in-situ radiometric data has become a pressing need to support satellite ocean color applications. This work presents a brief introduction to in-situ marine optical radiometry through an overview of absolute calibration, measurement methods, uncertainties ...
Giuseppe Zibordi, Kenneth J. Voss
openaire   +1 more source

Multislit optimized spectrometer for ocean color remote sensing

SPIE Proceedings, 2012
The 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
openaire   +1 more source

Modeling of the atmospheric effects and its application to the remote sensing of ocean color

Applied Optics, 1983
The 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 ...
P Y, Deschamps, M, Herman, D, Tanre
openaire   +2 more sources

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