Results 211 to 220 of about 60,400 (258)
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Optical Engineering, 1977
Remote sensing of ocean color offers the potential of monitoring some of the characteristics of the upper layer of the ocean, on a global basis, by use of sensors on satellites or aircraft. Color sensing has been shown to be of use for parameters such as chlorophyll and sediment concentration and the location and motion of pollutants due to ocean ...
W. A. Hovis, K. C. Leung
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Remote sensing of ocean color offers the potential of monitoring some of the characteristics of the upper layer of the ocean, on a global basis, by use of sensors on satellites or aircraft. Color sensing has been shown to be of use for parameters such as chlorophyll and sediment concentration and the location and motion of pollutants due to ocean ...
W. A. Hovis, K. C. Leung
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2012
The oceans cover over 70% of the earth’s surface and the life inhabiting the oceans play an important role in shaping the earth’s climate. Phytoplankton, the microscopic organisms in the surface ocean, are responsible for half of the photosynthesis on the planet.
Heidi M. Dierssen, Kaylan Randolph
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The oceans cover over 70% of the earth’s surface and the life inhabiting the oceans play an important role in shaping the earth’s climate. Phytoplankton, the microscopic organisms in the surface ocean, are responsible for half of the photosynthesis on the planet.
Heidi M. Dierssen, Kaylan Randolph
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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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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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Performance of COCTS in Global Ocean Color Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, 2021Ocean color satellite sensors have become an indispensable component in the Earth Observing System, in which the use of multiple ocean color satellite sensors not only improves the spatiotemporal coverage of the global oceans but also maintains the continuity of the data products for long-term monitoring.
Shuguo Chen +9 more
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Stray light and ocean-color remote sensing
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004Instruments used to make radiometric measurements of the ocean are typically calibrated against incandescent sources with a spectral distribution that peaks in the near-infrared while the radiant flux from the ocean peaks in the blue to green spectral region.
S.W. Brown +4 more
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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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Ocean color remote sensing without explicit aerosol correction
SPIE Proceedings, 2003After correction of molecular scattering satellite radiance in the visible and near infrared may be linearly combined to retrieve surface chlorophyll abundance directly without explicit correction of aerosol scattering and absorption. The coefficients minimize the perturbing effects, which are modeled by a polynomial, and do not depend on geometry. The
Robert J. Frouin +2 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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