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21st Aerospace Sciences Meeting, 1983
Ocean Color Experiment (OCE) on the OSTA-1 mission acquired ocean images at several widely separated locations on the earth. Digital computer enhancement and band ratioing techniques were used to emphasize patterns of chlorophyll and sediment distribution in the Yellow Sea and, in one case, of bottom topography in the Great Bahama Bank.
H. KIM, H. VAN DER PIEPEN
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Ocean Color Experiment (OCE) on the OSTA-1 mission acquired ocean images at several widely separated locations on the earth. Digital computer enhancement and band ratioing techniques were used to emphasize patterns of chlorophyll and sediment distribution in the Yellow Sea and, in one case, of bottom topography in the Great Bahama Bank.
H. KIM, H. VAN DER PIEPEN
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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.
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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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Ocean color satellite of China
SPIE Proceedings, 1998The first Chinese Ocean Color Satellite (HaiYang-1) will be launched in 2000. The spacecraft will move and operate in a near sun-synchronous and near-polar orbit at altitude of 798 km. Installed on the satellite there are two sensors: one being 10 bands ocean color and temperature scanner with the spatial resolution of 1.1 km, the other being 4 bands ...
Jianqiang Liu, Zhouwen Yu
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Annual Periodicity in Ocean Color Observations Across Diverse Oceanic Regions
Applied OpticsThe annual periodicity present in spectral remote sensing reflectances (Rrs(λ)) derived from ocean color satellite data processed by NASA's Ocean Biology Processing Group has been shown to diverge from that observed in situ, with the source of the discrepancies remaining unresolved. Here we investigate such periodicity in reflectances derived from four
E. R. Blocker +7 more
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Ten-Bands Ocean Color and Temperature Scanner
2006 Joint 31st International Conference on Infrared Millimeter Waves and 14th International Conference on Teraherz Electronics, 2006China has developed ocean observation satellite named HY-1A. This satellite has been launched in 05/2002 with meteorological satellite FY-1D. 10 bands ocean color and temperature scanner and 4 bands CCD imager was mounted on HY-1A. In this paper we introduce the 10-bands ocean color and temperature scanner which has 10 bands from visible to thermal ...
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Radiometric considerations for ocean color remote sensors
Applied Optics, 1990A methodology for determination of the effects of radiometric noise on the performance of ocean color sensors is developed and applied to the Coastal Zone Color Scanner on Nimbus 7 and the Moderate Resolution Imaging Spectrometer planned for the Earth Observing System.
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Initial analysis of ocean color data from the ocean color and temperature scanner I Imagery analysis
Applied Optics, 1999The ocean color and temperature scanner (OCTS) collected global ocean color data from November 1996 to June 1997. Analyses of OCTS imagery indicate three features that impair scientific research uses: (1) band misalignments, (2) image striping, and (3) image noise.
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OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors
Remote Sensing of Environment, 2021Yongzhen Fan, Nan Chen, Jae-Hyun Ahn
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