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Atmospheric correction for China''s coastal water color remote sensing
引用本文:Pan Delu,Mao Zhihua. Atmospheric correction for China''s coastal water color remote sensing[J]. 海洋学报(英文版), 2001, 20(3): 343-354
作者姓名:Pan Delu  Mao Zhihua
作者单位:PanDelu,Mao Zhihua 1. Laboratory of Ocean Dynamic Processes and Satellite Oceanography of State Oceanic Administration,Hangzhou 310012,China 2. Laboratory of Submarine Geosciences of State Oceanic Administration,Hangzhou 310012,China
基金项目:This research was supported by Project Y99 -15.
摘    要:INTRODUcrIONMeasurements from satellite have demonstrated that space sensor can be applied to measurethe sPectra of water-leaving radiance and proven that ocean color remote sensing is a powerfultcol for understanding oceanic, biological and physical processes. One sPecial ocean color satel-lite heaStar was successfully launched in August l997. It has brought to oceanOgraphers a wel-comed and improvd renewal of the ocean color of CZCS, VHRSR and arS. ffeaWiFS con-tributes much bette…

关 键 词:Atmospheric correction  water-leaving radiance
收稿时间:2001-02-19
修稿时间:2001-06-18

Atmospheric correction for China''s coastal water color remote sensing
Pan Delu and Mao Zhihua. Atmospheric correction for China''s coastal water color remote sensing[J]. Acta Oceanologica Sinica, 2001, 20(3): 343-354
Authors:Pan Delu and Mao Zhihua
Affiliation:1.Laboratory of Ocean Dynamic Processes and Satellite Oceanography of State Oceanic Administration, Hangzhou 310012, China;Laboratory of Submarine Geosciences of State Oceanic Administration, Hangzhou 310012, China2.Laboratory of Ocean Dynamic Processes and Satellite Oceanography of State Oceanic Administration, Hangzhou 310012, China
Abstract:The space satellite programs, such as CZCS/Nimbus - 7, VHRSR/FY - 1, OCFS/ ADEOS and SeaWiFS/SeaStar, have demonstrated and proven that remote sensing is a powerful tool for understanding the spatial and temporal ocean color distribution. In general, there are two main techni-cal keys in the processing ocean color satellite data. They are the atmospheric correction and the inver-sion of water-leaving radiance into water constituents (such as chlorophyll, suspended material and yel low substance) quantitatively. The SeaWiFS (sea-viewing wide field-of-view sensor) atmospheric correc-tion algorithm for China's coastal waters is discussed. First, the major advantages of SeaWiFS are introduced. Second, in view of the problems of the SeaDAS algorithm applying in China' s coastal waters, the local atmospheric correction algorithms are discussed and developed. Finally, the advantages of the local algorithms are presented by the compari-son of the results from two different algorithms.
Keywords:Atmospheric correction   water-leaving radiance
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