Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI

Kwon Ho Lee; Young J. Kim; Gwan C. Kim; Man Sing Wong; Yu H. Ahn

doi:10.1117/12.869533

Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI

Kwon Ho Lee, Young J. Kim, Gwan C. Kim, Man Sing Wong, Yu H. Ahn

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

The Geostationary Ocean Color Imager (GOCI) on board the Communication Ocean Meteorological Satellite (COMS) requires accurate atmospheric correction for the purpose of qualified ocean remote sensing. Since its eight bands are affected by atmospheric constituents such as gases, molecules and atmospheric aerosols, understanding of aerosolradiation interactions is needed. Aerosol optical properties based on sun-photometer measurements are used to analysis aerosol optical thickness (AOT) under various aerosol type and loadings. It is found that the choice of aerosol type makes little different in AOT retrieval for AOT<0.2. These results will be useful for aerosol retrieval of COMS/GOCI data processing.

Original language	English
Title of host publication	Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications
Volume	7861
DOIs	https://doi.org/10.1117/12.869533
Publication status	Published - 1 Dec 2010
Event	Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications - Incheon, Korea, Republic of Duration: 12 Oct 2010 → 14 Oct 2010

Conference

Conference	Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications
Country	Korea, Republic of
City	Incheon
Period	12/10/10 → 14/10/10

Keywords

Aerosol
AOT
COMS
GOCI

ASJC Scopus subject areas

Applied Mathematics
Computer Science Applications
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Condensed Matter Physics

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10.1117/12.869533

Cite this

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title = "Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI",

abstract = "The Geostationary Ocean Color Imager (GOCI) on board the Communication Ocean Meteorological Satellite (COMS) requires accurate atmospheric correction for the purpose of qualified ocean remote sensing. Since its eight bands are affected by atmospheric constituents such as gases, molecules and atmospheric aerosols, understanding of aerosolradiation interactions is needed. Aerosol optical properties based on sun-photometer measurements are used to analysis aerosol optical thickness (AOT) under various aerosol type and loadings. It is found that the choice of aerosol type makes little different in AOT retrieval for AOT<0.2. These results will be useful for aerosol retrieval of COMS/GOCI data processing.",

keywords = "Aerosol, AOT, COMS, GOCI",

author = "Lee, {Kwon Ho} and Kim, {Young J.} and Kim, {Gwan C.} and Wong, {Man Sing} and Ahn, {Yu H.}",

year = "2010",

month = dec,

day = "1",

doi = "10.1117/12.869533",

language = "English",

isbn = "9780819483911",

volume = "7861",

booktitle = "Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications",

note = "Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications ; Conference date: 12-10-2010 Through 14-10-2010",

}

Lee, KH, Kim, YJ, Kim, GC, Wong, MS & Ahn, YH 2010, Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI. in Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications. vol. 7861, 78610D, Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications, Incheon, Korea, Republic of, 12/10/10. https://doi.org/10.1117/12.869533

Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI. / Lee, Kwon Ho; Kim, Young J.; Kim, Gwan C.; Wong, Man Sing; Ahn, Yu H.

Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications. Vol. 7861 2010. 78610D.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI

AU - Lee, Kwon Ho

AU - Kim, Young J.

AU - Kim, Gwan C.

AU - Wong, Man Sing

AU - Ahn, Yu H.

PY - 2010/12/1

Y1 - 2010/12/1

N2 - The Geostationary Ocean Color Imager (GOCI) on board the Communication Ocean Meteorological Satellite (COMS) requires accurate atmospheric correction for the purpose of qualified ocean remote sensing. Since its eight bands are affected by atmospheric constituents such as gases, molecules and atmospheric aerosols, understanding of aerosolradiation interactions is needed. Aerosol optical properties based on sun-photometer measurements are used to analysis aerosol optical thickness (AOT) under various aerosol type and loadings. It is found that the choice of aerosol type makes little different in AOT retrieval for AOT<0.2. These results will be useful for aerosol retrieval of COMS/GOCI data processing.

AB - The Geostationary Ocean Color Imager (GOCI) on board the Communication Ocean Meteorological Satellite (COMS) requires accurate atmospheric correction for the purpose of qualified ocean remote sensing. Since its eight bands are affected by atmospheric constituents such as gases, molecules and atmospheric aerosols, understanding of aerosolradiation interactions is needed. Aerosol optical properties based on sun-photometer measurements are used to analysis aerosol optical thickness (AOT) under various aerosol type and loadings. It is found that the choice of aerosol type makes little different in AOT retrieval for AOT<0.2. These results will be useful for aerosol retrieval of COMS/GOCI data processing.

KW - Aerosol

KW - AOT

KW - COMS

KW - GOCI

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U2 - 10.1117/12.869533

DO - 10.1117/12.869533

M3 - Conference article published in proceeding or book

SN - 9780819483911

VL - 7861

BT - Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications

T2 - Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications

Y2 - 12 October 2010 through 14 October 2010

ER -

Remote sensing of atmospheric aerosol and ocean color for the COMS/GOCI

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Keywords

ASJC Scopus subject areas

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