The atmospheric correction algorithm of ROCSAT-1/OCI data

Shih Jen Huang; Gin Rong Liu; Tang Huang Lin; Tsung Hua Kuo

doi:10.1016/S0964-2749(02)80232-3

The atmospheric correction algorithm of ROCSAT-1/OCI data

Shih Jen Huang, Gin Rong Liu, Tang Huang Lin, Tsung Hua Kuo

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, the Normalized Difference Vegetation Index (NDVI) and the band ratio of the total radiance at channels 670nm and 865nm were used to determine the sea surface albedo. The air mass character parameter and aerosol optical depth were then assessed by a simulated process. The pixel-by-pixel aerosol scattering radiance and water-leaving radiance are the main goals to retrieve in this study. As the Ocean Color Imager (OCI) is similar to the Sea-viewing Wide Field-of-view Sensor (Sea WiFS), a set of images were acquired both by Sea WiFS and OCI at the same temporal and spatial parameters. Their respective models-SeaWiFS Data Analysis System (SeaDAS) and Ocean Color Imager TRANsmittance / radiance computation code (OCITRAN) were employed to retrieve the water-leaving radiance so we could compare and evaluate the accuracy of OCITRAN. The results showed a high correlation (R>0.76) between the two models, proving that the OCITRAN algorithm established by this study is adaptable.

Original language	English
Pages (from-to)	295-300
Number of pages	6
Journal	COSPAR Colloquia Series
Volume	12
Issue number	C
DOIs	https://doi.org/10.1016/S0964-2749(02)80232-3
State	Published - 2002

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10.1016/S0964-2749(02)80232-3

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title = "The atmospheric correction algorithm of ROCSAT-1/OCI data",

abstract = "In this study, the Normalized Difference Vegetation Index (NDVI) and the band ratio of the total radiance at channels 670nm and 865nm were used to determine the sea surface albedo. The air mass character parameter and aerosol optical depth were then assessed by a simulated process. The pixel-by-pixel aerosol scattering radiance and water-leaving radiance are the main goals to retrieve in this study. As the Ocean Color Imager (OCI) is similar to the Sea-viewing Wide Field-of-view Sensor (Sea WiFS), a set of images were acquired both by Sea WiFS and OCI at the same temporal and spatial parameters. Their respective models-SeaWiFS Data Analysis System (SeaDAS) and Ocean Color Imager TRANsmittance / radiance computation code (OCITRAN) were employed to retrieve the water-leaving radiance so we could compare and evaluate the accuracy of OCITRAN. The results showed a high correlation (R>0.76) between the two models, proving that the OCITRAN algorithm established by this study is adaptable.",

author = "Huang, {Shih Jen} and Liu, {Gin Rong} and Lin, {Tang Huang} and Kuo, {Tsung Hua}",

note = "Funding Information: The OCI data used in this study were provided by the ROCSAT-1 Science Data Distribution Center of Ocean Color Imager, supported by the National Space Program Office (NSPO) of the National Science Council (NSC), and operated by the National Taiwan Ocean University. The research is supported by the NSPO under the NSC of the ROC under grant NSC89-NSPO-A-OCI-019-01-02. In addition, we would like to extend our special thanks to Mr. Chih-kang (Charlie) Liang for his careful proofreading in improving the English writing.",

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T1 - The atmospheric correction algorithm of ROCSAT-1/OCI data

AU - Huang, Shih Jen

AU - Liu, Gin Rong

AU - Lin, Tang Huang

AU - Kuo, Tsung Hua

N1 - Funding Information: The OCI data used in this study were provided by the ROCSAT-1 Science Data Distribution Center of Ocean Color Imager, supported by the National Space Program Office (NSPO) of the National Science Council (NSC), and operated by the National Taiwan Ocean University. The research is supported by the NSPO under the NSC of the ROC under grant NSC89-NSPO-A-OCI-019-01-02. In addition, we would like to extend our special thanks to Mr. Chih-kang (Charlie) Liang for his careful proofreading in improving the English writing.

PY - 2002

Y1 - 2002

N2 - In this study, the Normalized Difference Vegetation Index (NDVI) and the band ratio of the total radiance at channels 670nm and 865nm were used to determine the sea surface albedo. The air mass character parameter and aerosol optical depth were then assessed by a simulated process. The pixel-by-pixel aerosol scattering radiance and water-leaving radiance are the main goals to retrieve in this study. As the Ocean Color Imager (OCI) is similar to the Sea-viewing Wide Field-of-view Sensor (Sea WiFS), a set of images were acquired both by Sea WiFS and OCI at the same temporal and spatial parameters. Their respective models-SeaWiFS Data Analysis System (SeaDAS) and Ocean Color Imager TRANsmittance / radiance computation code (OCITRAN) were employed to retrieve the water-leaving radiance so we could compare and evaluate the accuracy of OCITRAN. The results showed a high correlation (R>0.76) between the two models, proving that the OCITRAN algorithm established by this study is adaptable.

AB - In this study, the Normalized Difference Vegetation Index (NDVI) and the band ratio of the total radiance at channels 670nm and 865nm were used to determine the sea surface albedo. The air mass character parameter and aerosol optical depth were then assessed by a simulated process. The pixel-by-pixel aerosol scattering radiance and water-leaving radiance are the main goals to retrieve in this study. As the Ocean Color Imager (OCI) is similar to the Sea-viewing Wide Field-of-view Sensor (Sea WiFS), a set of images were acquired both by Sea WiFS and OCI at the same temporal and spatial parameters. Their respective models-SeaWiFS Data Analysis System (SeaDAS) and Ocean Color Imager TRANsmittance / radiance computation code (OCITRAN) were employed to retrieve the water-leaving radiance so we could compare and evaluate the accuracy of OCITRAN. The results showed a high correlation (R>0.76) between the two models, proving that the OCITRAN algorithm established by this study is adaptable.

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The atmospheric correction algorithm of ROCSAT-1/OCI data

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