Inverse algorithms of ocean constituents for HY-1/CCD broadband data

MA Chao-fei; JIANG Xing-wei; TANG Jun-wu; WANG Xiao-mei; LI Tong-ji; HUANG Hai-jun; REN Jing-ping

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Article Navigation > Haiyang Xuebao > 2005 > 27(4): 38-44

MA Chao-fei, JIANG Xing-wei, TANG Jun-wu, WANG Xiao-mei, LI Tong-ji, HUANG Hai-jun, REN Jing-ping. Inverse algorithms of ocean constituents for HY-1/CCD broadband data[J]. Haiyang Xuebao, 2005, 27(4): 38-44.

Citation:

MA Chao-fei, JIANG Xing-wei, TANG Jun-wu, WANG Xiao-mei, LI Tong-ji, HUANG Hai-jun, REN Jing-ping. Inverse algorithms of ocean constituents for HY-1/CCD broadband data[J]. Haiyang Xuebao, 2005, 27(4): 38-44.

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Inverse algorithms of ocean constituents for HY-1/CCD broadband data

1.
National Satellite Ocean Application Service, Beijing 100081, China
2.
National Center of Ocean Technology, Tianjin 300111, China
3.
Institute of Oceanology, Chinese Academy of Sciences, Qiandao 266071, China

Received Date: 2004-02-16
Rev Recd Date: 2004-10-18

Abstract

Abstract

Inverse algorithms of ocean constituents for 4 bands HY-1/CCD imager were developed using in-situ data which acquired in the Huanghai Sea and the East China Sea in the spring time of 2003.There trieved ocean constituents include total suspended matter(TSM),suspended sediment(SS) and chlorophylla(Chl a) of surface water,broadband characterist ics of CCD baffled the inversion of colored dissolved organic matter(CDOM).In-situ remote sensing reflectance spectra were acquired using ASD spect roradiometer,standard fluorometric method was used for extracting Chl a concentration in-situ,and filt erpad samples were brought back to the laboratory for analysis of TSM and SS.For these constituents retrieval,correlation coefficient values are over 0.88 and average relative error values are under 40%.The error sensitivity of the inverse algorithms is also tested,it shows that the inverse algorithms of TSM,SS and Chl a concentration in the middle low turbid water can meet daily operation,but it needs furt her research for the retrieval algorithm of Chl a concentration in the high turbid water.
- H-Y1/CCD,
- inverse algorithm,
- total suspended matter,
- suspended sand,
- chlorophyll a

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References(18)

References

SOO Chin Liew, AIK Song Chia, KIM Hwa Lim, et al. Modeling the reflectance spectra of tropical coastal waters[A]. SPIE Proc 4488B-Ocean Color Remote Sensing and Applications:Part of SPIE's International Symposium on Optical Science and Technology:Vol.4 488[C]. San Diego, California, USA. 2001. 248-255.

SATHYENDRANATH S, PRIEUR L, MOREL A. A three component model of ocean color and its application to remote sensing of phytoplankton pigments in coastal waters [J]. Int J Remote Sens, 1989, 10:1 373-1 394.

GORDON H R. MODIS Normalized Water-leaving Radiance Algorithm Theoretical Basic Document:version 4[M]. NASA Contract Number NAS503163,1999.

O'REILLY J E, MARITORENA S, MITCHELL B G, et al. Ocean color chlorophyll algorithms for SeaWiFS [J]. J Geophys Res,1998, 103C:24 937-24 953.

HOVIS W A. The Nimbus-7 coastal zone color scanner [J]. Oceanography from Space, 1981, 22:215-226.

MARKHAM B L, BARKER J L. Spectral characterization of the LANDSAT thematic mapper sensor [J]. International Journal of Remote Sensing, 1985, 6:697-716.

TASSAN S. Evaluation of the potential of the thematic mapper for marine application [J]. International Journal of Remote Sensing,1987, 8:1 455-1 487.

GORDON H R, MOREL A. Remote assessment of ocean color for interpretation of satellite visible imagery:a review [A]. Lecture Notes on Coastal and Estuarine Studies[M]. New York:Springer-verlag, 1983.

FARGION G S, MUELLER J L. Ocean Optics Protocols for Satellite Ocean Color Sensor Validation:Revision 2[M]. Maryland:Goddard Space Flight Space Center, 2000.

唐军武,王晓梅,宋庆君,等.黄东海二类水体水色要素统计反演模式[J].海洋科学进展,2004,22(增刊):1-7.

唐军武,田国良,汪小勇,等.水体光谱测量与分析:Ⅰ.水面以上测量法[J].遥感学报,2004,8(1):37-44.

TANG Jun-wu, WANG Xiao-mei, SONG Qing-jun, et al. The statistic inversion algorithms of water constituents for the Huanghai Sea and the East China Sea [J]. Acta Oceanologica Sinica, 2004, 23(4):617-616.

SATHYENDRANATH S. Detection of phytoplankton pigments from ocean colour:improved algorithms[J]. Appl Optics, 1994, 3:1081-1 089.

DOERFFER F, FISCHER J. Concentrations of chlorophyll, suspended matter, and gelbstoff in case waters derived from satellite coastal zone scanner data with inverse modeling methods[J]. J Geophys Res, 1994, 99:7 457-7 466.

MOBLEY C D, GENTILI B, GORDON H R, et al. Comparison of numerical models for computing underwater light fields [J]. Appl Optics, 1999, 38:3 831-3 843.

AHN Yu-Hwan, MOON Jeong-Eun, SONIA Gallegos. Development of suspended particulate matter algorithms for ocean color remote sensing [J]. Korean J of Remote Sens, 2001, 17(4):285-295.

马超飞,唐军武,王其茂,等.黄东海区总悬浮物对HY-1 CCD数据叶绿素浓度反演的影响[J].海洋科学进展,2004,22(增刊):115-120.

唐军武.模块化二类水体相关遥感信息提取技术.国家"863"计划资源环境领域海洋监测技术主题课题中期评估工作报告(内部资料),2003.

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