Primary analysis of the ocean color remote sensing data of the HY-1B/COCTS

Xianqiang He; Yan Bai; Delu Pan; Qiankun Zhu; Fang Gong

doi:10.1117/12.804839

5 December 2008 Primary analysis of the ocean color remote sensing data of the HY-1B/COCTS

Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu, Fang Gong

Proceedings Volume 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters; 715003 (2008) https://doi.org/10.1117/12.804839
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia

Abstract

China had successfully launched her second ocean color satellite HY-1B on 11 Apr., 2007, which was the successor of the HY-1A satellite launched on 15 May, 2002. There were two sensors onboard HY-1B, named the Chinese Ocean Color and Temperature Scanner (COCTS) and the Coastal Zone Imager (CZI) respectively, and COCTS was the main sensor. COCTS had not only eight visible and near-infrared wave bands similar to the SeaWiFS, but also two more thermal infrared wave bands to measure the sea surface temperature. Therefore, COCTS had broad application potentiality, such as fishery resource protection and development, coastal monitoring and management and marine pollution monitoring. In this paper, the main characteristics of COCTS were described firstly. Then, using the crosscalibration method, the vicarious calibration of COCTS was carried out by the synchronous remote sensing data of SeaWiFS, and the results showed that COCTS had well linear responses for the visible light bands with the correlation coefficients more than 0.98, however, the performances of the near infrared wavelength bands were not good as visible light bands. Using the vicarious calibration result, the operational atmospheric correction (AC) algorithm of COCTS was developed based on the exact Rayleigh scattering look-up table (LUT), aerosol scattering LUT and atmosphere diffuse transmission LUT generated by the coupled ocean-atmospheric vector radiative transfer numerical model named PCOART. The AC algorithm had been validated by the simulated radiance data at the top-of-atmosphere, and the results showed the errors of the water-leaving reflectance retrieved by the AC algorithm were less than 0.0005, which met the requirement of the exactly atmospheric correction of ocean color remote sensing. Finally, the AC algorithm was applied to the HY-1B/COCTS remote sensing data, and the corresponding ocean color remote sensing products have been generated.

Citation Download Citation

Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu, and Fang Gong "Primary analysis of the ocean color remote sensing data of the HY-1B/COCTS", Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 715003 (5 December 2008); https://doi.org/10.1117/12.804839

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available