Evaluation of ocean color products from Korean Geostationary Ocean Color Imager (GOCI) in Jiaozhou Bay and Qingdao coastal area

Qian Yang; Libin Du; Xiaoyan Liu; Lianbo Hu; Shuguo Chen; Yan Liu; Zhaoyu Wang; Zhangjun Wang; Yan Zhou

doi:10.1117/12.2069114

18 December 2014 Evaluation of ocean color products from Korean Geostationary Ocean Color Imager (GOCI) in Jiaozhou Bay and Qingdao coastal area

Qian Yang, Libin Du, Xiaoyan Liu, Lianbo Hu, Shuguo Chen, Yan Liu, Zhaoyu Wang, Zhangjun Wang, Yan Zhou

Author Affiliations +

Proceedings Volume 9261, Ocean Remote Sensing and Monitoring from Space; 926118 (2014) https://doi.org/10.1117/12.2069114
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

The Geostationary Ocean Color Imager (GOCI) is the first geostationary ocean color satellite sensor launched in June 2010 on board the South Korean Communication, Ocean and Meteorological Satellite (COMS). The GOCI has a local coverage area of the western Pacific Ocean including Bohai, Yellow Sea and East Sea of China. Jiaozhou Bay is a semienclosed basin in the western part of the Yellow Sea, which is an important representative of gulf ecosystem in the North Temperate Zone. The GOCI data can provide useful information with an-hour temporal and 500-m spatial resolutions for monitoring oceanic and atmospheric process in Jiaozhou Bay. The performance of the atmospheric and optical algorithms of GOCI was evaluated by comparing with the simultaneous data from MODIS/Aqua. The match-up products include remote sensing reflectance (R_rs) and chlorophyll-a concentration ([chl-a]) and they were derived by GDPS software for GOCI data and SeaDAS software for MODIS and GOCI data, respectively, using default atmospheric correction and bio-optical algorithms. Our analyses show that GOCI products (i.e., R_rs(490), R_rs(555) and [chl-a]) are compared well with MODIS products. GOCI shows a potential capability of oceanography investigations in Jiaozhou Bay and Qingdao coastal area. The consistency of R_rsbetween GOCI and MODIS is relatively good but significant difference was observed in [chl-a] especially in Jiaozhou Bay. Moreover, it is suggested to improve GOCI standard atmospheric correction algorithm for high turbid water and cloud detection to increase data utilization.

Citation Download Citation

Qian Yang, Libin Du, Xiaoyan Liu, Lianbo Hu, Shuguo Chen, Yan Liu, Zhaoyu Wang, Zhangjun Wang, and Yan Zhou "Evaluation of ocean color products from Korean Geostationary Ocean Color Imager (GOCI) in Jiaozhou Bay and Qingdao coastal area", Proc. SPIE 9261, Ocean Remote Sensing and Monitoring from Space, 926118 (18 December 2014); https://doi.org/10.1117/12.2069114

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