Share Email Print
cover

Proceedings Paper

Evaluation of ocean color products from Korean Geostationary Ocean Color Imager (GOCI) in Jiaozhou Bay and Qingdao coastal area
Author(s): Qian Yang; Libin Du; Xiaoyan Liu; Lianbo Hu; Shuguo Chen; Yan Liu; Zhaoyu Wang; Zhangjun Wang; Yan Zhou
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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 (Rrs) 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., Rrs(490), Rrs(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 Rrs between 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.

Paper Details

Date Published: 18 December 2014
PDF: 10 pages
Proc. SPIE 9261, Ocean Remote Sensing and Monitoring from Space, 926118 (18 December 2014); doi: 10.1117/12.2069114
Show Author Affiliations
Qian Yang, Institute of Oceanographic Instrumentation (China)
Libin Du, Institute of Oceanographic Instrumentation (China)
Xiaoyan Liu, Institute of Oceanographic Instrumentation (China)
Lianbo Hu, Ocean Univ. of China (China)
Shuguo Chen, Ocean Univ. of China (China)
Yan Liu, Institute of Oceanographic Instrumentation (China)
Zhaoyu Wang, Institute of Oceanographic Instrumentation (China)
Zhangjun Wang, Institute of Oceanographic Instrumentation (China)
Yan Zhou, Institute of Oceanographic Instrumentation (China)


Published in SPIE Proceedings Vol. 9261:
Ocean Remote Sensing and Monitoring from Space
Robert J. Frouin; Delu Pan; Hiroshi Murakami, Editor(s)

© SPIE. Terms of Use
Back to Top