POSTER SESSION 1
15:30–17:30, Monday, September 14
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
ABSTRACT 1403 | POSTER 129
ANALYSIS OF REGIONAL OCEAN COLOR CHARACTERISTICS AND QUALITY ASSESSMENT OF GOCI-II PRODUCTS USING IN-SITU OBSERVATIONS AROUND THE KOREAN PENINSULA
Waters around the Korean Peninsula are optically diverse, encompassing highly turbid coastal waters in the Yellow Sea, relatively clear waters in the East Sea, and complex water-mass characteristics between coastal and offshore regions. These characteristics provide important conditions for evaluating the accuracy and applicability of ocean color products from the Geostationary Ocean Color Imager-II (GOCI-II) onboard GEO-KOMPSAT-2B.
In this study, the quality of GOCI-II products was assessed using in situ observations collected in waters around the Korean Peninsula from 2022 to 2025, including optical measurements obtained with instruments such as C-PrOPS and RAMSES, and laboratory-analyzed water sample data derived from filtered seawater samples. The observed parameters include remote-sensing reflectance, absorption and backscattering coefficients, chlorophyll-a concentration, and total suspended matter. The dataset was preprocessed and quality-controlled according to standardized observation and analysis protocols. For selected parameters, advanced observation and analytical instruments, such as C-PrOPS and HPLC, were introduced to obtain more precise in situ data.
Using the multi-year in situ ocean color dataset, this study analyzed ocean color characteristics and parameter variability in waters around the Korean Peninsula. Quality assessment of GOCI-II Level-2 products was then conducted using match-up datasets constructed between GOCI-II products and in situ observations. Based on these results, the accuracy of GOCI-II ocean color products can be evaluated, and directions for product improvement can be suggested. Furthermore, the dataset and validation results are expected to support the development and refinement of ocean color product algorithms for future satellite missions, contributing to improved reliability of satellite products.
Funding: This research was supported by the Korea Hydrographic and Oceanographic Agency (KHOA) through the project “Advancement of the Marine Satellite Information Quality Management System.”
HanBit Lee, UST21, [email protected], https://orcid.org/0009-0005-4425-4904
Na-Hyun Kim, Underwater Survey Technology 21 lnc., [email protected]
Sang Heon Lee, Underwater Survey Technology 21 lnc., [email protected]
Huiwon Lee, Underwater Survey Technology 21 lnc., [email protected]
Mun-Ki Choi, Underwater Survey Technology 21 lnc., [email protected]
Hee Yoon Park, Korea Hydrographic and Oceanographic Agency, [email protected]
Jeong-ik Lee, Korea Hydrographic and Oceanographic Agency, [email protected]
Tae-Ho Kim, Underwater Survey Technology 21 lnc., [email protected]
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
