POSTER Session 3

GOCI SERIES OCEAN COLOR DATA: CALIBRATION, CHLOROPHYLL-A ALGORITHM, AND CLIMATE APPLICATION

The world’s first geostationary ocean color satellite series (GOCI and GOCI-II) has been operating for about 15 years. The GOCI series ocean color data provide the unique, novel capability to observe aquatic ecosystems of diurnal, day-to-day, seasonal, and interannual variations. This paper will show the impacts of on-orbit solar calibration and dynamically adjusted chlorophyll-a algorithm on multi-year GOCI series ocean color data. The study first focuses on enhancing GOCI-II sensor calibration through on-orbit radiometric solar calibration to account for sensor degradation effects. Two sets of initial and refined GOCI-II sensor calibration data (Level 1B data) were used to reprocess key ocean color products, such as remote sensing reflectances and Chlorophyll-a concentration, for level 2 and 3 data analyzes. In East Asian aquatic environments, traditional band-ratio-based chlorophyll-a algorithms often face significant uncertainties. This is primarily due to the complex oceanic and atmospheric optical properties that influence sunlight scattering and absorption. Recognizing this challenge, our study presents the development of a machine learning-based chlorophyll-a algorithm. This algorithm is specifically tailored to account for the diverse atmospheric and oceanic optical conditions at each pixel, thereby enhancing the reliability of multi-year ocean color data in this region.

Myung-Sook Park, Korea Institute of Ocean Science and Technology (KIOST), Republic of Korea, mspark@kiost.ac.kr, https://orcid.org/0000-0002-7629-3511

Minsang Kim, Korea Institute of Ocean Science and Technology (KIOST), Republic of Korea, mskinn@kiost.ac.kr

Sun-Ju Lee, Korea Institute of Ocean Science and Technology (KIOST), Republic of Korea, sunjulee@kiost.ac.kr

Jaehyun Ahn, Korea Institute of Ocean Science and Technology (KIOST), Republic of Korea, brtnt@kiost.ac.kr

Jeong-Eon Moon, Korea Institute of Ocean Science and Technology (KIOST), Republic of Korea, jemoon@kiost.ac.kr

Jong-Kuk Choi, Korea Institute of Ocean Science and Technology (KIOST), Republic of Korea, jkchoi@kiost.ac.kr

Code of Conduct
Privacy Policy