Progress in Current Research and Applications of the Geostationary Ocean Color Imager Series (GOCI and GOCI-II): A Bibliometric Analysis
Since the launch of the Geostationary Ocean Color Imager (GOCI), the world' s first geostationary ocean color satellite, in 2010, and its successor, GOCI-II, in 2020, these satellites have made substantial contributions to advancing ocean color monitoring through hourly observations, enabling real-time environmental surveillance.The GOCI series has advanced ocean color satellite missions from the research level to the operational level, supporting a range of applications in marine and atmospheric monitoring.In this study, we systematically collected and analyzed 578 research papers related to GOCI and GOCI-II published from 2005 to 2023, providing insights into academic achievements, scholarly collaborations, and evolving research trends.The number of published papers has steadily increased each year.These studies were classified into four major categories: data processing (26%), ocean (52%), atmosphere (13%), and land (9%).International papers predominantly focused on ocean studies (60%), while domestic papers emphasized data processing (42%), with ocean studies accounting for approximately 35%.Annual trends revealed that data processing studies dominated until 2011, when research on ocean, and atmosphere/land applications increased.Moreover, diurnal information was utilized in 27% of the studies, demonstrating its potential for monitoring short-term changes.The application of artificial intelligence in GOCI-related research grew from 20% in 2016 to over 50% by 2022, indicating a growing trend in the use of artificial intelligence for processing large datasets.
Authors
- Donguk Lee (ORCID: https://orcid.org/0009-0002-0835-2943)
- M. Kim (ORCID: https://orcid.org/0009-0005-7201-0122)
- Joo‐Hyung Ryu (ORCID: https://orcid.org/0000-0003-4514-5214)
Institutions
- Korea Institute of Ocean Science and Technology (KR)
- Korea University of Science and Technology (KR)
Publication Details
- Journal
- Korean Journal of Remote Sensing
- Published
- 2024-10-16
- DOI
- https://doi.org/10.7780/kjrs.2024.40.5.2.4
- Citations
- 4
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 1.51
Funders
- China-Korea Joint Ocean Research Center
- Ministry of Oceans and Fisheries
- Korea Institute of Marine Science and Technology promotion