GOCI-II atmospheric correction algorithm and its initial validation
- GOCI-II atmospheric correction algorithm and its initial validation
- Ahn, Jae Hyun; Kim, Kwang Seok; Lee, Eun Kyung; Bae, Su Jung; Lee, Kyeong Sang; Moon, Jeong Eon; Han, Tai Hyun; Park, Young Je
- KIOST Author(s)
- Ahn, Jae Hyun(안재현); Kim, Kwang Seok(김광석); Lee, Eun Kyung(이은경); Bae, Su Jung(배수정); Lee, Kyeong-Sang(이경상); Moon, Jeong Eon(문정언); Han, Tai Hyun(한태현); Park, Young Je(박영제)
- 안재현; 김광석; 이은경; 배수정; 이경상; 문정언; 한태현; 박영제
- We describe the atmospheric correction algorithm and its initial validation results for the second Geostationary Ocean Color Imager (GOCI-II), which is the successor to the Geostationary Ocean Color Imager (GOCI). Atmospheric correction is a fundamental process in ocean color remote sensing that derives the water reflectance at the sea surface from the top-of-atmosphere. The GOCI-II atmospheric correction method is theoretically based on the previous GOCI atmospheric correction, then partially improved accuracy for turbid waters with the GOCI-II's two additional 620 and 709 nm bands. The GOCI-II's vicarious gains are adjusted with the remote-sensing reflectance dataset derived from the VIIRS dataset to enhance the accuracy over clear waters. The match-up showed an acceptable result, with the mean absolute percentage errors are fall within 5% in blue bands. It is supposed that part of the deviation over case-II waters arose from a lack of near-infrared vicarious calibration. We expect the GOCI-II atmospheric correction algorithm to be improved and updated regularly to the GOCI-II data processing system through continuous calibration and validation activities.
- The 9th Asian/18th Korea-Japan Workshop on Ocean Color 2021, 2021
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