POSTER Session 1

Validation and intercomparison of Rrs products for GOCI-II and ocean color sensors

Rrs, remote sensing reflectance, is primarily used for other product calculations, so it is a major product of satellite ocean color data and requires a lot of effort to maintain high accuracy. Due to this necessity, GOCI-II Rrs data was verified using lots of in-situ measurements. We implemented several field campaigns to obtain the hyperspectral radiometry measurements using RAMSES/TriOS for above-water radiometry and HyperPro-II/Sea-Bird Scientific for in-water radiometry. The AERONET-OC(Aerosol Robotic Network-Ocean Color) observations installed at the Sochongcho Ocean Research Station were also used. The field measurements were conducted in two ways: using a fixed observing station and using moving vehicles. In-situ measurements at fixed observing stations were implemented at Sochongcho Ocean Research Station located in the northern part of the Yellow Sea. Other in-situ measurements using moving vehicles were implemented at the Yellow Sea and East Sea showing the typical Case-II and Case-I water optical characteristics, respectively. The Rrs were calculated depending on the method of field observation. For in-water radiometry data, the sky radiance reflection was corrected as a function of the solar elevation(θs) and sun-sensor relative azimuth angle(φs). Totally 100 match-up data were obtained for the above-water measurements, and 82 match-up data were acquired for the in-water measurements. The overall statistical results were shown for the correlation coefficient of 0.91 and the mean relative errors of 6.54% in VIS bands.

Jee-Eun Min, Underwater Survey Technology 21, Republic of Korea, https://orcid.org/0000-0001-6041-975X

Hyun-Duck Jeon, Underwater Survey Technology 21, Republic of Korea

Rincheon Jeon, Underwater Survey Technology 21, Republic of Korea

Nahyeon Kim, Underwater Survey Technology 21, Republic of Korea

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