Assessment of GOCI Atmospheric Correction for Observing a Diurnal Variation of Ocean Color

Title
Assessment of GOCI Atmospheric Correction for Observing a Diurnal Variation of Ocean Color
Author(s)
안재현; 박영제
KIOST Author(s)
Ahn, Jae Hyun(안재현)Park, Young Je(박영제)
Publication Year
2017-12-15
Abstract
The Geostationary Ocean Color Imager (GOCI) observes the Northeast Asia ocean environment including the Korean Peninsula, and it provides hourly diurnal ocean color data from the geostationary orbit. Atmospheric correction is an essential process for the satellite ocean color remote sensing that determines the reliability of the data quality. The stability of the atmospheric correction for various solar angles is further required for the diurnal observation, especially. Small input errors in the atmospheric correction process can significantly cause the diurnal instability of result accuracy.In the study, we first analyze that how the GOCI atmospheric correction is sensitive to the uncertainties along various solar angles through simulations. Various atmospheric radiances regarding directional effect is simulated by radiative transfer code to see the sensitivity. Then the uncertainty of remote-sensing reflectance (Rrs) resulted by the atmospheric correction is compared with the in situ diurnal variabilities of Rrs to what extent GOCI detect the diurnal changes in the marine environment.rocess for the satellite ocean color remote sensing that determines the reliability of the data quality. The stability of the atmospheric correction for various solar angles is further required for the diurnal observation, especially. Small input errors in the atmospheric correction process can significantly cause the diurnal instability of result accuracy.In the study, we first analyze that how the GOCI atmospheric correction is sensitive to the uncertainties along various solar angles through simulations. Various atmospheric radiances regarding directional effect is simulated by radiative transfer code to see the sensitivity. Then the uncertainty of remote-sensing reflectance (Rrs) resulted by the atmospheric correction is compared with the in situ diurnal variabilities of Rrs to what extent GOCI detect the diurnal changes in the marine environment.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23509
Bibliographic Citation
Korea-Japan (ASIA) Workshop on Ocean Color Remote Sensing, pp.33, 2017
Publisher
한국해양과학기술원, 나고야대학
Type
Conference
Language
English
Publisher
한국해양과학기술원, 나고야대학
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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