Evaluation of GOCI atmospheric correction regarding the diurnal observation of ocean color variation

Title
Evaluation of GOCI atmospheric correction regarding the diurnal observation of ocean color variation
Author(s)
안재현; 박영제
KIOST Author(s)
Ahn, Jae Hyun(안재현)Park, Young Je(박영제)
Publication Year
2017-11-08
Abstract
The Geostationary Ocean Color Imager (GOCI) observes the Northeast Asia ocean environment and it can provide diurnal ocean color image from the geostationary orbit. The process of atmospheric correction for ocean color data acquired from satellite plays an important role in determining the quality of the derived ocean environmental products. For the diurnal observation, moreover, the stability of the atmospheric correction for various solar angles is additionally required. Small uncertainties of atmospheric parameters can significantly cause the diurnal instability of atmospheric correction performance. Various atmospheric radiances regarding directional effect is simulated by radiative transfer code to see the sensitivity. In the study, we first analyze that how the GOCI atmospheric correction is sensitive to the uncertainties along various solar angles through simulations. 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.tellite plays an important role in determining the quality of the derived ocean environmental products. For the diurnal observation, moreover, the stability of the atmospheric correction for various solar angles is additionally required. Small uncertainties of atmospheric parameters can significantly cause the diurnal instability of atmospheric correction performance. Various atmospheric radiances regarding directional effect is simulated by radiative transfer code to see the sensitivity. In the study, we first analyze that how the GOCI atmospheric correction is sensitive to the uncertainties along various solar angles through simulations. 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/23604
Bibliographic Citation
HIGHROC Science Conference, pp.22, 2017
Publisher
Royal Belgian Institute of Natural Sciences
Type
Conference
Language
English
Publisher
Royal Belgian Institute of Natural Sciences
Related Researcher
Research Interests

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

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