DAYTIME AND NIGHT TIME SEA FOG DETECTION USING MODIS AND GOCI IN THE YELLOW SEA

Title
DAYTIME AND NIGHT TIME SEA FOG DETECTION USING MODIS AND GOCI IN THE YELLOW SEA
Author(s)
전주영; 김선화; 양찬수
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2016-04-21
Abstract
Among the sea fog events occurring near Korean coast, the occurrence is the highest in the Yellow Sea especially in April to July. In this study, the result of feasibility study on the automatic sea fog detection using MODIS (Moderated Moderate Resolution Imaging Spectroradiometer) near in the Yellow sea has been presented and GOCI (Geostationary Ocean Color Imager) data was additionally used to observe the changes of sea fog in time. MODIS observe the Yellow Sea two times each in day and night every day by Terra and Aqua satellite. Observation was limited to 4 times when only used MODIS. However using GOCI, it became possible to observe 8 more times from 09:15 to 16:15(KST) with interval of an hour additionally. Using these combined dataset, it is able to observe the continuous changes of sea fog. To detect sea fog using MODIS data, we used the dynamic threshold algorithm and for GOCI, we used the spectral characteristic of sea fog in visible and near-infrared to detected sea fog. The result of the detection shows the formation of the sea fog on the night time to the changes during the daytime on next day and to the extinction of sea fog on the night. The result of the detection shows the formation of sea fog in night time to the extinction of the sea fog on the next day night. The result also showed the changes of the sea fog were detected successfully during the daytime in between the formation and extinction on trate Resolution Imaging Spectroradiometer) near in the Yellow sea has been presented and GOCI (Geostationary Ocean Color Imager) data was additionally used to observe the changes of sea fog in time. MODIS observe the Yellow Sea two times each in day and night every day by Terra and Aqua satellite. Observation was limited to 4 times when only used MODIS. However using GOCI, it became possible to observe 8 more times from 09:15 to 16:15(KST) with interval of an hour additionally. Using these combined dataset, it is able to observe the continuous changes of sea fog. To detect sea fog using MODIS data, we used the dynamic threshold algorithm and for GOCI, we used the spectral characteristic of sea fog in visible and near-infrared to detected sea fog. The result of the detection shows the formation of the sea fog on the night time to the changes during the daytime on next day and to the extinction of sea fog on the night. The result of the detection shows the formation of sea fog in night time to the extinction of the sea fog on the next day night. The result also showed the changes of the sea fog were detected successfully during the daytime in between the formation and extinction on t
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24868
Bibliographic Citation
ISRS 2016, pp.1 - 5, 2016
Publisher
대한원격탐사학회
Type
Conference
Language
English
Publisher
대한원격탐사학회
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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