Geostationary Ocean Color Imager (GOCI) Marine Fog Detection in Combination with Himawari-8 Based on the Decision Tree SCIE SCOPUS

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Title
Geostationary Ocean Color Imager (GOCI) Marine Fog Detection in Combination with Himawari-8 Based on the Decision Tree
Author(s)
Kim, Donghee; Park, Myung-Sook; Park, Young-Je; Kim, Wonkook
KIOST Author(s)
Park, Myung Sook(박명숙)Park, Young Je(박영제)
Alternative Author(s)
김동희; 박명숙; 박영제; 김원국
Publication Year
2020-01-01
Abstract
Geostationary Ocean Color Imager (GOCI) observations are applied to marine fog (MF) detection in combination with Himawari-8 data based on the decision tree (DT) approach. Training and validation of the DT algorithm were conducted using match-ups between satellite observations and in situ visibility data for three Korean islands. Training using different sets of two satellite variables for fog and nonfog in 2016 finally results in an optimal algorithm that primarily uses the GOCI 412-nm Rayleigh-corrected reflectance (R-rc) and its spatial variability index. The algorithm suitably reflects the optical properties of fog by adopting lower R-rc and spatial variability levels, which results in a clear distinction from clouds. Then, cloud removal and fog edge detection in combination with Himawari-8 data enhance the performance of the algorithm, increasing the hit rate (HR) of 0.66 to 1.00 and slightly decreasing the false alarm rate (FAR) of 0.33 to 0.31 for the cloudless samples among the 2017 validation cases. Further evaluation of Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation data reveals the reliability of the GOCI MF algorithm under optically complex atmospheric conditions for classifying marine fog. Currently, the high-resolution (500 m) GOCI MF product is provided to decision-makers in governments and the public sector, which is beneficial to marine traffic management.
ISSN
2072-4292
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38756
DOI
10.3390/rs12010149
Bibliographic Citation
REMOTE SENSING, v.12, no.1, 2020
Publisher
MDPI
Subject
ATMOSPHERIC CORRECTION; ALGORITHM; AVHRR; SEA
Keywords
GOCI; marine fog; machine learning; decision tree
Type
Article
Language
English
Document Type
Article
Publisher
MDPI
Related Researcher
Research Interests

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

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