Severe visibility marine fog detection using GOCI/COMS VIS bands

Donghee Kim; Myung-Sook Park

doi:10.1117/12.2532976

9 October 2019 Severe visibility marine fog detection using GOCI/COMS VIS bands

Donghee Kim, Myung-Sook Park

Proceedings Volume 11152, Remote Sensing of Clouds and the Atmosphere XXIV; 1115219 (2019) https://doi.org/10.1117/12.2532976
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

In this study, we investigated different optical properties between severe versus moderate visibility marine fog using Geostationary Ocean Color Imager (GOCI) visible band measurements. Severe and moderate visibility marine fogs are best distinguishable with the criteria of visibility as 500 m. Using this, we developed an algorithm that classifies severe visibility marine fog based on Decision Tree (DT) method. Calibration and validation data were constructed for 2016 and 2017 marine fog cases, respectively, through match-up between satellite and in-situ data. In general, marine fog region has differences of textural and optical properties with cloud. The GOCI 412 nm Rayleigh Corrected Reflectance (R_rc) reveals small spatial variability in fog than in cloud. Also, it is notable that some distinction exists in R_rc magnitude between severe and moderate visibility marine fog region. Using this feature, we have developed a satellite marine fog detection algorithm with severe/moderate visibility classification. R_rc and Normalized Local Standard Deviation (NLSD) of R_rc were determined as primary input. However, visible channel alone cannot completely distinguish marine fog from cloud because it does not provide cloud height information. Here, we used cloud top height data from Himawari-8 as a supplementary data to remove cloud that was miss-classified as fog. Hit Rate (HR) and False Alarm Rate (FAR) for moderate (severe) visibility marine fog were 0.96 (0.86) and 0.31 (0.12), respectively.

Citation Download Citation

Donghee Kim and Myung-Sook Park "Severe visibility marine fog detection using GOCI/COMS VIS bands", Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 1115219 (9 October 2019); https://doi.org/10.1117/12.2532976

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