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Remote Sens. 2018, 10(4), 541; https://doi.org/10.3390/rs10040541

Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel

1
Institute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), Potenza 85100, Italy
2
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe, 76131, Germany
3
Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe, 76131, Germany
4
Centre of Excellence Telesensing of Environment and Model Prediction of Severe events (CETEMPS), University of L’Aquila, L’Aquila 67100, Italy
5
School of Engineering, University of Basilicata, Potenza 85100, Italy
6
Institute for Archaeological and Monumental Heritage, National Research Council (IBAM/CNR), Potenza 85100, Italy
*
Author to whom correspondence should be addressed.
Received: 30 January 2018 / Revised: 16 March 2018 / Accepted: 29 March 2018 / Published: 1 April 2018
(This article belongs to the Special Issue Remote Sensing of Low-Level Liquid Water Clouds and Fog)
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Abstract

In this study, the Meteosat Second Generation (MSG)—Spinning Enhanced Visible and Infrared Imager (SEVIRI) High Resolution Visible channel (HRV) is used in synergy with the narrow band MSG-SEVIRI channels for daytime fog detection. A new algorithm, named MSG-SEVIRI SatFog, has been designed and implemented. MSG-SEVIRI SatFog provides the indication of the presence of fog in near real time and at the high spatial resolution of the HRV channel. The HRV resolution is useful for detecting small scale daytime fog that would be missed in the MSG-SEVIRI low spatial resolution channels. By combining textural, physical and tonal tests, a distinction between fog and low stratus is performed for pixels identified as low/middle clouds or clear by the Classification-MAsk Coupling of Statistical and Physical Methods (C-MACSP) cloud detection algorithm. Suitable thresholds have been determined using a specific dataset covering different geographical areas, seasons and time of the day. MSG-SEVIRI SatFog is evaluated against METeorological Aerodrome Reports (METAR) data observations. Evaluation results in an accuracy of 69.9%, a probability of detection of 68.7%, a false alarm ratio of 31.3% and a probability of false detection of 30.0%. View Full-Text
Keywords: fog detection; satellite data; cloud detection; solar reflectance fog detection; satellite data; cloud detection; solar reflectance
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Nilo, S.T.; Romano, F.; Cermak, J.; Cimini, D.; Ricciardelli, E.; Cersosimo, A.; Di Paola, F.; Gallucci, D.; Gentile, S.; Geraldi, E.; Larosa, S.; Ripepi, E.; Viggiano, M. Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel. Remote Sens. 2018, 10, 541.

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