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

Nilo, Saverio Teodosio; Romano, Filomena; Cermak, Jan 1,2; Cimini, Domenico; Ricciardelli, Elisabetta; Cersosimo, Angela; Paola, Francesco Di; Gallucci, Donatello; Gentile, Sabrina; Geraldi, Edoardo; Larosa, Salvatore; Ripepi, Ermann; Viggiano, Mariassunta
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


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%.

Verlagsausgabe §
DOI: 10.5445/IR/1000081507
Veröffentlicht am 03.04.2018
DOI: 10.3390/rs10040541
Zitationen: 12
Web of Science
Zitationen: 12
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Photogrammetrie und Fernerkundung (IPF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.04.2018
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000081507
HGF-Programm 12.01.01 (POF III, LK 01) Clouds in a pertubed atmosphere
Erschienen in Remote sensing
Verlag MDPI
Band 10
Heft 4
Seiten Art.Nr. 541
Schlagwörter fog detection, satellite data, cloud detection, solar reflectance
Nachgewiesen in Web of Science
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