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• W1981392743 abstract "A method is presented for fog and low stratus detection from daytime satellite imagery based on Meteosat 8 SEVIRI (Spinning-Enhanced Visible and Infra-Red Imager) data. With its excellent spatial, spectral and temporal resolutions, this imagery is an ideal basis for operational fog monitoring. The scheme utilizes a range of pixel-based and novel object-oriented techniques to separate fog and low stratus clouds from other cloud types. Fog and low stratus are identified by a number of tests which explicitly and implicitly address fog/low stratus spectral, spatial and microphysical properties. The scheme's performance is evaluated using ground-based measurements of cloud height over Europe. The algorithm is found to detect low clouds very accurately, with probabilities of detection (POD) ranging from 0.632 to 0.834 (for different inter-comparison approaches), and false alarm ratios (FAR) between 0.059 and 0.021. The retrieval of sub-pixel and temporal effects remain issues for further investigation." @default.
• W1981392743 created "2016-06-24" @default.
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• W1981392743 date "2008-03-01" @default.
• W1981392743 modified "2023-10-13" @default.
• W1981392743 title "A novel approach to fog/low stratus detection using Meteosat 8 data" @default.
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• W1981392743 doi "https://doi.org/10.1016/j.atmosres.2007.11.009" @default.
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