Cite as:
Cermak, J. &amp; Bendix, J. (2008): <b>A Novel Approach to Fog/Low Stratus Detection Using Meteosat 8 Data</b>. <i>Atmospheric Research</i> <b>87</b>(3-4), 279-292.

Resource Description

Title: A Novel Approach to Fog/Low Stratus Detection Using Meteosat 8 Data
FOR816dw ID: 98
Publication Date: 2008-03-01
License and Usage Rights: PAK 823-825 data user agreement. (
Resource Owner(s):
Individual: Jan Cermak
Individual: Jörg Bendix
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.
| remote sensing | fog | Meteosat Second Generation | stratiform clouds | nowcasting |
Literature type specific fields:
Journal: Atmospheric Research
Volume: 87
Issue: 3-4
Page Range: 279-292
Metadata Provider:
Individual: Tiziana Li Koch
Online Distribution:
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