Articles | Volume 9, issue 3
Research article
18 Mar 2016
Research article |  | 18 Mar 2016

Detection of ground fog in mountainous areas from MODIS (Collection 051) daytime data using a statistical approach

Hans Martin Schulz, Boris Thies, Shih-Chieh Chang, and Jörg Bendix

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Cited articles

Bendix, J. and Bachmann, M.: Climatology of fog layers in the Alpine region – a study based on AVHRR data, in: Proceedings of the 6th AVHRR Data Users' Meeting, Belgirate, Italy, 29 June–2 July 1993, 237–248, 1993.
Bendix, J., Thies, B., Cermak, J., and Nauß, T.: Ground fog detection from space based on MODIS daytime data – a feasibility study, Weather Forecast., 20, 989–1005, 2005.
Bruijnzeel, L. A., Mulligan, M., and Scatena, F. N.: Hydrometeorology of tropical montane cloud forests: emerging patterns, Hydrol. Process., 25, 465–498, 2010.
Cermak, J. and Bendix, J.: A novel approach to fog/low stratus detection using Meteosat 8 data, Atmos. Res., 87, 279–292, 2008.
Cermak, J. and Bendix, J.: Detecting ground fog from space – a microphysics-based approach, Int. J. Remote Sens., 12, 3345–3371, 2011.
Short summary
The mountain cloud forest of Taiwan can be delimited from other forest using a map of the ground fog frequency. An algorithm able to detect ground fog from satellite data is necessary for the creation of such a map. Common fog detection algorithms are not applicable in Taiwan as they rely on assumptions that are not met by most fog occurrences in Taiwan. Therefore a new statistical method for ground fog detection in mountainous areas that is based only on a few basic assumptions is presented.