Articles | Volume 9, issue 3
https://doi.org/10.5194/amt-9-1135-2016
https://doi.org/10.5194/amt-9-1135-2016
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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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.