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

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

doi:https://doi.org/10.5194/amt-9-1135-2016

Articles | Volume 9, issue 3

https://doi.org/10.5194/amt-9-1135-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-1135-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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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Final revised paper (published on 18 Mar 2016)
Preprint (discussion started on 20 Nov 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C4409: 'Some small questions', Li Yi, 20 Dec 2015
- AC C4692: 'Authors' reply', Hans Martin Schulz, 05 Jan 2016
RC C4438: 'Questions and suggestions', Anonymous Referee #2, 21 Dec 2015
- AC C4815: 'Authors' reply', Hans Martin Schulz, 11 Jan 2016

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.