Preprints
https://doi.org/10.5194/amt-2017-306
https://doi.org/10.5194/amt-2017-306
23 Oct 2017
 | 23 Oct 2017
Status: this preprint was under review for the journal AMT but the revision was not accepted.

A method for the spectral analysis and identification of Fog, Haze and Dust storm using MODIS data

Qinghua Su, Lin Sun, Mei Di, Xinyan Liu, and Yikun Yang

Abstract. The three typical extreme weather of fog, haze and dust storm have occurred frequently in recent years in China. These events influence the transportation, the ecological environment, and the daily lives of people. Remote sensing is very important technology that can be used to monitor them due to its high temporal resolution and wide area of coverage. But because the spectral features of the three extreme weather conditions are very complex, the high accuracy identification of them is facing severe challenges. In this article, the spectra of these three weather conditions, as well as those of clouds and the background surface, are analyzed. A monitoring model is constructed to achieve the separation of fog, haze, dust storm, clouds and the underlying surface using satellite data. The monitoring results are tested based on their corresponding measurements obtained from ground stations, and indicate that the extraction of fog, haze and dust storm can reach a high accuracy.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Qinghua Su, Lin Sun, Mei Di, Xinyan Liu, and Yikun Yang
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Qinghua Su, Lin Sun, Mei Di, Xinyan Liu, and Yikun Yang
Qinghua Su, Lin Sun, Mei Di, Xinyan Liu, and Yikun Yang

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Latest update: 23 May 2024
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Short summary
The three typical extreme weather of fog, haze and dust storm have occurred frequently in recent years in China. The spectra characteristics of fog, haze, dust storm, as well as clouds and the background surface, are analyzed. A monitoring model is constructed to achieve the separation of fog, haze, dust storm, clouds and the underlying surface using MODIS data. The monitoring results are tested, and indicate that the extraction of fog, haze and dust storm can reach a high accuracy.