Identification of dust outbreaks on infrared MSG-SEVIRI data by using a Robust Satellite Technique (RST)

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• 作者：Filomena Sannazzaro ; Carolina Filizzola ; Francesco Marchese ; Rosita Corrado ; Rossana Paciello ; Giuseppe Mazzeo ; Nicola Pergola ; Valerio Tramutoli
• 关键词：Dust ; RST ; SEVIRI
• 刊名：Acta Astronautica
• 出版年：2014
• 出版时间：January, 2014
• 年：2014
• 卷：93
• 期：Complete
• 页码：64-70
• 全文大小：3359 K

文摘

Dust storms are meteorological phenomena of great interest for scientific community because of their potential impact on climate changes, for the risk that may pose to human health and due to other issues as desertification processes and reduction of the agricultural production. Satellite remote sensing, thanks to global coverage, high frequency of observation and low cost data, may highly contribute in monitoring these phenomena, provided that proper detection methods are used.

In this work, the known Robust Satellite Techniques (RST) multitemporal approach, used for studying and monitoring several natural/environmental hazards, is tested on some important dust events affecting Mediterranean region in May 2004 and Arabian Peninsula in February 2008. To perform this study, data provided by the Spinning Enhanced Visible and Infrared Imager (SEVIRI) have been processed, comparing the generated dust maps to some independent satellite-based aerosol products. Outcomes of this work show that the RST technique can be profitably used for detecting dust outbreaks from space, providing information also about areas characterized by a different probability of dust presence. They encourage further improvements of this technique in view of its possible implementation in the framework of operational warning systems.