Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.actaastro.2013.07.003 |
Identification of dust outbreaks on infrared MSG-SEVIRI data by using a Robust Satellite Technique (RST) | |
Sannazzaro, Filomena1; Filizzola, Carolina1,2; Marchese, Francesco1,2; Corrado, Rosita1; Paciello, Rossana2; Mazzeo, Giuseppe2; Pergola, Nicola1,2; Tramutoli, Valerio1,2 | |
通讯作者 | Sannazzaro, Filomena |
来源期刊 | ACTA ASTRONAUTICA
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ISSN | 0094-5765 |
EISSN | 1879-2030 |
出版年 | 2014 |
卷号 | 93页码:64-70 |
英文摘要 | 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. (c) 2013 IAA. Published by Elsevier Ltd. All rights reserved. |
英文关键词 | Dust RST SEVIRI |
类型 | Article |
语种 | 英语 |
国家 | Italy |
收录类别 | SCI-E |
WOS记录号 | WOS:000325667800007 |
WOS关键词 | DETECTING VOLCANIC ASH ; DESERT DUST ; AEROSOLS ; FAILURES ; CLOUDS ; RETRIEVAL ; PARTICLES ; SIZES ; BANDS ; TIME |
WOS类目 | Engineering, Aerospace |
WOS研究方向 | Engineering |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/180334 |
作者单位 | 1.Univ Basilicata, Sch Engn, I-85100 Potenza, Italy; 2.CNR, Inst Methodol Environm Anal IMAA, I-85050 Tito, PZ, Italy |
推荐引用方式 GB/T 7714 | Sannazzaro, Filomena,Filizzola, Carolina,Marchese, Francesco,et al. Identification of dust outbreaks on infrared MSG-SEVIRI data by using a Robust Satellite Technique (RST)[J],2014,93:64-70. |
APA | Sannazzaro, Filomena.,Filizzola, Carolina.,Marchese, Francesco.,Corrado, Rosita.,Paciello, Rossana.,...&Tramutoli, Valerio.(2014).Identification of dust outbreaks on infrared MSG-SEVIRI data by using a Robust Satellite Technique (RST).ACTA ASTRONAUTICA,93,64-70. |
MLA | Sannazzaro, Filomena,et al."Identification of dust outbreaks on infrared MSG-SEVIRI data by using a Robust Satellite Technique (RST)".ACTA ASTRONAUTICA 93(2014):64-70. |
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