Arid
DOI10.1080/01431161.2010.504756
Dust storm detection and monitoring using multi-temporal INSAT-3A-CCD data
Sanwlani, Nivedita; Chauhan, Prakash; Navalgund, R. R.
通讯作者Sanwlani, Nivedita
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2011
卷号32期号:19页码:5527-5539
英文摘要

Sand and dust on being agitated by winds often trigger huge dust storms which are characterized by high aerosol optical depth (AOD), tau(a), lower Angstrom exponent (alpha) and near-zero visibility condition. Geostationary platforms are most suitable for studying the dynamic behaviour of such events. In the present study we have used multi-temporal Indian National Satellite System (INSAT-3A-CCD) data on an hourly basis to characterize a massive dust storm that occurred during 15-16 October 2008 over the northern Arabian Sea. An algorithm has been developed to estimate AOD and the Angstrom exponent using the near-infrared (NIR) channel of INSAT-3A-CCD. AOD at 550 nm and the Angstrom exponent, alpha(810, 550 nm) were computed during 14-18 October 2008. The mean value of tau(a)(550 nm) was found to be 1.03 during the dust event, almost two to three times higher than in dust-free conditions. Similarly, the mean alpha(810, 550 nm) value reduced almost by half during the dust event, indicating the presence of larger particles. In general an increasing trend of AOD values was noticed till early afternoon and a decreasing trend was observed thereafter. INSAT-derived atmospheric parameters were compared with Moderate Resolution Imaging Spectroradiometer-derived AOD and alpha for similar observation period. A good correlation for tau(a) was found with R-2 = 0.92 and root mean square error (RMSE) = 0.054. However, a R-2 value of 0.74 with RMSE of 0.13 was obtained for alpha. Analysis of air mass back-trajectory indicates the source of this dust event originates from deserts of Afghanistan and Pakistan.


类型Article
语种英语
国家India
收录类别SCI-E
WOS记录号WOS:000298369400013
WOS关键词APRIL 1998 ; AEROSOLS ; CLIMATE ; EVENTS ; GREECE
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/168657
作者单位ISRO, Ctr Space Applicat, Ahmadabad 380015, Gujarat, India
推荐引用方式
GB/T 7714
Sanwlani, Nivedita,Chauhan, Prakash,Navalgund, R. R.. Dust storm detection and monitoring using multi-temporal INSAT-3A-CCD data[J],2011,32(19):5527-5539.
APA Sanwlani, Nivedita,Chauhan, Prakash,&Navalgund, R. R..(2011).Dust storm detection and monitoring using multi-temporal INSAT-3A-CCD data.INTERNATIONAL JOURNAL OF REMOTE SENSING,32(19),5527-5539.
MLA Sanwlani, Nivedita,et al."Dust storm detection and monitoring using multi-temporal INSAT-3A-CCD data".INTERNATIONAL JOURNAL OF REMOTE SENSING 32.19(2011):5527-5539.
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