期刊论文详细信息
American Journal of Applied Sciences
Active Fire Monitoring with Level 1.5 MSG Satellite Images | Science Publications
Ahmed H. Belbachir1  Abdelatif Hassini1  Noureddine Benabadji1  Farid Benabdelouahed1 
关键词: Satellite images;    SEVIRI;    MSG;    fires;    AFMA algorithm;   
DOI  :  10.3844/ajassp.2009.157.166
学科分类:自然科学(综合)
来源: Science Publications
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【 摘 要 】

The first of the new generation of Meteosat satellites, known as Meteosat Second Generation (MSG-1), was launched in August 2002. As with the current Meteosat series, MSG is spin-stabilized and capable of greatly enhanced Earth observations. The satellites 12-channel imager, known formally as the Spinning Enhanced Visible and Infrared Imager (SEVIRI), observes the full disk of the Earth with an unprecedented repeat cycle of 15 min in 12 spectral wavelength regions or channels. Our goal is to collect maximum MSG images data with our real time acquisition system, to trust the continuous observation of the Earths full disk with a multi-spectral imager. This research gives an overview of the MSG SEVIRI instrument, the general approach for the active fire monitoring and the description of the algorithm together with the practical application of the tests and the algorithm. The AFMA algorithm (Active Fire Monitoring Algorithm) developed in this work is able to detect most of the existing active fires with a minimum of false alarms. The AFMA algorithm distinguishes between Diurnal and Nocturnal periods of day. The algorithm itself is based on a simple threshold algorithm. A few results are described and discussed.

【 授权许可】

Unknown   

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