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Cloud classification using METEOSAT VIS-IR imagery

 

作者: F. PORCÚ,   V. LEVIZZANI,  

 

期刊: International Journal of Remote Sensing  (Taylor Available online 1992)
卷期: Volume 13, issue 5  

页码: 893-909

 

ISSN:0143-1161

 

年代: 1992

 

DOI:10.1080/01431169208904162

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A new method is proposed which allows for reasonably accurate cloud classification based upon Gaussian approximation of cloud emission and using a pair of visible-infrared, high resolution METEOSAT images. Its most important characteristic is the very low amount of CPU time required for a single classification. It becomes then suitable for application in very short range weather forecasting (nowcasting) by ensuring the adequate time coverage and necessary rapidity of use for the operational environment. Two classifications of summer and winter meteorological situations are presented.

 

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