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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