CLOUD CLASSIFICATION USING METEOSAT VIS-IR IMAGERY

被引：32
|
作者：
PORCU, F
LEVIZZANI, V
机构：
[1] Istituto FISBAT-C.N.R, Gruppo Nubi e Precipitazioni, Bologna, 1-40126, via de’ Castagnoli I
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1992年 / 13卷 / 05期
关键词：
D O I：
10.1080/01431169208904162
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
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.
引用
收藏
页码：893 / 909
页数：17
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