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- W2273504268 abstract "This paper presents the automated pixel-scale neural network classification methods beingdeveloped at National Satellite Meteorological Center(NSMC)of China to classify clouds by usingNOAA/AVHRR and GMS-5 satellite imageries.By using Terra satellite MODIS imageries,anautomated pixel-scale threshold technique has been developed to detect and classify clouds.Thestudy focuses on applications of these cloud classification techniques to the Huaihe River and theChangjiang(Yangtze)River drainage basin.The different types of clouds show more clearly onthis cloud classification image than single band image.The results of the cloud classifications arethe basis of studying cloud amount,cloud top height and cloud top pressure.Cloud mask methodsare widely used in SST,LST,and TPW retrieval schemes.Some case studies about cloud maskand cloud classification in satellite imageries,which are related with the study of Global Energyand Water Cycle Experiment(GEWEX)in the Huaihe River and the Changjiang River drainagebasin are illustrated." @default.
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- W2273504268 date "2002-01-01" @default.
- W2273504268 modified "2023-09-24" @default.
- W2273504268 title "STUDY ON CLOUD CLASSIFICATIONS BY USING AVHRR,GMS-5 AND TERRA/MODIS SATELLITE DATA" @default.
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