| STUDY ON CLOUD CLASSIFICATIONS BY USING AVHRR,GMS-5 AND TERRA/MODIS SATELLITE DATA |
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| 作者姓名： | 师春香 张文建 张里阳 郭伟 |
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| 作者单位： | National Satellite Meteorological Center Beijing 100081，National Satellite Meteorological Center，Beijing 100081，National Satellite Meteorological Center，Beijing 100081，National Satellite Meteorological Center，Beijing 100081 |
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| 基金项目： | the National Natural Science Foundation of China(49794030). |
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| 摘 要： | 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.
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STUDY ON CLOUD CLASSIFICATIONS BY USING AVHRR,GMS-5 AND TERRA/MODIS SATELLITE DATA |
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| SHI Chunxiang ZHANG Wenjian ZHANG Liyang GUO Wei National Satellite Meteorological Center,Beijing.STUDY ON CLOUD CLASSIFICATIONS BY USING AVHRR,GMS-5 AND TERRA/MODIS SATELLITE DATA[J].Acta Meteorologica Sinica,2002(3). |
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| Authors: | SHI Chunxiang ZHANG Wenjian ZHANG Liyang GUO Wei National Satellite Meteorological Center Beijing |
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| Institution: | SHI Chunxiang ZHANG Wenjian ZHANG Liyang GUO Wei National Satellite Meteorological Center,Beijing 100081 |
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| Abstract: | This paper presents the automated pixel-scale neural network classification methods being developed at National Satellite Meteorological Center(NSMC)of China to classify clouds by using NOAA/AVHRR and GMS-5 satellite imageries.By using Terra satellite MODIS imageries,an automated pixel-scale threshold technique has been developed to detect and classify clouds.The study focuses on applications of these cloud classification techniques to the Huaihe River and the Changjiang(Yangtze)River drainage basin.The different types of clouds show more clearly on this cloud classification image than single band image.The results of the cloud classifications are the basis of studying cloud amount,cloud top height and cloud top pressure.Cloud mask methods are widely used in SST,LST,and TPW retrieval schemes.Some case studies about cloud mask and cloud classification in satellite imageries,which are related with the study of Global Energy and Water Cycle Experiment(GEWEX)in the Huaihe River and the Changjiang River drainage basin are illustrated. |
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| Keywords: | cloud mask and classification neural network satellite imagery MODIS data |
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