| Detecting Arctic snow and ice cover with FY-1D global data |
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| 作者姓名： | References： |
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| 作者单位： | School of Remote Sensing of NUIST，National Satellite Meteorological Center，School of Remote Sensing of NUIST Nanjing 210044，China，Beijing 100081，China，Nanjing 210044，China |
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| 摘 要： | Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel(0.58-0.68 μm) and infrared channels(0.84-0.89 μm,10.3-11.3 μm,11.5-12.5 μm).2366 snow and ice samples,2024 cloud samples,1602 land samples and 1648 water samples were selected randomly from Arctic imageries.Land and water can be detected by spectral features.Snow-ice and cloud can be classified by textural features.The classifier is Bayes classifier.By synthesizing five d ays classifying result of Arctic snow and ice cover area,complete Arctic snow and ice cover area can be obtained.The result agrees with NOAA/NESDIS IMS products up to 70%.
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Detecting Arctic snow and ice cover with FY-1D global data |
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| Xie Xiaoping,Liu yujie,Du bingyu.Detecting Arctic snow and ice cover with FY-1D global data[J].Chinese Journal of Polar Science,2007,18(1):54-62. |
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| Authors: | Xie Xiaoping Liu yujie Du bingyu |
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| Abstract: | Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel (0.58-0.68 μm) and infrared channels (0.84-0.89 μm, 10.3-11.3 μm, 11.5-12.5 μm). 2366 snow and ice samples, 2024 cloud samples, 1602 land samples and 1648 water samples were selected randomly from Arctic imageries. Land and water can be detected by spectral features. Snow-ice and cloud can be classified by textural features. The classifier is Bayes classifier. By synthesizing five d ays classifying result of Arctic snow and ice cover area, complete Arctic snow and ice cover area can be obtained. The result agrees with NOAA/NESDIS IMS products up to 70%. |
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| Keywords: | FY-1D Arctic snow and ice cover Bayes classification data global cover snow and ice Arctic products NOAA complete synthesizing result area Bayes classifier features land water cloud infrared Chinese meteorological satellite |
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