| 利用FY-1D全球数据监测北极冰雪覆盖 |
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| 引用本文： | 谢小萍,刘玉洁,杜秉玉.利用FY-1D全球数据监测北极冰雪覆盖[J].南京气象学院学报,2007,30(1):57-62. |
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| 作者姓名： | 谢小萍 刘玉洁 杜秉玉 |
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| 作者单位： | 1. 南京信息工程大学,遥感学院,江苏,南京,210044
2. 国家卫星气象中心,北京,100081 |
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| 摘 要： | 利用FY-1D极轨气象卫星全球数据(GDPT)4个通道资料选取了北极冰雪样本2 366个、云2 024个,陆地1 602个,水体1 648个,分析各类别的光谱特征和纹理特征,利用光谱特征从图像上识别出陆地、水体和部分云,根据冰雪和云纹理特征不同用贝叶斯判别方法建立类别判别函数进一步对北极冰雪与云进行分类,然后通过5 d合成,得到北极地区完整的冰雪覆盖范围.所得结果与NOAA/NESDIS的IMS提供的北半球日积雪产品检验分类结果相比较,一致率达到70 %以上.
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| 关 键 词： | FY-1D 北极 冰雪覆盖 贝叶斯分类 利用 数据监测 北极地区 冰雪覆盖 Data Global Cover Snow and Ice Arctic 一致率 比较 分类结果 产品检验 积雪 北半球 NOAA 覆盖范围 合成 判别函数 判别方法 |
| 文章编号： | 1000-2022（2007）01-0057-06 |
| 修稿时间： | 2005-11-182006-03-22 |
Detecting Arctic Snow and Ice Cover with FY-1D Global Data |
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| XIE Xiao-ping,LIU Yu-jie,DU Bing-yu.Detecting Arctic Snow and Ice Cover with FY-1D Global Data[J].Journal of Nanjing Institute of Meteorology,2007,30(1):57-62. |
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| Authors: | XIE Xiao-ping LIU Yu-jie DU Bing-yu |
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| Institution: | 1. School of Remote Sensing,NUIST,Nanjing 210044,China; 2. National Satellite Meteorological Center, Beijing 100081, China |
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| Abstract: | Chinese meteorological satellite FY-1D acquires global data through four spectral channels which include visible and infrared channels. 2 366 snow and ice samples, 2 024 cloud samples, 1 602 land samples and 1 648 water body samples were selected randomly from arctic imageries. Land, water and some clouds can be detected by spectral features. Snow-ice and cloud can be further classified by a Bayes classifier based on textural features. By synthesizing five days class result of arctic snow and ice cover area, we can get complete arctic snow and ice cover area. The result agrees with the NOAA/NES- DIS IMS products up to 70 %. |
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| Keywords: | FY-1 D Arctic Pole snow and ice cover Bayes classifier |
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