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大尺度作物面积遥感监测中小地物的影响与双重抽样
引用本文:吴全,杨邦杰,裴志远,王飞. 大尺度作物面积遥感监测中小地物的影响与双重抽样[J]. 农业工程学报, 2004, 20(3): 130-133
作者姓名:吴全  杨邦杰  裴志远  王飞
作者单位:中国农业大学工学院,北京,100083;中国农业工程研究设计院农业部农业资源监测总站,北京,100026;中国农业工程研究设计院农业部农业资源监测总站,北京,100026
摘    要:在大尺度作物面积遥感监测中,一般采用抽样方法。由于小地物在影像上无法识别或难以量算,形成样本误差而影响总体面积的估计。改进的措施是采用双重抽样的方法,即在抽样设计中,首先控制作物样本精度,从而消除或减小小地物影响,进而获得较准确的作物面积绝对值。

关 键 词:作物监测  遥感  小地物  双重抽样
文章编号:1002-6819(2004)03-0130-04
收稿时间:2004-01-14
修稿时间:2004-01-14

Influence of small features on crop area estimation at a national scale using remote sensing and a double sampling method
Wu Quan,Yang Bangjie,Pei Zhiyuan and Wang Fei. Influence of small features on crop area estimation at a national scale using remote sensing and a double sampling method[J]. Transactions of the Chinese Society of Agricultural Engineering, 2004, 20(3): 130-133
Authors:Wu Quan  Yang Bangjie  Pei Zhiyuan  Wang Fei
Abstract:Sampling methods are normally used in crop area estimation using remote sensing at a national or provincial level. Because some small features in crops are difficult to identify or to measure on images, the errors influence the crop area estimation results. A double sampling method is suggested in this paper. The first step is to do a small features sampling in samples using GPS measurements and the total crop area is estimated using the more accurate samples.
Keywords:crop monitoring  remote sensing  small feature  double-sampling
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