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中国农学通报

中国农学通报 ›› 2016, Vol. 32 ›› Issue (33): 169-174.doi: 10.11924/j.issn.1000-6850.casb16080034

所属专题： 油料作物

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于高分一号16 m 影像的美国大豆种植面积抽样调查

申克建,裴志远,王 飞,孙冠楠   

  1. 农业部规划设计研究院,农业部规划设计研究院,农业部规划设计研究院,农业部规划设计研究院
  • 收稿日期:2016-08-06 修回日期:2016-08-22 接受日期:2016-08-25 出版日期:2016-11-25 发布日期:2016-11-25
  • 通讯作者: 申克建
  • 基金资助:
    民用航天“十二五”预研项目“基于自主遥感数据的国外作物面积监测技术”；国家自然科学基金“基于中分辨影像和模拟无人机样带的分 层两阶段中国早稻种植面积估算方法研究”(41301506)。

US Soybean Planting Area Sampling Survey by GF-1 16 m Remote Sensing Image

  • Received:2016-08-06 Revised:2016-08-22 Accepted:2016-08-25 Online:2016-11-25 Published:2016-11-25

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摘要： 为了试验中国自主发射的高分一号卫星16 m影像在抽样调查美国大豆面积的有效性问题，解决目前中国农业遥感调查主要依靠国外数据源的问题。在95%置信水平和误差＜5%的要求下，首先设计了2013 年模拟抽样试验（6 种抽样比），以抽样框中大豆面积为分层指标，将抽样单元划分为6 层，以总体相对误差和变异系数为抽样效率评价指标，试验确定理论最小抽比为1.8%。然后设计了2014 年抽样试验，采用和2013 年抽样试验相同的方法，不同是遥感样本为高分一号16 m影像（抽样比4.8%），抽样结果与美国农业部统计数据对比的误差为5.1%。结果表明：在美国大豆的生长季节内，高分一号16 m影像具有保证美国大豆面积抽样调查的覆盖能力。该试验可为作物面积空间抽样调查方案设计提供参考。

关键词: 野生大豆, 野生大豆, 遗传多样性, SSR分子标记

Abstract: To test the effectiveness of GF-1 16 m remote sensing image in sampling survey of US soybean planting area, and solve the problem of agricultural remote sensing survey in China which mainly relies on foreign satellite image. At the 95% confidence level and error of less than 5% , the authors designed a simulated sampling test of 2013 with 6 sampling fractions, soybean planting area in sampling frame was used as zone index and divided sampling cells into 6 layers, total relative error and variable coefficient were used as evaluation indexes, the minimum sampling fraction was 1.8%. The test of 2014 adopted the same method of 2013 sampling test, but the sample was GF-1 16 m remote sensing image with the sampling fraction of 4.8%, sampling results had 5.1% error compared with the statistical data of USDA. The results showed that in the growth season of soybean in US, GF-1 16 m remote sensing image could ensure the covering power of soybean planting area sampling survey. The results could provide reference for the design of crop planting area sampling survey project.

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