欢迎访问《中国农学通报》,

中国农学通报 ›› 2016, Vol. 32 ›› Issue (3): 192-199.doi: 10.11924/j.issn.1000-6850.casb15110044

所属专题: 小麦

• 农业科技信息 • 上一篇    下一篇

基于分层抽样的平湖市小麦种植面积遥感测算方法研究

汪月娇   

  1. 国家统计局浙江调查总队
  • 收稿日期:2015-11-09 修回日期:2015-12-24 接受日期:2015-12-02 出版日期:2016-01-29 发布日期:2016-01-29
  • 通讯作者: 汪月娇
  • 基金资助:
    无基金

Remote Sensing Estimation of Wheat Planting Area in Pinghu Based on Stratified Sampling

  • Received:2015-11-09 Revised:2015-12-24 Accepted:2015-12-02 Online:2016-01-29 Published:2016-01-29

摘要: 为了更准确地了解县级粮食播种面积,笔者以浙江省平湖市为例,利用高分一号和RapidEye 卫星的影像数据,通过监督分类提取小麦的大概种植区域,在小麦种植区域范围内分层抽样,在保证95%置信区间95%估算精度前提下,估算浙江省平湖市2015 年小麦种植面积为141.73 km2。该结果与平湖市小麦实际种植面积较为相符,说明采用监督分类的方法并且结合分层抽样估算县级粮食播种面积的方法是可行的,此方法适用于浙江省县级粮食播种面积业务化运行。

关键词: 杏, 杏, 李子, 花期, 幼果, 霜冻指标, 临界温度, 持续时间

Abstract: In order to acknowledge the county-level wheat planting area more accurately, the author took Pinghu City of Zhejiang Province as an example, used the image data of GF- 1 and RapidEye satellite, extracted the approximate wheat planting area by supervised classification method, stratified sampling in wheat planting area range, estimated the wheat planting area in Pinghu City in 2015 which was 141.73 km2 with 95% confidence interval 95% estimation accuracy. The results were comparatively consistent with the actual wheat planting area in Pinghu City, indicating it was feasible to use supervised classification method combining stratified sampling to estimate the county-level grain planting area. This method was suitable for the regular operation of county-level grain planting area in Zhejiang Province.