基于分层抽样的平湖市小麦种植面积遥感测算方法研究

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。

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

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.