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A Sampling Design for Monitoring of the Cultivated Areas of Main Crops at National Scale Based 3S Technologies in China

机译:基于国家规模的3S技术的主要作物耕地监测采样设计

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Remote Sensing Application Centre (RSAC) has been working on monitoring the main crop cultivated areas as operational task and research project for several years.The main problems is that the time and features of background data used in sampling maybe produce system errors. The sampling method called stratified sampling adopted by RSAC is also used in this study. But there is an important difference that the background data used to stratify is the same year's cultivated land data derived from an analysis result to MODIS data, containing crop cultivated area proportion information, instead of cultivated land data. The Area Proportion Enlargement Estimation (APEE) model designed in this study is different with Area Enlargement Estimation (AEE) adpoted by RSAC. The new APEE model was set up through calculating with twice weighted averaging. A case study limitedly presents the process of the sampling design and testifies feasibility of the method.
机译:遥感应用中心(RSAC)一直在努力将主要作物耕种区域视为运营任务和研究项目的几年。主要问题是采样中使用的背景数据的时间和特征可以产生系统错误。本研究也使用称为RSAC采用的分层抽样的采样方法。但是,用于分层的背景数据是与分析结果导出的同一年的培养土地数据,含有作物耕种区域比例信息,而不是培养的土地数据。本研究中设计的区域比例放大估计(APEE)模型与RSAC侧的区域放大估计(AEE)不同。通过计算两次加权平均来设置新的APEE模型。案例研究有限地提出了采样设计的过程,并证明了该方法的可行性。

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