基于Cokriging插值修正冬小麦面积遥感监测

Monitoring of winter wheat area by remote sensing based on Cokriging

摘要: 在研究区内冬小麦种植区选取149个地面样方，筛选样方内反映种植结构、地块破碎程度、地形因素的参数并利用差分GPS测量，对3个参数量化并确定插值的主辅变量。探讨和比较了利用普通克里格和协同克里格2种插值方法对研究区的冬小麦种植面积比例的插值结果。结果表明，相同采样数量下，协同克里格法相对于普通克里格法的均方根误差降低1.48%，预测值与实测值之间的相关系数提高了6.82%，利用COK插值获取研究区内冬小麦种植面积比例分布状况，可以分区域对大尺度冬小麦面积遥感提取结果进行修正。

Abstract: 149 wheat sampling frames were chose in winter wheat planting area, the influence factors which could reflect planting structure, the degree of field regulation and terrain were measured by Differential GPS. One of the three factors was determined as the