卫星遥感作物估产的多框架方法
A multiple-frame approach of crop yield estimation from satellite remotely sensed data
摘要：
近年来，利用卫星遥感数据进行农作物产量估算的研究越来越多。这些信息的价值取决于SRSD的空间和空间分辨率。空间分辨率高的SRSD成本高，航空覆盖范围小，在作物估产过程中采用多帧SRSD可以提高精度。我们提出了一个估计的平均产量的小麦，印度哈里亚纳邦。该估计器使用来自印度遥感卫星（IRS-1D）的宽场传感器（WiFS）和线性成像自扫描仪（LISS-III）数据的信息以及通过概率抽样设计从村庄列表框架收集的作物收割实验数据。我们发现，多帧估计的相对效率是高的相比，单帧估计。
英文摘要：
Many studies have recently explored the information from the satellite-remotely sensed data (SRSD) for estimating the crop production statistics. The value of this information depends on the aerial and spatial resolutions of SRSD. The SRSD with fine spatial resolution is costly and the aerial coverage is less. Use of multiple frames of SRSD in the estimation process of crop production can increase the precision. We propose an estimator for the average yield of wheat for the state of Haryana, India. This estimator uses the information from the Wide Field Sensor (WiFS) and the Linear Imaging Self Scanner (LISS-III) data from the Indian Remote Sensing satellite (IRS-1D) and the crop cutting experiment data collected by probability sampling design from a list frame of villages. We find that the relative efficiencies of the multiple-frame estimators are high in comparison to the single frame estimators.
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