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一、引言气象卫星遥感资料用于农作物估产,近年来世界各地已普遍展开。气象卫星遥感信息由于分辩率较低,混合像元所占比例较大,往往使图像失去提取细节的价值,因此需做必要订正。本文介绍天津市冬小麦估产中应用平均方程残差对NOAA卫星AVHRR传感器通道1和2的CCT资料进行的区域订正。结果表明此种方法有效,可使估产的准确率提高2％以上。二、资料来源和基本方法 NOAA卫星CCT资料由国家气象局卫星
I. INTRODUCTION Meteorological satellite remote sensing data are used for the estimation of crops. In recent years, the data have been widely spread all over the world. The meteorological satellite remote sensing information due to lower resolution, a larger proportion of mixed pixels, the image often lose the value of extraction details, it is necessary to make the necessary corrections. This paper introduces the regional correction of the CCT data of NOAA satellite AVHRR sensor channels 1 and 2 using the mean equation residuals in the estimation of winter wheat yield in Tianjin. The results show that this method is effective, the estimated yield of more than 2% accuracy. Second, sources and basic methods NOAA satellite CCT data from the National Meteorological Satellite