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The NOAA is a special meteorological satellite. The first and second channels of the AVHRP (the sensor of NOAA) are much similar to the fifth and seventh channels of the resource satellite MSS, and their corresponding spectral response curves are much alike. The AVHRR'S first channel has a higher reflectivity from soil, and the second channel is highly reflected by vegetation. By virtue of its wide sensitivity range, multiple reception orbitals, economical and convenient, it has been used in the W.S.A. in the agricultural estimation.According to the characteristic spectra from the vegetation, and through the digital exchange of the measuraed values on the first and second channels of the NOAA/AVHRR, We established a servies of green models which can be need in making agricultural estimation satisfactorily.As expesimentally showed that these green models highly correlated to the yeild of crops. This has been presently becoming the main information sources for yield estiraatings. With the forecast of the  相似文献   
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本研究以天津市冬小麦估产为模式,阐明了NOAA/AVHRR资料应用于中小尺度地区农业产量预报的可行性。在分析资料时,运用水面的光谱值校正大气因子,采用地理现状底图排除混杂因素,使资料趋于稳定;在利用植被指数与产量因子建立各种回归预报方程时,进行了区域订正和积温订正,从而使预报准确率达到95%左右。  相似文献   
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