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本文通过对国内接收的NOAA气象卫星AVHRR数字影像资料的处理和分析,进行了植被季相动态遥感应用研究。针对植被目标中AVHRR存在的数据误差,并参考国外经验对原始数据进行了改正。用可见光和近红外通道信息生成的绿色植被指数(GVI)作为植被生长状况的判读标准。对1983年至1984年接收的多时相影像系列的应用分析表明,NOAA/AVHRR影像可清楚反映宏观植被季相变化中的绿波与褐波效应及垂直地带的物质差异,体现了NOAA/AVHRR在宏观环境动态遥感中应用的前景。
In this paper, through the processing and analysis of the AVHRR digital image data of NOAA meteorological satellite received in China, the application of dynamic remote sensing vegetation seasoning was studied. Aiming at the data error of AVHRR in vegetation target, the original data was corrected with reference to foreign experience. The Green Vegetation Index (GVI) generated by visible and near-infrared channel information is used as a criterion for vegetation growth. The application analysis of the multi-temporal imaging series received from 1983 to 1984 shows that the NOAA / AVHRR images can clearly reflect the green and brown wave effects in the seasonal variation of macro-vegetation and the material differences in the vertical zones, indicating that NOAA / AVHRR Prospects of Application in Dynamic Monitoring of Macro Environment.