应用NOAA/AVHRR资料进行草地遥感估产模型的研究

Yield Estimation of Alxa Grassland by Using NOAA/AVHRR Data

应用NOAA/AVHRR遥感资料,推导提出了以草地型为“面”取样,“面”对“面”样本匹配(即一定面积内草地的单位产量与该范围内的平均植被指数为一组样本)的建模方式,克服了“点”对“点”(“像元”对“像元所对应的地物点”)样本不能很好匹配的缺点,并建立了阿拉善草地的产量估产模型.

It is hard to find the exactly homologous NOAA image＇s pixel of the point on ground or the exactly homologous point on ground of the NOAA image＇ s pixel because NOAA images have the resolution of 1.1 km and the RMS error of the rectified NOAA image is more than 1 - 2 pixels. So it is also hard to establish a function between pixel of NOAA image and homologous point on ground using the method point （ image pixel） against point. In this paper, the linear equations of estimating yield in Alxa grassland were built by area against area using NOAA/AVHRR Data, that is ,between some area of grassland yield and its corresponding average vegetation index（VI）. This method eliminated the shortcoming of point against point.