辽宁省旱田MODIS植被指数时间序列的构建

随着EOS卫星的升空,人们最关注的是NOAA的NDVI产品能否延续以及能否用高分辨率的产品替代,因此笔者利用2005—2008年并行观测4年间5月下旬—9月下旬的MODIS-NDVI和AVHRR-NDVI资料,通过对NDVI时序的预处理,采取分区评价的方法研究二者之间的拟合关系。根据AVHRR-NDVI资料,重构1999—2009年MODIS-NDVI的长时间序列。结果表明:MODIS-NDVI与AVHRR-NDVI之间有着极为显著的线性关系,相关系数为0.675～0.906(n=52),其中辽西最高,辽北、辽中地区次之,辽南稍低。通过检验,该拟合方程准确率除辽中地区平均准确率75%外,其他地区拟合方程的准确率都超过80%,拟合效果理想。通过长时间序列植被指数的变化特征,明显地反映出植被对气候变暖的响应,为探寻植被与气候之间的关系提供了依据。

Time Series Construction of MODIS-NDVI on Dry-Land in Liaoning Province

Along with EOS satellite lift-off,what the people most pay attention is whether the NDVI product of NOAA to continue as well as whether to use the high resolution the product to substitute.therefore the author used MODISNDVI and the AVHRRNDVI material during 4 years in late May to late September from 2005 to 2008,through to the NDVI succession ＇ s pretreatment,and adopted the district appraisal and studied the two＇s fitting relations.According to the AVHRRNDVI material,restructured MODISNDVI the long time series from 1999 to 2009.The results indicated：MODISNDVI and AVHRRNDVI has the extremely remarkable linear relationship,the correlation coefficient was 0.675-0.906 （n =52）,Liaoxi is highest,Liaobei,Liaozhong area are next,Liaonan is slightly low.Through the examination,this fitting equation rate of accuracy besides the Liaozhong area average rate of accuracy 75%,other local fitting equation ＇ s rate of accuracy surpassed 80%,the fitting effect was ideal.Through the long time series vegetation index＇s change characteristic,reflected the vegetation to the climate warming response and to inquire about that between the vegetation and the climate relations provided have depended on according.