Comparison of GIMMS, VGT and MODIS Vegetation Index Datasets in Eastern China
Remote sensing data sets from GIMMS NDVI,VGT NDVI and MODIS NDVI/EVI have been widely used in the studies related to vegetation change. Many previous studies have evaluated the consistency among these different data sets. However,less attention has been paid to study of the influence of seasonal cycle of vegetation,which probably amplifies the relationships among different data sets. Interannual variability of vegetation and the influence of the seasonality of vegetation on the consistency of different remotely sensed datasets had been investigated using GIMMS NDVI, VGT NDVI and MODIS NDVI/EVI products in eastern China from the period 2000 to 2006. The results indicate that all of these datasets show similar trends of the interannual variability of vegetation,whereas,the seasonality of the vegetation data o-vershadows the difference of different remote sensing data sources. The vegetation indices derived from GIMMS,VGT and MODIS show significant correlation before removing the seasonality,while the relationships among them decrease obviously after removing the seasonality. In general, the consistency of GIMMS, VGT and MODIS still remains in the northern part of eastern China. The differences among them mainly occur in the southern part. In particular, the most rapid decrease of correlation occurs between GIMMS and MODIS. The correlation between them has not been observed in large parts of the region located south of the Huai River.
NETL
NSTL
万方数据
维普
