The grassland biomass monitoring by remote sensing technology in theQinghaiTibet Plateau

The biomass data from field survey during August and September 2006 in Qinghai province and correspondingly MODIS image data was used to establish the model of biomass monitoring by using vegetation index EIV and NDVI, and the accuracy of this model was also assessed in this study. This study showed that: EVI has stronger correlation with above ground biomass than NDVI, and the correlation between EVI and biomass increased with the increase of grassland coverage for each grassland cover grade. The optimal models was calculated the grass biomass of different types of grassland from 2002 to 2008 in QinghaiTibet Plateau. The seasonal change of grassland biomass with higher productivity was more severe, implying that the grassland types would be influenced by climate change greatly. The seasonal change of grassland biomass with lower productivity was not sensitive to climate change.