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Promoting the application of domestic remote sensing satellite in natural resources and environment monitoring is very important to accelerate the development of national space research and reduce scientific activities cost. The recent launched satellite HJ-1A/B has the characteristic of high time resolution and can acquire hyperspectral image. These make it has the prosperous future in terrestrial resources detection. In the summer of 2009, the study obtained three images and corresponding grass dry biomass in Hulunbeier area. They were used to study the feasibility of using HJ-1A/B multispectral image and spectral indices for grassland biomass prediction. The result showed image based on calculation of spectral indices, including NDVI, OSAVI, MSAVI, SAVI, EVI, MTVI2, WDRVI, GNDVI, have good relationship with grass biomass. MTVI2 gained the best result with R² value of 0.61, meanwhile the cross validation result of it was also permissible with R² value of 0.58 and RMSE value of 58.6 g·m^-2. The map of grass biomass in the research area can be produced using MTVI2 and HJ multispectral imagery.