Abstract: ASTER image has important application potential in agriculture for more precise spatial and spectrum resolution. In this study, several field experiments were carried out at 21 study fields of Beijing suburb in 2004, according to the pass time of Terra satellite -the platform placed on the ASTER. Some correlation analyses between winter wheat leaf chlorophyll and leaf nitrogen, wheat leaf nitrogen and grain protein, and wheat canopy spectrum information from the ASTER image with wheat leaf biochemical content and grain quality were made to all study fields in this paper. Then the results show that at the filling stage of winter wheat, the leaf biochemical parameters chlorophyll has good correlation with the spectrum parameters NDVI, and the grain protein has good relation with the ASTER band 2. By using the model that established by ASTER spectrum information and wheat leaf chlorophyll and grain protein information, people can acquire the wheat growth information and in some degrees, can investigate the wheat quality of the whole area. The results also show that it is feasible to use remote sensing technology to predict the wheat quality. This research offered a new way and theory basis for remote sensing application.