In order to understand a mechanism that causes global warming, we need to clarify a spatial and temporal variation in terrestrial carbon exchanges, leading to accurately assess carbon fluxes with ground- and satellite-observations. Then, we try to estimate carbon fluxes at regional scale using satellite observations and biosphere model. Model used is Biosphere model integrating Eco-physiological And Mechanistic approaches using Satellite data (BEAMS). Firstly, BEAMS run at plot-scale using meteorological and vegetation parameters measured at six flux-tower site, and the estimations are compared with flux measurements at the same flux-tower site as site where model inputs are measured. As a result, the model estimation is comparatively a good agreement with ground measurements regarding its peak value, and changes in leafing and leaf dropping stage . Secondly, we calculate a spatial pattern in GPP over Further East Asia in 2001-2006 based on satellite data and BEAMS validated by ground measurements. We found that the spatial pattern would be reasonable (e.g. low GPP values are in urban and forest limit comparing with the surrounding area). Here, combining ground measurements with satellite observations via biosphere model, we could more accurately understand a spatial pattern in terrestrial carbon fluxes.