The study focused on improving forest growth estimates by using GBN to integrate two sources providing forest growth estimates, i.e. 3-PG model and satellite images. Such integration can be applied to different types of forests by giving more attention to remote sensing images. The study concluded that forest growth estimates could be improved using GBNs. Moreover, formulating the EM-algorithm within a GBN can adequately handle missing satellite data and improve estimation of forest growth estimates. Ultimately, this study contributed to provide the means for an accurate and reliable estimation of forest growth estimates.