The gross primary productivity (GPP) of terrestrial ecosystems is an important component of the carbon cycle of terrestrial ecosystems. Accurate calculation of GPP helps to understand the response of terrestrial ecosystems to climate change and human activity. In order to more accurately and comprehensively grasp the carbon sequestration of global terrestrial ecosystems, the simple linear model proposed by GUANTER was improved. Using FLUXNET2015 flux data, GOME-2 chlorophyll fluorescence data, MODIS vegetation index products and land cover data, temperature stress factors and saturated water vapor stress factors were added to the model. The estimated results of the simulation were improved compared with the estimates of traditional simple linear model. Among the 13 flux sites, the estimation accuracy of 10 flux sites was improved. In addition, in order to further improve the estimation accuracy of the model, canopy escape rate of chlorophyll fluorescence was also simulated based on the model incorporating environmental impact factors. The results showed that the estimation accuracy of all 13 flux sites was improved compared with the estimates of traditional simple linear models and models incorporating environmental impact factors. In conclusion, the addition of environmental impact factors and vegetation indices to traditional linear models improved the estimation accuracy of the model.