Accurate estimation of terrestrial latent heat flux (LE) at high spatial resolution is of great vital importance for energy balance and water resource management, especially for agricultural production at field scale. However, there are relatively few LE products based on Chinese GaoFen-1 (GF-1) remote sensing data. In this study, we used GF-1 satellite data with a 16 m spatial resolution over the part regions of Ethiopia, Laos and Pakistan, and generated the LE products using Modified Satellite-based Priestley-Taylor model. LE products based on GF-1 data were aggregated to a 1 km spatial resolution to be validated by Global LAnd Surface Satellite (GLASS) LE products with the same spatial resolution as reference values. The validation results demonstrated that the 16 m GF and 1 km GLASS LE products of the three countries all presented good spatial consistency, and the coefficient of determination of LE estimates based on GF-1 data against GLASS LE products were all greater than 0.6, indicating that the accuracy of LE products based on GF-1 data was high. LE estimation based on GF-1 data is of great significance for energy balance and water resource precision management.