The Chinese GF-1 satellite, the first satellite of the China High-resolution Earth Observation System launched in 2013, can be used to help estimate evapotranspiration (LE), which is important for myriad hydroclimatic and ecosystem science and applications. We propose a novel approach to use the GF-1 visible and near-infrared (VNIR) measurements at 16 m and 4-day resolutions to estimate LE. The NIR (near-infrared)-red spectral-domain (NRSD) model is coupled to a perpendicular soil moisture index (PSI) and a perpendicular vegetation index (PVI). We applied the model to the Huailai agricultural region of China with 55 scenes of GF-1 imagery during 2013-2017 and validated using ground measurements with footprint models for two eddy-covariance (EC) flux tower sites and one large aperture scintillometer (LAS) site. The results illustrate that the terrestrial daily LE can be estimated with squared correlation coefficients (<inline-formula> <tex-math notation="LaTeX">R^{2} </tex-math></inline-formula>) of 0.77-0.84 (<inline-formula> <tex-math notation="LaTeX">p < 0.01 </tex-math></inline-formula>) and root-mean-square error (RMSE) values of 17.9-21.5 W/m 2 among all three sites. The site-calibrated statistics are improved by 0.14-0.25 for <inline-formula> <tex-math notation="LaTeX">R^{2} </tex-math></inline-formula> and decreased by 4.2-8.3 W/m 2 for RMSE as compared to the commonly used universal PT-JPL model. A satisfactory performance is achieved across all experimental conditions, encouraging the application of the NRSD model to estimate LE for other broad regions.