We simulated the reflectance of typical vegetation in the red-edge region before and after the channel center wavelength shift of hyperspectral remote sensors to quantitatively examine the effect of the channel center wavelength shift on the red edge spectra. The results show that the channel center wavelength shift leads to many "spike" and "shake" phenomena in the reflectance curves of the red-edge region, and the reflectance curves in the region without characteristic absorption become unsmooth. Moreover, there is a significant linear relationship between the channel center wavelength shift and the red edge position (REP) error (coefficient of determination R²=0.99). For a 10 nm hyperspectral remote sensor, when the channel center wavelength shifts are 1 nm, 3 nm, and 5 nm, the maximum errors in red-edge reflectance are 1.46%, 4.49%, and 9.57%, respectively, and the red edge spectra have the obvious "blue shift" phenomenon, with the REP shifting by 0.75 nm, 2.60 nm, and 5.52 nm, respectively. The channel center wavelength shift will lead to the pseudo-shift of the red edge or cause the "covering" or "strengthening" effect on the red edge shift induced by vegetation stress, which will directly affect the monitoring accuracy of vegetation stress based on hyperspectral remote sensing data. Channel center wavelength shift is an important source of the red edge shift. Accurate spectral calibration is the important basis of quantitative application related to the red edge spectra of vegetation.