Chlorophyll is vital in the physiological processes of plants. Using hyperspectral data, it will be helpful to reveal the relationship between chlorophyll concentration and spectral reflectance features precisely. For this purpose, six subtropical evergreen hardwood species were selected; the reflectance and chlorophyll concentration were measured using portable spectroradiometer and traditional spectrophotometer method, respectively. The relationship between the feature reflectance and total chlorophyll concentration was analyzed. The results showed that:
(1) The red edge position of the reflectance and the average reflectance around it in a very narrow wavelength region (only several nanometers) all have strong correlations with total chlorophyll concentrations, and the correlation coefficients were basically above 0.9.
(2) The mechanism was analyzed combined with the ecophysiological feature of the species from the perspective of hyperspectral remote sensing. The regression models established in this study have higher precision and good prospects for application.