Analysis of variance (ANOVA) was used to examine the differences in spectral responses between the various mangrove species and their conditions. Specifically, responses were examined based on the mean reflectance at every 10 wavebands and the independent factors included the 215 wavelength regions (average reflectance of every 10-nm wavelength regions), the species, and their interactions. The same analysis was conducted by replacing the species with the mangrove condition. The Pearson’s correlation and linear regression were then utilized to examine the relationship between pigment content and spectral response. The coefficient of determination () was selected as the standard for determining the applicability of wavelengths and vegetation indices for the measurement of pigment content. These three statistical methods—ANOVA, Pearson’s correlation, and linear regression—were performed on the red mangrove sample (healthy and poor conditions), the black mangrove sample (healthy, dwarf, and poor conditions) and the entire sample (i.e., pooled). One healthy and two poor condition red mangrove individual samples were also excluded from the analyses because they were determined to be influential points (i.e., outliers that would have dramatically changed the regression equations). These three samples were considered abnormal samples that simply did not represent the conditions they were originally grouped into. To identify any potential influential points, an initial check was conducted using scatter plots. Using scatter plots, outliers can be easily recognized and, if far enough away from the mean, they can be identified as influential points. Four statistical measures (studentized residual, leverage, Cook’s D, and DFFITS) were then calculated to determine whether any outliers with extreme values should be removed for analysis. The conventional cut-off values of 3, , , and were used for the studentized residuals, leverage, Cook’s D and DFFITS statistics, respectively.