Hello. I am trying to run a maximum likelihood classification (MLC) using a spectral signature that was taken using a field handheld spectrometer. I have input the spectral signature into a resampled spectral library and everything looks good. However, I do not know how to use the spectral library as input to my supervised classification. Is there a way to run an MLC with a spectral library or signature? This seems possible from my understanding. MLC uses ROIs to calculate an average spectral signature and then classifies the remaining pixels based on those signatures, right? So is it possible to bypass the ROI and imagery based spectral library using an external spectral signature? Chad.