What is Spectrum Averaging?
If signal levels are low, the only way to increase S/N is by reducing noise through spectrum averaging. However, spectrum averaging takes more time per spectrum. The drawback to this is that the resultant data can be compromised by introducing low-frequency noise factors, such as varying cloud conditions or sudden gusts of wind changing the color of the tree canopy. To reduce the effects of low-frequency noise conditions like those found outdoors we recommend taking multiple spectra with spectrum averaging set to 10 – 25, then further average those spectra in post-processing using the ViewSpec™ Pro program. ViewSpec™ Pro also permits viewing large groups of files.