Differences among spectral signatures are used to
help classify remotely sensed images into classes
of landscape features since the spectral
signatures of like features have similar shapes.
The more detailed the spectral information (e.g.
spectral resolution) recorded by a sensor, the
more information that can be extracted from the
spectral signatures.