Spectral

The spectral resolution specifically applies to passive imaging sensors. It is a measure of how narrow a band of light can be captured and quantified. Required spectral resolution depends on the uniqueness of the spectral reflectance of your intended target. The more unique (or narrow) the signature, the higher spectral resolution required.

For a detailed analysis of spectral signatures, the data must be spectrally calibrated. See Spectral under Control & Calibration.

Lastly, note that high spectral resolution almost always comes at the sacrifice of lower spatial resolution. If a sensor is tuned to a specific energy/band of light, it has fewer photons to work with. Fewer photos mean our signal to noise ratio is reduced. For example, a sensor capturing red, green, and blue light is capturing photons in each of those bands. This gives us many photons to measure and keeps our signal to noise ratio at acceptable levels. Now if we have a sensor that only captures red light, then we are only working with red-band photons. With these fewer photons, we need to lower our spatial resolution, because if we kept it the same, our image would be too noisy.