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Superspectral imaging is a type of spectral imaging defined by the number and width of the spectral bands. It also is written as "super-spectral". Superspectral imaging is typically defined as more than 10 spectral bands, with some being narrower than their counterparts in multispectral imaging.^[1] The larger number of bands and narrower bandwidths enable finer characterization of target spectral characteristics than multispectral imaging.^[1] Hyperspectral imaging describes yet higher spectral resolution, with hundreds of very narrow contiguous spectral bands.

Examples of superspectral imaging satellites include:

ASTER, MERIS, and MODIS

References

^ ^a ^b "Optical Remote Sensing Tutorial". CRISP, National University of Singapore. Retrieved 12 December 2013.

[crisp-1] "Optical Remote Sensing Tutorial". CRISP, National University of Singapore. Retrieved 12 December 2013.

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