Remote sensing of reflectance
spectra of Earth and other planetary bodies can be useful for identifying
mineral distribution on their surfaces, especially in remote regions that are
exceedingly challenging to perform field-based investigation, and those
planetary surfaces yet to have in situ observation, mapping, characterization,
sampling, and analyses.
Many different factors, however,
can influence the surface spectra, such as various alteration and weathering
processes, and observational conditions. Because a reflectance spectrum is
a complex non-linear mixture of the above mentioned factors.
It is highly challenging to
segregate each factor and extract the true mineral spectra, based solely on
remotely observed reflectance spectra, and thus confidence in the resulting
signatures should be gained by comparing with the reference spectra obtained by
field or laboratory measurements.
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