Quantitative analysis of planetary reflectance spectra with principal components analysis

Details Quantitative analysis of planetary reflectance spectra with principal components analysis Quantitative analysis of planetary reflectance spectra with principal components analysis

Feb 1985

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1985lpsc...15..805j&link_type=abstract

(Lunar and Planetary Institute, NASA, American Geophysical Union, et al., Lunar and Planetary Science Conference, 15th, Houston,

Other

11

Astronomical Spectroscopy, Lunar Composition, Lunar Rocks, Lunar Soil, Planetary Craters, Spectral Reflectance, Abundance, Basalt, Data Acquisition, Eigenvalues, Eigenvectors, Wavelengths, Planets, Reflectance, Analysis, Techniques, Spectra, Composition, Abundance, Mixing, Physical Properties, Telescopic Methods, Moon, Copernicus, Wavelengths, Models, Maria, Basalt, Soil, Highlands, Clinopyroxene, Samples, Lunar

Scientific paper

A technique is presented for quantitative analysis of planetary reflectance spectra as mixtures of particles on microscopic and macroscopic scales using principal components analysis. This technique allows for determination of the endmembers being mixed, their abundance, and the scale of mixing, as well as other physical parameters. Eighteen lunar telescopic reflectance spectra of the Copernicus crater region, from 600 nm to 1800 nm in wavelength, are modeled in terms of five likely endmembers: mare basalt, mature mare soil, anorthosite, mature highland soil, and clinopyroxene. These endmembers were chosen from a similar analysis of 92 lunar soil and rock samples. The models fit the data to within 2 percent rms. It is found that the goodness of fit is marginally better for intimate mixing over macroscopic mixing.

Affiliated with

Also associated with

No associations

Rating

Quantitative analysis of planetary reflectance spectra with principal components analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Quantitative analysis of planetary reflectance spectra with principal components analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantitative analysis of planetary reflectance spectra with principal components analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1593498