Near infrared spectra of muscovite, Tschermak substitution, and metamorphic reaction progress; implications for remote sensing
Near infrared spectra of muscovite, Tschermak substitution, and metamorphic reaction progress; implications for remote sensing
Geology (Boulder) (July 1994) 22 (7): 621-624
- alkaline earth metals
- aluminum
- applications
- Black Hills
- crystal chemistry
- Custer County South Dakota
- electron probe data
- grade
- infrared spectra
- iron
- magnesium
- metagraywacke
- metals
- metamorphic rocks
- metamorphism
- metasedimentary rocks
- mica group
- muscovite
- near-infrared spectra
- Pennington County South Dakota
- Precambrian
- remote sensing
- sheet silicates
- silicates
- silicon
- South Dakota
- spectra
- substitution
- United States
- southwestern South Dakota
- Tschermak substitution
Near infrared (NIR) spectra of Precambrian metagraywacke in the Black Hills, South Dakota, demonstrate that reflectance spectroscopy can be used to monitor progressive changes in mineral chemistry as a function of metamorphic grade. The wavelength of a combination Al-O-H absorption band in muscovite, measured using both laboratory and field-portable NIR spectrometers, shifts from 2217 nm in the biotite zone to 2199 nm in the sillimanite + K-feldspar zone. The band shift corresponds to an increase in the Al (super vi) content of muscovite, determined by electron microprobe, and is thus a monitor of Al (sub 2) Si (sub -1) (Fe,Mg) (sub -1) (Tschermak) exchange. Spectroscopic measurements such as these are useful in the case of aluminum-deficient rocks, which lack metamorphic index minerals or appropriate assemblages for thermobarometric studies, and in low-grade rocks (subgarnet zone), which lack quantitative indicators of metamorphic grade and are too fine grained for petrographic or microprobe studies. More important, spectroscopic detection of mineral-chemical variations in metamorphic rocks provides petrologists with a tool to recover information on metamorphic reaction histories from high-spectral-resolution aircraft or satellite remote sensing data.