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Updated: Apr 23, 2026

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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
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[A study on the relationship between the composition and spectral feature parameters in chlorite]
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|October 2, 2014
Summary
This study links chlorite mineral composition to spectral characteristics using electron probe micro analysis. Findings reveal shifts in diagnostic spectral wavelengths, aiding hyperspectral remote sensing applications for mineral identification.
Area of Science:
- Mineralogy and Petrology
- Geochemistry
- Remote Sensing
Context:
- Understanding the relationship between mineral composition and spectral properties is crucial for geological surveys.
- Hyperspectral technology offers potential for detailed mineralogical analysis.
- Chlorite group minerals are common in various rock types and alteration assemblages.
Purpose:
- To investigate the intrinsic relationship between chlorite spectral characteristics and its chemical composition.
- To provide a basis for detecting mineral micro-information using hyperspectral technology.
- To analyze the correlation between spectral features and crystal-chemical parameters of chlorites.
Summary:
- Mineral characteristics and assemblages were identified in rock samples through thin-section analysis.
- Electron probe microanalysis (EPMA) determined the chemical composition of 146 chlorite particles.
- Spectral analysis revealed that diagnostic spectral wavelengths for chlorites shift towards longer wavelengths with changes in composition.
Impact:
- The study provides significant guidance for identifying mineral species, composition, and structural characteristics using hyperspectral remote sensing.
- Enhances the capability of remote sensing for mineral exploration and geological mapping.
- Contributes to a deeper understanding of chlorite mineralogy and its spectral behavior.
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