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Spectroscopic Methods for Mapping Metamorphic Rocks

Spectroscopic Methods for Mapping Metamorphic Rocks
变质岩绘图的光谱方法
批准号:
9706629
负责人:
Edward Duke
金额:
$21.42万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-07-15 至 2001-06-30

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中文摘要
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英文摘要
9706629 Duke This project will examine potential applications of spectroscopic methods to supplement traditional methods of field mapping to extend the results of modern laboratory analysis to regional-scale, high-spatial-resolution maps of metamorphic terranes. It is proposed that spectroscopic methods can be used to produce maps of mineral distribution, maps of relative or absolute mineral abundance, and amaps of chemical variation. Tasks include: (1) forward modeling of simple metamorphic reactions using library mineral spectra to evaluate the spectral response of metamorphic processes, (2) inverse modeling of spectra of synthetic mixtures and natural rocks to evaluate and improve the accuracy of spectral decomposition methods for estimating mineral abundance, (3) correlation of mineral-chemical variations with spectral adsorption band shifts to evaluate the sensitivity of spectroscopy, (4) conduct new field studies to test results of tasks 1-3, (5) evaluate the applicability of spectroscopic methods to low-grade metamorphism through analysis of synthetic mixtures, natural samples, and field studies and (6) convolve model and real rock spectra to spectral resolutions of current and planned remote sensing spectrometers to evaluate the sensitivity of different sensors to metamorphic processes. The greatest impact of this research will be to develop the framework for integrating these new techniques into the study of metamorphic processes.
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会议论文
Quantifying Metamorphic Processes With Remote Sensing and Field Spectroscopy
US-Namibia Cooperative Research: Potential of Hyperspectral Remote Sensing for Geological Mapping and Resource Evaluation in Arid Regions When Used in the Damaran Terrane
Upgrading of Scanning Electron Microscope for Chemical and Morphological Feature Analysis
Fluid Flow Around a Mid-Crustal Granite Pluton: Evidence from Fluid Inclusions
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海外基金
Computational Methods for Analyzing Toponome Data