Modelling Reflectance Spectra of Muscovite as Function of Aluminium Content and Grain Size Using Hapke Model

H. Kumar, A. Rajawat
{"title":"Modelling Reflectance Spectra of Muscovite as Function of Aluminium Content and Grain Size Using Hapke Model","authors":"H. Kumar, A. Rajawat","doi":"10.1109/InGARSS48198.2020.9358975","DOIUrl":null,"url":null,"abstract":"Muscovite is an important mineral commonly found in hydrothermal systems of Earth and Mars. Reflectance spectra of muscovite has several diagnostic absorption features in wavelength range 0.4-2.5 µm. The absorption feature near 2.20 µm is sensitive to alumina content variations. In this study, we use reflectance spectra of powdered muscovite and geochemical datasets to quantify the relationship between spectral shift and alumina content. Imaginary index of refraction (k) was derived from reflectance spectra and a linear model was proposed relating alumina content and k. Reflectance spectra of muscovite was modelled for varying alumina content and grain size using Hapke model. Modelled spectra shows shift in wavelength position of 2.20 µm with varying alumina content and deepening of absorption features with increase in grain size. The results shall be helpful in interpretation of reflectance spectra acquired from space borne and airborne platforms.","PeriodicalId":6797,"journal":{"name":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","volume":"43 2 1","pages":"122-125"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InGARSS48198.2020.9358975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Muscovite is an important mineral commonly found in hydrothermal systems of Earth and Mars. Reflectance spectra of muscovite has several diagnostic absorption features in wavelength range 0.4-2.5 µm. The absorption feature near 2.20 µm is sensitive to alumina content variations. In this study, we use reflectance spectra of powdered muscovite and geochemical datasets to quantify the relationship between spectral shift and alumina content. Imaginary index of refraction (k) was derived from reflectance spectra and a linear model was proposed relating alumina content and k. Reflectance spectra of muscovite was modelled for varying alumina content and grain size using Hapke model. Modelled spectra shows shift in wavelength position of 2.20 µm with varying alumina content and deepening of absorption features with increase in grain size. The results shall be helpful in interpretation of reflectance spectra acquired from space borne and airborne platforms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用Hapke模型模拟白云母反射光谱随铝含量和晶粒尺寸的变化
白云母是地球和火星热液系统中常见的重要矿物。白云母的反射光谱在波长0.4 ~ 2.5µm范围内具有几个诊断吸收特征。在2.20µm附近的吸收特性对氧化铝含量的变化很敏感。在本研究中,我们利用白云母粉末的反射光谱和地球化学数据集来量化光谱位移与氧化铝含量之间的关系。利用反射光谱推导出虚折射率(k),并建立了氧化铝含量与k的线性关系模型。利用Hapke模型对白云母的反射光谱进行了氧化铝含量和晶粒尺寸变化的建模。模拟光谱显示,随着氧化铝含量的变化,波长位置发生了2.20µm的位移;随着晶粒尺寸的增大,吸收特征加深。结果将有助于解释从星载和机载平台获得的反射光谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
InGARSS 2020 Copyright Page Automatic Road Delineation Using Deep Neural Network Sparse Representation of Injected Details for MRA-Based Pansharpening InGARSS 2020 Reviewers Experimental Analysis of the Hongqi-1 H9 Satellite Imagery for Geometric Positioning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1