Evaluation of ASTER TIR data-based lithological indices in Malanjkhand Copper Mines of Madhya Pradesh, India

IF 0.9 Q4 GEOSCIENCES, MULTIDISCIPLINARY Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2020-01-02 DOI:10.1080/25726838.2019.1684018

S. Guha, H. Govil

{"title":"Evaluation of ASTER TIR data-based lithological indices in Malanjkhand Copper Mines of Madhya Pradesh, India","authors":"S. Guha, H. Govil","doi":"10.1080/25726838.2019.1684018","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study focuses on the Malanjkhand Copper Mines area of Madhya Pradesh, India and compares different types of quartz, feldspar and mafic remote sensing indices used for the detection of quartz, feldspar and mafic minerals using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared (TIR) bands. Our data indicate that these lithological indices are useful for delineating quartz, feldspar or mafic minerals. Correlation matrices generated for various lithological indices indicate that both Guha's (GMI) and Ninomiya's (NMI) mafic indices yield nearly identical results. In addition, Guha's quartz index (GQI) yields significantly better results than Ninomiya's quartz index (NQI) during the identification of the quartz content. This study also shows that GQI is comparable with the Rockwall and Hofstra's quartz index (RHQI) for the identification of the quartz content. Hence, ASTER TIR data-based remote sensing indices play a key role in lithological mapping.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"3 - 8"},"PeriodicalIF":0.9000,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2019.1684018","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/25726838.2019.1684018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 10

Abstract

ABSTRACT This study focuses on the Malanjkhand Copper Mines area of Madhya Pradesh, India and compares different types of quartz, feldspar and mafic remote sensing indices used for the detection of quartz, feldspar and mafic minerals using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared (TIR) bands. Our data indicate that these lithological indices are useful for delineating quartz, feldspar or mafic minerals. Correlation matrices generated for various lithological indices indicate that both Guha's (GMI) and Ninomiya's (NMI) mafic indices yield nearly identical results. In addition, Guha's quartz index (GQI) yields significantly better results than Ninomiya's quartz index (NQI) during the identification of the quartz content. This study also shows that GQI is comparable with the Rockwall and Hofstra's quartz index (RHQI) for the identification of the quartz content. Hence, ASTER TIR data-based remote sensing indices play a key role in lithological mapping.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于ASTER TIR数据的印度中央邦Malanjkhand铜矿岩性指标评价

摘要本研究以印度中央邦的马兰贾汗铜矿区为重点，比较了不同类型的石英、长石和镁铁质遥感指数，这些指数用于使用先进的星载热发射和反射辐射仪（ASTER）热红外（TIR）波段探测石英、长石及镁铁质矿物。我们的数据表明，这些岩性指数可用于描述石英、长石或镁铁质矿物。为各种岩性指数生成的相关矩阵表明，Guha（GMI）和Ninomiya（NMI）镁铁质指数产生的结果几乎相同。此外，在石英含量的鉴定过程中，Guha的石英指数（GQI）产生的结果明显好于Ninomiya的石英指数。本研究还表明，在石英含量的鉴定方面，GQI与Rockwall和Hofstra石英指数（RHQI）相当。因此，基于ASTER TIR数据的遥感指数在岩性测绘中发挥着关键作用。

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

Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy GEOSCIENCES, MULTIDISCIPLINARY-

CiteScore

1.70

自引率

10.00%

发文量