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

Evaluation of ASTER TIR data-based lithological indices in Malanjkhand Copper Mines of Madhya... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Earth Science Taylor & Francis

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

Guha, Subhanil; Govil, Himanshu
Applied Earth Science , Volume 129 (1): 6 – Jan 2, 2020
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Evaluation of ASTER TIR data-based lithological indices in Malanjkhand Copper Mines of Madhya Pradesh, India

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...
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Publisher
Taylor & Francis
Copyright
© 2019 Institute of Materials, Minerals and Mining and The AusIMM
ISSN
2572-6838
eISSN
2572-6846
DOI
10.1080/25726838.2019.1684018
Publisher site
See Article on Publisher Site

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.

Journal

Applied Earth Science – Taylor & Francis

Published: Jan 2, 2020

Keywords: ASTER; feldspar; mafic; quartz; thermal infrared

References

  • Mapping the Buraburi granite in the Himalaya of Western Nepal: remote sensing analysis in a collisional belt with vegetation cover and extreme variation of topography
  • The pilot study on petrochemistry components mapping with ASTER thermal infrared remote sensing data
  • Mafic and ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function
  • Quartzose–mafic spectral feature space model: a methodology for extracting felsic rocks with ASTER thermal infrared radiance data
  • A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images
  • New ASTER derived thermal indices to delineate mineralogy of different granitoids of an Archaean Craton and analysis of their potentials with reference to Ninomiya's indices for delineating quartz and mafic minerals of granitoids—An analysis in Dharwar Craton, India
  • Thermal inertia imaging: a new geologic mapping tool
  • An infrared reflectance study of Si-O vibrations in thermally treated alkalisaturated montmorillonites
  • Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared radiance-at-sensor data
  • ASTER spectral sensitivity of carbonate rocks—study in Sultanate of Oman
  • Identification of quartz and carbonate minerals across northern Nevada using ASTER thermal infrared emissivity data-implications for geologic mapping and mineral resource investigations in well-studied and frontier areas
  • Lithologic mapping of the Mordor, NT, Australia ultramaficcomplex by using the Advanced Spaceborne thermal Emission and Reflection Radiometer (ASTER)
  • Thermal infrared (2.5–13.5μm) spectroscopic remote sensing of igneous rock types on particulate planetary surfaces
  • Lithological and mineralogical survey of the Oyu Tolgoi region, south-eastern Gobi, Mongolia using ASTER reflectance and emissivity data
  • Infrared characterization of interfacial Si−O bond formation on silanized flat SiO2/Si surfaces
  • Lithologic and mineral information extraction for gold exploration using ASTER data in the south Chocolate Mountains (California)