Abstract
The present study was performed in some parts of Madhya Pradesh and Chhattisgarh State, India to compare the different quartz indices, feldspar indices and mafic indices according to Ninomiya (2005) and Guha (2016) using thermal infrared (TIR) bands (band 10, band 11, band 12, band 13, and band 14) of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data for detecting quartz, feldspar and mafic minerals. Results showed that these indices are equally useful for delineating quartz, feldspar or mafic minerals. It was noticed from the correlation coefficients that Guha’s mafic index (GMI) and Ninomiya’s mafic index (NMI) presented almost the same result. Guha’s quartz index (GQI) was more powerful than Ninomiya’s quartz index (NQI) in identifying quartz content in alkali granites and this GQI was also comparable with the Rockwall and Hofstra’s quartz index (RHQI) in identifying quartz content in alkali granite.
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The authors are thankful to the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL).
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Govil, H., Guha, S., Diwan, P., Gill, N., Dey, A. (2020). Evaluation of ASTER TIR Data-Based Lithological Indices in Parts of Madhya Pradesh and Chhattisgarh State, India. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-32-9949-8_12
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DOI: https://doi.org/10.1007/978-981-32-9949-8_12
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