Publication Type : Conference Paper
Publisher : IEEE
Source : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) (2017)
Url : https://ieeexplore.ieee.org/abstract/document/8397231
Keywords : animal, azurite, basavakote, bornite, chalcopyrite, copper, copper mineral, Corrosion resistance, cuprite, Energy resolution, ENVI software, ENVI software (Environment for Visualizing Images), geochemistry, geophysical signal processing, HyperSpectral, Hyperspectral imaging, Hyperspectral remote sensing technique, Hyperspectral remote sensing techniques, Image resolution, India, Karnataka, Living organisms, malachite, Minerals, mining, mining operations, probability, Remote sensing, spectoradiometer, Spectral analysis, spectral analyst technique, Spectroradiometer, USGS, USGS-Earth Explorer
Campus : Coimbatore
School : School of Biotechnology, School of Engineering
Center : Biotechnology, Electronics Communication and Instrumentation Forum (ECIF), Phytochemistry Labs
Department : Electronics and Communication, biotechnology, Chemistry
Verified : Yes
Year : 2017
Abstract : The Copper mineral has various uses and it's demand in India is found to be increasing. Copper is essential for human beings, animal and all living organisms. Copper in metal form is also very important. Finding traces of this mineral in India will increase the country's mineral resource and can be used for mining operations. The mineral is generally found in ores like cuprite, azurite, chalcopyrite, bornite and malachite. Copper's property of corrosion resistance and good conductor of heat and electricity makes its purpose most important in the construction field. Using hyperspectral remote sensing techniques, the presence of copper in basavanakote, karnataka is found. The hypespectral remote sensing technique gives high resolution because of its continuous 242 bands. The data is obtained from the USGS - Earth Explorer. This data is being processed using the ENVI software. The presence of copper in the study area is determined by spectral analyst technique. It provides a probability score of 79.43%. The obtained result is then validated using a Spectoradiometer.
Cite this Research Publication : J. Aravinth and S. Roopa, "Identifying traces of copper in basavakote, Karnataka using hyperspectral remote sensing," 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017, pp. 1-6, doi: 10.1109/TAPENERGY.2017.8397231.