30 April 2016 Identification and mapping of minerals by using imaging spectroscopy in southeastern region of Rajasthan
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Abstract
Remote Sensing possess of new technological trend that empowered with advanced hyperspectral sensors which combine imaging and spectroscopy in a single system. Interpretation of remotely sensed imagery involve basics of spectroscopy for identifying and mapping minerals, as different minerals have unique reflectance and absorption pattern across different wavelengths, which act as their identifying signatures. In this paper Hyperion data have been used for mapping of minerals in Aravalli fold belt of the South-Eastern Rajasthan. Rock samples collected from the study area were used to generate spectra using Spectroradiometer in the laboratory conditions. The spectra generated were validated with USGS spectral library. The imageries have undergone standard image processing techniques, such as atmospheric correction through Fast line of sight atmospheric absorption for hypercubes (FLAASH) model, Minimum Noise Fraction (MNF), Pixel Purity Index (PPI), and N-d visualization for endmember selection. Further, Spectral Angle Mapper technique (SAM) was used for mapping minerals that belong to carbonate, clay and silicate groups.
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Chayanika Parashar, Richa Upadhyay Sharma, Shovan Lal Chattoraj, Vivek Kumar Sengar, Prashant Kumar Champati Ray, "Identification and mapping of minerals by using imaging spectroscopy in southeastern region of Rajasthan", Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 988013 (30 April 2016); doi: 10.1117/12.2223579; https://doi.org/10.1117/12.2223579
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