Mapping of Alteration Zones in Mineral Rich Belt of South-East Rajasthan Using Remote Sensing Techniques

Remote sensing techniques have emerged as an asset for various geological studies. Satellite images obtained by different sensors contain plenty of information related to the terrain. Digital image processing further helps in customized ways for the prospecting of minerals. In this study, an attempt has been made to map the hydrothermally altered zones using multispectral and hyperspectral datasets of South East Rajasthan. Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) and Hyperion (Level1R) dataset have been processed to generate different Band Ratio Composites (BRCs). For this study, ASTER derived BRCs were generated to delineate the alteration zones, gossans, abundant clays and host rocks. ASTER and Hyperion images were further processed to extract mineral end members and classified mineral maps have been produced using Spectral Angle Mapper (SAM) method. Results were validated with the geological map of the area which shows positive agreement with the image processing outputs. Thus, this study concludes that the band ratios and image processing in combination play significant role in demarcation of alteration zones which may provide pathfinders for mineral prospecting studies.





References:
[1] G. Hunt, "Spectral Signatures of particulate minerals in the visible and near infrared," Geophysics, vol. 42, pp. 501-513, 1977.
[2] F. F. Sabins, "Remote Sensing for mineral exploration," Ore Geology Reviews, pp. 157-183, 1999.
[3] A. Kalinowski and S. Oliver, "ASTER Mineral Index Processing," 2004.(Online).Available:http://www.ga.gov.au/webtemp/image_cache/GA7833.pdf (Accessed 01/07/2016).
[4] S. Roy Sinha, G. Malhotra and M. Mohanty, Geology of Rajasthan, Bangalore: GSI, 1998.
[5] Geological Survey of India (GSI), "Geological Quadrangle Map Toposheet no. 45L" 1975 (Accessed 22/05/2016).
[6] V. K. Sengar, A. Venkatesh, P. Champati ray, S. Chattoraj and R. U. Sharma, "Mineralogical Mapping in the Part of a Gold Prospect Using EO-1," in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Prague, Czech Republic, 2016.
[7] R. N. Clark, G. A. Swayze, R. Wise, E. Livo, T. Hoefen, R. Kokaly and S. J. Sutley, "USGS digital spectral library splib06a," in Digital Data Series 231, U.S. Geological Survey, 2007.
[8] O. Carvalho and P. Menesses, "Spectral Correlation Mapper (SCM): An Improvement on the Spectral Angle Mapper (SAM)," NASA Workshop, 2000. (Online) (Accessed 05/11/2016). Available: http://aviris.jpl.nasa.gov/proceedings/workshops/00_docs/Osmar_1_carvalho__web.pdf
[9] T. Lillisend and R. Kiefer, Remote Sensing and Image Interpretation, Seventh ed., Wiley, 2015.