Molybdenum Mineralization Mapping Based on Hyperion Hyperspectral Image in Angou, China

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Angou deposit locates in the southern part of east Qinling Metallogenic Belt. A few Mo-Pb deposits have been discovered in this region. This paper demonstrates that there is a close relationship between carbonitization and molybdenum mineralization. Therefore carbonitization can be an important prospecting marker for molybdenum. Four Hyperion bands, with the wavelength of 420nm, 803nm, 2324nm and 2385 nm respectively, were selected for principal component analysis to extract carbonitization anomalies. Field work results show good relationship between carbonitization anomaly and molybdite and molybdenum ore bodies. The zones with intensive carbonitization anomalies have good prospecting potential.

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1135-1139

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] F.P. Gan, R.S. Wang, A.N. Ma. Spectral identification tree (sit) for mineral extraction based on spectral characteristics of minerals. Earth Science Frontiers, 10(2): 0445-455. (2003).

Google Scholar

[2] F.A. Kruse, W.B. Joseph, F.H. Jonathan . Comparison of Airborne Hyperspectral Data and EO-1 Hyperion forMineral Mapping. IEEE Transactions on Geoscience and RemoteSensing, 41 (2): 1388-1400. ( 2003).

DOI: 10.1109/tgrs.2003.812908

Google Scholar

[3] A.Y. Wang, S.H. Liu, A.J. Wang. A study of the lithologic identification based on Hyperionand field spectra . Geological Bulletin of China, 30(5): 773-782. (2011).

Google Scholar

[4] S.X. Yan, X.B. Wu, C.X. Zhou, etal. Remote Sensing and Spectral Geology and Their Applications to Mineral Exploration . Advances In Earth Science, 26(1): 13-30. (2011).

Google Scholar

[5] Z.C. Ye, G.M. Gao, G.X. Peng. Geological characteristics and genesis of Angou molybdenum polymetallic deposit, Songxian, Henan Province, China . The Chinese Journal of Nonferrous Metals, 22(3): 819-897. ( 2012).

Google Scholar

[6] J.G. Yuan, A. Niu, X.P. Wang. Atmospheric correction of hyperion hyperspectral image based on FLAASH. Spectroscopy and Spectral Analysis, 29(5): 1181-1185. (2009).

Google Scholar

[7] W. Loughlin. Principal component analysis for alteration mapping. Photogrammetric Engineering and Remote Sensing, 57, 1163-1169. (1991).

Google Scholar

[8] A.P. Crosta, C.R. Souza, F. Azevedo, etal. Targeting key alteration minerals in epithermal deposits in Patagonia, Argentina, using ASTER imagery and principal component analysis. International Journal of Remote Sensing, 24(21): 4233-4240. (2003).

DOI: 10.1080/0143116031000152291

Google Scholar