EXTRACTION OF ALTERED MINERAL INFORMATION BASED ON MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF JIAMA COPPER POLYMETALLIC DEPOSIT

WU Xiao-juan; WEN Jing; XIAO Chen-chao; CUI Zhen-ying

Volume 21 Issue 2

Jun. 2015

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WU Xiao-juan, WEN Jing, XIAO Chen-chao, et al., 2015. EXTRACTION OF ALTERED MINERAL INFORMATION BASED ON MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF JIAMA COPPER POLYMETALLIC DEPOSIT. Journal of Geomechanics, 21 (2): 228-240.

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EXTRACTION OF ALTERED MINERAL INFORMATION BASED ON MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF JIAMA COPPER POLYMETALLIC DEPOSIT

1.
China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
2.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430027, China
3.
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

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Received: 2014-12-10
Published: 2015-06-01

Abstract

Abstract

This paper extracted the altered minerals in Jiama copper polymetallic deposit by two methods: bands algebraic operation and principal component analysis with ETM+(TM) data and Aster data and got the distribution map of altered minerals by fusing alteration information.ETM+(TM) data is suitable to recognize hydroxyl group, iron and carbonate and can offer basic remote sensing technology. Aster data can extract more minerals, such as dolomite, limonite, chlorite, muscovite and kaolinite. By comparing with the geological data and actual exploration results, the extraction results of mineral alteration are effective and reliable.
- ETM+(TM) data,
- Aster data,
- extraction of alternated mineral,
- band algebraic manipulation,
- principal component analysis,

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References(15)

References

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