Mineral resource prediction based on integration of remote sensing and GIS in Dayao-Wangxian region, northeastern Hunan Province, China

Jie Wang; Zuoxun Zeng; Jieqiang Chen; Caizhi Hu; Zhifang Zeng

doi:10.1117/12.831202

30 October 2009 Mineral resource prediction based on integration of remote sensing and GIS in Dayao-Wangxian region, northeastern Hunan Province, China

Jie Wang, Zuoxun Zeng, Jieqiang Chen, Caizhi Hu, Zhifang Zeng

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980L (2009) https://doi.org/10.1117/12.831202
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Dayao-Wangxian region is located in the noutheastern part of Hunan Province, South China. It is a region of high gold and lead-zinc mineral potential in China. This article shows the successful implementation of GIS technology for gold nonferrous metal resource prediction in the subtropical monsoon climate and lush vegetation region. In order to enhance the credibility of ore-finding, three kinds of information (alteration abnormal, lineament) are extracted from ETM+ image data. By making full use of the geological, geophysical, geochemical, and remote sensing data, we predict 9 first grade and 5 second grade ore-finding prospective areas in this region. About 90% of the known gold, copper and antimony mineral occurrences are located in these areas.

Citation Download Citation

Jie Wang, Zuoxun Zeng, Jieqiang Chen, Caizhi Hu, and Zhifang Zeng "Mineral resource prediction based on integration of remote sensing and GIS in Dayao-Wangxian region, northeastern Hunan Province, China", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980L (30 October 2009); https://doi.org/10.1117/12.831202

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