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Remote Sens. 2014, 6(12), 11829-11851; doi:10.3390/rs61211829

Mineral Mapping and Ore Prospecting with HyMap Data over Eastern Tien Shan, Xinjiang Uyghur Autonomous Region

1
College of Urban and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100875, China
3
School of Geography, Beijing Normal University, Beijing 100875, China
4
ICube Lab, Université de Strasbourg, Centre National de la Recherche Scientifique, 67412 Illkirch, France
5
Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, CAS, Beijing 100094, China
6
Guilin University of Technology, Guilin 541004, China
7
China University of Geosciences, Beijing 100083, China
8
National Disaster Reduction Center of China, Ministry of Civil Affairs of the People's Republic of China, Beijing 100124, China
*
Author to whom correspondence should be addressed.
Received: 15 September 2014 / Revised: 12 November 2014 / Accepted: 18 November 2014 / Published: 28 November 2014
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Abstract

Using HyMap data, mineral identification and mineral mapping were conducted on the basis of the spectral absorption index (SAI) and other spectral absorption features in a study area in Tudun, eastern Tien Shan. Alteration minerals, such as calcite, alumina-rich (Al-rich) muscovite, epidote, and antigorite, were explored, and their relative abundance was depicted. A cross-validation was performed, and it showed a high degree of consistency between the imagery results and the results of previous literature. To further validate the mineral mapping from HyMap data, a field survey was carried out and rock samples were collected for quantitative analysis using a Por Infrared Mineral Analyzer (PIMA) and the software affiliated with it. Minerals were discriminated, and their relative abundance was calculated from the spectra. Although we found that the absorption band-depth and SAI agreed well with each other and with the relative abundance of mineral alterations, the spectral absorption band-depth provided a better representation. Finally, ore prospecting of the study area was presented, and we found the distribution and close spatial relationships among the minerals extracted using the HyMap data. In the northern and northwestern part of the Gold-mine area, there was a mineralized muscovite alteration showing a sheet or block distribution. In the Copper-mine area, Al-poor muscovite with a sheet distribution was distributed in the north and northeast region, and Al-rich muscovite showed a block distribution enclosed by the distribution area of Al-poor muscovite. These all showed good ore prospects for the study area. View Full-Text
Keywords: HyMap; hyperspectral remote sensing; mineral mapping; spectral absorption features HyMap; hyperspectral remote sensing; mineral mapping; spectral absorption features
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Huo, H.; Ni, Z.; Jiang, X.; Zhou, P.; Liu, L. Mineral Mapping and Ore Prospecting with HyMap Data over Eastern Tien Shan, Xinjiang Uyghur Autonomous Region. Remote Sens. 2014, 6, 11829-11851.

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