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CHENG Sanyou, YANG Xingke, YU Hengbin, LIU Wei. 2020. Methods of ASTER remote sensing data used in extracting mineralization and alteration information in the Hutouya mining area of the Qimantag metallogenic belt, Qinghai Province. Journal of Geomechanics, 26(3): 432-442. doi: 10.12090/j.issn.1006-6616.2020.26.03.037
Citation: CHENG Sanyou, YANG Xingke, YU Hengbin, LIU Wei. 2020. Methods of ASTER remote sensing data used in extracting mineralization and alteration information in the Hutouya mining area of the Qimantag metallogenic belt, Qinghai Province. Journal of Geomechanics, 26(3): 432-442. doi: 10.12090/j.issn.1006-6616.2020.26.03.037
shu

Methods of ASTER remote sensing data used in extracting mineralization and alteration information in the Hutouya mining area of the Qimantag metallogenic belt, Qinghai Province

  • 1.

    School of Earth Sciences and Resources, Chang'an University, Xi'an 710054, Shannxi, China

  • 2.

    Shaanxi Mineral Resources and Geological Survey, Xi'an 710065, Shannxi, China

  • 3.

    Shaanxi Nuclear Industry Geological Survey Institute, Xi'an 710010, Shannxi, China

Received Date:  09 August 2019
Revised Date:  30 March 2020
Publish Date:  30 June 2020
    Abstract

  • Using ASTER remote sensing images as the data source, the extraction of mineralization and alteration anomaly in the Hutouya mining area of the Qimantag metallogenic belt in Qinghai Province is studied through two methods. One method is using the minimum noise component (MNF) transform, pixel purity index (PPI), n-Dimensional Visualization to do the end element recognition and mixture tuned matched filtering (MTMF), in order to obtain the mineral distribution map of the mining area. The other is principal component analysis, through which ferric contamination anomaly is extracted in ASTER1, 2, 3, 4 band, skarnization alteration anomaly in 1, 3, 4, 5 band, montmorillonite, illite and sericite in 3, 4, (5+6)/2 band and calcite, biomica, chlorite and other minerals in 1, 3, 4, 8 band. The results of remote sensing extraction of alteration anomaly verified by ArcGIS10.1 software are in good consistency with the mineral deposits and mineralization points determined by the field survey, indicating that the extraction results and the data processing method are reliable, which is of great guiding significance for the expansion of the prospecting scale and the discovery of mineralization enrichment areas.

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