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Yunxiao TONG, Xusheng LI, Junquan YANG, Feicui WANG, Siqi CAO, Jialin WEI. Identification of alteration minerals and linear structures andprediction of metallogenic favorable areabased on ZY-1-02D hyperspectral data[J]. GEOLOGY IN CHINA. DOI: 10.12029/gc20240206001
Citation: Yunxiao TONG, Xusheng LI, Junquan YANG, Feicui WANG, Siqi CAO, Jialin WEI. Identification of alteration minerals and linear structures andprediction of metallogenic favorable areabased on ZY-1-02D hyperspectral data[J]. GEOLOGY IN CHINA. DOI: 10.12029/gc20240206001

Identification of alteration minerals and linear structures andprediction of metallogenic favorable areabased on ZY-1-02D hyperspectral data

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  • Received Date: February 05, 2024
  • Revised Date: December 30, 2024
  • Accepted Date: January 20, 2025
  • Available Online: March 18, 2025
  • [Objective] Hyperspectral remote sensing technology can quickly extract alteration minerals and linear structures information based on spectral characteristics. The geological application research of mineral identification based on hyperspectral remote sensing technology is of great significance to support a new round of strategic action of prospecting breakthrough. [Methods] Taking Zhaojinggou and Hutushan areas in Wuchuan County, Inner Mongolia as the study area. The alteration minerals were extracted from the study area based on spectral hourglass technology using the hyperspectral data of ZY-1-02D satellite. And the linear structures of the study area was extracted by conducting principal component analysis (PCA) and LINE module in PCI Geomatica software. Furthermore, the spatial distribution characteristics of altered minerals and linear structures were analyzed. [Results] Eight kinds of alteration minerals were extracted, including hematite, low aluminum sericite, medium aluminum sericite, lepidolite, biotite, chlorite, carbonate and kaolinite, and 127 linear structures were extracted from the study area. It is found that the alteration minerals and linear structures in the study area are closely related to the lithology of the geological body, and most of them are concentrated in the local section of the specific geological body. The extraction results of linear structures are mainly distributed on the interface of different tones and the abnormal zone with linear distribution in the image, and the overall effect is good. Based on the comprehensive analysis of alteration information and linear structure, 6 prospecting areas have been delineated, among which 4 have known ore veins distributed, with a high degree of agreement, confirming that abnormal information can serve as a basis for remote sensing prospecting. [Conclusions] Hyperspectral remote sensing can not only accurately identify altered mineral information, but also clearly extract different rock mass, structure and other geological bodies, which can provide strong technical support for mineral resources exploration and geological investigation.

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