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Inversion of LST and extraction of silicification alteration informationbased on the weighted fusion TIR data： A case study of the Uranium Polymetallic mining area in RenCha basin of Guangdong province

  • role： First author第一作者
  • Affiliation：

    School of Earth Sciences and engineering, Sun Yat-sen University, Guangzhou 510275, China

  • Email：1902412236@qq.com
  • Introduction：曹海玲，研究方向为地质遥感。E-mail： 1902412236@qq.com
CAO Hailing,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Earth Sciences and engineering, Sun Yat-sen University, Guangzhou 510275, China

  • Email：wzhengh@mail.sysu.edu.cn
  • Introduction：王正海，研究方向为资源环境遥感。E-mail： wzhengh@mail.sysu.edu.cn
WANG Zhenghai*,  
  • Affiliation：

    School of Earth Sciences and engineering, Sun Yat-sen University, Guangzhou 510275, China

QIN Haoyang,  
  • Affiliation：

    School of Earth Sciences and engineering, Sun Yat-sen University, Guangzhou 510275, China

SUN Yuanchao,  
  • Affiliation：

    School of Earth Sciences and engineering, Sun Yat-sen University, Guangzhou 510275, China

YIN Guopan

Resümee

The silicification alteration zone is an important prospecting indicator for many kinds of metallic hydrothermal deposits. Identifying the silicification alteration information rapidly and widely by remote sensing technology is vital. However, the width of the silicide alteration zone is only a few meters to hundreds of meters, and it appears as a thin band of a fine ribbon. At present, most of the commonly used thermal infrared data have low spatial resolution and fuzzy spatial details, which limit their applications in identifying microsilicide alteration zones. Based on the study of the land surface temperature anomaly characteristics of the siliceous alteration zone in the Rencha basin, the enhancement recognition model of siliceous alteration with weak information is established to strengthen the recognition and analysis of the siliceous alteration information.In this study, the PAN image high-frequency component map and TIR image are weighted and fused by taking the uranium mining area in the Rencha basin of Guangdong Province as an example. Then, a remote sensing model of silicified alteration weakening information enhancement identification is established. This model is based on the analysis of the topographic characteristics of the silicified alteration zone in the Rencha basin and the discussion of its relationship with LST anomalies.The results show that the weighted fusion of the PAN and TIR image can improve the spatial resolution of the TIR image and preserve the spectral characteristics of the thermal target effectively. In addition, the LST image slightly changes before and after fusion, and the latter improves the ability to identify the thermal anomalies of ground objects. Finally, the silicatization alteration zone, a high-temperature anomaly zone smaller than the fault zone in the approximate LST diagram, is predicted and identified accordingly.In conclusion, the information on the silicified alteration zone in the Rencha basin can be enhanced by the LST retrieval of the weighted fusion image. The silicified bands predicted and identified via this method are consistent with the known ones. This finding illustrates that this method is well applied to identifying the silicified alteration zone in the uranium mining area of the Rencha basin.

Schlüsselwort

RenCha Basin;Thermal Infrared (TIR);image fusion;Silicified Alteration Zone

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