The Identification and Geological Significance of Fault Buried in the Gasikule Salt Lake in China based on the Multi-source Remote Sensing Data
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The first author gives his sincerest thanks to the help of Liu Dechang, Zhang Jielin, Zhou Mi and Hao Weilin in Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Information and Image Analysis Technology. This work was supported by the National Key Laboratory of Remote Sensing Information and Image Analysis Technology funded by the Chinese government. This work was supported by the National Advance Research Program (Item No.Y1601-1).

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    Abstract:

    The salinity of the salt lake is an important factor to evaluate whether it contains some mineral resources or not, the fault buried in the salt lake could control the abundance of the salinity. Therefore, it is of great geological importance to identify the fault buried in the salt lake. Taking the Gasikule Salt Lake in China for example, the paper established a new method to identify the fault buried in the salt lake based on the multi-source remote sensing data including Landsat TM, SPOT-5 and ASTER data. It includes the acquisition and selection of the multi-source remote sensing data, data preprocessing, lake waterfront extraction, spectrum extraction of brine with different salinity, salinity index construction, salinity separation, analysis of the abnormal salinity and identification of the fault buried in salt lake, temperature inversion of brine and the fault verification. As a result, the study identified an important fault buried in the east of the Gasikule Salt Lake that controls the highest salinity abnormal. Because the level of the salinity is positively correlated to the mineral abundance, the result provides the important reference to identify the water body rich in mineral resources in the salt lake.

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WANG Junhu, ZHAO Yingjun, WU Ding, LU Donghua.2021. The Identification and Geological Significance of Fault Buried in the Gasikule Salt Lake in China based on the Multi-source Remote Sensing Data[J]. Acta Geologica Sinica(),95(3):996-1007

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History
  • Received:July 17,2019
  • Revised:March 10,2020
  • Adopted:
  • Online: June 23,2021
  • Published: