| Technology Application |
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Uranium ore prediction based on inversion of ETM+6-γ mineral information in Huashan granite area |
| GUAN Zhen1,2,3, WU Hong1,2,3, CAO Cui4, HUANG Xiaojuan5, GUO Lin1,2,3, LIU Yan1,2,3, HAO Min1,2,3 |
1. Guangxi Scientific Experiment Center of Mining, Metallurgy and Environment, Guilin University of Technology, Guilin 541004, China;
2. Guangxi Key Laboratory of Hidden Metallic Ore Deposits Exploration, Guilin University of Technology, Guilin 541004, China;
3. Institute of Remote Sensing Application, College of Earth Sciences, Guilin University of Technology, Guilin 541004, China;
4. Third Engineering Corporation, No. 11 Bureau Group of China Railway, Shiyan 442012, China;
5. Nanjiang Hydrogelogical and Engineering Grological Party, Bureau of Geology and Mineral Resources Exploration and Development of Chongqing, Chongqing 401121, China |
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Abstract As the main element in the uranium ore deposit,the nuclides of 235U decay to release the factor heat,causing the formation of thermal infrared remote sensing anomalies around the uranium deposit genetically related to granite intrusive body. The Huashan granitic pluton in eastern Guangxi has good geological conditions for generating uranium ore deposits. In the inaccessible environment of harsh terrain,it is difficult to carry out field survey work with traditional methods. Using Landsat7 ETM+ 6 thermal infrared band data,the authors extracted the remote sensing thermal anomalies of the rock through digital image processing techniques,and established the ETM+ 6-γ spectrum anomalous inversion model to delineate the γ-spectrum abnormal field distribution of the whole granitic pluton. On such a basis,the authors screened the γ-spectroscopy anomalies according to the ore-controlling fracture structures and related geological and mineral data. At last, a number of uranium ore prospecting areas were delineated in Huashan granitic pluton. The results obtained by the authors not only provide an important clue for the further field prospecting work but also demonstrate the enormous potential of the geothermal anomalies detected through the inversion of thermal infrared remote sensing in the prediction of granite-type uranium ore deposits.
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| Keywords
land cover
remote sensing
CA-Markov model
simulation and forecast
Qinhuai River Basin
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Issue Date: 01 July 2014
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2014,
Vol. 26
