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Prediction of polymetallic metallogenic favorable area based on ASTER data |
Junbin DUAN, Peng PENG, Zhi YANG, Le LIU |
Geological Survey of Anhui Province, Heifei 230001, China |
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Abstract In recent years, China has paid more and more attention to the mineral geology in the northwest frontier area. However, due to natural geography and other reasons, it is difficult to carry out large-scale manual investigation. By collecting and sorting the available data, the authors have found that there are gold, silver, copper, lead and other minerals in the vicinity of Shumu campsite of the northwest frontier area, and hence it is an important metallogenic prospective area of China’s mineral resources. In order to give full play to the advantages and leading role of remote sensing in prospecting in difficult and dangerous areas of Western China, the authors used ASTER remote sensing image data to extract alteration anomalies and controlling factors. On such a basis, various thematic factors which were used to evaluate the metallogenic favorable areas were obtained, and the correlation and usability between thematic factors were investigated. The establishment of remote sensing geological prospecting model and verification through known deposit point information have obtained good evaluation results, which can provide reference for similar study areas in the future.
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Keywords
ASTER
alteration anomalies
information model
metallogenic prediction
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Issue Date: 30 August 2019
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