Mapping alteration minerals in the Pulang porphyry copper ore district, SW China, using ASTER and WorldView-3 data: Implications for exploration targeting
| Autor: | Xiao-Min Cao, Xiao-Hu He, Shi-Hui Zeng, Ying-Xiang Lu, Wen-jie Feng, Qi Chen, Jia-Xi Zhou, Xue-Hao Fu, Zhifang Zhao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
biology
020209 energy Geochemistry Geology Epidote 02 engineering and technology engineering.material 010502 geochemistry & geophysics biology.organism_classification Sericite 01 natural sciences Porphyry copper deposit Multispectral pattern recognition chemistry.chemical_compound chemistry Geochemistry and Petrology 0202 electrical engineering electronic engineering information engineering engineering Prospecting Economic Geology Aster (genus) Quartz Chlorite 0105 earth and related environmental sciences |
| Zdroj: | Ore Geology Reviews. 134:104171 |
| ISSN: | 0169-1368 |
| Popis: | Identifying alteration minerals of porphyry Cu deposits by using multispectral remote sensing data is a significant approach for ore prospecting. However, obtaining refined alteration information related to a porphyry Cu system is still challenging, especially in an area with complex geological background. In this study, the effectiveness of spectroscopic techniques for mapping alteration minerals associated with the Pulang porphyry copper deposit, SW China, which is located in high altitude and with tough terrain, were discussed by using ASTER and WorldView-3 data. The method of Principal Component Analysis (PCA) + Spectrum-Area (S-A) was developed to enhance the remote sensing information extraction of the alteration zones with quartz, sericite, chlorite and epidote. The results suggested that the extraction accuracy of porphyry alteration minerals based on WorldView-3 data with the method of PCA + S-A is significantly improved comparing with that of ASTER data. Using the method, we identified a new alteration zone caused by sericite anomalies in the Pulang deposit, which was afterward confirmed by field investigation. Hence, the PCA + S-A method based on WorldView-3 data is an effective approach for mapping alteration zones and ore prospecting in the porphyry copper system. |
| Databáze: | OpenAIRE |
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