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Extraction of remote sensing alteration anomalies and prospecting prediction of porphyry Cu-Mo deposits in Narigongma,Qinghai Province |
| DENG Huijuan1, YAO Yutao1, PENG Guangxiong2, XIA Haodong1 |
1. Cores and Samples Center of Land and Resources, Yanjiao 065201, China;
2. MOE Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Central South University, Changsha 410083, China |
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Abstract The North Sanjiang metallogenic belt in Qinghai Province has excellent metallogenic conditions and geological background to form large or superlarge metal deposits, and Narigongma is the most typical porphyry Cu-Mo deposit in this region. Based on the typical characteristics of alteration zoning of the porphyry Cu-Mo deposit and using the ASTER data,the authors extracted the remote sensing alteration anomaly information of kaolinization,propylitization,pyritization and silicification by using Crosta technology and band ratio method. The distribution map of granite porphyry and faults was obtained on the basis of remote sensing interpretation of the ASTER and QuickBird images. According to the metallogenic regularity and ore-controlling factors of the Narigongma deposit,eight mineral prediction areas were delineated based on the mineral predictive factors derived from remote sensing data. The remote sensing characteristics of alteration zoning of Narigongma can provide important reference information for the exploration of porphyry Cu-Mo deposits in the North Sanjiang metallogenic belt.
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| Keywords
impervious surface
linear spectral mixture analysis
semi-constrained conditions
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Issue Date: 28 March 2014
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2014,
Vol. 26
