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REMOTE SENSING FOR LAND & RESOURCES    2012, Vol. 24 Issue (1) : 120-126     DOI: 10.6046/gtzyyg.2012.01.21
"The Results of Remote Sensing Application of National Mineral Resource Potential Assessment" Column |
The Remote Sensing Prospecting Information Extraction and Mineral Resources Prognosis in the Banqiao Rare Earth Mineral Deposit
ZHANG Qin-yu1, ZHANG Deng-rong2, HUANG Guo-cheng3, ZHU Jun1
1. Department of Earth Sciences, Zhejiang University, Hangzhou 310027, China;
2. Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 310027, China;
3. Zhejiang Institute of Geological Survey, Hangzhou 310027, China
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Abstract  In this paper, the prospecting information of the rare earth resources on Earth’s surface was extracted by analyzing the metallogenic regularity and geological remote sensing features of the study area. Firstly,the distribution of geomorphic units of Qedl was interpreted based on SPOT imagery and slope map obtained from DEM data. Then,the distribution of characteristic minerals closely related to rare earth deposits such as kaolin,sericite and chlorite was extracted by using remote sensing alteration anomaly extraction methods in the study area. At last,the potential rare earth ore districts were predicted by using overlap analysis of geomorphic units of Qedl as well as slope and abnormal extraction results. A comparison with the results of geological and geochemical survey shows that the remote sensing methods proposed in this paper are effective and reliable in prognosis of rare earth mineral distribution at the scale of 1:50 000 and can provide useful suggestions for more detailed potential evaluation of rare earth mineral resources.
Keywords electromagnetic induction      arid area      soil salinization      quantitative remote sensing      spectrum characteristics     
:  TP 79  
Issue Date: 07 March 2012
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LI Xiao-ming,YANG Jing-song,YU Mei, et al. The Remote Sensing Prospecting Information Extraction and Mineral Resources Prognosis in the Banqiao Rare Earth Mineral Deposit[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 120-126.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.01.21     OR     https://www.gtzyyg.com/EN/Y2012/V24/I1/120
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