首页 | 本学科首页   官方微博 | 高级检索  
     

板桥稀土矿遥感找矿信息提取与矿产预测研究
引用本文:章钦瑜,张登荣,黄国成,朱骏. 板桥稀土矿遥感找矿信息提取与矿产预测研究[J]. 国土资源遥感, 2012, 0(1): 120-126
作者姓名:章钦瑜  张登荣  黄国成  朱骏
作者单位:浙江大学地球科学系;杭州师范大学遥感和地球科学研究院;浙江省地质调查院
基金项目:中国地质调查局全国矿产资源潜力评价浙江省矿产资源潜力评价项目(编号:1212010813010);浙江省城市湿地与区域变化研究重点实验室基金项目(编号:KZ11107)共同资助
摘    要:
通过对离子吸附型稀土矿成矿规律的分析,从浙江省板桥地区的遥感地质特征研究入手,在研究区地表范围内进行稀土遥感找矿信息的提取。首先利用SPOT图像和DEM数据构建的坡度数据对与稀土成矿相关的地貌单元进行解译;然后通过光谱特征分析和基于ASTER图像的矿物遥感异常提取,获取与成矿相关的高岭土、绢云母、绿泥石等风化特征矿物的分布信息;最后叠合分析地貌、坡度及异常提取结果,进行稀土遥感找矿预测。与地质调查资料及化探数据的对比分析证实,上述方法对圈定1∶5万的大比例尺离子吸附型稀土矿分布范围是有效的,可为更详细的稀土矿产资源潜力评价提供依据。

关 键 词:离子吸附型稀土矿  遥感  地貌解译  异常提取  矿产预测

The Remote Sensing Prospecting Information Extraction and Mineral Resources Prognosis in the Banqiao Rare Earth Mineral Deposit
ZHANG Qin-yu,ZHANG Deng-rong,HUANG Guo-cheng,ZHU Jun. The Remote Sensing Prospecting Information Extraction and Mineral Resources Prognosis in the Banqiao Rare Earth Mineral Deposit[J]. Remote Sensing for Land & Resources, 2012, 0(1): 120-126
Authors:ZHANG Qin-yu  ZHANG Deng-rong  HUANG Guo-cheng  ZHU Jun
Affiliation:1(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)
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:ion adsorption type rare earth  remote sensing  geomorphologic interpretation  abnormal extraction  mineral prediction
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号