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多源数据在西藏罗布莎铬铁矿床遥感找矿模型中的应用
引用本文:杨伟光,郑有业,刘婷,王成松,郭统军. 多源数据在西藏罗布莎铬铁矿床遥感找矿模型中的应用[J]. 矿产勘查, 2018, 9(2): 346-353
作者姓名:杨伟光  郑有业  刘婷  王成松  郭统军
作者单位:中国地质大学(北京)地球科学与资源学院;中国地质大学地质过程与矿产资源国家重点实验室;西藏自治区地质矿产勘查开发局第二地质大队
基金项目:国土资源部公益性行业基金项目(编号:201511015)、教育部长江学者和创新团队发展计划(编号:IRT14R54)及中国地质调查局项目(编号:121201004000150017)资助。
摘    要:遥感的快速发展,使其已成为地质研究和地质勘查强有力的技术手段。遥感找矿模型是建立在正确的遥感地质解译基础上,可以描述一类矿床一系列遥感地质找矿标志的信息。西藏罗布莎地区蕴含着我国最大的铬铁矿床,文章利用World View-2高空间分辨率遥感影像、ETM+对罗布莎铬铁矿床进行遥感控矿因素提取。通过对研究区成矿地质特征条件分析,结合收集的研究区物化探等多源资料,总结西藏罗布莎地区阿尔卑斯型铬铁矿床遥感地质找矿模型。研究结果表明,高空间分辨率遥感工作精度高,其技术在地质矿产调查工作中,尤其是在我国西部等条件艰难复杂环境下,能够发挥举足轻重的作用。同时应用该模型,能为今后在雅鲁藏布江蛇绿岩带上寻找类似铬铁矿床提供遥感依据。

关 键 词:遥感  WorldView-2  遥感找矿模型  罗布莎  铬铁矿
收稿时间:2017-11-01

Application of multisource data in remote sensing exploration model for chromite deposits in Luobusa area, Tibet
YANG Wei-guang,ZHENG You-ye,LIU Ting,WANG Cheng-song and GUO Tong-jun. Application of multisource data in remote sensing exploration model for chromite deposits in Luobusa area, Tibet[J]. Mineral Exploration, 2018, 9(2): 346-353
Authors:YANG Wei-guang  ZHENG You-ye  LIU Ting  WANG Cheng-song  GUO Tong-jun
Affiliation:School of Earth Sciences and Resources, China University of Geosciences Beijing , Beijing 100083,School of Earth Sciences and Resources, China University of Geosciences Beijing , Beijing 100083;State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083,School of Earth Sciences and Resources, China University of Geosciences Beijing , Beijing 100083,No.2 Geological Team, Tibet Autonomous Region Geological and Mineral Exploration and Development Bureau, Lhasa 850000 and School of Earth Sciences and Resources, China University of Geosciences Beijing , Beijing 100083
Abstract:Remote sensing has become a strong technical mean for geological research and exploration. Remote sensing prospecting model is established on the basis of the correct remote sensing geological interpretation and can describe information about a series of remote sensing geological prospecting marks of a kind of deposits. The Luobusa ophiolite contains the largest known chromitite deposits in China. This paper takes advantage of WorldView-2 high spatial resolution remotely sensed data and ETM+ to extract ore-controlling factors in Luobusa. First analyzed the conditions of the ore-forming geological characteristics in the study area, second established the interpretation marks of high resolution remote sensing, including stratum, structure, rock mass. Besides, the ferric contamination anomaly has been extracted. And then collected geophysical and geochemical data in the study area. Finally summarized remote sensing geological prospecting model of alpine type chromite deposit in Luobusa. The results of the survey show that high spatial resolution remote sensing can play an important role in geological and mineral resources survey, especially in the difficult and complex environment. Meanwhile, according to the model, it will provide the basis for the future in the Yarlung Zangbo river ophiolite belt to find similar chromite deposit.
Keywords:remote sensing   WorldView-2   remote sensing prospecting model   Luobusa  chromite deposit
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