| 基于ETM+数据的甘肃北山地区基性岩体识别 |
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| 引用本文： | 刘磊,周军,冯敏,李昱星,牛涛,李盼.基于ETM+数据的甘肃北山地区基性岩体识别[J].地质找矿论丛,2013,28(4):589-593. |
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| 作者姓名： | 刘磊 周军 冯敏 李昱星 牛涛 李盼 |
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| 作者单位： | [1]长安大学地球科学与资源学院,西部矿产资源与地质工程教育部重点实验室,西安710054 [2]中国科学院地理科学与资源研究所,北京100101 |
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| 基金项目： | 中央高校基本科研业务费专项资金与长安大学西部矿产资源与地质工程教育部重点实验室开放基金项目（编号：CHD2011SY013）、长安大学2013年大学生创新创业训练计划项目（编号：2-130710144）资助. |
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| 摘 要： | 岩性识别一直是遥感地质研究的重点和难题之一,有效识别岩性可以大幅减免地质填图工作中野外工作量,而一些特殊岩性的识别对于相关矿产资源勘查具有重要作用.文章以甘肃北山辉铜山地区为研究区,综合应用比值法、主成分分析等方法处理研究区ETM＋数据,以突出辉铜山地区基性-超基性岩信息;其岩性识别结果与地质图中已知基性岩体吻合较好,进而以遥感影像特征圈定了11处疑似辉长岩体,经野外对其中9处进行验证,全部与遥感分析结果吻合,证明了此方法识别基性岩的有效性.
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| 关 键 词： | 基性-超基性岩 遥感 比值 主成分分析 |
| 收稿时间： | 2012/12/5 0:00:00 |
| 修稿时间： | 2013/1/10 0:00:00 |
ETM+ data-based discrimination of Lithologies in a basic rock body in Beishan region, Gansu province |
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| LIU Lei,ZHOU Jun,FENG Min,LI Yuxing,NIU Tao and LI Pan.ETM+ data-based discrimination of Lithologies in a basic rock body in Beishan region, Gansu province[J].Contributions to Geology and Mineral Resources Research,2013,28(4):589-593. |
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| Authors: | LIU Lei ZHOU Jun FENG Min LI Yuxing NIU Tao and LI Pan |
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| Institution: | 1. Key Laboratory of Western China＇s Mineral Resources and Geological Engineering, Ministry of Education , School of Earth Sciences and Resources, Chang＇ an University, Xi ＇ an 710054, China ; 2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China) |
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| Abstract: | Lithol based lithological ogical discrimination is the core issue of remote sensing geology. Remote sensing data identification could reduce much field work for geological mapping. It＇s important to I dentify some special lithologic units for relevant ore prospecting. In Huitongshan area of Beishan region ETM＋ data are processed with band ratio and principal component analysis and information of basic-ul- trabasic rock bodioes in Huitongshan area is highlighted and the discrimination result is basically coincided with the geological map. Eleven gabbro bodies which are not shown on the geological map are identified with remote sensing image features and they verified by field check. The validity of the methods is ap- proved. |
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| Keywords: | Basicic-ultrbasic rock body remote sensing band ratio principal components analysis |
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