| 基于ASTER热红外数据的SiO2及岩性类别信息提取——以青海省绿梁山—双口山地区为例 |
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| 引用本文： | 王玉山,刘玉红,周勇,鲁立辉,陈鑫,许荣科,郑有业.基于ASTER热红外数据的SiO2及岩性类别信息提取——以青海省绿梁山—双口山地区为例[J].地质找矿论丛,2019,34(4):595-599. |
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| 作者姓名： | 王玉山 刘玉红 周勇 鲁立辉 陈鑫 许荣科 郑有业 |
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| 作者单位： | 四川省冶金地质勘查局六○五大队,四川眉山620860;中国地质大学(武汉)资源学院,武汉430074;中国地质大学(武汉)地质调查研究院,武汉430074;中国地质大学(武汉)资源学院,武汉430074;中国地质大学(武汉)地质调查研究院,武汉430074 |
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| 基金项目： | 中国地质调查局项目（编号：2120101100015000）资助。 |
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| 摘 要： | 岩性识别目前是遥感地质应用的热点和难点。青海省绿梁山—双口山地区属于干旱、植被稀少的地区,基岩裸露程度较高,为利用多光谱遥感数据进行岩性类别信息提取提供了便利条件。本文基于ASTER热红外数据,对青海省绿梁山—双口山地区的SiO_2含量进行反演,其结果显示SiO_2含量的高低范围基本与区内的岩性类别相对应,利用ASTER的热红外数据对于确定地表地质体的长英质、镁铁质大类具有良好效果。
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| 关 键 词： | ASTER热红外数据 SiO2含量信息 岩性识别 地表地质体 青海省 |
| 收稿时间： | 2019/7/30 0:00:00 |
ASTER TIR data-based information extraction of SiO2 and lithologies of Lüliangshan-Shuangkoushan area, Qinghai province |
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| WANG Yushan,LIU Yuhong,ZHOU Yong,LU Lihui,CHEN Xin,XU Rongke and ZHENG Youye.ASTER TIR data-based information extraction of SiO2 and lithologies of Lüliangshan-Shuangkoushan area, Qinghai province[J].Contributions to Geology and Mineral Resources Research,2019,34(4):595-599. |
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| Authors: | WANG Yushan LIU Yuhong ZHOU Yong LU Lihui CHEN Xin XU Rongke and ZHENG Youye |
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| Institution: | 605 party, Sichuan Bureau of Metallurgical Geology and Mineral Exploration, Meishan 620860, Sichuan, China,605 party, Sichuan Bureau of Metallurgical Geology and Mineral Exploration, Meishan 620860, Sichuan, China,605 party, Sichuan Bureau of Metallurgical Geology and Mineral Exploration, Meishan 620860, Sichuan, China,Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China,Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China,Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China and Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China;Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China |
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| Abstract: | Identification of lithologies by remote sensing data is now a hot and difficault point. The study area is located in the arid area of northwestern China, where the vegetation is sparse and the bedrock is bare. It provides a convenient condition for information extraction using multi-spectral remote sensing data. The inversion of SiO2 content in this area based on the ASTER thermal infrared data is carried out. The result shows that variation of SiO2 contents basically corresponds to ththose of lithologies thus the ASTER thermal infrared data can be applied effectively to identify felsic and mafic rocks in surface geologic bodies. |
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| Keywords: | ASTER thermal infrared data SiO2 content information lithology identification surface geologic body Qinghai province |
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