A Remote-Sensing-Based Alteration Zonation Model of the Duolong Porphyry Copper Ore District, Tibet
文献类型：期刊论文
| 作者 | Yao, Fojun1; Xu, Xingwang2; Yang, Jianmin1; Geng, Xinxia1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 13期号:24页码:18 |
| 关键词 | porphyry copper deposit alteration zone Tibet ore prospecting target area ASTER |
| DOI | 10.3390/rs13245073 |
| 英文摘要 | Remote sensing (RS) of alteration zones and anomalies can provide information that is useful for geological prospecting and exploration. RS is an effective method for porphyry copper mineral exploration and prospecting prediction. More specifically, the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) data, which include 14 spectral channels from visible light to thermal infrared, are useful in such cases. This study uses visible-shortwave infrared and thermal infrared ASTER data together with surface material spectra from the Duolong porphyry copper ore district to construct an RS-based alteration zonation model of the deposit. In this study, an RS alteration zoning model is established based on ground-spectral alteration zoning results. The methods include PCA (Principal Component Analysis), Ratio, and Slope methods. The information obtained by each method is different. RS-based alteration zonation is developed based on the intersection of maps, resultant from the different methods for extracting information related to different minerals. The alteration zonation information extracted from ASTER RS data is consistent with geological observations. Using information from the RS-based model, we mapped the alteration minerals and zones of the Duolong ore district, thereby identifying prospecting target areas of the deposit. |
| WOS关键词 | SPACEBORNE THERMAL EMISSION ; HYDROTHERMAL ALTERATION MINERALS ; PRINCIPAL-COMPONENT ANALYSIS ; RADIOMETER ASTER DATA ; ALTERED ROCKS ; U-PB ; DEPOSIT ; AREA ; GEOCHRONOLOGY ; SPECTRA |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000742422400001 |
| 出版者 | MDPI |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/103980]  |
| 专题 | 地质与地球物理研究所_中国科学院矿产资源研究重点实验室 |
| 通讯作者 | Yao, Fojun |
| 作者单位 | 1.Chinese Acad Geol Sci, Inst Mineral Resources, Key Lab Metallogeny & Resources Assessment, Beijing 100037, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources Res, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao, Fojun,Xu, Xingwang,Yang, Jianmin,et al. A Remote-Sensing-Based Alteration Zonation Model of the Duolong Porphyry Copper Ore District, Tibet[J]. REMOTE SENSING,2021,13(24):18. |
| APA | Yao, Fojun,Xu, Xingwang,Yang, Jianmin,&Geng, Xinxia.(2021).A Remote-Sensing-Based Alteration Zonation Model of the Duolong Porphyry Copper Ore District, Tibet.REMOTE SENSING,13(24),18. |
| MLA | Yao, Fojun,et al."A Remote-Sensing-Based Alteration Zonation Model of the Duolong Porphyry Copper Ore District, Tibet".REMOTE SENSING 13.24(2021):18. |
入库方式： OAI收割
来源：地质与地球物理研究所
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