Mapping alteration using imagery from the Tiangong-1 hyperspectral spaceborne system: Example for the Jintanzi gold province, China
文献类型：期刊论文
| 作者 | Liu, Lei1,6; Feng, Jilu1; Rivard, Benoit1; Xu, Xinliang5; Zhou, Jun4,6; Han, Ling3; Yang, Junlu2; Ren, Guangli2 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2018-02-01 |
| 卷号 | 64页码:275-286 |
| ISSN号 | 0303-2434 |
| 关键词 | Tiangong-1 SASI Hyperspectral imagery Alteration mineral mapping Beishan |
| DOI | 10.1016/j.jag.2017.03.013 |
| 通讯作者 | Xu, Xinliang(xuxl@lreis.ac.cn) |
| 英文摘要 | Tiangong-1 Hyperspectral Imager (HSI) is a relatively new spaceborne hyperspectral remote sensing system that was launched by the Chinese government on September 29th 2011. The system has 64 shortwave infrared (SWIR) spectral bands (1000-2500 nm) and imagery is at a spatial resolution of 20 m. This study represents an evaluation of Tiangong-1 data for the production of alteration mineral maps. Alteration mineral maps resulting from the analysis of Tiangong-1 HSI data and airborne SASI (Shortwave infrared Airborne Spectrographic Imager) data are compared for the Jintanzi area, Beishan, Gansu province, northwest China where gold bearing veins are documented. The results illustrate the detection of muscovite, kaolinite, chlorite, epidote, calcite and dolomite from Tiangong-1 HSI data and most anomalies seen in the airborne SASI data are captured. The Tiangong-1 data appears to be well suited for the detection of surface mineralogy in support of regional mapping and exploration. The data complements that which will be offered by the Chinese GF-5 Hyperspectral Imager and the German EnMAP system, both scheduled for launch in 2018. (C) 2017 Published by Elsevier B.V. |
| WOS关键词 | IMAGING SPECTROSCOPY ; ALTERATION ZONES ; DEATH-VALLEY ; AVIRIS DATA ; AIRBORNE ; NEVADA ; AREA ; GEOCHEMISTRY ; CALIFORNIA ; HYPERION |
| 资助项目 | National Natural Science Foundation of China[41402288] ; National Natural Science Foundation of China[41501579] ; Special Fund for Basic Scientific Research of Central Colleges[310827172006] ; Special Fund for Basic Scientific Research of Central Colleges[310827161018] ; Special Fund for Basic Scientific Research of Central Colleges[310827173401] ; Special Fund for Basic Scientific Research of Central Colleges[310827153408] ; Chang'an University, China |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000413880000025 |
| 资助机构 | National Natural Science Foundation of China ; Special Fund for Basic Scientific Research of Central Colleges ; Chang'an University, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61120]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Xinliang |
| 作者单位 | 1.Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada 2.China Geol Survey, Xian Ctr Geol Survey, Xian 710054, Shaanxi, Peoples R China 3.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Shaanxi, Peoples R China 4.Xian Spacetime Geomineral Technol Ltd, Xian 710068, Shaanxi, Peoples R China 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Changan Univ, Key Lab Study Focused Magmatism & Giant Ore Depos, MLR, Sch Earth Sci & Resources, Xian 710054, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Lei,Feng, Jilu,Rivard, Benoit,et al. Mapping alteration using imagery from the Tiangong-1 hyperspectral spaceborne system: Example for the Jintanzi gold province, China[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2018,64:275-286. |
| APA | Liu, Lei.,Feng, Jilu.,Rivard, Benoit.,Xu, Xinliang.,Zhou, Jun.,...&Ren, Guangli.(2018).Mapping alteration using imagery from the Tiangong-1 hyperspectral spaceborne system: Example for the Jintanzi gold province, China.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,64,275-286. |
| MLA | Liu, Lei,et al."Mapping alteration using imagery from the Tiangong-1 hyperspectral spaceborne system: Example for the Jintanzi gold province, China".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 64(2018):275-286. |
入库方式： OAI收割
来源：地理科学与资源研究所
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