首页> 外文期刊>Planetary and space science >Mapping Lunar global chemical composition from Chang'E-1 IIM data
【24h】

Mapping Lunar global chemical composition from Chang'E-1 IIM data

机译:从Chang娥一号IIM数据绘制月球全球化学成分

获取原文
获取原文并翻译 | 示例
           

摘要

The global distribution of the chemical composition of the lunar surface is an important factor helping us to understand the formation and evolution of the Moon. In this paper, formulas were established for deriving FeO, TiO_2, Al2O_3 and MnO abundances from Chang'E-1 (CE-1) Interference Imaging Spectrometer (IIM) data on the basis of the method "color ratio of UV/VIS and NIR/VIS versus VIS reflectance diagram" which was put forward by Lucey and Blewett. Global high-resolution maps (200 m/pixel) of FeO, TiO_2, A1_2O_3 and MnO were produced, and then compared qualitatively with results from Clementine UVVS, Lunar Prospector (LP) Gamma-Ray Spectrometer (GRS) and Neutron Prospector (NS) data. The abundance ranges of the above four elements are 0-21.0 wt%, 0-9.5 wt%, 5.4-32.1 wt%, and 0.015-0.28 wt% respectively. The abundance range of FeO is consistent with the results from LP-GRS data reported by Gillis et al. (2004), and the abundance range of TiO_2 is consistent with the results from LP-NS data reported by Elphic et al. (2002). Relative abundance distributions of FeO and TiO_2 from Clementine and IIM data are slightly different from those from LP-GRS and LP-NS data. In map from the LP-GRS data, FeO abundances are the highest at Oceanus Procellarum and Mare Imbrium. However, in the map from CE-1 IIM data they are the highest at Oceanus Procellarum and Mare Tranquillitatis. Although the spatial resolution of these maps is high, caution must be taken when the maps in this paper are used at the crater scale because they suffer from errors owing to topographically induced shading. In future work, a high-accuracy DEM from Lunar Reconnaissance Orbiter Mission Laser Altimeter (LOLA) data coupled with a photometric model can probably be used to resolve this problem.
机译:月球表面化学成分的全球分布是帮助我们了解月球形成和演化的重要因素。本文基于“ UV / VIS和NIR色比法”,建立了基于Chang娥一号(CE-1)干涉成像光谱仪(IIM)数据的FeO,TiO_2,Al2O_3和MnO丰度的计算公式。 / VIS与VIS反射率图”,由Lucey和Blewett提出。生成了FeO,TiO_2,Al_2O_3和MnO的全球高分辨率图(200 m /像素),然后与Clementine UVVS,月球探源仪(LP)伽玛射线能谱仪(GRS)和中子探源仪(NS)的结果进行了定性比较。数据。上述四种元素的丰度范围分别为0-21.0重量%,0-9.5重量%,5.4-32.1重量%和0.015-0.28重量%。 FeO的丰度范围与Gillis等人报道的LP-GRS数据的结果一致。 (2004年),TiO_2的丰度范围与Elphic等人报道的LP-NS数据的结果一致。 (2002)。 Clementine和IIM数据中FeO和TiO_2的相对丰度分布与LP-GRS和LP-NS数据中的相对丰度分布略有不同。在来自LP-GRS数据的地图中,Oceanus Procellarum和Mare Imbrium的FeO丰度最高。但是,在来自CE-1 IIM数据的地图中,它们在Oceanus Procellarum和Mare Tranquillitatis最高。尽管这些地图的空间分辨率很高,但是在火山口规模下使用本文中的地图时必须谨慎,因为它们会因地形引起的阴影而产生误差。在将来的工作中,来自月球侦察轨道飞行器任务激光高度计(LOLA)数据的高精度DEM加上光度模型可以用于解决此问题。

著录项

  • 来源
    《Planetary and space science》 |2012年第1期|p.119-129|共11页
  • 作者单位

    Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;

    Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, 31 Xueyuan RD Haidian District, Beijing 100083,China;

    School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;

    School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;

    Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;

    Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;

    Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;

    Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    moon; chemical composition; spectroscopy; chang'E; hypers pectral;

    机译:月亮;化学成分;光谱学更改;高光谱;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号