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首页> 外文期刊>International journal of remote sensing >Remote sensing and geologic mapping of glaciovolcanic deposits in the region surrounding Askja (Dyngjufjoell) volcano, Iceland
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Remote sensing and geologic mapping of glaciovolcanic deposits in the region surrounding Askja (Dyngjufjoell) volcano, Iceland

机译：冰岛Askja（Dyngjufjoell）火山周围地区冰川火山沉积物的遥感和地质制图

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摘要

The surface geology of the Northern Volcanic Zone in Iceland is dominated by volcanic ridges, central volcanoes, shield volcanoes, and tuyas. The largest features are typically ice-confined (glaciovolcanic) in origin, and are overlain by voluminous Holocene (subaerial) lavas and glacial outwash deposits. The literature has focused heavily on prominent or very young features, neglecting small and older volcanic features. The purpose of this study is to demonstrate the application of remote-sensing mapping techniques to the glaciovolcanic environment in order to identify dominant lithologies and determine locations for textural, stratigraphic, and age studies. The deposits targeted in this study occur on and around Askja volcano, in central Iceland, including Pleistocene glaciovolcanic tuffs and subaerial pumice from the 1875 rhyolitic eruption of Askja. Data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were used in conjunction with previously published geologic and remote-sensing data sets and recent field work on glaciovolcanic deposits of Askja for validation. Remotely acquired data sets include aerial photographs and one ASTER scene obtained in August 2010. Visible and near-infrared (VNIR) and thermal infrared (TIR) classifications and linear deconvolution of the TIR emissivity data were performed using end-members derived from regions of interest and laboratory spectra. End-members were selected from samples of representative lithologic units within the field area, including glaciovolcanic deposits (pillow lavas, tuffs, etc.), historical deposits (1875 pumice, 1920s basaltic lavas), and Holocene basaltic lavas from Askja. The results demonstrate the potential for remote sensing-based ground cover mapping of areas of glaciovolcanic deposits relevant to palaeo-ice reconstructions in areas such as Iceland, Antarctica, and British Columbia. Remote sensing-based mapping will benefit glaciovolcanic studies, by determining the lithologic variability of these relatively inaccessible massifs and serving as an important springboard for the identification of future field sites in remote areas.
机译：冰岛北部火山区的地表地质主要是火山脊，中央火山，盾构火山和风洞。最大的特征通常是冰封的（冰川火山岩）成因，并被大量的全新世（苏丹）熔岩和冰川冲积物覆盖。文献集中在突出或非常年轻的特征上，而忽略了老旧的火山特征。这项研究的目的是演示遥感制图技术在冰川火山环境中的应用，以便确定主要岩性并确定构造，地层学和年龄研究的位置。这项研究的目标矿床位于冰岛中部的阿斯贾火山及其周围，包括更新世的冰川火山凝灰岩和1875年阿斯恰流产喷发的地下浮石。来自先进的星载热发射和反射辐射计（ASTER）的数据与先前发布的地质和遥感数据集以及最近在Askja的冰川火山沉积中进行的实地研究结合使用，以进行验证。远程获取的数据集包括航空照片和2010年8月获得的一个ASTER场景。TIR发射率数据的可见和近红外（VNIR）分类和热红外（TIR）分类以及线性反卷积是使用从感兴趣区域得出的末端成员进行的和实验室光谱。最终成员选自野外地区代表性岩性单元的样品，包括冰川火山岩沉积物（枕状熔岩，凝灰岩等），历史沉积物（1875年浮石，1920年代玄武岩熔岩）和来自Askja的全新世玄武岩熔岩。结果表明，在冰岛，南极洲和不列颠哥伦比亚等地区，与古冰重建有关的冰川火山岩沉积区可用于基于遥感的地表覆盖。基于遥感的制图将通过确定这些相对难以接近的地块的岩性变异性，并为鉴定未来偏远地区的重要跳板而有益于冰川火山研究。

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  • 来源
    《International journal of remote sensing》 |2013年第20期|7178-7198|共21页
  • 作者

    A.H. Graettinger; M.K. Ellis; I.P. Skilling; K. Reath; M.S. Ramsey; R.J. Lee; C.G. Hughes; D.W. McGarvie;

  • 作者单位

    Department of Geology and Planetary Science, University of Pittsburgh, Pittsburgh, PA, USA,Center for Geohazard Studies, University at Buffalo, NY, USA;

    Department of Geology and Planetary Science, University of Pittsburgh, Pittsburgh, PA, USA;

    Energy and Environment Research Institute, University of South Wales, Pontypridd, UK;

    Department of Geology and Planetary Science, University of Pittsburgh, Pittsburgh, PA, USA;

    Department of Geology and Planetary Science, University of Pittsburgh, Pittsburgh, PA, USA;

    Department of Geology and Planetary Science, University of Pittsburgh, Pittsburgh, PA, USA;

    Earth Surface Science, JPL, Pasadena, CA, USA;

    Department of Environment, Earth and Ecosystems, The Open University, Edinburgh, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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