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Utilisation of remote sensing for the study of debris-covered glaciers: development and testing of techniques on Miage Glacier, Italian Alps

机译:利用遥感技术研究碎屑覆盖的冰川:意大利阿尔卑斯山的米格冰川的开发和测试技术

摘要

An increase in the number of debris-covered glaciers and expansion of debris cover across many glaciers has been documented in many of the world’s major glacierised mountain ranges over the last 100 years. Debris cover has a profound impact on glacier mass balance with thick layers insulating the underlying ice and dramatically reducing ablation, while thin or patchy cover accelerates ablation through albedo reduction. Few debris-covered glaciers have been studied in comparison with ‘clean’ glaciers and their response to climatic change is uncertain. Remote sensing, integrated with field data, offers a powerful but as yet unrealised tool for studying and monitoring changes in debris-covered glaciers. Hence, this thesis focuses on two key aims: i) to test the utility of visible/near infrared satellite sensors, such as TERRA ASTER, for studying debris-covered glaciers; ii) to develop techniques to fully exploit the capability of these satellite sensors to extract useful information, and monitor changes over time. Research was focused on four interrelated studies at the Miage Glacier, in the Italian Alps. First, a new method of extracting debris-thickness patterns from ASTER thermal-band imagery was developed, based on a physical energy-balance model for a debris surface. The method was found to be more accurate than previous empirical approaches, when compared with field thickness measurements, and has the potential advantage of transferability to other sites. The high spatial variability of 2 m air temperature, which does not conform to a standard lapse rate, presents a difficulty for this approach and was identified as an important area for future research. Secondly, ASTER and Landsat TM data are used to map debris-cover extent and its change over time using several different methods. A number of problems were encountered in mapping debris extent including cloud cover and snow confusion, spatial resolution, and identifying the boundary between continuous and sporadic debris. Analysis of two images in late summer 1990 and 2004 revealed only a small up glacier increase in debris cover has occurred, confirming other work’s conclusions that the debris cover on Miage Glacier increased to its present extent prior to the 1990s. A third area of research used ASTER DEMs to monitor surface elevation changes of the Miage Glacier over time to update previous studies. Surface velocities on the glacier tongue were also calculated between 2004-2005 using feature-tracking of ASTER orthorectified visible band imagery and ASTER DEMs. However, ASTER DEMs were found to be rather poor for both applications due to large elevation errors in topographically rough parts of the glacier, which prevented a full analysis and comparison of results to previous surface elevation and velocity studies. Finally, the lithological units of the debris cover were mapped, based on the spectral differences of different rock types in the debris layer, providing information both on the location and concentration of different rock types on the surface. Therefore, the identification in the variation in emissivity throughout the glacier surface can be identified, which in turn has an impact upon calculated surface temperatures and ablation respectively. Overall, this research presents a significant contribution to understanding the impact of a debris layer on an alpine glacier, which is an area of key interest and current focus of many present glaciological studies. Since future glacial monitoring will increasingly have to consider supraglacial debris cover as a common occurrence, due to climate warming impacts of glacial retreat and permafrost melting. This contribution is achieved through the successful application of methods which utilise ASTER data to estimate debris thickness and debris extent, and the lithological mapping of debris cover. Therefore, the potential for incorporating these remote sensing techniques for debris-covered glaciers into current global glacier monitoring programs has been highlighted. However the utility of ASTER derived DEMs for surface elevation change analysis and surface velocity estimations in a study site of steep and varied terrain has been identified as questionable, due to issues of ASTER DEM accuracy in these regions.
机译:在过去的100年中,世界许多主要冰川化山脉都记录了覆盖冰川的冰川数量的增加和冰川覆盖范围的扩大。碎片覆盖对冰川的质量平衡具有深远的影响,厚层可以隔离下层冰层并显着减少烧蚀,而薄的或片状的覆盖层则可以通过减少反照率来加速烧蚀。与“清洁”冰川相比,几乎没有研究过覆盖有碎屑的冰川,而且它们对气候变化的反应还不确定。遥感与现场数据集成在一起,为研究和监测覆盖有碎屑的冰川的变化提供了一个功能强大但尚未实现的工具。因此,本论文着重于两个主要目标:i)测试可见/近红外卫星传感器(例如TERRA ASTER)在研究覆盖有冰川的冰川方面的实用性; ii)开发技术,以充分利用这些卫星传感器的功能来提取有用的信息,并监视随时间变化的情况。研究重点是意大利阿尔卑斯山的米格冰川的四项相互关联的研究。首先,根据碎片表面的物理能量平衡模型,开发了一种从ASTER热谱带图像中提取碎片厚度图案的新方法。与场厚度测量相比,该方法比以前的经验方法更准确,并且具有可转移到其他位置的潜在优势。空气温度2 m的高空间变异性不符合标准的失误率,这给这种方法带来了困难,并被确定为未来研究的重要领域。其次,使用多种方法将ASTER和Landsat TM数据用于绘制碎片覆盖范围及其随时间的变化图。在绘制碎片范围时遇到了许多问题,包括云层覆盖和积雪混乱,空间分辨率以及确定连续碎片和零星碎片之间的边界。对1990年夏末和2004年夏末的两幅图像进行的分析显示,冰川的碎屑覆盖仅发生了小幅上升,证实了其他工作得出的结论,即在1990年代之前,Miage冰川的碎屑覆盖已增加到目前的程度。第三项研究使用ASTER DEM监测Miage冰川随时间的表面高度变化,以更新以前的研究。还使用2004年至2005年之间使用ASTER矫正的可见波段图像和ASTER DEM的特征跟踪来计算冰川舌上的表面速度。但是,由于冰川地形粗糙部分的高程误差较大,这两种应用都发现ASTER DEM的效果较差,这妨碍了对结果的全面分析和与以前的表面高程和速度研究的比较。最后,根据碎片层中不同岩石类型的光谱差异,绘制了碎片覆盖的岩性单元,提供了有关表面上不同岩石类型的位置和浓度的信息。因此,可以识别出整个冰川表面的发射率变化,这又分别影响了计算出的表面温度和烧蚀。总体而言,这项研究为理解碎片层对高山冰川的影响做出了重大贡献,这是当前许多冰川学研究的重点关注领域和当前关注点。由于冰川退缩和多年冻土融化对气候变暖的影响,由于将来的冰川监测将越来越多地不得不考虑冰川上碎屑的覆盖。这一贡献是通过成功应用利用ASTER数据估算碎片厚度和碎片范围以及碎片覆盖的岩性制图方法而实现的。因此,人们强调了将这些遥感技术用于碎屑覆盖的冰川纳入当前全球冰川监测计划的潜力。然而,由于在这些地区的ASTER DEM精度问题,ASTER派生的DEM在陡峭多变的地形研究地点进行表面高程变化分析和表面速度估计的实用性被认为是有问题的。

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  • 作者

    Foster Lesley A.;

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  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 eng
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