Extending Persistent Scatterer InSAR to Heavily Vegetated Regions Using Information Theoretic Analysis

使用信息理论分析将持续散射体 InSAR 扩展到植被茂密的地区

• 批准号: 0710837
• 负责人: Howard Zebker
• 金额: $ 30.69万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0710837&HistoricalAwards=false
• 关键词: Extending; Persistent; Scatterer; InSAR; Heavily

Crustal deformation measurements contribute enormously to our understanding of tectonics, earthquakes, volcanism, and landslides by permitting us to see processes we cannot observe directly. They are used routinely to constrain the subsurface geometry of active faults, to infer the spatial distribution of coseismic slip, and to study the response of the elastic crust to magma intrusion preceding volcanic eruptions. These data are the primary means for recording aseismic processes such as afterslip, viscoelastic and poroelastic adjustments and silent earthquakes. Accurate measurements of inflationary doming and stretching of the crust help in the forecasting of volcanic activity. Similar data play an important role in quantifying the kinematics of active landslides.Using modern information theory, the investigators have generalized persistent scatterer techniques for InSAR, a visual geodetic technique that permits detailed mapping of motion over wide areas and exposes complex deformation patterns. Their technique helps to find stable points in natural terrain which can be used as a network of fiducial points in otherwise poor-quality interferograms. This will help extend InSAR analysis to heavily vegitated areas. The investigators are applying their new techniques to the San Francisco Bay segment of the San Andreas Fault and Hayward Fault. Their obervations will help follow the earthquake cycle in more areas and may compliment geodetic measurement of volcanoes, as well as improve InSAR capabilities in many other applications. The Broader Impacts of the project include adding more information to assess natural hazards, like earthquakes, volcanoes and landslides, in a variety of terrains, training of graduate students in these methods and making software and algorithms freely available to interested researchers.

地壳形变测量极大地帮助我们了解构造、地震、火山活动和滑坡，使我们能够看到我们无法直接观察到的过程。它们通常被用来约束地下的活动断层的几何形状，推断同震滑动的空间分布，并研究火山爆发前的岩浆侵入的弹性地壳的响应。这些数据是记录地震过程的主要手段，如后滑，粘弹性和孔隙弹性调整和无声地震。对膨胀隆起和地壳拉伸的精确测量有助于预测火山活动。类似的数据在量化活动性滑坡的运动学方面发挥着重要作用，调查人员利用现代信息理论，推广了干涉合成孔径雷达的持续散射体技术，这是一种可视的大地测量技术，可以详细绘制大面积的运动图，并揭示复杂的变形模式。他们的技术有助于在自然地形中找到稳定的点，这些点可以用作其他质量差的干涉图中的基准点网络。这将有助于将干涉合成孔径雷达分析扩展到植被覆盖严重的地区。调查人员正在将他们的新技术应用于圣安德烈亚斯断层和海沃德断层的旧金山弗朗西斯科湾段。它们的观测结果将有助于跟踪更多地区的地震周期，并可能补充火山的大地测量，以及提高干涉合成孔径雷达在许多其他应用中的能力。该项目的更广泛影响包括增加更多信息，以评估各种地形中的地震，火山和山体滑坡等自然灾害，培训研究生使用这些方法，并向感兴趣的研究人员免费提供软件和算法。