Deformation within the Salton Trough as imaged with InSAR time series analysis

使用 InSAR 时间序列分析成像的索尔顿海槽内的变形

• 批准号: 0911464
• 负责人: Rowena Lohman
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0911464&HistoricalAwards=false
• 关键词: Deformation; within; Salton; Trough; imaged

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Project Significance: In recent years, there has been an explosion in the availability of geodetic data including continuous GPS, strainmeters and Interferometric Synthetic Aperture Radar (InSAR), opening up new possibilities for exploration of many diverse avenues of ground motion research, including subsidence, volcanic processes, tectonic deformation and landslide activity. Current barriers to full utilization of these data include the difficulty involved with assimilating observations from diverse sets of instruments, as well as extension of the data coverage to geographical areas that have traditionally posed challenges to geodetic studies. The proposed work would increase the accessibility of InSAR data by developing improved time series analysis tools and training students and researchers to apply them. We will apply our methods to the specific example of deformation across the Imperial Fault in Southern California, which experienced two large (Mw 6.6 and Mw 7.1) earthquake in the past century, and which is situated in close proximity to the southern San Andreas Fault, numerous geothermal power plants, and population centers within Southern California.Technical Description: We propose improvements to InSAR time series analysis that combine strengths of traditional, whole-interferogram methods with point target analysis (also known as permanent, or persistent scatterers). We will test these methods on problems around the world spanning a wide range of signal sizes and noise characteristics, with particular emphasis on interseismic and transient fault slip for the Imperial fault in California. We will focus on the characterization of noise and sensitivity thresholds that apply to this sort of time series analysis, with the goal of improving the ease with which such methods can be applied by other researchers to new target problems. We will make all time series analysis codes and synthetic examples available to the general community, including tutorials and course materials that address how inverse methods can be applied to studying problems in active tectonics with geodetic data. We expect that the impact of our characterization of the impact of atmospheric noise on our inversions will also be relevant to research aimed at modeling and/or correcting the effects of tropospheric water vapor in interferograms.

该奖项是根据2009年《美国恢复和再投资法》（公法111-5）的资助。项目的重要性：近年来，在可用性数据的可用性中爆炸了，包括连续的GPS，应变器和干预合成孔径雷达（INSAR），开放了许多多样性的运动，包括探索许多多样化的运动，包括探索许多多样化的运动。滑坡活动。 当前全面利用这些数据的障碍包括吸收各种工具集的观察结果的困难，以及将数据覆盖范围扩展到传统上对地理研究提出挑战的地理区域的困难。 拟议的工作将通过开发改进的时间序列分析工具以及培训学生和研究人员应用它们来提高INS数据的可访问性。我们将把我们的方法应用于南加州帝国断层的特定例子，在过去的一个世纪中经历了两次大型（MW 6.6和MW 7.1）地震，并且与南部圣安德烈亚斯的断层，众多的地热力量工厂和人口中心的众多方法中的整个过程中的整体分析相结合，该方法与整个方法相结合，该方法与整个方法相结合，这是靠近南部圣安德烈亚的断层，众多的地热力量工厂的近距离，并构成了整体。分析（也称为永久性或持续散射器）。 我们将在世界各地的问题上测试这些方法，这些方法涵盖了各种信号大小和噪声特征，并特别强调了加利福尼亚州帝国断层的瞬间和瞬态断层滑移。我们将重点介绍适用于这种时间序列分析的噪声和灵敏度阈值的表征，目的是提高其他研究人员可以将这种方法应用于新目标问题的便利性。 我们将制作所有时间序列分析代码和合成示例，包括一般社区，包括教程和课程材料，这些材料可以解决如何将逆方法应用于研究具有地理数据的主动构造问题中的问题。我们预计，我们表征大气噪声对反转影响的影响也将与旨在建模和/或纠正对流层水蒸气在干涉图中的影响的研究有关。