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Beyond Single Interferograms: Inference of Subsurface Processes with Subtle Deformation Signatures from Time Series InSAR

超越单一干涉图：利用时间序列 InSAR 的细微变形特征推断地下过程

基本信息

批准号：
0309425
负责人：
Howard Zebker
金额：
$ 30.29万
依托单位：
Stanford University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2003
资助国家：
美国
起止时间：
2003-07-01 至 2007-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0309425&HistoricalAwards=false
关键词：
Beyond Single Interferograms Inference Subsurface

项目摘要

Beyond single interferograms: inference of subsurface processes with subtle deformation signatures from time series InSARHoward A. Zebker, Paul SegallStanford UniversityInSAR, an exceptional technique for visualizing andquantifying crustal deformation patterns, has largely beenlimited in application to arid environments. Subtlephenomena such as interseismic strain accumulation orpre-eruptive deformation of volcanic edifices can producesurface signatures that are undetected in single radarinterferograms because of i) temporal decorrelation noisedue to vegetation and ii) propagation through aspatially-variable troposphere. We propose to view thesesmall signals using data acquired by Envisat, a newsatellite launched by ESA in March 2002. This new radarincorporates electronic beam steering, which permitsmultiple observations of a given study site during asingle orbit cycle. Furthermore, rapid beam switchingenables a ScanSAR capability for imaging wide swaths.Although the satellite is to be orbited in a 35 dayrepeat orbit similar to that of ERS-1 and ?2, ScanSAR canyield much denser temporal data, with each point on theground imaged four times during each cycle. We proposehere to develop algorithms and methods to produce routineScanSAR interferograms resulting in dense deformation timeseries measurements. We also will develop filters basedon spatio-temporal models of expected signals and errorsources to coax deformations from within the noisybackground.

超越单一干涉图：从时间序列推断具有细微变形特征的地下过程。Zebker，Paul Segall斯坦福大学InSAR是一种用于可视化和量化地壳形变模式的特殊技术，在干旱环境中的应用很大程度上受到限制。微妙的现象，如地震间的应变积累或火山喷发前的变形，可以产生表面的签名，是无法检测到的单雷达干涉图，因为i）时间去相关噪声由于植被和ii）传播通过空间可变对流层。我们建议使用欧空局于2002年3月发射的新卫星Envisat获得的数据来查看这些小信号。这种新的雷达结合了电子波束控制，它可以在一个轨道周期内对给定的研究地点进行多次观测。此外，快速波束切换使扫描合成孔径雷达成像能力广泛swastes.Although卫星是在一个35天重复轨道类似的ERS-1和？2、ScanSAR可以产生更密集的时间数据，每个周期内地面上的每个点可以成像四次。我们建议在这里开发的算法和方法，以产生routineScanSAR干涉图，导致密集的变形时间序列测量。我们还将开发基于预期信号和误差源的时空模型的滤波器，以从噪声背景中诱导变形。