Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL076533 |
A Multipixel Time Series Analysis Method Accounting for Ground Motion, Atmospheric Noise, and Orbital Errors | |
Jolivet, R.1; Simons, M.2 | |
2018-02-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:4页码:1814-1824 |
文章类型 | Article |
语种 | 英语 |
国家 | France; USA |
英文摘要 | Interferometric synthetic aperture radar time series methods aim to reconstruct time-dependent ground displacements over large areas from sets of interferograms in order to detect transient, periodic, or small-amplitude deformation. Because of computational limitations, most existing methods consider each pixel independently, ignoring important spatial covariances between observations. We describe a framework to reconstruct time series of ground deformation while considering all pixels simultaneously, allowing us to account for spatial covariances, imprecise orbits, and residual atmospheric perturbations. We describe spatial covariances by an exponential decay function dependent of pixel-to-pixel distance. We approximate the impact of imprecise orbit information and residual long-wavelength atmosphere as a low-order polynomial function. Tests on synthetic data illustrate the importance of incorporating full covariances between pixels in order to avoid biased parameter reconstruction. An example of application to the northern Chilean subduction zone highlights the potential of this method. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000427564300013 |
WOS关键词 | RADAR INTERFEROMETRY ; SURFACE DEFORMATION ; ASEISMIC SLIP ; HAIYUAN FAULT ; INSAR DATA ; EARTHQUAKE ; ALGORITHM ; SYSTEM ; ZONE ; GPS |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/28052 |
专题 | 气候变化 |
作者单位 | 1.PSL Res Univ, Ecole Normale Super, Dept Geosci, CNRS UMR 8538,Lab Geol, Paris, France; 2.CALTECH, Dept Geol & Planetary Sci, Seismol Lab, Pasadena, CA 91125 USA |
推荐引用方式 GB/T 7714 | Jolivet, R.,Simons, M.. A Multipixel Time Series Analysis Method Accounting for Ground Motion, Atmospheric Noise, and Orbital Errors[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(4):1814-1824. |
APA | Jolivet, R.,&Simons, M..(2018).A Multipixel Time Series Analysis Method Accounting for Ground Motion, Atmospheric Noise, and Orbital Errors.GEOPHYSICAL RESEARCH LETTERS,45(4),1814-1824. |
MLA | Jolivet, R.,et al."A Multipixel Time Series Analysis Method Accounting for Ground Motion, Atmospheric Noise, and Orbital Errors".GEOPHYSICAL RESEARCH LETTERS 45.4(2018):1814-1824. |
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