Presentation Of The Small Baseline NSBAS Processing Chain On A Case Example: The ETNA Deformation Monitoring From 2003 to 2010 Using ENVISAT Data
Presentation Of The Small Baseline NSBAS Processing Chain On A Case Example: The ETNA Deformation Monitoring From 2003 to 2010 Using ENVISAT Data
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2011
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通讯作者：
M. Doin;F. Lodge;S. Guillaso;R. Jolivet;C. Lasserre;G. Ducret;R. Grandin;E. Pathier;V. Pinel
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作者：
M. Doin;F. Lodge;S. Guillaso;R. Jolivet;C. Lasserre;G. Ducret;R. Grandin;E. Pathier;V. Pinel
我们组装了一个处理链，处理从原始数据到时间序列分析的InSAR计算。链的很大一部分（从原始数据到地理编码的未包裹干涉图）基于ROI PAC模块（Rosen等人，2004年），将原始例程重新排列并与新例程结合，以串行和通用雷达几何形状处理所有SAR图像和干涉图。该软件的一个新特点是距离相关的频谱滤波，以提高相干干涉图与长空间基线。附加组件包括一个在展开前估计和消除数字高程模型误差的模块，一个减轻大气相位延迟影响和消除残余轨道误差的模块，以及一个从小基线干涉图构建相位变化时间序列的模块（Berardino et al. 2002）。本文描述了处理链的主要元素，并给出了一个应用该软件的例子，该软件使用了覆盖埃特纳火山的ENVISAT任务数据集。使用InSAR技术检测缓慢的、随时间变化的地面运动，需要在较长时间内对多个雷达数据进行分析和组合。在利用近期任务（ERS, Envisat， RADARSAT）存档中的大量数据时，每次处理单个图像对变得困难且耗时。未来的任务将变得更加艰巨，比如返回周期为12天的哨兵1号。NSBAS包是一个全自动的处理链，产生一个区域上的视线表面运动的时间表。它特别优化了监测小振幅的瞬态地面运动，发生在大面积和自然环境中。在接下来的章节中，我们将综合该链的各种特征，并参考有关应用于各种自然过程的软件组件的原始描述和讨论的出版物。NSBAS处理链如图1中的流程图所示。在本文中，它应用于埃特纳火山地质灾害超级站点的研究，使用Envisat数据从上升轨道（图2）。该数据集已经得到了很好的研究，并为我们提供了一个很好的案例。它由2003 - 2010年的63个SAR数据组成。
We assemble a processing chain that handles InSAR computation from raw data to time series analysis. A large part of the chain (from raw data to geocoded unwrapped interferograms) is based on ROI PAC modules (Rosen et al., 2004), with original routines rearranged and combined with new routines to process in series and in a common radar geometry all SAR images and interferograms. A new feature of the software is the range-dependent spectral filtering to improve coherence in interferograms with long spatial baselines. Additional components include a module to estimate and remove digital elevation model errors before unwrapping, a module to mitigate the effects of the atmospheric phase delay and remove residual orbit errors, and a module to construct the phase change time series from small baseline interferograms (Berardino et al. 2002). This paper describes the main elements of the processing chain and presents an example of application of the software using a data set from the ENVISAT mission covering the Etna volcano. The detection of slow, time-dependent ground motion using the InSAR technique requires the analysis and combination of multiple radar data takes over an extended time period. Processing individual image pairs, one at a time, becomes difficult and time consuming when exploiting the large amount of data in the archive of recent missions (ERS, Envisat, RADARSAT). This task will become even greater with future missions like Sentinel-1 with a return period of 12 days. The NSBAS package is a fully automatic chain of processing producing a timelines of the line of sight surface movement over an area. It has been especially optimized for the monitoring of transient ground motion of small amplitude, taking place over large areas and in natural settings. In the next sections we synthethize the various features of the chain and refer to publications for the original description and discussion of the software components applied to various natural processes. The NSBAS processing chain is depicted in a flow diagram in Fig. 1. In the present paper, it is applied to the study of the Geohazards Supersite of Mount Etna volcano using Envisat data from an ascending track (Fig. 2) This dataset has been well studied and provides us with a good case example. It consists of 63 SAR data between 2003 and 2010.