Multidimensional time‐series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province
Multidimensional time‐series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province
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DOI：
10.1111/j.1365-246x.2012.05669.x
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发表时间：
2012-12
影响因子：
2.8
通讯作者：
S. Samsonov;N. d'Oreye
中科院分区：
文献类型：
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作者：
S. Samsonov;N. d'Oreye
摘要提出了一种新的多维小基线子集(MSBAS)方法，用于对多个干涉合成孔径雷达(InSAR)数据集进行积分，以计算二维或三维变形时间序列。该方法允许结合所有可能的机载和星载合成孔径雷达数据，这些数据具有不同的采集参数、时间和空间采样和分辨率、波段和极化。所产生的时间序列提高了时间分辨率，并且可以通过应用正则化或时间滤波来去除高频噪声来增强。我们应用这种方法绘制了2003-2010年刚果民主共和国北基伍维龙加火山省(VVP)的地面形变图。地表位移的水平和垂直时间序列清楚地识别出熔岩压实区、尼亚穆拉基拉山的长期变形以及2004年、2006年和2010年的前和俯冲变形。如果有足够的合成孔径雷达数据，该方法为探测VVP和其他地方的地面运动开辟了新的机会。
SUMMARY A novel, multidimensional small baseline subset (MSBAS) methodology is presented for integration of multiple interferometric synthetic aperture radar (InSAR) data sets for computation of 2- or 3-D time-series of deformation. The proposed approach allows the combination of all possible air-borne and space-borne SAR data acquired with different acquisition parameters, temporal and spatial sampling and resolution, wave-band and polarization. The produced time-series have improved temporal resolution and can be enhanced by applying either regularization or temporal filtering to remove high-frequency noise. We apply this methodology to map 2003–2010 ground deformation of the Virunga Volcanic Province (VVP), North Kivu, Democratic Republic of Congo. The horizontal and vertical time-series of ground displacement clearly identify lava compaction areas, long-term deformation of Mt Nyamuragira and 2004, 2006 and 2010 pre- and coeruptive deformation. Providing that enough SAR data is available, the method opens new opportunities for detecting ground motion in the VVP and elsewhere.