Analyzing the topographic influence for the PS-INSAR processing in the Three Gorges region

Tantianuparp, Peraya; Balz, Timo; Wang, Teng; Jiang, Hanchao; Zhang, Lu; Liao, Mingsheng

doi:10.1109/igarss.2012.6350574

Cited by 3 publications

(2 citation statements)

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“…The white squares in Figure 3 show the deformation area of this landslide that appears in interferograms of ALOS PALSAR and ENVISAT ASAR datasets with small normal baselines (156 m, 47 m and 97 m), respectively. However, D-InSAR in the Three Gorges region does not only suffer from the strong temporal decorrelation, but also from the lack of good external DEMs, which causes several fringes in the differential interferogram which could be misinterpreted as surface motions [22]. (Figure 4(c)) show two fast deformation zones (circled areas) located along the southern riverbank of the Yangtze River.…”

Section: Analysis Of Interferogramsmentioning

confidence: 99%

Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

et al. 2013

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Section: Analysis Of Interferogramsmentioning

confidence: 99%

Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

et al. 2013

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“…The original (wrapped or unwrapped) phase is mostly derived from differential interferograms after removing topographic phase with external DEM. Therefore, the quality of differential interferometric phase (referred to as "original phase" hereafter) is directly affected by the external DEM, such as the phase unwrapping error caused by incorrect external DEM in mountainous areas [17,18], the aliasing of deformation signal, and topographic residues [19][20][21]. Meanwhile, it also affects the deformation …”

Section: Introductionmentioning

confidence: 99%

Effects of External Digital Elevation Model Inaccuracy on StaMPS-PS Processing: A Case Study in Shenzhen, China

Feng

Peng

et al. 2017

Remote Sensing

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External Digital Elevation Models (DEMs) with different resolutions and accuracies cause different topographic residuals in differential interferograms of Multi-temporal InSAR (MTInSAR), especially for the phase-based StaMPS-PS. The PS selection and deformation parameter estimation of StaMPS-PS are closely related to the spatially uncorrected error, which is directly affected by external DEMs. However, it is still far from clear how the high resolution and accurate external DEM affects the results of the StaMPS-PS (e.g., PS selection and deformation parameter calculation) on different platforms (X band TerraSAR, C band ENVISAT ASAR and L band ALOS/PALSAR1). In this study, abundant synthetic tests are performed to assess the influences of external DEMs on parameter estimations, such as the mean deformation rate and the deformation time-series. Real SAR images, covering Shenzhen city in China, are also selected to analyze the PS selection and distribution as well as to validate the results of synthetic tests. The results show that the PS points selected by the 5 m TanDEM-X DEM are 10.32%, 4.25% and 0.34% more than those selected by the 30 m SRTM DEM at X, C and L bands SAR platforms, respectively, when a multi-look geocoding operation is adopted for X band in the SRTM DEM case. We also find that the influences of external DEMs on the mean deformation rate are not significant and are inversely proportional to the wavelength of the satellite platforms. The standard deviations of the mean deformation rate difference for the X, C and L bands are 0.54, 0.30 and 0.10 mm/year, respectively. Similarly, the influences of external DEMs on the deformation time-series estimation for the three platforms are also slight, except for local artifacts whose root-mean-square error (RMSE) ≥6 mm. Based on these analyses, some implications and suggestions for external DEMs on StaMPS-PS processing are discussed and provided.

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The Influence of External Digital Elevation Models on PS-InSAR and SBAS Results: Implications for the Analysis of Deformation Signals Caused by Slow Moving Landslides in the Northern Apennines (Italy)

Bayer

Schmidt

Simoni

2017

IEEE Trans. Geosci. Remote Sensing

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Analyzing the topographic influence for the PS-INSAR processing in the Three Gorges region

Cited by 3 publications

References 6 publications

Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

Effects of External Digital Elevation Model Inaccuracy on StaMPS-PS Processing: A Case Study in Shenzhen, China

The Influence of External Digital Elevation Models on PS-InSAR and SBAS Results: Implications for the Analysis of Deformation Signals Caused by Slow Moving Landslides in the Northern Apennines (Italy)

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