Modeling Multifrequency Pol-InSAR Data From the Percolation Zone of the Greenland Ice Sheet

Fischer, Georg; Papathanassiou, Konstantinos; Hajnsek, Irena

doi:10.1109/tgrs.2018.2870301

Cited by 13 publications

(22 citation statements)

References 26 publications

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“…This depth could correspond to the last summer surface. At South Dome, a weaker layer at -2 m and a particularly strong layer at -3 m were detected, which are not visible in the GPR data [14].…”

Section: B Ground Measurementsmentioning

confidence: 67%

“…3) at both test sites with a 500 MHz pulsed radar system. These examples can be considered representative for the entire test sites [14] due to the horizontal homogeneity of the area. The GPR profiles acquired before and after the SAR acquisitions are very similar without any perceptible differences.…”

Section: B Ground Measurementsmentioning

confidence: 99%

“…The GPR profiles acquired before and after the SAR acquisitions are very similar without any perceptible differences. Further details on the GPR data can be found in [14]. The GPR data at South Dome (Fig.…”

Section: B Ground Measurementsmentioning

confidence: 99%

“…The effect of refrozen melt layers within the firn column in the percolation zone of Greenland on interferometric coherences was modelled in [14] using Dirac deltas in combination with a UV model for the background volume. Although this model accurately reproduces coherence magnitudes, it also fails to explain the location of the interferometric phase center, which motivated the use of nonuniform volume models [5].…”

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confidence: 99%

“…By exploiting multi-baseline InSAR data, this technique was demonstrated for snow [15], lake and fjord ice [16], glaciers [17], and ice sheets [18] and can be used to investigate volume structure modeling. If distinct scattering from refrozen melt layers is present [14], a layer attenuation procedure needs to be applied first to access the general shape of the backscattering distribution of the background volume.…”

mentioning

confidence: 99%

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Modeling the Vertical Backscattering Distribution in the Percolation Zone of the Greenland Ice Sheet With SAR Tomography

Fischer

Jäger

Papathanassiou

et al. 2019

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The penetration of microwave signals into snow and ice, especially in dry conditions, introduces a bias in digital elevation models generated by means of synthetic aperture radar (SAR) interferometry. This bias depends directly on the vertical backscattering distribution in the subsurface. At the same time, the sensitivity of interferometric SAR measurements on the vertical backscattering distribution provides the potential to derive information about the subsurface of glaciers and ice sheets from SAR data, which could support the assessment of their dynamics. The aim of this paper is to improve the interferometric modeling of the vertical backscattering distribution in order to support subsurface structure retrieval and penetration bias estimation. Vertical backscattering distributions are investigated at different frequencies and polarizations on two test sites in the percolation zone of Greenland using fully polarimetric X-, C-, Land nd P-band SAR data. The vertical backscattering distributions were reconstructed by means of SAR tomography and compared to different vertical structure models. The tomographic assessment indicated that the subsurface in the upper percolation zone is dominated by scattering layers at specific depths, while a more homogeneous scattering structure appears in the lower percolation zone. The performance of the evaluated structure models, namely an exponential function with a vertical shift, a Gaussian function and a Weibull function, was evaluated. The proposed models improve the representation of the data compared to existing models while the complexity is still low to enable potential model inversion approaches. The tomographic analysis and the model assessment is therefore a step forward towards subsurface structure information and penetration bias estimation from SAR data.

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Section: B Ground Measurementsmentioning

confidence: 67%

Section: B Ground Measurementsmentioning

confidence: 99%

Section: B Ground Measurementsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Modeling the Vertical Backscattering Distribution in the Percolation Zone of the Greenland Ice Sheet With SAR Tomography

Fischer

Jäger

Papathanassiou

et al. 2019

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Investigating the Potential to Estimate Insar Penetration Depth Over Ice Sheets from Pol-Insar Data

Fischer¹,

Parrella²,

Papathanassiou³

et al. 2019

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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Digital elevation models generated with SAR interferometry (InSAR) are an important information source for glacier and ice sheet mass balance. However, the measured elevations suffer from a penetration bias due to the interferometric phase center being up to several tens of meters below the surface. The penetration of the microwave signals depends on SAR parameters (e.g. frequency) and snow and ice conditions. There is potential to estimate this penetration bias directly from the data by means of polarimetric InSAR models. Existing models fail to describe the data across different test sites and ice conditions and phase centers were found to be deeper than predicted by these models. SAR tomography is employed to assess the vertical distribution of backscattering in the data from an airborne campaign. The data are compared to refined models in order to find better representations of the vertical backscattering distribution, while the model complexity is purposely kept simple to make a phase center estimation possible. Additionally, recent work showed the importance of strong subsurface layers which influence phase center depth. Combining the refined subsurface structure models and dominant subsurface layers allows simulating a variety of ice sheet subsurface scenarios and can be used to assess the potential to estimate the InSAR phase center depth directly from the data.

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Multi frequency SAR surveys: possibilities and applications

Montuori

Rocca

Tapete

2022

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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Modeling Multifrequency Pol-InSAR Data From the Percolation Zone of the Greenland Ice Sheet

Cited by 13 publications

References 26 publications

Modeling the Vertical Backscattering Distribution in the Percolation Zone of the Greenland Ice Sheet With SAR Tomography

Modeling the Vertical Backscattering Distribution in the Percolation Zone of the Greenland Ice Sheet With SAR Tomography

Investigating the Potential to Estimate Insar Penetration Depth Over Ice Sheets from Pol-Insar Data

Multi frequency SAR surveys: possibilities and applications

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