Abstract

Landslides can have complex, spatially strongly inhomogeneous surface displacement fields with discontinuities from multiple active lobes that are deforming while failing on nested slip surfaces at different depths. For synthetic aperture radar interferometry (InSAR), particularly at lower resolutions, these characteristics can cause significant aliasing of the wrapped phase. In combination with steep terrain and seasonal snow cover, causing layover and temporal decorrelation, respectively, traditional phase unwrapping can become unfeasible, even after topographic phase contributions have been removed with an external high-resolution digital surface model (DSM). We present a novel method: warp demodulation that reduces the complexity of the phase unwrapping problem for noisy and/or aliased, low-resolution interferograms of discontinuous landslide displacement. The key input to our warp demodulation method is a single (or several) reference interferogram(s) from a high-resolution sensor mode such as TerraSAR-X Staring Spotlight with short temporal baseline and good coherence to allow localization of phase discontinuities and accurate unwrapping. The task of constructing suitable phase surfaces to approximate individual to-be-demodulated interferograms from the reference interferogram is made difficult by strong and spatially inhomogeneous temporal, seasonal, and interannual variations of the landslide with individual lobes accelerating or decelerating at different rates. This prevents using simple global scaling of the reference. Instead, our method uses an irregular grid of small patches straddling strong spatial gradients and phase discontinuities in the reference to find optimum local scaling factors that minimize the residual phase gradients across the discontinuities after demodulation. Next, for each to-be-demodulated interferogram, from these measurements we interpolate a spatially smooth global scaling function, which is then used to scale the (discontinuous) reference. Demodulation with the scaled reference leads to a residual phase that is also spatially smooth, allowing it to be unwrapped robustly after low-pass filtering. A key assumption of warp demodulation is that the locations of the phase discontinuities can be mapped in the reference and that they are stationary in time at the scale of the image resolution. We carry out extensive tests with simulated data to establish the accuracy, robustness, and limitations of the new method with respect to relevant parameters, such as decorrelation noise and aliasing along phase discontinuities. A realistic parameterization of the method is demonstrated for the example of the Fels Glacier Slide in Alaska using a recent late-summer high-resolution staring spotlight interferometric image pair from TerraSAR-X to demodulate. We show warp demodulation results for also recent but early-summer, partially incoherent interferograms of the same sensor, as well as for older and coarser aliased interferograms from RADARSAT-2, ALOS-1, and ERS.

Highlights

  • Interferometric synthetic aperture radar [1,2] (InSAR) processing techniques for measuring the Earth’s surface deformation have evolved dramatically over the last decades

  • To provide a wider context for the current version of the warp demodulation method, we summarize in Table 1 the general complicating factors to the successful phase unwrapping of interferograms of landslide motion and how far these are realized by our case study on the Fels Glacier Slide

  • We demonstrate the method for the Fels Glacier Slide using recent high-resolution Staring Spotlight [23,24] TerraSAR-X (TSX-ST) data to demodulate recent but seasonally less coherent data from TerraSAR-X, as well as earlier, coarser resolution aliased data from RADARSAT-1, ALOS-1, and ERS

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Summary

Introduction

Interferometric synthetic aperture radar [1,2] (InSAR) processing techniques for measuring the Earth’s surface deformation have evolved dramatically over the last decades. Corresponding third generation techniques have been developed for the wrapped [13] and unwrapped case [14,15], respectively, which use spatially adaptive filtering to improve coherence, while preserving spatial resolution. For the phase unwrapping of interferometric networks, more powerful spatio-temporal analogues [16] have been developed beyond the more basic pairwise algorithms [17]. The problem of unwrapping the InSAR phase has been simplified already via partial demodulation of the wrapped phase, both through the availability of higher resolution global digital elevation models (DEMs) (e.g., [18,19]) and the successful introduction of deformation models for specific types of phenomena causing surface displacement. Examples where additional deformation modeling and demodulation can lead to small phase residuals that ease phase unwrapping considerably include volcanoes, earthquakes, and glaciers [20,21]

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