Tropospheric delays are considered to be one of the main performance limitations for Interferometric Synthetic Aperture Radar technology when applied to ground deformation monitoring. In this study, we evaluate the performance of ERA-Interim global atmospheric reanalysis on estimating the tropospheric delay on Sentinel-1 InSAR observations. The results are validated by four D-InSAR interferogra...

This paper focuses on the performance achievable by spaceborne Synthetic Aperture Radar Interferometry (InSAR) in the estimation of line-of-sight crustal deformations from acquisitions over a distributed scatterer. Our model is suited for exploiting the Hybrid Cramér-Rao Bound (HCRB), where the unknowns are both deterministic parameters and stochastic variables. We take into account both target...

The new high-resolution synthetic aperture radar (SAR) satellite systems offer new possibilities for urban remote sensing. COSMOSkyMed and TerraSAR-X operate in X-band and both can deliver data with a spatial resolution of up to one meter. High-resolution SAR data is particularly useful for post-disaster damage assessment and monitoring, because SAR systems operate (almost) weather independent....

In this paper, recently conceived polarimetric array signal processing techniques are applied for producing 3D images over forested scenes from multibaseline POL-InSAR observations. Subsequently, the optimal scattering mechanisms are investigated using polarimetric decomposition algorithms. The derived structural forest parameters serve as a basis for determining the biomass. This three-dimensi...

Synthetic Aperture Radar Interferometry (InSAR) is an established method for the detection and monitoring of earth surface processes. This approach has been most successful where the observed area fulfills specific requirements, such as sufficient backscattering, flat slope gradients or very slow changes of vegetation. We investigated the capability of two different InSAR techniques and achieve...

a r t i c l e i n f o Satellite Radar Interferometry (InSAR) is suited to monitoring ground deformation on the scale of volcanic arcs, providing insight into the eruptive cycle over both long and short time periods. However, these measurements are often contaminated with atmospheric artefacts caused by changes in the refractivity of the atmosphere. Here, we test the use of two large-scale atmos...

S U M M A R Y Long-term volcanic subsidence provides insight into intereruptive processes, which comprise the longest portion of the eruptive cycle. Ground-based geodetic surveys of Medicine Lake Volcano (MLV), northern CA, document subsidence at rates of∼−10 mm yr−1 between 1954 and 2004. The long observation period plus the duration and stable magnitude of this signal presents an ideal opport...

In this thesis, spectral analysis techniques are generalized to process polari-metric multibaseline interferometric SAR data. These polarimetric arraysignal processing algorithms are described in a rigorous mathematical wayand applied to urban areas. They permit the estimation of the reflectorheight, the scattering mechanism, and the polarimetric reflectivity. Fromsingle...

Since the quality of an inteferogram is still limited by the contributions of atmospheric variations and orbital uncertainties, the problem is to distinguish them from deformation signals. Thus, eliminating the geometric orbital error would improve the quality of an Interferometric Synthetic Aperture Radar (InSAR) image and make it easier to detect atmospheric artifacts. In this paper, we try t...

In the InSAR solution, uneven distribution of permanent scatterer candidates (PSCs) or slowly decoherent filtering phase (SDFP) pixel density in a region variable radar reflection feature can cause local low accuracy single interferometry. PSCs with higher-order coherence Permanent Scatter (PS-InSAR) are generally distributed those point targets urban built-up areas, and SDFP pixels Small Basel...