[1] The principal limitations of interferometric synthetic aperture radar (InSAR) to measure subtle, long‐wavelength deformation are uncertainties associated with the satellite orbits. We propose a method to remove orbital phase errors from the InSAR data by integrating InSAR and continuous GPS time series. We model the along‐track variation of the baseline errors as second‐order polynomials an...

The paper has demonstrated InSAR phase unwrapping using Hybrid Genetic Algorithm (GHA). The three dimensional phase unwrapping is performed using three-dimensional best-path avoiding singularity loops (3DBPASL) algorithm. Then phase matching is implemented with 3DBPASL using Hybrid Genetic Algorithm (GHA). Further, the combination between GHA and 3DBPASL is used to eliminate the phase decorrela...

Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique that is sensitive to the vertical distribution of scattering processes in volumes. The Random Volume over Ground (RVoG) model is a powerful tool used to invert forest height from PolInSAR data. But Pol-InSAR inversion performance depends critically on uncompensated decorrelation contributions (i.e. temporal decorrel...

Ground subsidence can be caused by both natural and human-induced activities. In this paper, a radar remote sensing technique named Differential Interferometric SAR (D-InSAR) is introduced as means of monitoring the ground deformation caused by mining activities. D-InSAR and current geodetic technologies, such as GPS, are complementary in monitoring ground subsidence due to underground mining a...

Land subsidence is a global issue and researchers from all over the world are keen to know the causes of deformation and its further influences. This paper reports the findings from time series InSAR (TS-InSAR) results over the Southern Coalfield, Australia using both ALOS-1 PALSAR (Phased Array type L-band Synthetic Aperture Radar) and ENVISAT ASAR (Advanced Synthetic Aperture Radar) datasets....

In this paper, we report on the results of InSAR monitoring of several high-risk GeohazardsLandslides, Earthquakes and Volcanoesareas using RADARSAT 1&2 images. InSAR techniques are increasingly being used for geohazard assessment. Our research has shown that differential InSAR and coherent target monitoring techniques with installed corner reflectors are used to monitor landslide activity alon...

In spaceborne dual-antenna (i.e., single-pass mode) interferometric synthetic aperture radar (InSAR) system, the alignment of the master and slave antenna beam is crucial. In order to achieve the best interferometric performance, antenna beams should be coincided with each other between the master and slave. The beam alignment of the first spaceborne dual-antenna InSAR system, the Shuttle Radar...

Geosynchronous synthetic aperture radar (GEO SAR) will move in a high orbit of ~36,000 km with a long integration time of hundreds of seconds. It is obviously impacted by orbital perturbations and the Earth’s rotation, which can give rise to un-parallel repeated tracks and induce a squint-looking angle in the repeat-track SAR interferometry (InSAR). Thus, the traditional data acquisition method...

SAR Interferometry (InSAR) provides data that contain information relating to the phase and coherence components of the backscattered radar signals. Phase information is used to derive Digital Elevation Models (DEM). This paper presents the results of an analysis of the accuracy of InSAR DEM derived from ESAR L-band airborne repeat-pass fully polarimetric InSAR data, which were acquired over Th...

[1] While many earthquakes have now been studied using interferometric synthetic aperture radar (InSAR) data, a full assessment of the quality and additional value of InSAR source parameters compared to seismological techniques is still lacking. We compile a catalog of source models obtained using InSAR and estimate the corresponding centroid moment tensor (CMT) parameters; we refer to this com...