The SAR (Synthetic Aperture Radar) imagery are widely used in order to monitor displacements impacting the Earth surface and infrastructures. The main remote sensing technique to extract sub-centimeter information from SAR imagery is the Differential SAR Interferometry (DInSAR), based on the phase information only. However, it is well known that DInSAR technique may suffer for lack of coherence...

This paper describes the results from the recently launched SAR satellites for the purpose of subsidence monitoring over underground coal mine sites in the state of New South Wales, Australia, using differential interferometric synthetic aperture radar (DInSAR) technique. The quality of the mine subsidence monitoring results is mainly constrained by noise due to the spatial and temporal decorre...

Differential radar interferometry (DInSAR) has been used more and more widely to monitor crustal deformations due to underground mining and oil extraction, earthquakes, volcanoes, landslides, and so on. However, tropospheric heterogeneities have been identified as one of the major errors in DInSAR, which can be up to 40cm as derived from dual-frequency GPS measurements in the example given in t...

The mapping of soil moisture at field scales can potentially be achieved by the remote sensing technique differential interferometry, or DInSAR. Its signals have been shown to be sensitive to soil moisture changes. We analyse the suitability for this task of three DInSAR observables: the phase φ, the coherence |γ| and the phase triplets Ξ. By inverting an electromagnetic scattering model, we ob...

Differential Synthetic Aperture Radar Interferometry (DInSAR) represents nowadays a wellestablished remote sensing technique to generate spatially dense surface deformation maps of large areas on Earth (Massonnet & Feigl, 1999; Bürgmann et. al., 2000). To achieve this task, the phase difference (known as interferogram) between SAR data pairs related to temporally-separated observations is explo...

Differential Interferometric SAR (DInSAR) time-series techniques can be used to derive surface displacement rates with accuracies of 1 mm/year, by measuring the one-dimensional distance change between a satellite and the surface over time. However, the slanted direction of the measurements complicates interpretation of the signal, especially in regions that are subject to multiple deformation p...

Mapping deformation field time-series, including vertical and horizontal motions, is vital for landslide monitoring and slope safety assessment. However, the conventional differential synthetic aperture radar interferometry (DInSAR) technique can only detect the displacement component in the satellite-to-ground direction, i.e., line-of-sight (LOS) direction displacement. To overcome this constr...

Due to the rapid growth of economy in China, the amount of water usage has increased dramatically in many major cities. The over exploitation of underground water in the north region of China causes severe urban subsidence over last 3 decades. The conventional surveying methods have been used to monitor the subsidence. It is, however, very challenging to identify the coverage of the subsidence ...

Sinkholes represent the main hazards in karst areas, and are related to presence of natural and anthropogenic cavities. In order to mitigate the risk related to sinkholes, identification of likely premonitory signs preceding the catastrophic phase of collapse may be extremely important. Remote sensing and surface monitoring can be used at this aim: multi-pass spaceborne Differential Synthetic A...

DInSAR techniques with multiple images are aimed to extract the deformation series from a selected scene using a set of interferograms acquired in different temporal instants. The detection of highly non-linear deformation patterns is a demanding issue for these techniques. In order to get a high quality and reduced set of interferograms, a new selection method is proposed based on a Minimum Sp...