Subsidence monitoring using SAR interferometry: Reduction of the atmospheric effects using stochastic filtering

Crosetto, Michele; Tscherning, C. C.; Crippa, B.; Castillo, Manuel

doi:10.1029/2001gl013544

Cited by 47 publications

(23 citation statements)

References 12 publications

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“…InSAR has been used successfully to investigate deformation resulting from land subsidence (Hoffmann et al, 2001;Crosetto et al, 2002;Woldai et al, 2009), earthquakes (Massonnet et al, 1993) and volcanic activities (Massonnet et al, 1995;Hanssen, 2001). While InSAR is more sensitive to deformation in the satellite line of sight (LOS) direction, Sub-pixel Correlation Technique (SCT) is applied on a pair of remotely sensed data sets (SAR or optical images) to measure horizontal surface deformation where large deformation gradients complicate phase identification and unwrapping by InSAR (Sarti et al, 2006).…”

Section: Introductionmentioning

confidence: 98%

Surface deformation caused by April 6th 2009 earthquake in L’Aquila (Italy): A comparative analysis from ENVISAT ASAR, ALOS PALSAR and ASTER

Goudarzi

Woldai

Tolpekin

2011

International Journal of Applied Earth Observation and Geoinfor

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Section: Introductionmentioning

confidence: 98%

Surface deformation caused by April 6th 2009 earthquake in L’Aquila (Italy): A comparative analysis from ENVISAT ASAR, ALOS PALSAR and ASTER

Goudarzi

Woldai

Tolpekin

2011

International Journal of Applied Earth Observation and Geoinfor

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“…We have applied the classical DInSAR procedure consisting in co-registration of images, creation of the differential interferogram, unwrapping and removal of atmospheric effects [8] [9]. We make the choice of focusing on the better determined DInSAR displacement component which is the vertical one.…”

Section: Preliminary Resultsmentioning

confidence: 99%

Coupling geophysical modelling and geodesy to unravel the physics of active faults

Crippa

Sabadini

Chersich³

et al. 2008

2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas

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The major requirements of seismic hazard assessment must address mainly the information about the expected location, time and magnitude of the impending strong earthquakes, as well as the scenarios ground motion associated with the possible future seismic events. While the quick notification of seismic events, appears nowadays pretty well established, thanks to the development of regional and local seismic networks, in terms of prevention more and more importance is devoted to studies of the inter-and pre-seismic earthquake cycle. To improve the intra seismic and pre-seismic information, which may lead to an effective mitigation of seismic risk, we are proposing an innovative approach, that combines Earth Observation data (GPS and SAR) and new advanced approaches in seismological and geophysical data analysis. The employed EO data are the observations acquired by means of SAR sensors, treated by Differential Interferometric techniques, the data observation acquired by permanent GPS stations or "ad-hoc" campaigns of the observations done over earthquake prone area. The aim is to combine the geophysical modelling of the faults with the surface displacement measured with the two mentioned techniques. In particular, application of the DInSAR techniques, using a stacking of interferograms, makes it possible, under the classical interferometric constraints (coherence, baseline, etc.), to retrieve a vertical displacements map, referred to a temporal interval, over areas where seismic fault system are localized. The displacements fields coming from GPS/DInSAR and other additional information, constitute the input for the geophysical model which shall indicate whether the fault is in a "critical situation".

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“…This simple analysis can be useful to study fast deformation phenomena [8], or displacements occurred in a short period of time when compared to the satellite revisiting time, for example, co-seismic deformation. The best results are achieved using several pairs of interferograms and restricting the analysis to small areas (e.g., up to a few square kilometres), see also [9].…”

Section: Dinsar Analysis Strategiesmentioning

confidence: 99%

Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement

Crosetto¹,

Monserrat²,

Cuevas-González³

et al. 2011

Remote Sensing

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This paper is focused on spaceborne Differential Interferometric SAR (DInSAR) for land deformation measurement and monitoring. In the last two decades several DInSAR data analysis procedures have been proposed. The objective of this paper is to describe the DInSAR data processing and analysis tools developed at the Institute of Geomatics in almost ten years of research activities. Four main DInSAR analysis procedures are described, which range from the standard DInSAR analysis based on a single interferogram to more advanced Persistent Scatterer Interferometry (PSI) approaches. These different procedures guarantee a sufficient flexibility in DInSAR data processing. In order to provide a technical insight into these analysis procedures, a whole section discusses their main data processing and analysis steps, especially those needed in PSI analyses. A specific section is devoted to the core of our PSI analysis tools: the so-called 2+1D phase unwrapping procedure, which couples a 2D phase unwrapping, performed interferogram-wise, with a kind of 1D phase unwrapping along time, performed pixel-wise. In the last part of the paper, some examples of DInSAR results are discussed, which were derived by standard DInSAR or PSI analyses. Most of these results were derived from X-band SAR data coming from the TerraSAR-X and CosmoSkyMed sensors.

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Subsidence monitoring using SAR interferometry: Reduction of the atmospheric effects using stochastic filtering

Cited by 47 publications

References 12 publications

Surface deformation caused by April 6th 2009 earthquake in L’Aquila (Italy): A comparative analysis from ENVISAT ASAR, ALOS PALSAR and ASTER

Surface deformation caused by April 6th 2009 earthquake in L’Aquila (Italy): A comparative analysis from ENVISAT ASAR, ALOS PALSAR and ASTER

Coupling geophysical modelling and geodesy to unravel the physics of active faults

Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement

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