Submillimeter Accuracy of Multipass Corner Reflector Monitoring by PS Technique

Quin, Guillaume; Loreaux, P

doi:10.1109/tgrs.2012.2206600

Cited by 23 publications

(16 citation statements)

References 15 publications

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“…Some technical aspects of DInSAR monitoring using CRs are described in Xia et al (2002) and Crosetto et al (2013). CRs have been used in different studies to assess the performance of DInSAR and PSI Marinkovic et al, 2007;Quin and Loreaux, 2013). They have also been employed in several PSI applications, e.g.…”

Section: Artificial Corner Reflectorsmentioning

confidence: 99%

“…A validation based on the intermediate products of different PSI chains, which was carried out in the Terrafirma Validation Project, is described in Adam et al (2009). Two works describe experiments based on CRs performed under optimal PSI conditions: Marinkovic et al (2007) report a r of the double differences along the vertical of 1.6 mm and 2.6 mm for Envisat and ERS data, respectively, using levelling data, and Quin and Loreaux (2013) report a r of the TerraSAR-X LOS time series of 0.48 mm using micrometers. Several works describe validation results of deformation velocity and time series, mainly based on levelling and GPS data.…”

Section: Psi Validationmentioning

confidence: 99%

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Persistent Scatterer Interferometry: A review

Crosetto

Monserrat

Cuevas-González

et al. 2016

ISPRS Journal of Photogrammetry and Remote Sensing

808

502

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a b s t r a c t Persistent Scatterer Interferometry (PSI) is a powerful remote sensing technique able to measure and monitor displacements of the Earth's surface over time. Specifically, PSI is a radar-based technique that belongs to the group of differential interferometric Synthetic Aperture Radar (SAR). This paper provides a review of such PSI technique. It firstly recalls the basic principles of SAR interferometry, differential SAR interferometry and PSI. Then, a review of the main PSI algorithms proposed in the literature is provided, describing the main approaches and the most important works devoted to single aspects of PSI. A central part of this paper is devoted to the discussion of different characteristics and technical aspects of PSI, e.g. SAR data availability, maximum deformation rates, deformation time series, thermal expansion component of PSI observations, etc. The paper then goes through the most important PSI validation activities, which have provided valuable inputs for the PSI development and its acceptability at scientific, technical and commercial level. This is followed by a description of the main PSI applications developed in the last fifteen years. The paper concludes with a discussion of the main open PSI problems and the associated future research lines.

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Section: Artificial Corner Reflectorsmentioning

confidence: 99%

Section: Psi Validationmentioning

confidence: 99%

Persistent Scatterer Interferometry: A review

Crosetto

Monserrat

Cuevas-González

et al. 2016

ISPRS Journal of Photogrammetry and Remote Sensing

808

502

View full text Add to dashboard Cite

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“…Since standard multi-temporal interferometric software do not generally provide estimates of the measurement accuracy (e.g., [57]), the latter is frequently evaluated by comparing the DInSAR deformation time series with the one obtained from permanent GNSS stations in the area (e.g., [18,58]) or by performing statistical analysis of the signal to estimate the phase noise component (e.g., A significant part of the errors on displacement measurements obtained for a single interferogram is related to the phase noise registered by the radar [53,54]. The main source of noise is caused by the radar signal propagation through a variable atmosphere; temperature, pressure and in particular variations of water vapour content in the atmosphere produce delays that can lead to measurement errors up to several centimetres [26,27,54].…”

Section: Sar Data and Dinsar Processingmentioning

confidence: 99%

“…Since standard multi-temporal interferometric software do not generally provide estimates of the measurement accuracy (e.g., [57]), the latter is frequently evaluated by comparing the DInSAR deformation time series with the one obtained from permanent GNSS stations in the area (e.g., [18,58]) or by performing statistical analysis of the signal to estimate the phase noise component (e.g., [57,59]). Generally, the accuracy of DInSAR measurements varies from 1 to 5 mm/year (e.g., [18,26,59]); a value that depends strongly on the sensor wavelength, the number of acquisitions and interferograms processed and other parameters such as the general coherence over the area.…”

Section: Sar Data and Dinsar Processingmentioning

confidence: 99%

Multi-Temporal DInSAR to Characterise Landslide Ground Deformations in a Tropical Urban Environment: Focus on Bukavu (DR Congo)

et al. 2018

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Abstract:Landslides can lead to high impacts in less developed countries, particularly in tropical environments where a combination of intense rainfall, active tectonics, steep topography, and high population density can be found. However, the processes controlling landslide initiation and their evolution through time remains poorly understood. Here we show the relevance of the use of the multi-temporal differential radar interferometric (DInSAR) technique to characterise ground deformations associated with landslides in the rapidly-expanding city of Bukavu (DR Congo). We use 70 COSMO-SkyMed synthetic aperture radar images acquired between March 2015 and April 2016 with a mean revisiting time of eight days to produce ground deformation rate maps and displacement time series using the small baseline subset approach. We find that various landslide processes of different ages, mechanisms, and states of activity can be identified. Ground deformations revealed by DInSAR are found consistent with field observations and differential GPS measurements. Our analysis highlights the ability of DInSAR to grasp landslide deformation patterns affecting the complex tropical-urban environment of the city of Bukavu. However, longer time series will be needed to infer landside responses to climate, seismic, and anthropogenic drivers.

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“…The second level of PSCs is for the densification of the PS distribution. If PS density is still low over a target area, artificial corner reflectors can be used to provide strong responses in the SAR image so as to achieve a good interferometric phases for the estimation of the deformation and assess the performance of DInSAR and PSI [13][14][15]. Technical aspects on artificial corner reflectors in DIn-SAR are described in Ye et al [16] and Crosetto et al [17].…”

Section: Persistent Scatterer Detectionmentioning

confidence: 99%

A technical review on persistent scatterer interferometry

Jia

Liu

2016

J. Mod. Transport.

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This article focuses on reviewing the technologies of persistent scatterer interferometry (PSI), which has been often used to monitor the deformation of Earth surface. Three critical steps in the implementation of PSI were introduced, i.e., (1) detection of persistent scatterer (PS), (2) construction of PS network, and (3) PSI modeling and solution. Finally, the main problems and outlooks on the PSI technique are discussed and given.

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Submillimeter Accuracy of Multipass Corner Reflector Monitoring by PS Technique

Cited by 23 publications

References 15 publications

Persistent Scatterer Interferometry: A review

Persistent Scatterer Interferometry: A review

Multi-Temporal DInSAR to Characterise Landslide Ground Deformations in a Tropical Urban Environment: Focus on Bukavu (DR Congo)

A technical review on persistent scatterer interferometry

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