A Review of Time-Series Interferometric SAR Techniques: A Tutorial for Surface Deformation Analysis

Xue, Fei; Lv, Xiaolei; Dou, Fangjia; Ye, Yun

doi:10.1109/mgrs.2019.2956165

Cited by 74 publications

(36 citation statements)

References 132 publications

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“…In DInSAR analysis it is also expected an interferogram that has shorter geometrical baseline not to have decorrelation. (Xue et al, 2020).…”

Section: Interferometric Analysismentioning

confidence: 99%

“…The extracted values are in the LOS direction. The phase differences of pairs were used to compose Φint interferogram as follows (Xue et al, 2020): As a potential analysis of PAZ satellite on interferometric applications we evaluate coherence products of the image pairs. Coherence is one of the parameters that shows the performance of the interferometric process.…”

Section: Interferometric Analysismentioning

confidence: 99%

“…New generation SAR satellites have the ability to acquire higher spatial resolution images and within shorter revisit periods. Meanwhile, some of them composed constellations to increase the revisit time which developed new applications, rapid response to natural hazards and long term monitoring using time series analysis (Moreira et al, 2013, Xue et al, 2020.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Repeat-Pass Interferometric and Backscatter Analysis of X-Band Paz Satellite – First Results

Abdikan

Bayık

Üstüner

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In this paper we present the initial results of PAZ Synthetic Aperture Radar (SAR) imagery for the first time. In the study, the potential of repeat-pass high resolution PAZ images were investigated. To this aim, both linear backscatter and interferometric results were presented. We used multi-temporal X-band (3.1 cm wavelength) new generation single look complex (SLC) data from Spanish PAZ in single polarization data. PAZ is based on TerraSAR-X/TanDEM-X platform to establish a constellation with them to shorten the revisit time and increase data acquisition capacity. We applied two analysis on PAZ data to assess the performance of the satellite images. For the analysis a semi-arid and almost flat region of Central Anatolia was selected. The images are acquired in both ascending and descending orbits. Each pair has 33 days of temporal baselines. Firstly, backscatter analysis was conducted over the region for different land cover classes. Secondly interferometric analysis was applied to determine phase difference and coherence features. As the region has sand dunes, bareland and uncultivated agricultural fields the coherence analysis showed high values, while cultivated fields showed variations of coherence due to different growth of vegetation. Since the region is prone to sinkhole formation the high-resolution PAZ indicated its advantage as determining a sinkhole that has a circle shape. The displacement of ground surface is determined in line of sight direction.

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“…In DInSAR analysis it is also expected an interferogram that has shorter geometrical baseline not to have decorrelation. (Xue et al, 2020).…”

Section: Interferometric Analysismentioning

confidence: 99%

Section: Interferometric Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Repeat-Pass Interferometric and Backscatter Analysis of X-Band Paz Satellite – First Results

Abdikan

Bayık

Üstüner

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

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“…To overcome the above-mentioned shortcomings of traditional InSAR technology, advanced multi-temporal InSAR (MT-InSAR) technologies [25], which can effectively suppress the atmospheric delay phase and DEM error, have been proposed by domestic and foreign scholars to improve the accuracy and reliability of deformation monitoring. These include persistent scatterer InSAR [26], small baseline subset InSAR [27], interferometric point target analysis [28], and temporarily coherent point InSAR [29].…”

Section: Introductionmentioning

confidence: 99%

Coal Mining Deformation Monitoring Using SBAS-InSAR and Offset Tracking: A Case Study of Yu County, China

Chen

Tong

Tan

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Ground deformation caused by underground coal mining has a large subsidence gradient and high nonlinearity and may cause continuous destruction to the surface structure after mining. Synthetic aperture radar interferometry (InSAR) is a powerful method for measuring and reconstructing ground displacement. In this paper, a total of 19 descending orbit X-band TerraSAR-X and 16 ascending orbit C-band Sentinel-1 images were integrated to monitor the ground displacement of a coal mining area in Yu County (Hebei Province, China) using a small baseline subset (SBAS-InSAR) algorithm. We found that the SBAS-InSAR technology can obtain reliable results in regions without high gradient deformation by combining the deformation rates derived from both the TerraSAR-X and Sentinel-1 datasets. The maximum subsidence rate was approximately 125 mm/y between 17 June 2015 and 07 January 2016. In the case of large gradient deformation, it is indeed difficult to obtain mining-induced surface subsidence information accurately using conventional multi-temporal (MT-InSAR) techniques owing to the limitations of SAR wavelength. In response to this problem, a new decision-making fusion method based on SBAS-InSAR and offset tracking was developed to monitor large gradient settlement in mining areas. The results show that the method developed compensates for the shortcomings of traditional MT-InSAR technologies in the field of large-gradient deformation and obtains reliable results.

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“…Interferometric Synthetic Aperture Radar (InSAR) is a remote sensing technique that provides reliable ground surface measurements over relatively long time periods with millimetre precision (when used to create multitemporal long time series methods) along the sensor's 'line-of-sight' (LOS) ( [8]). InSAR has been actively used since the early nineties (e.g., [9,10]) to monitor geological processes and has been continuously employed to analyse processes like tectonic movements [11] and landslides [12][13][14] or been used to monitor salt mines and ground deformation [15].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Littoral Platform Downwearing Using Differential SAR Interferometry

et al. 2020

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A methodology for the remotely sensed monitoring, measurement and quantification of littoral zone platform downwearing has been developed and is demonstrated, using Persistent Scatterer Interferometric Synthetic Aperture Radar data and analysis. The research area is a 30 km section of coast in East Sussex, UK. This area combines a range of coastal environments and is characterised by the exposure of chalk along the cliffs and coastal platform. Persistent Scatterer Interferometry (PSI) has been employed, using 3.5 years of Sentinel-1 SAR data. The results demonstrate an average ground level change of −0.36 mm a−1 across the research area, caused by platform downwearing. Protected sections of coast are downwearing at an average of −0.33 mm a−1 compared to unprotected sections, which are downwearing more rapidly at an average rate of −1.10 mm a−1. The material properties of the chalk formations in the platform were considered, and in unprotected areas the weakest chalk types eroded at higher rates (−0.66 mm a−1) than the more resistant formations (−0.53 mm a−1). At a local scale, results were achieved in three studies to demonstrate variations between urban and rural environments. Individual persistent scatterer point values provided a near-continuous sequence of measurements, which allowed the effects of processes to be evaluated. The results of this investigation show an effective way of retrospective and ongoing monitoring of platform downwearing, erosion and other littoral zone processes, at regional, local and point-specific scales.

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A Review of Time-Series Interferometric SAR Techniques: A Tutorial for Surface Deformation Analysis

Cited by 74 publications

References 132 publications

Repeat-Pass Interferometric and Backscatter Analysis of X-Band Paz Satellite – First Results

Repeat-Pass Interferometric and Backscatter Analysis of X-Band Paz Satellite – First Results

Coal Mining Deformation Monitoring Using SBAS-InSAR and Offset Tracking: A Case Study of Yu County, China

Monitoring Littoral Platform Downwearing Using Differential SAR Interferometry

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