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Journal articles on the topic 'Persistent Scatterer (PS)'

Author: Grafiati

Published: 10 September 2021

Last updated: 1 February 2022

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1

Čyžienė, Jolanta, Marek Graniczny, Zbigniew Kowalski, Andrzej Piotrowski, Jonas Satkūnas, and Janusz Wasowski. "FINDINGS OF PERSISTENT SCATTERER INTERFEROMETRY (PSI) FOR VILNIUS AREA, LITHUANIA." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 18, no. 4 (2010): 259–70. http://dx.doi.org/10.3846/jeelm.2010.30.

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Ground surface deformations can be related to natural and anthropogenic activities. The availability of ground movement data from regular satellite observations, combined with the knowledge of local geology and geomorphology, can help to improve our understanding of subsidence and soil geotechnical settlement phenomena, as well as to distinguish them from structural deterioration of buildings, which in urban environments represent the most common type of radar targets (PS). In Lithuania ground surface deformations are usually related to landslides, karstic, suffusion processes and anthropogeni

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Luo, Xingjun, Changcheng Wang, and Peng Shen. "Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets." Sensors 20, no. 6 (2020): 1555. http://dx.doi.org/10.3390/s20061555.

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In the traditional single polarimetric persistent scatterers interferometric (PSI) technology, the amplitude dispersion index (ADI) is usually used to select persistent scatterer candidates (PSC). Obviously, based on single polarimetric information, it is difficult to use the statistical characteristics for comprehensively describing the temporal stability of scatterers, which leads to a decrease in persistent scatterer (PS) density. Considering that the temporal polarimetric stationarity of PS, the paper is based on complex Wishart distribution and proposes the polarimetric stationarity omnib

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Zhou, Di, Anita Simic-Milas, Jie Yu, Lin Zhu, Beibei Chen, and Nijiati Muhetaer. "Integrating RELAX with PS-InSAR Technique to Improve Identification of Persistent Scatterers for Land Subsidence Monitoring." Remote Sensing 12, no. 17 (2020): 2730. http://dx.doi.org/10.3390/rs12172730.

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Identifying Persistent Scatterers (PSs) is one of the key processing steps of the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique. The number, density, and reliability of identified PSs directly affect the monitoring accuracy of land subsidence, especially in higher density urban environments. As a result of the side-looking viewing geometry of SAR, the layover effect poses a major challenge to the PS identification. This research proposes joint modeling of the PS-InSAR technique and RELAX algorithm for SAR tomography (PS-InSAR+RELAX) to detect single and dou

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Yang, C. H., and U. Soergel. "CHANGE DETECTION BASED ON PERSISTENT SCATTERER INTERFEROMETRY – CASE STUDY OF MONITORING AN URBAN AREA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 123–30. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-123-2015.

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Persistent Scatterer Interferometry (PSI) is a technique to extract subtle surface deformation from sets of scatterers identified in time-series of SAR images which feature temporally stable and strong radar signal (i.e., Persistent Scatterers, PS). Because of the preferred rectangular and regular structure of man-made objects, PSI works particularly well for monitoring of settlements. Usually, in PSI it is assumed that except for surface motion the scene is steady. In case this is not given, corresponding PS candidates are discarded during PSI processing. On the other hand, pixel-based change

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Zhou, Di, Jie Yu, Lin Zhu, et al. "Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 249–53. http://dx.doi.org/10.5194/piahs-382-249-2020.

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Abstract. Layover occurs as a consequence of the slant range scale distortion in Synthetic Aperture Radar (SAR) data and it is commonly observed in the images acquired over urban areas. There may be two or more Persistent Scatterers (PSs) in one pixel. Moreover, these PSs do not have amplitude stability and spatial coherence. The threshold method used in the Persistent Scatterer Interferometric (PSI) SAR technique cannot identify the PS with two scatterers in urban, the accuracy of urban land subsidence is reduced. To solve this problem, we used Fast Fourier Transform (FFT) convert PSs in freq

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Evers, M., A. Thiele, H. Hammer, E. Cadario, K. Schulz, and S. Hinz. "CONCEPT TO ANALYZE THE DISPLACEMENT TIME SERIES OF INDIVIDUAL PERSISTENT SCATTERERS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 147–54. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-147-2021.

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Abstract. Persistent Scatterer Interferometry (PSInSAR) exploits a time series of Synthetic Aperture Radar (SAR) images to estimate the mean velocity with which the surface of the earth is deforming. However, most PSInSAR algorithms estimate the mean velocities using a linear regression model. Since some deformation phenomena can exhibit a more complex behavior over time, using a linear regression model leads to potentially wrong estimations for the mean velocity. For example, the velocity of a landslide moving down a steep slope can change depending on the water content of the material of the

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Schack, L., U. Soergel, and C. Heipke. "PERSISTENT SCATTERER AIDED FACADE LATTICE EXTRACTION IN SINGLE AIRBORNE OPTICAL OBLIQUE IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 197–205. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-197-2015.

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We present a new method to extract patterns of regular facade structures from single optical oblique images. To overcome the missing three-dimensional information we incorporate structural information derived from Persistent Scatter (PS) point cloud data into our method. Single oblique images and PS point clouds have never been combined before and offer promising insights into the compatibility of remotely sensed data of different kinds. Even though the appearance of facades is significantly different, many characteristics of the prominent patterns can be seen in both types of data and can be

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Krishnakumar, Vrinda, Zhiwei Qiu, Oriol Monserrat, et al. "Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements." Remote Sensing 13, no. 6 (2021): 1120. http://dx.doi.org/10.3390/rs13061120.

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Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and co

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Wang, Ziyun, Timo Balz, Lu Zhang, Daniele Perissin, and Mingsheng Liao. "Using TSX/TDX Pursuit Monostatic SAR Stacks for PS-InSAR Analysis in Urban Areas." Remote Sensing 11, no. 1 (2018): 26. http://dx.doi.org/10.3390/rs11010026.

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Persistent Scatterer Interferometry (PS-InSAR) has become an indispensable tool for monitoring surface motion in urban environments. The interferometric configuration of PS-InSAR tends to mix topographic and deformation components in differential interferometric observations. When the upcoming constellation missions such as, e.g., TanDEM-L or TWIN-L provide new standard operating modes, bi-static stacks for deformation monitoring will be more commonly available in the near future. In this paper, we present an analysis of the applicability of such data sets for urban monitoring, using a stack o

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Yang, C. H., B. K. Kenduiywo, and U. Soergel. "CHANGE DETECTION BASED ON PERSISTENT SCATTERER INTERFEROMETRY – A NEW METHOD OF MONITORING BUILDING CHANGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 243–50. http://dx.doi.org/10.5194/isprsannals-iii-7-243-2016.

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Persistent Scatterer Interferometry (PSI) is a technique to detect a network of extracted persistent scatterer (PS) points which feature temporal phase stability and strong radar signal throughout time-series of SAR images. The small surface deformations on such PS points are estimated. PSI particularly works well in monitoring human settlements because regular substructures of man-made objects give rise to large number of PS points. If such structures and/or substructures substantially alter or even vanish due to big change like construction, their PS points are discarded without additional e

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Yang, C. H., B. K. Kenduiywo, and U. Soergel. "CHANGE DETECTION BASED ON PERSISTENT SCATTERER INTERFEROMETRY – A NEW METHOD OF MONITORING BUILDING CHANGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 243–50. http://dx.doi.org/10.5194/isprs-annals-iii-7-243-2016.

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Persistent Scatterer Interferometry (PSI) is a technique to detect a network of extracted persistent scatterer (PS) points which feature temporal phase stability and strong radar signal throughout time-series of SAR images. The small surface deformations on such PS points are estimated. PSI particularly works well in monitoring human settlements because regular substructures of man-made objects give rise to large number of PS points. If such structures and/or substructures substantially alter or even vanish due to big change like construction, their PS points are discarded without additional e

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Schneider, P. J., and U. Soergel. "SEGMENTATION OF BUILDINGS BASED ON HIGH RESOLUTION PERSISTENT SCATTERER POINT CLOUDS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 65–71. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-65-2021.

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Abstract. Integrating differential synthetic aperture radar measurements into building information modeling systems requires a mapping of these measurement points onto structural parts of the building. We use a reverse geocoding approach to project building footprints into slant-range geometry, which helps to accurately assign PS points to single building identities. By treating the deformation time series as points in a high dimensional feature space, we can use dimensional reduction and clustering techniques to extract clusters of points that show a similar movement behavior. We visualize th

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Liang, D., T. Balz, Z. Y. Wang, L. H. Wei, and M. S. Liao. "Web-based interactive visualization of PS-InSAR point clouds for education and training." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-6 (April 14, 2014): 7–12. http://dx.doi.org/10.5194/isprsannals-ii-6-7-2014.

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In radar remote sensing education and training, only few people have a good knowledge of radar remote sensing and geology, which would be necessary fully analyse the surface motions estimated by persistent scatterer interferometry. Using scientific visualization, data can be presented in an intuitive way for surface motion analysis of non-radar experts. In this paper, we introduce a web-based interactive visualization of PS-InSAR point clouds for education and training.

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Dwivedi, R., A. B. Narayan, A. Tiwari, O. Dikshit, and A. K. Singh. "MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 55–58. http://dx.doi.org/10.5194/isprsarchives-xli-b8-55-2016.

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In the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetated areas, effectiveness of InSAR and D-InSAR observations were always under scrutiny. Multi-temporal InSAR methods are developed in recent times to retrieve the deformation signal from pixels with different scattering characteristics. Presently, two classes of multi-temporal InSAR algorithms are available- Persistent Scatterer (PS) and Small Baseline (SB) methods. This paper discusses the Stanford

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Dwivedi, R., A. B. Narayan, A. Tiwari, O. Dikshit, and A. K. Singh. "MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 55–58. http://dx.doi.org/10.5194/isprs-archives-xli-b8-55-2016.

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In the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetated areas, effectiveness of InSAR and D-InSAR observations were always under scrutiny. Multi-temporal InSAR methods are developed in recent times to retrieve the deformation signal from pixels with different scattering characteristics. Presently, two classes of multi-temporal InSAR algorithms are available- Persistent Scatterer (PS) and Small Baseline (SB) methods. This paper discusses the Stanford

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Balbi, Evandro, Martino Terrone, Francesco Faccini, et al. "Persistent Scatterer Interferometry and Statistical Analysis of Time-Series for Landslide Monitoring: Application to Santo Stefano d’Aveto (Liguria, NW Italy)." Remote Sensing 13, no. 17 (2021): 3348. http://dx.doi.org/10.3390/rs13173348.

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Landslides are a major threat for population and urban areas. Persistent Scatterer Interferometry (PSI) is a powerful tool for identifying landslides and monitoring their evolution over long periods and has proven to be very useful especially in urban areas, where a sufficient number of PS can be generated. In this study, we applied PS interferometry to investigate the landslide affecting Santo Stefano d’Aveto (Liguria, NW Italy) by integrating classic interferometric techniques with cross-correlation analysis of PS time-series and with geological and geotechnical field information. We used op

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17

Xiong, Siting, Chisheng Wang, Xiaoqiong Qin, Bochen Zhang, and Qingquan Li. "Time-Series Analysis on Persistent Scatter-Interferometric Synthetic Aperture Radar (PS-InSAR) Derived Displacements of the Hong Kong–Zhuhai–Macao Bridge (HZMB) from Sentinel-1A Observations." Remote Sensing 13, no. 4 (2021): 546. http://dx.doi.org/10.3390/rs13040546.

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The synthetic aperture radar interferometry (InSAR) technique has been applied in monitoring the deformation of infrastructures, such as bridges, highways, railways and subways. Persistent scatterer (PS)-InSAR is one of the InSAR techniques, which utilises persistent scatterers to derive long-term displacements. This study applied time-series methods to post-process the PS-InSAR-derived time-series displacements with the use of 86 Sentinel-1A acquisitions spanning from 6 January 2018 to 27 November 2020. Empirical mode decomposition (EMD) and seasonal and trend decomposition using loess (STL)

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ISHITSUKA, Kazuya, Toshifumi MATSUOKA, Toru TAKAHASHI, and Takao AIZAWA. "Ground Subsidence in the Northern Kanto Plain by Persistent Scatterer SAR Interferometry." Journal of the Society of Materials Science, Japan 65, no. 5 (2016): 384–90. http://dx.doi.org/10.2472/jsms.65.384.

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Schneider, P. J., R. Khamis, and U. Soergel. "EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 157–63. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-157-2020.

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Abstract. In the past two decades persistent scatterer interferometry (PSI) has become a well understood and powerful method to monitor the deformations of man-made structures. PSI can derive displacement histories of thousands of scattered points on a single building with accuracy of a few millimetre per year, by analysing space-borne SAR data. In this paper, we present a method to cluster PS points on a single building into segments which show the same deformation behavior. The spatial distribution of those clusters gives an insight into the structural behavior of a building. We use dimensio

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Thapa, S., R. S. Chatterjee, K. B. Singh, and D. Kumar. "LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (October 14, 2016): 995–97. http://dx.doi.org/10.5194/isprs-archives-xli-b7-995-2016.

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Differential SAR-Interferometry (D-InSAR) is one of the potential source to measure land surface motion induced due to underground coal mining. However, this technique has many limitation such as atmospheric in homogeneities, spatial de-correlation, and temporal decorrelation. Persistent Scatterer Interferometry synthetic aperture radar (PS-InSAR) belongs to a family of time series InSAR technique, which utilizes the properties of some of the stable natural and anthropogenic targets which remain coherent over long time period. In this study PS-InSAR technique has been used to monitor land subs

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Ranjgar, Babak, Seyed Vahid Razavi-Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki, and Daniele Perissin. "Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms." Remote Sensing 13, no. 7 (2021): 1326. http://dx.doi.org/10.3390/rs13071326.

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In this paper, land subsidence susceptibility was assessed for Shahryar County in Iran using the adaptive neuro-fuzzy inference system (ANFIS) machine learning algorithm. Another aim of the present paper was to assess if ensembles of ANFIS with two meta-heuristic algorithms (imperialist competitive algorithm (ICA) and gray wolf optimization (GWO)) would yield a better prediction performance. A remote sensing synthetic aperture radar (SAR) dataset from 2019 to 2020 and the persistent-scatterer SAR interferometry (PS-InSAR) technique were used to obtain a land subsidence inventory of the study a

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Ab Latip, Amir Sharifuddin, Abd Nasir Matori, and Anuphao Aobpaet. "A Case Study on Offshore Platform Deformation Monitoring by using InSAR." MATEC Web of Conferences 203 (2018): 04002. http://dx.doi.org/10.1051/matecconf/201820304002.

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The Interferometric Synthetic Aperture Radar (InSAR) technique is well established technique for onshore applications such as landslide, mining, volcano, urban and dam deformation monitoring. However, the ability of the InSAR technique for the offshore application particularly on the oil platform deformation monitoring is still a pending question. Therefore, a study needs to be conducted in order to assess the feasibility of the InSAR technique for monitoring the deformation of offshore platform. In this study, an advanced InSAR technique called Stanford Method of Persistent Scatterer (StaMPS)

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Lu, Y., J. Zhang, X. Tong, et al. "SELECTION OF PERSISTENT SCATTERER INTERFEROMETRIC SYNTHETIC APERTURE RADAR MASTER IMAGE CONSIDERING TEMPORAL BASELINE, SPATIAL BASELINE AND DOPPLER CENTROID FREQUENCY DIFFERENCE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 141–48. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-141-2020.

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Abstract. This paper proposed a new algorithm master Image Temporal Spatial baseline, Doppler centroid frequency difference (MITSD) to select the PS-InSAR common master image (CMI), by using the sum of temporal baselines, spatial baselines, and Doppler centroid frequency differences as a reference. The existing persistent scatterer interferometric synthetic aperture radar (PS-InSAR) common master images election method is affected by three baseline factors: temporal baseline, spatial baseline, and Doppler centroid frequency differences, then one single baseline factor in the three baselines be

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Tiwari, A., R. Dwivedi, A. B. Narayan, O. Dikshit, and A. K. Singh. "Efficacy of StaMPS technique for monitoring surface deformation in L'Aquila, Italy." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 27, 2014): 141–45. http://dx.doi.org/10.5194/isprsarchives-xl-8-141-2014.

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This research work investigates the efficacy of the Stanford Method for Persistent Scatterer Interferometry (StaMPS) in measuring the surface deformation over the L'Aquila region, Italy just before an event of earthquake of magnitude M<sub>w</sub> 6.3 by using seven descending Envisat C-Band ASAR images. The results show that the StaMPS technique successfully extracted sufficient number of Persistent Scatterers (PS) to derive a one dimensional (1D) time series displacement map which shows the deformation rates up to 59 mm/year in the satellite Line of Sight (LOS) direction and 50.8

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Tarighat, Fereshteh, Fatemeh Foroughnia, and Daniele Perissin. "Monitoring of Power Towers’ Movement Using Persistent Scatterer SAR Interferometry in South West of Tehran." Remote Sensing 13, no. 3 (2021): 407. http://dx.doi.org/10.3390/rs13030407.

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The Tehran basin has been increasingly affected by subsidence during the last few decades due to groundwater withdrawal. Hence, the study of the strength of the power towers (PTs) of transmission lines, as vital structures, is an important subject. In this paper, the persistent scatterer interferometry (PSI) method was applied on data stacks from two satellites (i.e., X-band COSMO-SkyMed (CSK) and C-band Sentinel-1A (S-1A)) obtained between 2014 and 2016 to investigate the deformation and the exact amount of displacement in each PT of the area of interest. Based on the results, during the same

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Yang, C. H., and U. Soergel. "EVALUATION OF A PSI-BASED CHANGE DETECTION REGARDING SIMULATION, COMPARISON, AND APPLICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1959–65. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1959-2019.

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<p><strong>Abstract.</strong> Persistent scatterer interferometry (PSI) detects and analyses strong, stable, and coherent radar signals throughout a time series of SAR images. Such coherent signals are reflected from corner-reflector-like substructures in built-up cities, which are regarded as so-called PS points. Certain PS properties such as deformation velocity and topography height can be derived for scene monitoring. Previously, we introduced a PSI-based change detection to detect disappearing and emerging PS points along with their occurrence times. Such temporary PS po

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Razi, Pakhrur, Josaphat Tetuko Sri Sumantyo, Daniele Perissin, and Hiroaki Kuze. "Long-Term Land Deformation Monitoring Using Quasi-Persistent Scatterer (Q-PS) Technique Observed by Sentinel-1A: Case Study Kelok Sembilan." Advances in Remote Sensing 07, no. 04 (2018): 277–89. http://dx.doi.org/10.4236/ars.2018.74019.

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Mi, S. J., Y. T. Li, F. Wang, et al. "A RESEARCH ON MONITORING SURFACE DEFORMATION AND RELATIONSHIPS WITH SURFACE PARAMETERS IN QINGHAI TIBETAN PLATEAU PERMAFROST." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 629–33. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-629-2017.

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The Qinghai Tibetan Plateau permafrost has been the largest permafrost region in middle-low latitude in the world for its high altitude. For the large area permafrost, especially surface deformation brought by it, have serious influence on the road engineering, road maintaining and regional economic development. Consequently, it is essential to monitor the surface deformation and study factors that influent it. We monitored an area named Wudaoliang from July 25, 2015 to June 1, 2016 and 15 Sentinel images were obtained during this time. The area we chose is about 35 kilometers long and 2 kilom

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Fiorentini, Nicholas, Mehdi Maboudi, Pietro Leandri, Massimo Losa, and Markus Gerke. "Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms." Remote Sensing 12, no. 23 (2020): 3976. http://dx.doi.org/10.3390/rs12233976.

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This paper introduces a methodology for predicting and mapping surface motion beneath road pavement structures caused by environmental factors. Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) measurements, geospatial analyses, and Machine Learning Algorithms (MLAs) are employed for achieving the purpose. Two single learners, i.e., Regression Tree (RT) and Support Vector Machine (SVM), and two ensemble learners, i.e., Boosted Regression Trees (BRT) and Random Forest (RF) are utilized for estimating the surface motion ratio in terms of mm/year over the Province of Pistoi

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Shi, Guoqiang, Peifeng Ma, Hui Lin, Bo Huang, Bowen Zhang, and Yuzhou Liu. "Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios." Remote Sensing 12, no. 4 (2020): 686. http://dx.doi.org/10.3390/rs12040686.

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The improved spatial resolution of Synthetic Aperture Radar (SAR) images from newly launched sensors has promoted a more frequent use of distributed scatterer (DS) interferometry (DSI) in urban monitoring, pursuing sufficient and detailed measurements. However, the commonly used statistical methods for homogeneous pixel clustering by exploring amplitude information are firstly, computationally intensive; furthermore, their necessity when applied to high-coherent built scenarios is little discussed in the literature. This paper explores the potential of using phase information for the detection

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Yarmohammad Touski, M., M. Veiskarami, and M. Dehghani. "INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 19, 2019): 1079–83. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-1079-2019.

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Abstract. By the advent of Persistent Scatterer Interferometry (PSI) time-series analysis, this technique has demonstrated high performance in producing accurate measurements of ground displacements. However, due to several limitations such as high deformation rate, lack of man-made features and rough topographic characteristic, the efficiency of the PSI significantly decreases. The main goal of this paper is to illustrate the potential of one of the PSI methods namely the Interferometric Point Target Analysis (IPTA) to measure the deformation caused by landslide. The landslide occurs in an ar

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Fryksten, Jonas, and Faramarz Nilfouroushan. "Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling." Remote Sensing 11, no. 23 (2019): 2764. http://dx.doi.org/10.3390/rs11232764.

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Land subsidence and its subsequent hazardous effects on buildings and urban infrastructure are important issues in many cities around the world. The city of Uppsala in Sweden is undergoing significant subsidence in areas that are located on clay. Underlying clay units in parts of Uppsala act as mechanically weak layers, which for instance, cause sinking of the ground surface and tilting buildings. Interferometric Synthetic Aperture Radar (InSAR) has given rise to new methods of measuring movements on earth surface with a precision of a few mm. In this study, a Persistent Scatterer Interferomet

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Yang, Dochul, and Sean M. Buckley. "Estimating High-Resolution Atmospheric Phase Screens From Radar Interferometry Data." IEEE Transactions on Geoscience and Remote Sensing 49, no. 6 (2011): 3117–28. http://dx.doi.org/10.1109/tgrs.2011.2122338.

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Radar interferometry (InSAR) deformation measurements are afflicted by artifacts associated with the atmosphere and errors in removing the topographic phase contribution. We present a new time series algorithm that eliminates high-spatial-frequency atmospheric effects (bubbles) not removed with existing advanced InSAR approaches applied to measurements of smoothly varying deformation through time. Our High-Resolution Atmospheric Phase Screen (APS) (HiRAPS) algorithm initially uses a connected set of short-period interferograms, each spanning no more than three satellite-orbit repeat cycles. We

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Beladam, Omar, Timo Balz, Bahaa Mohamadi, and Mahdjoub Abdalhak. "Using PS-InSAR with Sentinel-1 Images for Deformation Monitoring in Northeast Algeria." Geosciences 9, no. 7 (2019): 315. http://dx.doi.org/10.3390/geosciences9070315.

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Constantine city, Algeria, and its surroundings have always been affected by natural and human-induced slope instability and subsidence. Neogene clay-conglomeratic formations, which form the largest part of Constantine city, are extremely sensitive to the presence of water, which makes them susceptible to landslides. Fast and accurate identification and monitoring of the main areas facing existing or potential hazardous risks at a regional scale, as well as measuring the amount of displacement is essential for the conservation and sustainable development of Constantine. In the last three decad

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Békési, Eszter, Peter A. Fokker, Joana E. Martins, Jon Limberger, Damien Bonté, and Jan-Diederik van Wees. "Production-Induced Subsidence at the Los Humeros Geothermal Field Inferred from PS-InSAR." Geofluids 2019 (June 17, 2019): 1–12. http://dx.doi.org/10.1155/2019/2306092.

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Surface deformation due to fluid extraction can be detected by satellite-based geodetic sensors, providing important insights on subsurface geomechanical properties. In this study, we use Differential Interferometric Synthetic Aperture Radar (DInSAR) observations to measure ground deformation due to fluid extraction at the Los Humeros Geothermal Field (Puebla, Mexico). Our main goal is to reveal the pressure distribution in the reservoir and to identify reservoir compartmentalization, which can be important aspects for optimizing the production of the field. The result of the PS-InSAR (Persist

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Ittycheria, N., D. S. Vaka, and Y. S. Rao. "TIME SERIES ANALYSIS OF SURFACE DEFORMATION OF BENGALURU CITY USING SENTINEL-1 IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 27, 2018): 473–77. http://dx.doi.org/10.5194/isprs-annals-iv-5-473-2018.

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<p><strong>Abstract.</strong> Persistent Scatterer Interferometry (PSI) is an advanced technique to map ground surface displacements of an area over a period. The technique can measure deformation with a millimeter-level accuracy. It overcomes the limitations of Differential Synthetic Aperture Radar Interferometry (DInSAR) such as geometric, temporal decorrelation and atmospheric variations between master and slave images. In our study, Sentinel-1A Interferometric Wide Swath (IW) mode descending pass images from May 2016 to December 2017 (23 images) are used to identify the s

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Yang, C. H., Y. Pang, and U. Soergel. "Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (May 30, 2017): 35–42. http://dx.doi.org/10.5194/isprs-annals-iv-1-w1-35-2017.

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Monitoring urban changes is important for city management, urban planning, updating of cadastral map, etc. In contrast to conventional field surveys, which are usually expensive and slow, remote sensing techniques are fast and cost-effective alternatives. Spaceborne synthetic aperture radar (SAR) sensors provide radar images captured rapidly over vast areas at fine spatiotemporal resolution. In addition, the active microwave sensors are capable of day-and-night vision and independent of weather conditions. These advantages make multi-temporal SAR images suitable for scene monitoring. Persisten

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Esmaeili, M., and M. Motagh. "PSINSAR IMPROVEMENT USING AMPLITUDE DISPERSION INDEX OPTIMIZATION OF DUAL POLARIMETRY DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 10, 2015): 175–77. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-175-2015.

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Persistent Scatterer Interferometry for SAR data (PSInSAR) improves the ability of conventional InSAR time-series methods by detecting and analysing pixels where the portion of spatiotemporal decorrelations on the phase is negligible. Using dual/quad polarized SAR data provide us with an additional source of information to improve further the capability of InSAR analysis. In this paper, we present a method to enhance PSInSAR using polarimetric optimization method on multi-temporal polarimetric SAR data. The optimization process has been implemented to minimize the Amplitude dispersion Index (A

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Riedel, A., B. Riedel, D. Tengen, and M. Gerke. "INVESTIGATIONS ON VERTICAL LAND MOVEMENTS ALONG THE NORTH SEA AND BALTIC SEA COAST IN GERMANY WITH PS INTERFEROMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1945–49. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1945-2019.

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<p><strong>Abstract.</strong> The project ‘Determinations on the absolute sea-level rise on the German North Sea and Baltic Sea coasts’, funded by the Federal Ministry of Education and Research (BMBF) , has the overall goal to estimate the absolute sea level change in those coastal areas. A major issue associated with detecting absolute sea level changes is the relative character of tidal records. To calibrate the tidal records, a spatial vertical land movement model for northern Germany has been set up. To this end we combined a network from German Height Reference Systems (

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Du, Sen, Jordi J. Mallorqui, Hongdong Fan, and Meinan Zheng. "Improving PSI Processing of Mining Induced Large Deformations with External Models." Remote Sensing 12, no. 19 (2020): 3145. http://dx.doi.org/10.3390/rs12193145.

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Ground subsidences, either caused by natural phenomena or human activities, can threaten the safety of nearby infrastructures and residents. Among the different causes, mining operations can trigger strong subsidence phenomena with a fast nonlinear temporal behaviour. Therefore, a reliable and precise deformation monitoring is of great significance for safe mining and protection of facilities located above or near the mined-out area. Persistent Scatterer Interferometry (PSI) is a technique that uses stacks Synthetic Aperture Radar (SAR) images to remotely monitor the ground deformation of larg

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Fiorentini, Nicholas, Mehdi Maboudi, Pietro Leandri, and Massimo Losa. "Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?" Sensors 21, no. 10 (2021): 3377. http://dx.doi.org/10.3390/s21103377.

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This paper proposes a methodology for correlating products derived by Synthetic Aperture Radar (SAR) measurements and laser profilometric road roughness surveys. The procedure stems from two previous studies, in which several Machine Learning Algorithms (MLAs) have been calibrated for predicting the average vertical displacement (in terms of mm/year) of road pavements as a result of exogenous phenomena occurrence, such as subsidence. Such algorithms are based on surveys performed with Persistent Scatterer Interferometric SAR (PS-InSAR) over an area of 964 km2 in the Tuscany Region, Central Ita

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Babu, Arun, and Shashi Kumar. "PSInSAR Processing for Volcanic Ground Deformation Monitoring Over Fogo Island." Proceedings 24, no. 1 (2019): 3. http://dx.doi.org/10.3390/iecg2019-06217.

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Persistent Scatterer Interferometry Synthetic Aperture Radar (PSInSAR) has been widely used in the precise measurement of ground deformation due to anthropogenic and natural disturbance of the earth’s surface. The present study has utilized the spaceborne C-band Sentinel-1 data for PSInSAR processing to generate a displacement map due to the volcanic eruption of Pico do Fogo volcano of the Fogo Island. An eruption was recorded in the year 2014–2015 and the Fogo volcano became active on 23 November 2014. It was observed that the intensity of the volcanic eruption during 2014–2015 had approached

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Mariniere, J., J.-M. Nocquet, C. Beauval, et al. "Geodetic evidence for shallow creep along the Quito fault, Ecuador." Geophysical Journal International 220, no. 3 (2019): 2039–55. http://dx.doi.org/10.1093/gji/ggz564.

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SUMMARY Quito, the capital city of Ecuador hosting ∼2 million inhabitants, lies on the hanging wall of a ∼60-km-long reverse fault offsetting the Inter-Andean Valley in the northern Andes. Such an active fault poses a significant risk, enhanced by the high density of population and overall poor building construction quality. Here, we constrain the present-day strain accumulation associated with the Quito fault with new Global Positioning System (GPS) data and Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) analysis. Far field GPS data indicate 3–5 mm yr–1 of horizontal

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H. Pandit, Prashant, Shridhar D. Jawak, and Alvarinho J. Luis. "Estimation of Velocity of the Polar Record Glacier, Antarctica Using Synthetic Aperture Radar (SAR)." Proceedings 2, no. 7 (2018): 332. http://dx.doi.org/10.3390/ecrs-2-05145.

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The ice flow velocity is a critical variable in understanding the glacier dynamics. The Synthetic Aperture Radar Interferometry (InSAR) is a robust technique to monitor Earth’s surface mainly to measure its topography and deformation. The phase information from two or more interferogram further helps to extract information about the height and displacement of the surface. We used this technique to derive glacier velocity for Polar Record Glacier (PRG), East Antarctica, using Sentinel-1 Single Look Complex images that were captured in Interferometric Wide mode. For velocity estimation, Persiste

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Bayramov, Emil, Manfred Buchroithner, and Martin Kada. "Radar Remote Sensing to Supplement Pipeline Surveillance Programs through Measurements of Surface Deformations and Identification of Geohazard Risks." Remote Sensing 12, no. 23 (2020): 3934. http://dx.doi.org/10.3390/rs12233934.

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This research focused on the quantitative assessment of the surface deformation velocities and rates and their natural and man-made controlling factors as the potential risks along the seismically active 70 km section of buried oil and gas pipeline in Azerbaijan using Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) and Small Baseline Subset (SBAS) remote sensing analysis. Both techniques showed that the continuous subsidence was prevailing in the kilometer range of 13–70 of pipelines crossing two seismic faults. The ground uplift deformations were observed in the pipel

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Deffontaines, Benoit, Kuo-Jen Chang, Johann Champenois, et al. "Active tectonics of the onshore Hengchun Fault using UAS DSM combined with ALOS PS-InSAR time series (Southern Taiwan)." Natural Hazards and Earth System Sciences 18, no. 3 (2018): 829–45. http://dx.doi.org/10.5194/nhess-18-829-2018.

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Abstract. Characterizing active faults and quantifying their activity are major concerns in Taiwan, especially following the major Chichi earthquake on 21 September 1999. Among the targets that still remain poorly understood in terms of active tectonics are the Hengchun and Kenting faults (Southern Taiwan). From a geodynamic point of view, the faults affect the outcropping top of the Manila accretionary prism of the Manila subduction zone that runs from Luzon (northern Philippines) to Taiwan. In order to better locate and quantify the location and quantify the activity of the Hengchun Fault, w

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Li, Dong, Xiyong Hou, Yang Song, Yuxin Zhang, and Chao Wang. "Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods." Applied Sciences 10, no. 16 (2020): 5514. http://dx.doi.org/10.3390/app10165514.

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Multi-temporal InSAR (MT-InSAR) methods have been widely used in remote sensing monitoring of ground subsidence, which occurs at many places around the world. Land subsidence, caused by excessive extraction of groundwater, has always been a problem to be solved in Tianjin, China. Although the subsidence in the urban area has been controlled at a low rate, the subsidence issue has not been effectively solved in the suburban area recently, which should be paid much attention. This paper aims to present two multi-temporal differential interferometry techniques, persistent scatterer (PS) and small

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Fiorentini, N., M. Maboudi, M. Losa, and M. Gerke. "ASSESSING RESILIENCE OF INFRASTRUCTURES TOWARDS EXOGENOUS EVENTS BY USING PS-INSAR-BASED SURFACE MOTION ESTIMATES AND MACHINE LEARNING REGRESSION TECHNIQUES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 19–26. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-19-2020.

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Abstract. Technologically advanced strategies in infrastructural maintenance are increasingly required in countries such as Italy, where recovery and rehabilitation interventions are preferred to new works. For this purpose, Interferometric Synthetic Aperture Radar (InSAR) techniques have been employed in recent years, achieving reliable outcomes in the identification of infrastructural instabilities. Nevertheless, using the InSAR survey exclusively, it is not feasible to recognize the reasons for such vulnerabilities, and further in-depth investigations are essential.The primary purpose of th

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Alatza, Stavroula, Ioannis Papoutsis, Demitris Paradissis, Charalampos Kontoes, and Gerassimos A. Papadopoulos. "Multi-Temporal InSAR Analysis for Monitoring Ground Deformation in Amorgos Island, Greece." Sensors 20, no. 2 (2020): 338. http://dx.doi.org/10.3390/s20020338.

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Radar Interferometry is a widely used method for estimating ground deformation, as it provides precision to a few millimeters to centimeters, and at the same time, a wide spatial coverage of the study area. On 9 July 1956, one of the strongest earthquakes of the 20th century in the area of the South Aegean, occurred in Amorgos, with a magnitude of Mw = 7.7. The objective of this research is to map ground deformation in Amorgos island, using InSAR techniques. We conducted a multi-temporal analysis of all available data from 2003 to 2019 by exploiting historical ENVISAT SAR imagery, as well as t

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Zhu, Mao, Xiaoli Wan, Bigang Fei, et al. "Detection of Building and Infrastructure Instabilities by Automatic Spatiotemporal Analysis of Satellite SAR Interferometry Measurements." Remote Sensing 10, no. 11 (2018): 1816. http://dx.doi.org/10.3390/rs10111816.

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Satellite synthetic aperture radar (SAR) interferometry (InSAR) is a powerful technology to monitor slow ground surface movements. However, the extraction and interpretation of information from big sets of InSAR measurements is a complex and demanding task. In this paper, a new method is presented for automatically detecting potential instability risks affecting buildings and infrastructures, by searching for anomalies in the persistent scatterer (PS) deformations, either in the spatial or in the temporal dimensions. In the spatial dimension, in order to reduce the dataset size and improve dat

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