LOS Displacements of Mauna Loa volcano, Hawaii Island, as determined using SBAS-InSAR

This paper presents an overview of the surface displacements retrieval capability of the Differential Synthetic Aperture Radar Interferometry algorithm, using Small Baseline Subset (SBAS) technique, in the context of active volcanic areas. Based on Sentinel-1A images, time series displacements fields of the Mauna Loa volcano area over a 2-year time interval (between 2015 and 2017) were received using batch processing. Based on 35 radar images, a total of 179 interferograms have been calculated. Methodology of Synthetic Aperture Radar (SAR) Sentinel-1 ESA satellite mission data processing with small base (SBAS) interferometric techniques from has been presented. The displacements calculated in the satellite’s Line of Sight (LOS) have been presented graphically on maps and graphs. Application of radar interferometry methods in the case of volcanic surface activity research creates new possibilities in the area of permanent monitoring of this type of areas.

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Fusion of SAR Interferometry and Polarimetry Methods for Landslide Reactivation Study, the Bureya River (Russia) Event Case Study

Remote Sensing ◽

10.3390/rs13245136 ◽

2021 ◽

Vol 13 (24) ◽

pp. 5136

Author(s):

Valery Bondur ◽

Tumen Chimitdorzhiev ◽

Aleksey Dmitriev ◽

Pavel Dagurov

Keyword(s):

Synthetic Aperture Radar ◽

Radar Data ◽

Sar Interferometry ◽

Synthetic Aperture ◽

Line Of Sight ◽

Scattering Mechanisms ◽

Radar Images ◽

Landslide Reactivation ◽

Sbas Insar ◽

Aperture Radar

In this paper, we demonstrate the estimation capabilities of landslide reactivation based on various SAR (Synthetic Aperture Radar) methods: Cloude-Pottier decomposition of Sentinel-1 dual polarimetry data, MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) techniques, and cloud computing of backscattering time series. The object of the study is the landslide in the east of Russia that took place on 11 December 2018 on the Bureya River. H-α-A polarimetric decomposition of C-band radar images not detected significant transformations of scattering mechanisms for the surface of the rupture, whereas L-band radar data show changes in scattering mechanisms before and after the main landslide. The assessment of ground displacements along the surface of the rupture in the 2019–2021 snowless periods was carried out using MT-InSAR methods. These displacements were 40 mm/year along the line of sight. The SBAS-InSAR results have allowed us to reveal displacements of great area in 2020 and 2021 snowless periods that were 30–40 mm/year along the line-of-sight. In general, the results obtained by MT-InSAR methods showed, on the one hand, the continuation of displacements along the surface of the rupture and on the other hand, some stabilization of the rate of landslide processes.

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On the integration of multi-temporal synthetic aperture radar interferometry products and historical surveys data for buildings structural monitoring

Journal of Civil Structural Health Monitoring ◽

10.1007/s13349-021-00518-4 ◽

2021 ◽

Author(s):

Fabio Di Carlo ◽

Andrea Miano ◽

Ilaria Giannetti ◽

Annalisa Mele ◽

Manuela Bonano ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Radar Interferometry ◽

Synthetic Aperture ◽

Structural Monitoring ◽

Time Interval ◽

Synthetic Aperture Radar Interferometry ◽

Deformation Velocity ◽

Multi Temporal ◽

The Impact ◽

Aperture Radar

AbstractThe management and the safeguard of existing buildings and infrastructures are actual tasks for structural engineering. Non-invasive structural monitoring techniques can provide useful information for supporting the management process and the safety evaluation, reducing at once the impact of disturbances on the structure’s functionality. This paper focuses on the exploitation of advanced multi-temporal differential synthetic aperture radar interferometry (DInSAR) products for the structural monitoring of buildings and infrastructures, subjected to different external actions. In this framework, a methodological approach is proposed, based on the integration of DInSAR measurements with historical sources, accurate 3D modelling and consistent positioning of the reflecting targets in the GIS environment. Documentary sources can prove particularly helpful in collecting technical information, to reconstruct an accurate 3D geometry of the building under monitoring, limiting in-situ surveys. The analysis of DInSAR-based displacements time series and mean deformation velocity values allows the identification of possible critical situations for buildings to be monitored. The paper presents different approaches, with increasing accuracy levels, to study the active deformative processes of the examined buildings and the related damage assessment. An insight into these interpretative approaches is given through the application of the proposed procedure to two case studies in the city of Rome (Italy), the residential building named Torri Stellari in Valco San Paolo (1951–1953) and the housing complex referred to as Corviale (1967–1983), by exploiting the whole COSMO-SkyMed data archive (both ascending and descending acquisitions), collected during the 2011–2019 time interval. Pros and cons of the various approaches are deeply discussed, together with an estimation of the required computational effort.

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Application of Sentinel-1 and-2 Images in Measuring the Deformation of Kuh-e-Namak (Dashti) Namakier, Iran

Remote Sensing ◽

10.3390/rs13040785 ◽

2021 ◽

Vol 13 (4) ◽

pp. 785

Author(s):

Sen Zhang ◽

Qigang Jiang ◽

Chao Shi ◽

Xitong Xu ◽

Yundi Gong ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Rock Salt ◽

Rainy Season ◽

Surface Deformation ◽

Meteorological Data ◽

Dry Season ◽

Synthetic Aperture ◽

Advantages And Disadvantages ◽

Sbas Insar ◽

Aperture Radar

Kuh-e-Namak (Dashti) namakier is one of the most active salt diapirs along the Zagros fold–thrust belt in Iran. Its surface deformation should be measured to estimate its long-term kinematics. Ten Sentinel-2 optical images acquired between October 2016 and December 2019 were processed by using Co-Registration of Optically Sensed Images and Correlation (COSI-Corr) method. Forty-seven Sentinel-1 ascending Synthetic Aperture Radar (SAR) images acquired between April 2017 and December 2019 were processed by using Small Baseline Subset Synthetic Aperture Radar Interferometry (SBAS-InSAR) method. The deformation of Kuh-e-Namak (Dashti) namakier was measured using both methods. Then, meteorological data were utilized to explore the relationship between the kinematics of the namakier and weather conditions and differences in macrodeformation behavior of various rock salt types. The advantages and disadvantages of COSI-Corr and SBAS-InSAR methods in measuring the deformation of the namakier were compared. The results show that: (1) The flank subsides in the dry season and uplifts in the rainy season, whereas the dome subsides in the rainy season and uplifts in the dry season. Under extreme rainfall conditions, the namakier experiences permanent plastic deformation. (2) The “dirty” rock salt of the namakier is more prone to flow than the “clean” rock salt in terms of macrodeformation behavior. (3) In the exploration of the kinematics of the namakier via the two methods, COSI-Corr is superior to SBAS-InSAR on a spatial scale, but the latter is superior to the former on a time scale.

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A New Target Classification Method for Synthetic Aperture Radar Images based on Wavelet Scattering Transform

2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) ◽

10.1109/icspcc50002.2020.9259471 ◽

2020 ◽

Author(s):

Hongliang Zhu ◽

Tat Wong ◽

Nan Lin ◽

Howong Lung ◽

Zhayuan Li ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Classification Method ◽

Synthetic Aperture ◽

Target Classification ◽

Radar Images ◽

Scattering Transform ◽

Aperture Radar

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Deformation information extraction method based on differential synthetic aperture radar interferometry

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189016 ◽

2020 ◽

Vol 39 (4) ◽

pp. 5311-5318

Author(s):

Zhengquan Hu ◽

Yu Liu ◽

Xiaowei Niu ◽

Guoping Lei

Keyword(s):

Remote Sensing ◽

Synthetic Aperture Radar ◽

Adaptive Filtering ◽

Extraction Method ◽

Deformation Monitoring ◽

Radar Interferometry ◽

Synthetic Aperture ◽

Filtering Method ◽

Synthetic Aperture Radar Interferometry ◽

Aperture Radar

As aerospace technology, computer technology, network communication technology and information technology become more and more perfect, a variety of sensors for measurement and remote sensing are constantly emerging, and the ability to acquire remote sensing data is also continuously enhanced. Synthetic Aperture Radar Interferometry (InSAR) technology greatly expands the function and application field of imaging radar. Differential InSAR (DInSAR) developed based on InSAR technology has the advantages of high precision and all-weather compared with traditional measurement methods. However, DInSAR-based deformation monitoring is susceptible to spatiotemporal coherence, orbital errors, atmospheric delays, and elevation errors. Since phase noise is the main error of InSAR, to determine the appropriate filtering parameters, an iterative adaptive filtering method for interferogram is proposed. For the limitation of conventional DInSAR, to improve the accuracy of deformation monitoring as much as possible, this paper proposes a deformation modeling based on ridge estimation and regularization as a constraint condition, and introduces a variance component estimation to optimize the deformation results. The simulation experiment of the iterative adaptive filtering method and the deformation modeling proposed in this paper shows that the deformation information extraction method based on differential synthetic aperture radar has high precision and feasibility.

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