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  1. Article: New insights into the 2020 Sardoba dam failure in Uzbekistan from Earth observation

    Xiao, Ruya / Jiang, Mi / Li, Zhenhong / He, Xiufeng

    International journal of applied earth observation and geoinformation. 2022 Mar., v. 107

    2022  

    Abstract: On 1 May 2020, the Sardoba Reservoir in Uzbekistan breached its western wall, and the uncontrolled release of water caused casualties, environmental damages and economic losses. We investigate the dam failure based on three sets of Earth observation data, ...

    Abstract On 1 May 2020, the Sardoba Reservoir in Uzbekistan breached its western wall, and the uncontrolled release of water caused casualties, environmental damages and economic losses. We investigate the dam failure based on three sets of Earth observation data, including: (i) satellite altimetry products, i.e., ICESat-2 data, with the aim of understanding the topographic features in the study area; (ii) multi-geometry Sentinel-1 SAR data to retrieve the pre-failure deformation along the vertical and horizontaleast-west directions between 2017 and 2020; (iii) optical images from Sentinel-2 satellites and Global Precipitation Measurement (GPM) products, which are involved in exploring the environmental status before the failure. We analyse the possible causes of the collapse in terms of both physical and human factors. The differential settlement of ∼60 mm revealed by InSAR at the failure section is a sign of internal erosion through the embankment, which is the physical factor contributing to the failure. The opportunity to prevent the collapse were missed due to the human factor of ignorance brought by limitations of the conventional monitoring methods. Neither ground observations nor satellite-based GPM products show extreme precipitation in the region, ruling out the likelihood of rainfall-induced overtopping. The settlement rate of the embankment shows no decaying trend, indicating that the dam is undergoing the primary consolidation phase of total settlement. Maximum settlement of ∼270 mm (∼0.8% of the dam height) has happened on the north bank since the reservoir impoundment, which should raise concern in future monitoring and surveillance. The results reveal that InSAR can discern the failure precursor by detecting surface motion, and that the deformation signals can help to warn of risks and avoid dam damage. We recommend InSAR deformation monitoring be included in future safety programs, providing detailed deformation and resisting risks of ignorance.
    Keywords deformation ; humans ; monitoring ; satellite altimetry ; satellites ; spatial data ; topography ; Uzbekistan
    Language English
    Dates of publication 2022-03
    Publishing place Elsevier B.V.
    Document type Article
    ISSN 1569-8432
    DOI 10.1016/j.jag.2022.102705
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Statistical assessment metrics for InSAR atmospheric correction: Applications to generic atmospheric correction online service for InSAR (GACOS) in Eastern China

    Xiao, Ruya / Yu, Chen / Li, Zhenhong / He, Xiufeng

    International journal of applied earth observation and geoinformation. 2021 Apr., v. 96

    2021  

    Abstract: The atmospheric effect represents one of the major error sources in Interferometric Synthetic Aperture Radar (InSAR), and its mitigation is found crucial for high-precision InSAR applications. Numerous studies on InSAR atmospheric correction methods and ... ...

    Abstract The atmospheric effect represents one of the major error sources in Interferometric Synthetic Aperture Radar (InSAR), and its mitigation is found crucial for high-precision InSAR applications. Numerous studies on InSAR atmospheric correction methods and applications covering a wide range of regions worldwide have been reported with varying degrees of success. However, more efforts on the performance assessment are needed, and the conclusions may lack statistical significance due to the limited interferograms involved in most of these analyses. To optimally utilise different InSAR atmospheric correction methods and avoid potential uncertainty caused, appropriate statistical metrics to assess the correction performance must be set up. In this work, we provide a general guideline for statistical assessment of InSAR atmospheric correction. Based on the physical properties of the atmosphere, three metrics are applied: (i) the phase standard deviation which assesses the overall performance of the correction; (ii) the spatial structure function which evaluates the reduction of the long-wavelength atmospheric effect; and (iii) the phase-elevation correlation coefficient which measures the reduction of the stratified component of the atmospheric delay. The performance of the Generic Atmospheric Correction Online Service for InSAR (GACOS) products for two typical terrains in Eastern China is evaluated. Statistical results of the 1250 Sentinel-1 interferograms covering the Yellow River Delta and Shandong hilly region show that (i) GACOS reduces the interferometric phase standard deviation in 84.6% of the interferograms by an average of 36.4%; (ii) the phase decorrelation distance decreases from 321 km to 225 km on average after correction; and (iii) the mean phase-elevation correlation declines by 33.3% for the areas with considerable topographic variations. The results verify the effectiveness of GACOS products in Eastern China for the first time, and the three proposed metrics further characterise the sources of improvement after correction.
    Keywords guidelines ; interferometry ; river deltas ; spatial data ; standard deviation ; synthetic aperture radar ; topography ; uncertainty ; China ; Yellow River
    Language English
    Dates of publication 2021-04
    Publishing place Elsevier B.V.
    Document type Article
    ISSN 1569-8432
    DOI 10.1016/j.jag.2020.102289
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Monitoring and analysis of subsidence along Lian-Yan railway using multi-temporal Sentinel-1A InSAR

    HE Xiufeng / GAO Zhuang / XIAO Ruya / LUO Haibin / FENG Can

    Acta Geodaetica et Cartographica Sinica, Vol 50, Iss 5, Pp 600-

    2021  Volume 611

    Abstract: Multi-temporal interferometry synthetic aperture radar (MT-InSAR) has the capability to monitor deformation with millimeter precision over wide areas. It has been widely applied for the monitoring of land subsidence. In recent years, much attention was ... ...

    Abstract Multi-temporal interferometry synthetic aperture radar (MT-InSAR) has the capability to monitor deformation with millimeter precision over wide areas. It has been widely applied for the monitoring of land subsidence. In recent years, much attention was paid on monitoring of the subsidence along large-scale man-made linear features represented by high speed railway(HSR) with MT-InSAR. This paper conducts a tentative test for applying C-band SAR data to the deformation monitoring of HSR subgrade, phase stability analysis and improved StaMPS technology were jointly used to increase the point density and stability of deformation parameter solution. In this paper, a total of 47 Sentinel-1A images spanning 21 months were processed for MT-InSAR analysis along Lian-Yan HSR, and the accuracy of linear deformation velocity and time-series deformation were evaluated respectively by the data of continuous BDS (BeiDou navigation satellite system) monitoring station. The results demonstrate that C-band Sentinel-1A data is capable of achieving millimeter accuracy in linear deformation velocity and time-series deformation, the mean root mean square error (RMSE) value of time-series displacement differences between the InSAR and the BDS is 3.8 mm, agreed well with BDS monitoring data, and the overall performance of Lian-Yan HSR is stable.
    Keywords multiple-temporal insar ; bds ; lian-yan railway ; subsidence monitoring ; sentinel-1a ; Mathematical geography. Cartography ; GA1-1776
    Language Chinese
    Publishing date 2021-05-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Application and prospect of the integration of InSAR and BDS/GNSS for land surface deformation monitoring

    HE Xiufeng / GAO Zhuang / XIAO Ruya / LUO Haibin / JIA Dongzhen / ZHANG Zhetao

    Acta Geodaetica et Cartographica Sinica, Vol 51, Iss 7, Pp 1338-

    2022  Volume 1355

    Abstract: As flourishing space geodesy technologies, InSAR and BeiDou/GNSS have advantages in land surface deformation monitoring. By applying the two tools to carry out integrated measurements, their complementarity can be fully exploited to achieve the ... ...

    Abstract As flourishing space geodesy technologies, InSAR and BeiDou/GNSS have advantages in land surface deformation monitoring. By applying the two tools to carry out integrated measurements, their complementarity can be fully exploited to achieve the unification of high temporal resolution of BeiDou/GNSS and high spatial resolution of InSAR. This paper firstly introduces the basic principles of InSAR and BeiDou/GNSS for land surface deformation monitoring, focusing on the theoretical development of InSAR in the past two decades. Secondly, the latest progress of InSAR and BeiDou/GNSS integration and data fusion are reviewed. Then, the key issues and challenges faced by the land surface deformation monitoring applications are summarised. Finally, the future outlook of the deformation monitoring method integrating InSAR and BeiDou/GNSS is discussed.
    Keywords insar ; gnss ; bds ; deformation monitoring ; Mathematical geography. Cartography ; GA1-1776
    Subject code 710
    Language Chinese
    Publishing date 2022-07-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: InSAR stacking with atmospheric correction for rapid geohazard detection: Applications to ground subsidence and landslides in China

    Xiao, Ruya / Yu, Chen / Li, Zhenhong / Jiang, Mi / He, Xiufeng

    International Journal of Applied Earth Observation and Geoinformation. 2022 Dec., v. 115 p.103082-

    2022  

    Abstract: Earth observation technologies have great potential in the investigation, monitoring and assessment of various geohazards. Stacking is an efficient InSAR method for estimating deformation rates and helps in the generation and update of the geohazard ... ...

    Abstract Earth observation technologies have great potential in the investigation, monitoring and assessment of various geohazards. Stacking is an efficient InSAR method for estimating deformation rates and helps in the generation and update of the geohazard inventories. However, it relies on the assumption that the atmospheric statistics are stationary, which does not always hold in large-scale interferograms processing. The nonstationary signal, caused by turbulence and stratification of atmosphere, will bias the deformation estimate and lead to misinterpretations of the geophysical processes. In this paper, we propose an enhanced InSAR stacking method integrated with atmospheric correction. Atmospheric errors in the interferograms are first corrected, and then the mean deformation rate is estimated based on least squares. Applications are conducted in ground subsidence monitoring in the Yellow River Delta as well as landslide detection along the Jinsha River, China, with the deformation results evaluated by spatial structure function, semi-variogram and correlation. Spatial dependence in the subsidence results of the Yellow River Delta decreases from 757 km to 220 km, suggesting that the influence of atmospheric turbulence on deformation is mitigated. Correlation between deformation rate and elevation along the Jinsha River reduces from 0.40 to 0.15, indicating that stratification is suppressed. The proposed method adopts the strategies of simplicity and effectiveness, and the outcomes, which can meet the requirements of geohazards general survey, will be beneficial to rapid geohazard detection.
    Keywords deformation ; geophysics ; interferometry ; landslides ; river deltas ; rivers ; spatial data ; statistics ; subsidence ; surveys ; turbulent flow ; China ; Yellow River ; Geohazard detection ; InSAR stacking ; Atmospheric correction ; Landslide
    Language English
    Dates of publication 2022-12
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Use and reproduction
    ISSN 1569-8432
    DOI 10.1016/j.jag.2022.103082
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Millimeter to centimeter scale precision water-level monitoring using GNSS reflectometry: Application to the South-to-North Water Diversion Project, China

    Wang, Xiaolei / He, Xiufeng / Xiao, Ruya / Song, Minfeng / Jia, Dongzheng

    Remote sensing of environment. 2021 Nov., v. 265

    2021  

    Abstract: Water-level monitoring is important for climate analysis, water resource planning, and monitoring of disasters, such as floods, droughts, and storm surges. The technology of global navigation satellite system-reflectometry (GNSS-R) has been demonstrated ... ...

    Abstract Water-level monitoring is important for climate analysis, water resource planning, and monitoring of disasters, such as floods, droughts, and storm surges. The technology of global navigation satellite system-reflectometry (GNSS-R) has been demonstrated previously and can be used to retrieve data on various water levels, such as sea, lake, river, and reservoir water levels. In this paper, we focus on the branch of GNSS-R that is based on the conventional geodetic receiver. In order to improve precision and promote the actual application, we present a multi-site multi-signal GNSS-R combination method. Furthermore, to address the phenomenon of “double peaks” in spectrograms of GPS L2P/L2W signal, we present a strategy to retrieve water levels from the L2P/L2W signal captured using Z-tracking method. Data of a GNSS network, which included a base station and three monitoring sites, established in a reservoir of the South-to-North Water Diversion Project were analyzed. The multi-site, multi-signal combination method was used to form a 6-h water level retrieval series and the retrievals showed a root mean square error (RMSE) of 6.0 mm. This is the first example of GNSS-R water-level retrieval achieving a millimeter to centimeter scale precision. The ability of the GNSS technology to simultaneously monitor water level and displacement based on the same GNSS network were also discussed and demonstrated. This study showed that GNSS-R could achieve high precision, high sampling, increased service, and lower cost, thereby representing a crucial progress in the practical application of the GNSS-R technology.
    Keywords climate ; environment ; lakes ; reflectometry ; rivers ; satellites ; storms ; China
    Language English
    Dates of publication 2021-11
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 431483-9
    ISSN 0034-4257
    ISSN 0034-4257
    DOI 10.1016/j.rse.2021.112645
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    984/1289: Show issues
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  7. Article: Coseismic Slip Distribution of the 2019 Mw 7.5 New Ireland Earthquake from the Integration of Multiple Remote Sensing Techniques

    Song, Chuang / Yu, Chen / Li, Zhenhong / Li, Yongsheng / Xiao, Ruya

    Remote Sensing. 2019 Nov. 24, v. 11, no. 23

    2019  

    Abstract: The 2019 Mw 7.5 New Ireland earthquake occurred at an equatorial area where the dense vegetation prevents remote sensing techniques such as C- or X-band interferometric synthetic aperture radar (SAR) from acquiring coherent phase measurements. Therefore, ...

    Abstract The 2019 Mw 7.5 New Ireland earthquake occurred at an equatorial area where the dense vegetation prevents remote sensing techniques such as C- or X-band interferometric synthetic aperture radar (SAR) from acquiring coherent phase measurements. Therefore, in this paper, multiple remote sensing techniques including the L-band interferometric SAR, the range and azimuth offset tracking of SAR intensities, and the offset tracking of optical images were employed to map its co-seismic deformation field and to determine the slip distribution. The surface rupture was clearly and consistently captured by all offset observations, with the ground fault trace striking at an angel of 315° and extending over 10 km. An iterative weighting strategy based on the residual root mean square of inversions using individual datasets was developed to determine the relative weight of each dataset, allowing for the joint inversion of the fault geometry, the refinement of the dip angle, and the determination of the best fitting slip distribution. The resultant model indicates a nearly left-lateral strike-slip motion on the Weitin fault that ruptured to the surface with a maximum slip of 6.10 m, occurring at a depth of ~10 km, and a geodetic moment release of 1.03 × 1020 Nm, corresponding to a magnitude of Mw 7.31. The distribution of aftershocks shows about 70% of aftershocks were located in the area with increased Coulomb failure stress and few aftershocks in the subduction zone to the south of the Weitin fault were triggered by this event.
    Keywords data collection ; deformation ; earthquakes ; geodesy ; interferometry ; models ; remote sensing ; subduction ; synthetic aperture radar ; vegetation
    Language English
    Dates of publication 2019-1124
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs11232767
    Database NAL-Catalogue (AGRICOLA)

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