Three-dimensional and long-term landslide displacement estimation by fusing C- and L-band SAR observations: A case study in Gongjue County, Tibet, China

Liu, Xiaojie; Zhao, Chaoying; Zhang, Qin; Yin, Yueping; Lü, Zhong; Самсонов, С. В.; Yang, Chengsheng; Wang, Meng; Tomás, Roberto

doi:10.1016/j.rse.2021.112745

Cited by 48 publications

(19 citation statements)

References 62 publications

(80 reference statements)

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“…With the aid of the estimated parameters, the optimal final cumulative subsidence and horizontal displacements, and then the final cumulative displacement and the displacement time series corresponding to SAR acquisitions in LOS directions over working face CG1312 were generated according to Eqs. (4) − (7). Finally, the DS InSAR-derived deformation time series and the PIM inverted deformation time series were fused according to the following the rules:…”

Section: ) Model Constraints By Using Ds Insar Resultsmentioning

confidence: 99%

“…The advent of the spaceborne interferometric synthetic aperture radar (InSAR) technique has brought unprecedented possibilities and convenience for observing land surface deformation with both high accuracy and unparalleled spatiotemporal resolution. In particular, the successful operation of the Sentinel-1 C-Band SAR satellite (from the Copernicus initiative of the European Space Agency) has escalated InSAR from a few, limited practices to plentiful, various applications in earthquakes [5], [6], landslides [7], [8], volcanic activities [9], [10], urban deformation [11], [12] and mining activities [13], [14]. However, despite its success in measuring surface subsidence associated with mining activities, InSAR is still limited in two ways [4], [15], [16], [17]: 1) the magnitude of surface subsidence usually reaches the submeter or meter level in a relatively short period, thereby introducing phase unwrapping error or even decorrelation.…”

Section: Introductionmentioning

confidence: 99%

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Revealing Land Surface Deformation Over the Yineng Backfilling Mining Area, China, by Integrating Distributed Scatterer SAR Interferometry and a Mining Subsidence Model

Chen

et al. 2023

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

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Monitoring the surface deformation of filling coal mines regularly and understanding their spatiotemporal evolution characteristics for mining management and disaster warning is greatly significant. However, there is a lack of research on extracting spatiotemporal evolution characteristics of large-scale and high-resolution surface deformation in backfill mining areas and on evaluating filling effectiveness of subsidence restraint. In this study, we took the Yineng Coal Mine in Shandong Province of China and the surrounding area of the coal mine as the study area. The advanced Distributed scatterer InSAR (DS InSAR) technique was adopted for time-series analysis. The probability integral method (PIM) model for backfilling mining and an arctangent time function were integrated with DS InSAR to overcome the sparsity of InSAR observation points due to the temporal decorrelation caused by vegetation coverage. The results show that the proposed integration strategy is helpful in improving the number of effective monitoring points and obtaining the complete spatiotemporal information of the surface deformation of the working face. The whole study area has eight key deformation zones. All six working faces in the Yineng initial minery display different degrees of deformation during the study period. The comparison between the deformation results of backfill mining Manuscript

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Section: ) Model Constraints By Using Ds Insar Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Revealing Land Surface Deformation Over the Yineng Backfilling Mining Area, China, by Integrating Distributed Scatterer SAR Interferometry and a Mining Subsidence Model

Chen

et al. 2023

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

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“…Interferometric synthetic aperture radar (InSAR) technology has widely used in quick identify (Xu et al, 2014;Fobert et al, 2021) and monitor landslide deformation (Achache et al, 1996;Zhao et al, 2012;Kang et al, 2017;Liu et al, 2021), because of its wide coverage, high precision and frequent revisit. In last 2 decades, lots of advanced InSAR technologies have been proposed to increase the precision and accuracy of surface deformation results.…”

Section: Introductionmentioning

confidence: 99%

Karst landslides detection and monitoring with multiple SAR data and multi-dimensional SBAS technique in Shuicheng, Guizhou, China

Sun

Zhao

et al. 2023

Front. Earth Sci.

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Shuicheng District is a karst mountain area, located in Guizhou Province, China. Its fragile stratum and frequent underground mining activities makes it prone to landslides. Owning to its wide coverage and frequent revisit, the InSAR technology has advantages in potential landslide identification and deformation monitor. However, affected by dense vegetation and atmospheric delay, it is much difficult to get sufficient effective targets to derive the deformation in this area. Besides, deformation derived from single orbit SAR data can result in the missing identification of some potential landslides and the misinterpreting of the real kinematics process of landslides. In this study, the multi-source SAR data, atmospheric error correction by quadratic tree image segmentation method, and phase-stacking method were selected to derive the surface deformation of this area. Besides, DS-InSAR and MSBAS method were combined to derive the deformation of Pingdi landslide. First, the potential landslides in this area were identified, surface deformation result, optical remote sensing images and geomorphological features were jointly considered. Then, the landslide distribution characteristics was analyzed in terms of slope, elevation and stratum. After that, the deformation along the LOS direction was acquired using the DS-InSAR method. The MSBAS method was used to retrieve the two-dimensional deformation of Pingdi landslide. Finally, the comprehensive analysis of triggering factors and failure process were conducted according to the spatial-temporal deformation characteristics and field investigation. The results indicated that landslides in Shuicheng district were mostly located in the junction of T1 and P3 stratum and mining related. Mining activity was the main cause of the Pingdi landslide deformation, the precipitation was the driving factor of the landslide instability. The research provides an insight into the explore the unstable slope distribution characteristic and the failure process of the landslides.

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“…Satellite‐based interferometric synthetic aperture radar (InSAR) data can be analyzed alongside precipitation and groundwater data and used to inventory and monitor landslides with the high spatial and temporal resolution necessary to explore hydrologic controls on landslide motion (Bayer et al., 2018; Cohen‐Waeber et al., 2018; Handwerger et al., 2013). The open‐access data collected by Copernicus Sentinel‐1 A/B satellites, in particular, has revolutionized InSAR studies on landslides (Bayer et al., 2018; Carlà et al., 2019; Handwerger, Huang, et al., 2019; Intrieri et al., 2017; Liu et al., 2021; Raspini et al., 2018), and other ground surface deformation (Cigna & Tapete, 2021; Huang et al., 2017; Lundgren et al., 2020; Strozzi et al., 2020), and has led to the development of automated InSAR processing systems that produce derived higher‐level standard products that can be used for scientific research (Buzzanga et al., 2020; Dehls et al., 2019; Jones et al., 2021; Lazecký et al., 2020). These derived standard products will become especially important as the volume of InSAR data continues to grow, making it increasingly challenging to process and download InSAR data for large regions on a personal computer.…”

Section: Introductionmentioning

confidence: 99%

Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates

Handwerger

Fielding

Sangha

et al. 2022

Geophysical Research Letters

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Slow‐moving landslides are hydrologically driven. Yet, landslide sensitivity to precipitation, and in particular, precipitation extremes, is difficult to constrain because landslides occur under diverse hydroclimatological conditions. Here we use standardized open‐access satellite radar interferometry data to quantify the sensitivity of 38 landslides to both a record drought and extreme rainfall that occurred in California between 2015 and 2020. These landslides are hosted in similar rock types, but span more than ∼2 m/yr in mean annual rainfall. Despite the large differences in hydroclimate, we found these landslides exhibited surprisingly similar behaviors and hydrologic sensitivity, which was characterized by faster (slower) than average velocities during wetter (drier) than average years, once the impact of the drought diminished. Our findings may be representative of future landslide behaviors in California where precipitation extremes are predicted to become more frequent with climate change.

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Three-dimensional and long-term landslide displacement estimation by fusing C- and L-band SAR observations: A case study in Gongjue County, Tibet, China

Cited by 48 publications

References 62 publications

Revealing Land Surface Deformation Over the Yineng Backfilling Mining Area, China, by Integrating Distributed Scatterer SAR Interferometry and a Mining Subsidence Model

Revealing Land Surface Deformation Over the Yineng Backfilling Mining Area, China, by Integrating Distributed Scatterer SAR Interferometry and a Mining Subsidence Model

Karst landslides detection and monitoring with multiple SAR data and multi-dimensional SBAS technique in Shuicheng, Guizhou, China

Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates

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