Early soil consolidation from magnetic extensometers and full resolution SAR interferometry over highly decorrelated reclaimed lands

Shi, Guo Qing; Lin, Hui; Bürgmann, Roland; Ma, Peifeng; Wang, Jili; Liu, Yuzhou

doi:10.1016/j.rse.2019.111231

Cited by 18 publications

(7 citation statements)

References 62 publications

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“…This region is likely to be influenced by the unconsolidated and soft soil underlay. For some of the reclamation projects, the long-time consolidation process can even last for decades [53][54][55][56]. We detected a maximum subsidence rate of approximately 23…”

Section: Deformation Estimates and Cross-validationmentioning

confidence: 77%

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Shi

Lin

et al. 2020

Remote Sensing

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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 of homogeneous pixels on built surfaces. We propose a simple phase-correlated pixel (PCP) clustering and introduce a coherence-weighted phase link (WPL), i.e., PCPWPL, to pursue a faster processing of interferogram phase denoising. Rather than relying on the statistical tests of amplitude characteristics, we exploit vector correlation in the complex domain to identify PCPs with similar phase observations, thus, avoiding the intensive hypothesis test. A coherence-weighted phase linking is applied for DS phase reconstruction. The estimation of geophysical parameters, e.g., deformation, is completed using an integrated network of persistent scatterers (PS) and DS. Efficiency of the proposed method is fairly illustrated by both synthetic and real data experiments. Pros and cons of the proposed PCPWPL were analyzed with the comparison to a conventional amplitude-based strategy using an X-band CosmoSkyMed dataset. It is demonstrated that the use of phase correlation is sufficient for DS monitoring in built scenarios, with equivalent measurement quantity and cheaper computational cost.

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Section: Deformation Estimates and Cross-validationmentioning

confidence: 77%

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Shi

Lin

et al. 2020

Remote Sensing

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“…InSAR has been widely used in a variety of geological hazards and processes such as landslides, earthquakes, volcanoes, aquifers, mining excavations, land subsidence, and nuclear explosions (e.g. Shi, Lin, et al, 2019;Wang et al, 2011Wang et al, , 2018. Previous geodetic studies at the Slumgullion landslide focused on quantifying the magnitude of the movements and kinematics of landslide deformation (e.g., Coe et al, 2000;Coe et al, 2003;Delbridge et al, 2016;Fleming et al, 1999;Milillo et al, 2014;Schulz, Kean, & Wang, 2009;Schulz, Mckenna, et al, 2009;Schulz et al, 2017).…”

Section: 1029/2020gl087452mentioning

confidence: 99%

“…Interferometric Synthetic Aperture Radar (InSAR) is a remote sensing approach to measure the regional ground displacement from the phase difference between SAR images collected at different times. InSAR has been widely used in a variety of geological hazards and processes such as landslides, earthquakes, volcanoes, aquifers, mining excavations, land subsidence, and nuclear explosions (e.g., Bürgmann et al, 2000; Handwerger et al, 2019; Hu et al, 2017, Hu et al, 2018; Kim et al, 2015; Lu & Dzurisin, 2014; Schaefer et al, 2017; Shi, Lin, et al, 2019; Wang et al, 2011, 2018). Previous geodetic studies at the Slumgullion landslide focused on quantifying the magnitude of the movements and kinematics of landslide deformation (e.g., Coe et al, 2000; Coe et al, 2003; Delbridge et al, 2016; Fleming et al, 1999; Milillo et al, 2014; Schulz, Kean, & Wang, 2009; Schulz, Mckenna, et al, 2009; Schulz et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Rheology of a Debris Slide From the Joint Analysis of UAVSAR and LiDAR Data

Bürgmann

2020

Geophysical Research Letters

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Landslide rheology governs the deformation and flow behavior of sliding masses. As rheology strongly varies as a function of the composition and environment of landslides, a wide range of viscosities have been suggested based on very limited experimental or observational constraints. Here, we introduce a novel method to quantify the landslide rheology from remote sensing data. We focus on an ideal natural laboratory, the Slumgullion landslide, Colorado, which has moved at tens of millimeters per day for centuries. A joint analysis of Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) Interferometric Synthetic Aperture Radar (InSAR)-derived surface displacements and Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM)-derived landslide thickness at its frontal toe allows us to invert for the intrinsic viscosity (10 9 -10 11.5 Pa·s under different degrees of plasticity) based on the Bingham plastic model. Detailed displacement measurements also elucidate local variations in magnitude and orientation. Our method presents the capability of remote sensing data to understand the rheology of quasi-static debris slides in general.Plain Language Summary Landslides are common geological hazards that may lead to casualties and damage. Landslides also present as a surface process that reshapes mountainous landscapes around the world. The soil and rock materials, water content, and the associated vegetation and organic matter contribute to a variety of landslide mechanical properties and rheology, which characterize the slide/flow approximation of the mass wasting process and thus the landslide speed. To date, the determination of the landslide rheology has mainly relied on analyzing samples in the lab. However, many landslides are inaccessible for sample collection, and the lab environment subject to isolated and small samples can hardly be compared to the intact landslide in nature. Taking advantage of high-resolution airborne remote sensing data sets at the Slumgullion debris slide in Colorado, we extract the landslide surface displacements and topography. Incorporating our observations, we consider a classic model in fluid mechanism to infer the rheological parameters. We also identify the spatiotemporally variable landslide movements. A joint analysis and interdisciplinary approach incorporating remote sensing and basic physics can help us better determine the landslide dynamics and mitigate the risks to humans.

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“…Satellite-based interferometric synthetic aperture radar (InSAR) provides an excellent monitoring tool to map surface displacements with high spatiotemporal detail, i.e., spatial resolution ranging from sub-meter to dozens of meters, and centimeter to sub-centimeter measurement precision with weekly or monthly updates [10]. The strengths of this earth observation technique have been adequately illustrated in its extensive applications, such as reclamations [11,12], infrastructures [13,14], glaciers [15], earthquakes [16,17], volcanos [18,19], landslides [20,21], and nuclear explosion [22]. InSAR has also become a powerful tool to map and characterize settlements associated with the large-scale MECC projects.…”

Section: Introductionmentioning

confidence: 99%

Observation of Surface Displacement Associated with Rapid Urbanization and Land Creation in Lanzhou, Loess Plateau of China with Sentinel-1 SAR Imagery

et al. 2021

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Lanzhou is one of the cities with the higher number of civil engineering projects for mountain excavation and city construction (MECC) on the China’s Loess Plateau. As a result, the city is suffering from severe surface displacement, which is posing an increasing threat to the safety of the buildings. However, up to date, there is no comprehensive and high-precision displacement map to characterize the spatiotemporal surface displacement patterns in the city of Lanzhou. In this study, satellite-based observations, including optical remote sensing and synthetic aperture radar (SAR) sensing, were jointly used to characterize the landscape and topography changes in Lanzhou between 1997 and 2020 and investigate the spatiotemporal patterns of the surface displacement associated with the large-scale MECC projects from 2015 December to March 2021. First, we retrieved the landscape changes in Lanzhou during the last 23 years using multi-temporal optical remote sensing images. Results illustrate that the landscape in local areas of Lanzhou has been dramatically changed as a result of the large-scale MECC projects and rapid urbanization. Then, we optimized the ordinary time series InSAR processing procedure by a “dynamic estimation of digital elevation model (DEM) errors” step added before displacement inversion to avoid the false displacement signals caused by DEM errors. The DEM errors and the high-precision surface displacement maps between December 2015 and March 2021 were calculated with 124 ascending and 122 descending Sentinel-1 SAR images. By combining estimated DEM errors and optical images, we detected and mapped historical MECC areas in the study area since 2000, retrieved the excavated and filling areas of the MECC projects, and evaluated their areas and volumes as well as the thickness of the filling loess. Results demonstrated that the area and volume of the excavated regions were basically equal to that of the filling regions, and the maximum thickness of the filling loess was greater than 90 m. Significant non-uniform surface displacements were observed in the filling regions of the MECC projects, with the maximum cumulative displacement lower than −40 cm. 2D displacement results revealed that surface displacement associated with the MECC project was dominated by settlements. From the correlation analysis between the displacement and the filling thickness, we found that the displacement magnitude was positively correlated with the thickness of the filling loess. This finding indicated that the compaction and consolidation process of the filling loess largely dominated the surface displacement. Our findings are of paramount importance for the urban planning and construction on the Loess Plateau region in which large-scale MECC projects are being developed.

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Early soil consolidation from magnetic extensometers and full resolution SAR interferometry over highly decorrelated reclaimed lands

Cited by 18 publications

References 62 publications

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Rheology of a Debris Slide From the Joint Analysis of UAVSAR and LiDAR Data

Observation of Surface Displacement Associated with Rapid Urbanization and Land Creation in Lanzhou, Loess Plateau of China with Sentinel-1 SAR Imagery

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