Modeling of landslide topography based on micro-unmanned aerial vehicle photography and structure-from-motion

Yu, Miao; Huang, Yu; Zhou, Jiamin; Mao, Liya

doi:10.1007/s12665-017-6860-x

Cited by 39 publications

(20 citation statements)

References 24 publications

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“…1a). The slope is primarily composed of Cretaceous silty mudstone, conglomerate, and sandstone overlain by Quaternary silty clay (Yu et al, 2017) (Fig. 1b).…”

Section: Geomorphological and Geological Settingmentioning

confidence: 99%

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

Huang

Deng

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Flow-like landslides, such as flow slides and debris avalanches, have caused serious infrastructure damage and casualties for centuries. Effective numerical simulation incorporating accurate soil mechanical parameters is essential for predicting post-failure landslide mobility. In this study, smoothed particle hydrodynamics (SPH) incorporating soil ring shear test results were used to forecast the long-runout mobility for a landslide on an unstable slope in China. First, a series of ring shear tests under different axial stresses and shear velocities were conducted to evaluate the residual shear strength of slip zones after extensive shear deformation. Based on the ring shear test results, SPH modeling was conducted to predict the post-failure mobility of a previously identified unstable slope. The results indicate that the landslide would cut a fire service road on the slope after 12 s and cover an expressway at the foot of that slope after 36 s. In the model, the landslide would finally stop sliding about 38 m beyond the foot of the slope after 200 s. This study extends the application of the SPH model from disaster simulations to predictive analysis of unstable landslide. In addition, two sets of comparative calculations were carried out which demonstrate the robustness of the SPH method.

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“…1a). The slope is primarily composed of Cretaceous silty mudstone, conglomerate, and sandstone overlain by Quaternary silty clay (Yu et al, 2017) (Fig. 1b).…”

Section: Geomorphological and Geological Settingmentioning

confidence: 99%

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

Huang

Deng

et al. 2018

Nat. Hazards Earth Syst. Sci.

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“…For this reason, custom remote sensing data need to be acquired, mostly with UAV-SfM or TLS. Such high-resolution DEMs are often required for snow cover modelling [32,33], analysis of glacial morphogenesis [34], land surface dynamics [35,36] and associated land surface processes such as water flows and avalanches.…”

Section: Introductionmentioning

confidence: 99%

Combined Use of Terrestrial Laser Scanning and UAV Photogrammetry in Mapping Alpine Terrain

et al. 2019

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Airborne and terrestrial laser scanning and close-range photogrammetry are frequently used for very high-resolution mapping of land surface. These techniques require a good strategy of mapping to provide full visibility of all areas otherwise the resulting data will contain areas with no data (data shadows). Especially, deglaciated rugged alpine terrain with abundant large boulders, vertical rock faces and polished roche-moutones surfaces complicated by poor accessibility for terrestrial mapping are still a challenge. In this paper, we present a novel methodological approach based on a combined use of terrestrial laser scanning (TLS) and close-range photogrammetry from an unmanned aerial vehicle (UAV) for generating a high-resolution point cloud and digital elevation model (DEM) of a complex alpine terrain. The approach is demonstrated using a small study area in the upper part of a deglaciated valley in the Tatry Mountains, Slovakia. The more accurate TLS point cloud was supplemented by the UAV point cloud in areas with insufficient TLS data coverage. The accuracy of the iterative closest point adjustment of the UAV and TLS point clouds was in the order of several centimeters but standard deviation of the mutual orientation of TLS scans was in the order of millimeters. The generated high-resolution DEM was compared to SRTM DEM, TanDEM-X and national DMR3 DEM products confirming an excellent applicability in a wide range of geomorphologic applications.The general advantage of laser scanning over photogrammetry is in the ability of sampling several kinds of surfaces (e.g., top of vegetation canopy, inter-canopy surfaces, and ground) which are in the line of sight of the laser beam until impermeable surface restrains further penetration of the laser energy. UAV-SfM has become a low-cost alternative to TLS, generating point clouds with comparable accuracies to TLS albeit with the limitation of sampling the top surface in the field of view. Either way, in cases where TLS or UAV-SfM are used separately, data shadows originate in areas which are obscured in the sensor's field of view [23,29] (Figure 1). Complementing the unsampled areas with the surface altitude measurements is possible by sensing the area from multiple positions and different viewing perspectives by changing the location of the sensor. Zhang and Lin [30] provide a systematic overview of the lidar and photogrammetric data fusion. Cawood et al. [7] showed there is no exclusive method for capturing complex 3D geometry in the case study of 3D modelling a large boulder with distinct geological structural features. Combination of TLS and UAV-SfM provided the most satisfying results to capture the geometric complexity of the object of interest for structural analysis. A similar approach of combining different viewing geometry of TLS and photogrammetry was demonstrated in 3D modelling of a historical city by [23]. Planning the data collection in the mentioned studies concerned environments with a relatively easy access for the technology and the surveying pe...

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“…Over the past few decades, an explosion in the quantity and quality of geodetic data has been increasingly applied to geological and anthropogenic hazards [1][2][3][4][5][6][7]. It includes ground-, air-and space-based observations that span a range of spatial and temporal resolutions.…”

Section: Introductionmentioning

confidence: 99%

“…It includes ground-, air-and space-based observations that span a range of spatial and temporal resolutions. The development of space geodetic techniques has been particularly important to the measurement of surface displacements, resulting in a sharp increase in the number of active areas where deformation has been detected [5][6][7][8][9]. These new sensitivities and capabilities have produced the need for new approaches for analyzing, modeling and interpreting geodetic data [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Simultaneously, the rapid growth of the global population concentrated in large cities has led to significant increase in risks when such highly populated areas are also subject to natural (e.g., flood, volcanic and seismic activity) and anthropogenic hazards [4][5][6][7][10][11][12][13][14]. Improving our understanding of the processes associated with these geological and anthropogenic hazards is crucial for developing systems that monitor and evaluate them, as well as to aid decision makers during a crisis.…”

Section: Introductionmentioning

confidence: 99%

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Modeling 3D Free-geometry Volumetric Sources Associated to Geological and Anthropogenic Hazards from Space and Terrestrial Geodetic Data

Camacho

Torres

2019

Remote Sensing

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Recent decades have shown an explosion in the quantity and quality of geodetic data, mainly space-based geodetic data, that are being applied to geological and anthropogenic hazards. This has produced the need for new approaches for analyzing, modeling and interpreting these geodetic data. Typically, modeling of deformation and gravity changes follows an inverse approach using analytical or numerical solutions, where normally regular geometries (point sources, disks, prolate or oblate spheroids, etc.) are assumed at the initial stages and the inversion is carried out in a linear context. Here we review an original methodology for the simultaneous, nonlinear inversion of gravity changes and/or surface deformation (measured with different techniques) to determine 3D (three-dimensional) bodies, without any a priori assumption about their geometries, embedded into an elastic or poroelastic medium. Such a fully nonlinear inversion has led to interesting results in volcanic environments and in the study of water tables variation due to its exploitation. This methodology can be used to invert geodetic remote sensing data or terrestrial data alone, or in combination.

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Modeling of landslide topography based on micro-unmanned aerial vehicle photography and structure-from-motion

Cited by 39 publications

References 24 publications

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

Combined Use of Terrestrial Laser Scanning and UAV Photogrammetry in Mapping Alpine Terrain

Modeling 3D Free-geometry Volumetric Sources Associated to Geological and Anthropogenic Hazards from Space and Terrestrial Geodetic Data

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