Applicability of an interferometric optical fibre sensor for shallow landslide monitoring – Experimental tests

Ivanov, Vladislav Ivov; Longoni, Laura; Ferrario, Maddalena; Brunero, M.; Arosio, Diego; Papini, Monica

doi:10.1016/j.enggeo.2021.106128

Cited by 22 publications

(13 citation statements)

References 49 publications

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“…As in (Ivanov et al, 2020, Ivanov et al, 2021, Panzeri et al, 2022, the landslide bodies of the present work experiments were both composed of homogeneous medium sand (d50 = 0.35 mm, uniformity coefficient Cu = 1.75, internal friction ϕ = 34°). The sand was disposed in the flume in three steps, laying and compacting three subsequent sand layers in order to achieve a uniform compaction for a total thickness of 15 cm.…”

Section: Methodsmentioning

confidence: 99%

Application of Lucas-Kanade Dense Flow for Terrain Motion in Landslide Monitoring Application

Yordanov,

Truong,

Corti

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Landslides are natural hazards that can cause severe damage and loss of life. Optical cameras are a low-cost and high-resolution alternative among many monitoring systems, as their size and capabilities can vary, allowing for flexible implementation and location. Computer vision is a branch of artificial intelligence that can analyze and understand optical images, using techniques such as optical flow, image correlation and machine learning. The application of such techniques can estimate the motion vectors, displacement fields, providing valuable information for landslide detection, monitoring and prediction. However, computer vision also faces some challenges such as illumination changes, occlusions, image quality, and computational complexity. In this work, a computer vision approach based on Lucas-Kanade optical dense flow was applied to estimate the motion vectors between consecutive images obtained during landslide simulations in a laboratory environment. The approach is applied to two experiments that vary in their illumination and setup parameters to test its applicability. We also discuss the application of this methodology to images from Sentinel-2 satellite optical sensors for landslide monitoring in real-world scenarios.

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Section: Methodsmentioning

confidence: 99%

Application of Lucas-Kanade Dense Flow for Terrain Motion in Landslide Monitoring Application

Yordanov,

Truong,

Corti

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Because of the sensitivity of the propagating light signal to disturbances, such as strain and temperature change, optical fiber cables have been effectively employed as sensing devices that can transport high-quality data across large distances at remarkable speeds. Fibre-optic (FO) sensors can be inserted directly into the ground; linked to a stabilizing structure or reinforcement; or coupled to traditional monitoring equipment, such as an inclinometer [82].…”

Section: Acoustic Emission (Ae)mentioning

confidence: 99%

“…The term comes from the sensing mechanism that produces an integral of the signal response throughout the whole length of the sensor. This sensing system demonstrates its suitability for providing an overall indication of the status of the monitored region, as well as the yielding strain and temperature change indicators with high temporal resolution [82]. Yu et al [86] examined experimentally distributed coherent optical time-domain reflectometry (C-OTDR), which has a spatial resolution of one meter and a resolution of 0.1 m. The fiber was placed in a snake-like manner, as shown in Figure 15, to monitor the displacement in both directions at the same time.…”

Section: Acoustic Emission (Ae)mentioning

confidence: 99%

Recent Phenomenal and Investigational Subsurface Landslide Monitoring Techniques: A Mixed Review

Ebrahim,

Gomaa,

Zayed

et al. 2024

Remote Sensing

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Landslides are a common and challenging geohazard that may be caused by earthquakes, rainfall, or manmade activity. Various monitoring strategies are used in order to safeguard populations at risk from landslides. This task frequently depends on the utilization of remote sensing methods, which include the observation of Earth from space, laser scanning, and ground-based interferometry. In recent years, there have been notable advancements in technologies utilized for monitoring landslides. The literature lacks a comprehensive study of subsurface monitoring systems using a mixed review approach that combines systematic and scientometric methods. In this study, scientometric and systematic analysis was used to perform a mixed review. An in-depth analysis of existing research on landslide-monitoring techniques was conducted. Surface-monitoring methods for large-scale landslides are given first. Next, local-scale landslide subsurface monitoring methods (movement, forces and stresses, water, temperature, and warning signs) were examined. Next, data-gathering techniques are shown. Finally, the physical modeling and prototype field systems are highlighted. Consequently, key findings about landslide monitoring are reviewed. While the monitoring technique selection is mainly controlled by the initial conditions of the case study, the superior monitoring technique is determined by the measurement accuracy, spatiotemporal resolution, measuring range, cost, durability, and applicability for field deployment. Finally, research suggestions are proposed, where developing a superior distributed subsurface monitoring system for wide-area monitoring is still challenging. Interpolating the complex nonlinear relationship between subsurface monitoring readings is a clear gap to overcome. Warning sign systems are still under development.

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“…With the development of optical fiber sensing technology [16], many scholars [17][18][19][20][21] began to apply it to the monitoring of slope engineering, and achieved some good results. Zhu et al [22] developed an innovative quasi-distributed optical fiber sensing network based on fiber Bragg grating (FBG) technology to monitor the strain distribution of soil nails, the underground displacement of slope and the internal strain of soil.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on joint sensing and early warning method of landslide disaster based on NPR-OFST

Tao,

feng,

Zhang

et al. 2024

Preprint

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In order to explore more effective methods of landslide disaster monitoring and controlling, NPR anchor cable and optical fiber grating strain sensor are physically combined to form a slope reinforcement-monitoring integration system, with PVC pipe an intermediary. Physical model test is carried out according to timely warning of landslide disasters of the Newtonian force monitoring system. At the same time, the optical fiber sensing technology has the condition of continuous perception of time and space. The feasibility of monitoring the whole life cycle of slope instability and positioning the potential sliding surface is discussed. Through the analysis of the test results, it is concluded that the fiber grating strain sensor can effectively monitor the deep displacement of the slope. PVC pipe and the soil have deformation coordination, which is able to effectively reinforce the slope body together with the combined anchor cable sensing device, and can continuously sense the potential sliding surface in the whole life cycle of the slope. By comparing the results of Newton force monitoring curve with the fiber grating strain monitoring, the mechanical law of “Newton force sudden drops, immediately catastrophe happens” is further verified. Finally, it is concluded that the combined sensing and early warning method of optical fiber sensing technology and Newton force monitoring can realize comprehensive monitoring and control of landslide disasters. This method realizes the further optimization of Newton force monitoring system.

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Applicability of an interferometric optical fibre sensor for shallow landslide monitoring – Experimental tests

Cited by 22 publications

References 49 publications

Application of Lucas-Kanade Dense Flow for Terrain Motion in Landslide Monitoring Application

Application of Lucas-Kanade Dense Flow for Terrain Motion in Landslide Monitoring Application

Recent Phenomenal and Investigational Subsurface Landslide Monitoring Techniques: A Mixed Review

Experimental study on joint sensing and early warning method of landslide disaster based on NPR-OFST

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