Direct Measurements of Bedrock Incision Rates on the Surface of a Large Dip-slope Landslide by Multi-Period Airborne Laser Scanning DEMs

Hsieh, Yu-Chung; Chan, Yu-Chang; Hu, Jyr‐Ching; Chen, Yizhong; Chen, Rou-Fei; Chen, Mien-Ming

doi:10.3390/rs8110900

Cited by 11 publications

(6 citation statements)

References 60 publications

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“…Due to these advantages, recently it has gained increasing attention in a wide variety of engineering fields, such as surveying, structure monitoring, civil, and mining engineering [ 14 , 15 , 16 ]. So far, static and mobile laser scanning systems have been developed for change detection and deformation measurement, such as terrestrial laser scanning (TLS) [ 17 , 18 , 19 ]. Three measurement principles are mainly used in change detection and deformation measurement with TLS: triangulation, time-of-flight, and structured light and photogrammetry [ 20 ].…”

Section: The Terrestrial Laser Scanning In Change Detection and Dementioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang

Zhang

Liu

et al. 2017

Sensors

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Abstract:The deformation of underground gateroads tends to be asymmetric and complex. Traditional instrumentation fails to accurately and conveniently monitor the full cross-sectional deformation of underground gateroads. Here, a full cross-sectional laser scanner was developed, together with a visualization software package. The developed system used a polar coordinate measuring method and the full cross-sectional measurement was shown by 360 • rotation of a laser sensor driven by an electrical motor. Later on, the potential impact of gateroad wall flatness, roughness, and geometrical profile, as well as coal dust environment on the performance of the developed laser scanner will be evaluated. The study shows that high-level flatness is favorable in the application of the developed full cross-sectional deformation monitoring system. For a smooth surface of gateroad, the sensor cannot receive reflected light when the incidence angle of laser beam is large, causing data loss. Conversely, the roughness surface shows its nature as the diffuse reflection light can be received by the sensor. With regards to coal dust in the measurement environment, fine particles of floating coal dust in the air can lead to the loss of measurement data to some extent, due to scattering of the laser beam.

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Section: The Terrestrial Laser Scanning In Change Detection and Dementioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang

Zhang

Liu

et al. 2017

Sensors

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“…In 2012, a review of high-resolution DTMs obtained starting from LS for the detection, characterization and monitoring of landslides, rockfalls, and debris flows was presented [28]. Other remarkable works regarding the creation and use of high-resolution DTMs involve: the generation of an optimal DTM from Airborne Laser Scanning (ALS) data obtained with three sequential filtering steps and four interpolation techniques after each step [29]; monitoring of an active Austrian landslide by means of multi-temporal DTMs as input to the range flow algorithm [30]; analysis of short-term erosional features by means of multi-period ALS DTMs [31]; mapping and geomorphometrical evaluation of sliding areas in the Eastern Alps [32]; morphological change detection among multi-period UAV DTMs for mapping, monitoring, and early warning [7]; implementation of a morphological reconstruction method to assess landslide morphology through UAS (Unmanned Aircraft System) DTM [10]; processing of UAS DTM to solve questions related to contrasts in setting lithological boundaries in geological maps [33]; and recognition and extraction of channel network through the study of landform curvature [34].…”

Section: Introduction 1the Need Of a High Resolution Dtmmentioning

confidence: 99%

Integrated Laser Scanner Techniques to Produce High-Resolution DTM of Vegetated Territory

et al. 2021

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The paper presents the first part of a research project concerning the creation of 3D terrain models useful to understand landslide movements. Thus, it illustrates the creation process of a multi-source high-resolution Digital Terrain Model (DTM) in very dense vegetated areas obtained by integrating 3D data coming from three sources, starting from long and medium-range Terrestrial Laser Scanner up to a Backpack Indoor Mobile Mapping System. The point clouds are georeferenced by means of RKT GNSS points and automatically filtered using a Cloth Simulation Filter algorithm to separate points belonging to the ground. Those points are interpolated to produce the DTMs which are then mosaicked to obtain a unique multi-resolution DTM that plays a crucial role in the detection and identification of specific geological features otherwise visible. Standard deviation of residuals of the DTM varies from 0.105 m to 0.176 m for Z coordinate, from 0.065 m to 0.300 m for X and from 0.034 m to 0.175 m for Y. The area under investigation belongs to the Municipality of Piuro (SO) and includes both the town and surrounding valley. It was affected by a dramatic landslide in 1618 that destroyed the entire village. Numerous challenges have been faced, caused both by the characteristics of the area and the processed data. The complexity of the case study turns out to be an excellent test bench for the employed technologies, providing the opportunity to precisely identify the needed direction to obtain future promising results.

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“…Studies by Khajavi et al and others [10,[15][16][17][18] have proved that LiDAR-surveyed data can be used to map geological structures under a forest cover in detail. Many investigations have focused on the use of DEMs generated by LiDAR surveying and mapping (hereafter referred to as LiDAR DEM) to interpret the geomorphic features of landslides [19][20][21][22][23][24] and to measure the attitudes of strata [25][26][27] and tracking fault traces [28][29][30][31][32], to improve the accuracy of geological maps. However, examples of comparisons of the results of conventional field surveying and mapping with interpretations based on LiDAR DEM, or with geological features that have been revealed by underground excavation, are scarce.…”

Section: Introductionmentioning

confidence: 99%

Application of Geological Mapping Using Airborne-Based LiDAR DEM to Tunnel Engineering: Example of Dongao Tunnel in Northeastern Taiwan

Wang

et al. 2021

Applied Sciences

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The use of digital elevation models (DEMs) that use airborne-based light detection and the ranging technique (airborne-based LiDAR) to understand large-scale geological structures has become important in geological surveying and mapping. Taking the Dongao Tunnel area in northeastern Taiwan as the study area, this study used the airborne-based LiDAR DEM and related value-added maps to interpret the topographic and geomorphic features of the area and identify locations for geological investigation. The characteristics of the rock mass were observed on-site and revealed by excavation of the highway tunnel in the study area; they were compared with the interpreted topographic and geomorphic features to determine the potential of using 1 m-resolution LiDAR DEM in geological surveys and in the evaluation of engineering characteristics of underground rock masses. The results of this study demonstrated that the DEM accurately captured geomorphic features: the strata composed of slate and schist had distinct appearances in both the clinometric map and the hillshade map; the locations of faults, lineaments, and drainage were consistent with those observed on-site, and the positions of these features were captured more accurately than those on conventional maps. Evident microrelief features, including the distribution of scarps, erosion gullies, and mini-drainage systems provide an effective basis for interpreting a deep-seated gravitational deformation slope and for an on-site inspection for validation. The use of high-resolution LiDAR DEM to interpret geomorphic features along with geological surveys provides a more comprehensive understanding of the survey area, supporting surveys and geological mapping, revealing the locations of potential slope failures, and enabling the assessment of tunnel engineering risks.

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Direct Measurements of Bedrock Incision Rates on the Surface of a Large Dip-slope Landslide by Multi-Period Airborne Laser Scanning DEMs

Cited by 11 publications

References 60 publications

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Integrated Laser Scanner Techniques to Produce High-Resolution DTM of Vegetated Territory

Application of Geological Mapping Using Airborne-Based LiDAR DEM to Tunnel Engineering: Example of Dongao Tunnel in Northeastern Taiwan

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