Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas

Nappo, Nicoletta; Mavrouli, Olga; Nex, Francesco; Westen, C.J. van; Gambillara, Roberto; Michetti, Alessandro Maria

doi:10.1016/j.enggeo.2021.106363

Cited by 48 publications

(32 citation statements)

References 90 publications

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“…The ability of UAVs to capture high-resolution images with considerable overlap allows dense and accurate road CI 22,3 models to be reconstructed. Such a road model represents a variety of road features, including road boundaries, potholes and road surface roughness, which can be detected by filtering and estimating the international roughness index (Prosser-Contreras et al, 2020;Nappo et al, 2021). The ground sample distances (GSDs) of camera systems, ground altitude and image wrap rate have also been reported (Tan and Li, 2019;Chio and Chiang, 2020;Mukti and Nizam, 2021).…”

Section: Unmanned Aerial Vehicles Photogrammetry-based Road Surface M...mentioning

confidence: 99%

“…The application of photogrammetry using unmanned aerial vehicles (UAVs) to detect distressed or damaged road surfaces for management purposes has been used increasingly in recent years (Zhang, 2008; Outay et al , 2020; Cardenal et al , 2019; Nappo et al , 2021). Compared with airborne laser scanning surveys and ground data mapping by MMS, photogrammetry with UAVs has the advantages of high flexibility, low cost and easy maneuverability and is a fascinating new choice for monitoring the condition of roads.…”

Section: Related Workmentioning

confidence: 99%

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Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Taniguchi

Kubota

Yasumuro

2022

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Purpose The purpose of this study is to propose a method for vulnerable pedestrians to visualize potential obstacles on sidewalks. In recent years, the number of vulnerable pedestrians has been increasing as Japanese society has aged. The number of wheelchair users is also expected to increase in the future. Currently, barrier-free maps and street-view applications can be used by wheelchair users to check possible routes and the surroundings of their destinations in advance. However, identifying physical barriers that pose a threat to vulnerable pedestrians en route is often difficult. Design/methodology/approach This study uses photogrammetry to create a digital twin of the three-dimensional (3D) geometry of the existing walking space by collecting photographic images taken on sidewalks. This approach allows for the creation of high-resolution digital elevation models of the entire physical sidewalk surface from which physical barriers such as local gradients and height differences can be detected by uniform image filtering. The method can be used with a Web-based data visualization tool in a geographical information system, permitting first-person views of the ground and accurate geolocation of the barriers on the map. Findings The findings of this study showed that capturing the road surface with a small wide-angle camera while walking is sufficient for recording subtle 3D undulations in the road surface. The method used for capturing data and the precision of the 3D restoration results are described. Originality/value The proposed approach demonstrates the significant benefits of creating a digital twin of walking space using photogrammetry as a cost-effective means of balancing the acquisition of 3D data that is sufficiently accurate to show the detailed geometric features needed to navigate a walking space safely. Further, the findings showed how information can be provided directly to users through two-dimensional (2D) and 3D Web-based visualizations.

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Section: Unmanned Aerial Vehicles Photogrammetry-based Road Surface M...mentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Taniguchi

Kubota

Yasumuro

2022

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“…[3][4][5][6] mentioned the importance of UAV techniques in monitoring early landslide phenomena. The authors of [53] (pp. [10][11][12][13][14][15][16] deployed UAV techniques combined with space-borne InSAR data to detect potential early landslide phenomena (cracks) on infrastructures.…”

Section: Early Landslide Phenomena and Detection Techniques-uav Photo...mentioning

confidence: 99%

Detecting and Monitoring Early Post-Fire Sliding Phenomena Using UAV–SfM Photogrammetry and t-LiDAR-Derived Point Clouds

Deligiannakis

Pallikarakis

Papanikolaou

et al. 2021

Fire

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Soil changes, including landslides and erosion, are some of the most prominent post-fire effects in Mediterranean ecosystems. Landslide detection and monitoring play an essential role in mitigation measures. We tested two different methodologies in five burned sites with different characteristics in Central Greece. We compared Unmanned Aerial Vehicles (UAV)-derived high-resolution Digital Surface Models and point clouds with terrestrial Light Detection and Ranging (LiDAR)-derived point clouds to reveal new cracks and monitor scarps of pre-existing landslides. New cracks and scarps were revealed at two sites after the wildfire, measuring up to 27 m in length and up to 25 ± 5 cm in depth. Pre-existing scarps in both Kechries sites appeared to be active, with additional vertical displacements ranging from 5–15 ± 5 cm. In addition, the pre-existing landslide in Magoula expanded by 8%. Due to vegetation regrowth, no changes could be detected in the Agios Stefanos pre-existing landslide. This high-spatial-resolution mapping of slope deformations can be used as landslide precursor, assisting prevention measures. Considering the lack of vegetation after wildfires, UAV photogrammetry has great potential for tracing such early landslide indicators and is more efficient for accurately recording soil changes.

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“…In the last two decades, airborne and satellite techniques have been increasingly used to characterize the surface morphology and monitor surface changes in landslides (Baum et al, 1998; Booth et al, 2020; Lacroix et al, 2018; Stumpf et al, 2014; Wasowski & Bovenga, 2022). Developments of high‐resolution digital elevation models (DEMs) make it possible to calculate and follow various attributes of the morphology such as slope, roughness and curvature for landslide characterization and monitoring (e.g., Bonetti & Porporato, 2017; Goetz et al, 2014; Hurst et al, 2013; McKean & Roering, 2004; Nappo et al, 2021; Pawluszek et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…These UAVs can be equipped with high‐resolution cameras and/or LiDAR scanners and have demonstrated their ability to provide high‐resolution images and DEMs with centimetric resolution on potentially hard‐to‐reach areas such as landslides (Eker et al, 2017; Lucieer et al, 2014). Bridging the gap between terrestrial and satellite observations, this flexible technique seems well suited to accurately monitoring surface and morphological changes at the landslide or drainage basin scale (Nappo et al, 2021; Niethammer et al, 2012; Samodra et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Study of clay degradation in an earthslide combining OBIA and roughness analysis of UAV‐based optical images

Fiolleau

Jongmans

Bièvre

et al. 2022

Earth Surf Processes Landf

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Flow-like landslides in clay slopes pose major threats to people and infrastructure, which has led to numerous studies in recent decades. However, the mechanisms leading to the solid-fluid transition in clay are still poorly understood, despite numerous studies on its rheological evolution. The aim of this study is to contribute to quantify the degradation of clay at the surface of the Harmalière landslide (French Alps) from the analysis of a series of three unmanned aerial vehicle (UAV) acquisitions. Two approaches were combined to process the acquired optical images. First, image classification was performed applying object-based image analysis (OBIA) to the red, green and blue (RGB) and surface roughness layers. Second, deeper analysis of the surface roughness allows to describe the morphology evolution and to interpret the degradation scheme from undegraded clay to degraded clay.The study shows that the applied methodology is appropriate to perform a thorough analysis of the material degradation pattern on the surface of a landslide. The temporal analysis shows an average degradation rate leading to the complete degradation of a block in about 2 years. Meanwhile, a spatial analysis shows that non-degraded clays degrade faster in the lower part of the study area, reactivated 30 years ago, than in the upper part, reactivated only a few years ago. In addition, roughness analyses enabled to highlight the evolution of the morphology during the degradation process of the clay blocks, from angular blocks to mounds.

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Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas

Cited by 48 publications

References 90 publications

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Detecting and Monitoring Early Post-Fire Sliding Phenomena Using UAV–SfM Photogrammetry and t-LiDAR-Derived Point Clouds

Study of clay degradation in an earthslide combining OBIA and roughness analysis of UAV‐based optical images

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