3-D reconstruction of an abandoned montane reservoir using UAV photogrammetry, aerial LiDAR and field survey

Langhammer, Jakub; Jánský, Bohumír; Kocum, Jan; Minařík, Robert

doi:10.1016/j.apgeog.2018.07.001

Cited by 33 publications

(19 citation statements)

References 30 publications

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“…This has financial implications, but also environmental impacts, as reduced inputs lead to reduced negative impacts for the same output. Similarly, mining operations have used drones to remotely manage and optimise different elements of their production process ( Wendland and Boxnick, 2017 ), including monitoring stockpiles of ore and leeching pads for maintenance issues and analysing blast ore before its processing ( Bamford et al, 2017 ), accessing waterbodies in hazardous/remote locations to facilitate sampling for environmental management ( Banerjee et al, 2018 ; Langhammer et al, 2018 ) and imaging mines for rehabilitation ( Moudry et al, 2019 ). The construction industry uses drones in planning construction sites cheaper than other means (such as helicopters) and at lower risk to staff ( Abaffy and Sawyer, 2016 ; Li and Liu, 2019 ) and hazardous industrial plants use drones to monitor gas production ( Kovacs et al, 2019 ).…”

Section: Resultsmentioning

confidence: 99%

Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control

Merkert

Bushell

2020

Journal of Air Transport Management

174

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Commercial and private deployment of airborne drones is revolutionising many ecosystems. To identify critical issues and research gaps, our systematic literature review findings suggest that historic issues such as privacy, acceptance and security are increasingly replaced by operational considerations including interaction with and impacts on other airspace users. Recent incidents show that unrestricted drone use can inflict problems on other airspace users like airports and emergency services. Our review of current regulatory approaches shows a need for further policy and management response to both manage rapid and efficient drone usage growth, and facilitate innovation (e.g. intraurban package delivery), with one promising strategic response being low altitude airspace management (LAAM) systems for all drone use cases.

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Section: Resultsmentioning

confidence: 99%

Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control

Merkert

Bushell

2020

Journal of Air Transport Management

174

View full text Add to dashboard Cite

show abstract

“…Finally, it should be noted that many studies on bathymetric reconstruction of shallow streams and reservoirs proved that models derived from high resolution UAS data are more robust than previous models based on conventional methods, reducing inaccuracies and biases, and enabling better hydraulic modeling performance [63][64][65][66].…”

Section: Bathymetry and Submerged Topographymentioning

confidence: 99%

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

et al. 2021

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In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of hydrology, bridging the gap between traditional satellite observations and ground-based measurements and allowing the limitations of manned aircraft to be overcome. With unparalleled spatial and temporal resolutions and product-tailoring possibilities, UAS are contributing to the acquisition of large volumes of data on water bodies, submerged parameters and their interactions in different hydrological contexts and in inaccessible or hazardous locations. This paper provides a comprehensive review of 122 works on the applications of UASs in surface water and groundwater research with a purpose-oriented approach. Concretely, the review addresses: (i) the current applications of UAS in surface and groundwater studies, (ii) the type of platforms and sensors mainly used in these tasks, (iii) types of products generated from UAS-borne data, (iv) the associated advantages and limitations, and (v) knowledge gaps and future prospects of UASs application in hydrology. The first aim of this review is to serve as a reference or introductory document for all researchers and water managers who are interested in embracing this novel technology. The second aim is to unify in a single document all the possibilities, potential approaches and results obtained by different authors through the implementation of UASs.

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“…(4) safety inspection, where construction sites are frequently assessed according to safety standards [30,31]; (5) schedule monitoring, where the data (mainly visual data) collected by UAVs are used to monitor construction schedules [32,33]; and (6) other applications, which include building maintenance [34], 3D building reconstruction [35][36][37][38], material tracking, and air volume measurement [39]. Many studies have reported that UAVs improve work efficiency, reduce cost incurred, and increase convenience [40][41][42][43].…”

Section: Uavs For Building Deterioration Detection Currentlymentioning

confidence: 99%

Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance

Kung

Pan

Wang

et al. 2021

Advances in Civil Engineering

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Several natural and human factors are responsible for the defacement of the external walls and tiles of buildings, and the related deterioration can be a public safety hazard. Therefore, active building maintenance and repair processes are essential for ensuring building sustainability. However, conventional inspection methods are time-, cost-, and labor-intensive processes. Therefore, herein, this study proposes a convolutional neural network (CNN) model for image-based automated detection and localization of key building defects (efflorescence, spalling, cracking, and defacement). Based on a pretrained CNN VGG-16 classifier, this model applies class activation mapping for object localization. After identifying its limitations in real-life applications, this study determined the model’s robustness and ability to accurately detect and localize defects in the external wall tiles of buildings. For real-time detection and localization, this study applied this model by using mobile devices and drones. The results show that the application of deep learning with UAV can effectively detect various kinds of external wall defects and improve the detection efficiency.

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3-D reconstruction of an abandoned montane reservoir using UAV photogrammetry, aerial LiDAR and field survey

Cited by 33 publications

References 30 publications

Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control

Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance

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