Experiences of using UAVs for monitoring levee breaches

Brauneck, Jens; Pohl, Radek; Juepner, Robert

doi:10.1088/1755-1315/46/1/012046

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…Nevertheless, the obtained orthophotograph and DEM (RMSE of 0.068 m) were precise enough to reveal structures not observed from a classical land-based visual inspection. Brauneck et al (2016) recorded the beginning and the evolution of a levee failure along the Elbe river (Germany), using a UAV-on-board video camera. Sets of images were extracted from five video frames and were processed into 4 DSMs, after masking their dynamic parts (flowing water areas).…”

Section: Monitoring Of Flood Protection Structuresmentioning

confidence: 99%

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

et al. 2020

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This article presents a review of the use of unmanned aerial vehicles (UAVs) in the context of geohazards. The pluri-disciplinary role of UAVs is outlined in numerous studies associated with mass earth movements, volcanology, flooding events and earthquakes. Scientific advances and innovations of several research teams around the world are presented from pre-events investigations to crisis management. More particularly, we emphasize the actual status of technology, methodologies and different applications that have emerged with the use of UAVs for each domain. It is shown that the deployment of UAVs in the geohazards context has experienced a tremendous increase during the last 10 years, with the development of more and more miniaturized, flexible and reliable systems. The use of such technology (UAV platform, instrumentation, methodologies) is different for each domain, depending on the spatial extent and the time scale of the observed phenomenon, but also on the practical constraints associated with the civil aviation agencies regulations (outside or within urban areas, before or during a crisis…). This paper also highlights the use of recent methodologies associated with semi-automatic/automatic segmentation or deep learning for the processing of important amounts of data provided by UAVs. Finally, although still sparse, the joint use of UAVs and satellite data is progressing and remains a challenge for future studies in the context of geohazards.

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Section: Monitoring Of Flood Protection Structuresmentioning

confidence: 99%

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

et al. 2020

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“…There, a levee failure near the village of Breitenhagen was recorded using a rotorcraft UAV, instructed on behalf of the State Service for Flood Protection and Water Management in Saxony-Anhalt, Germany. Using photogrammetric ranging methods, we were able to analyse the visual UAV-flight information and set up a hydrodynamic model of the breach flow, based on four different digital surface models with extrapolated breach widths from 9 to 40 meters (Brauneck et al, 2016). By means of these calculations, the flow rate through the breach has been determined.…”

Section: Manuscriptmentioning

confidence: 99%

Surface Flow Velocity Measurements From Uav-Based Videos

Brauneck

Gattung

Jüpner

2019

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

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Abstract. Most measuring methods for determining the volumetric flow rate or surface flow velocity have in common that they cannot be safely used under extreme outflow conditions. Especially in catastrophic situations, it is of particular interest to determine the amount of water that flows into the hinterland as precisely as possible in order to improve hydrodynamic models. Faulty assumptions lead to misleading calculations and may result in preventable casualties. As technical improvements throughout the last decade facilitated the widespread utilization of unmanned aerial vehicles (UAV) or remotely piloted aircraft systems (RPAS), these systems are now capable to collect and transmit precise information from remote areas to task forces immediately. The usage of a UAV is possible with minimal preparation at almost every place and is suitable for improving the database for a quick assessment of the status during a catastrophic event.In this work, the determination of surface flow velocity using unmanned aerial vehicles (UAV) and floating optical tracers is evaluated. It is also discussed, to what extent numerical methods are able to efficiently undistort and correct this data. Precision analysis of video data from field investigations was performed with R using three different approaches that calculated the true velocity of the floating objects. The results indicate similar degrees of precision for both advanced methods but calculating an ortho-corrected video is a timeconsuming process not suitable for nearly real-time applications.

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“…Most studies focus on Unmanned Aerial Vehicle (UAV) photogrammetry such as Tournade et al (2014), Brauneck et al (2016) or Hastaoğlu et al (2019) in order to monitor breakwaters. Recent work of Zhou et al (2019) even focuses on automatic metrology with UAV photogrammetry for such application.…”

Section: Introductionmentioning

confidence: 99%

Efficient Dike Monitoring Using Terrestrial SFM Photogrammetry

Froideval

Conessa²,

Bas³

et al. 2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Nature based solutions are growing rapidly in order to mitigate in the near future the effects of climate change and rise of sea level on most anthropogenic coasts. In that frame, the CHERbourg bLOC (CHERLOC) project aims to study new coastal engineering solutions (overtopping, sediment transport) thanks to two new artificial units in two test sites (Normandy, France) considering biodiversity preservation but also societal acceptability. This study details an efficient method to monitor such coastal infrastructure using terrestrial Structure from Motion (SfM). In 2021, surveys were conducted to acquire pictures in April, May, June and November. A time series of 3D photogrammetric models was generated using open source SfM software. The first model was georeferenced using Ground Control Points (GCP) measured by Differential Global Navigation Satellite System (DGNSS) so that it could be used as a reference for the following point clouds using surrounding ripraps assumed to be non-mobile through the period of the study. The georeferencing Root Mean Square Error (RMSE) was found to be 1.8 cm for the April model whereas RMSEs of relative registrations of the following dates were found to be sub-centimetric. These results can be used to observe and measure blocks displacements as well as sand volumes evolution throughout the time series. The biggest displacement was found to be 23 cm between April and June. Sand topographic variation shows a continuous accumulation on selected cross-sections between April and November with an overall height accumulation of about 30 cm. Sand volumes measurements show consistent results with an added volume of 3.67 m3 on the previous areas.

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Experiences of using UAVs for monitoring levee breaches

Cited by 5 publications

References 5 publications

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

Surface Flow Velocity Measurements From Uav-Based Videos

Efficient Dike Monitoring Using Terrestrial SFM Photogrammetry

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