Monitoring 3D areal displacements by a new methodology and software using UAV photogrammetry

Hastaoğlu, Kemal Özgür; Gül, Yavuz; Poyraz, Fatih; Kara, Burak Can

doi:10.1016/j.jag.2019.101916

Cited by 28 publications

(25 citation statements)

References 21 publications

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“…Reflections from around mobile gravimetric sensors dedicated to density measurements are in progress (Limo-G system) (de Saint Jean 2008), with promising prospects for implementation on drones via microelectromechanical system (MEMS) technology (Middlemiss et al 2016). Thanks to this development, many UAVs platforms as hexacopter (Hastaoğlu et al 2019), quadcopter (Niethammer et al 2012;Cook 2017;Peternel et al 2017) and octocopter (e.g., Turner et al 2015;Lindner et al 2016) have been developed for science and civil applications (e.g., DJI Phantom and Mavic quadcopters are very famous). They can acquire a large number of high-spatial-resolution images, defined by their pixel size (0.03-0.08 m/pixel in Niethammer et al (2012); 0.02 m/pixel in Rossi et al (2018)) or ground sampling distance (GSD).…”

Section: Uavs Descriptionmentioning

confidence: 99%

“…1. image correlation of multi-temporal orthophotographs(Torrero et al 2015;Hastaoğlu et al 2019), 2. comparison of 3D point clouds(Stumpf et al 2015) based on automatic process of Cloud-to-cloud differences(Cook 2017;Eker et al 2018) and using an open-source algorithms such as the M3C2 algorithm, 3. by comparison of DEM (DEM of Difference, DoD)(Fernandez Galarreta et al 2015;Lindner et al 2016;Thiebes et al 2016;Rossi et al 2018).…”

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confidence: 99%

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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: Uavs Descriptionmentioning

confidence: 99%

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confidence: 99%

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

et al. 2020

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“…Descriptores: Vehículo aéreo no tripulado, subsidencia, ortomosaico, modelo digital de elevaciones, fotogrametría, monitoreo, Agisoft Meta Shape On the measure of land subsidence throughout DEM and orthomosaics using GPS and UAV Medición de asentamientos debido a la subsidencia regional a través del uso de GPS, VANT y análisis de DEM IntroductIon Currently, photogrammetry is a technique used in obtaining digital elevation, and orthomosaic models of areas from aerial images (Mills & McLeod, 2013). Although technology has potentially evolved to improve the results of this technique using tools based on terrestrial and remote sensors such as global positioning systems (GPS), total station, detection, and range of laser images (LiDAR), the synthetic aperture radar, and unmanned aerial vehicles (UAV), among others, the use of some of these continues to represent high costs in their use (Hastaoğlu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

On the measure of land subsidence throughout DEM and orthomosaics using GPS and UAV

Galeana-Pérez

Alegría

Medellin-Aguilar

2021

iit

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Today, topography is an essential part for the construction of civil works in Mexico and in the world, obtaining it has become a complicated task due to the large areas to be built, the difficult access that puts the integrity of individuals at risk; and the high requirement of personnel for the tasks. Currently, photogrammetry using unmanned aerial vehicles (UAV) has been potentiated due to the infinity of uses, autonomy and little demand for resources, to carry out tasks in short times. Furthermore, the topography was, until some years ago, quasi-static, however due to the alteration generated by human activities it has been transformed into a dynamic activity. This work presents the procedures to carry out a topographic survey in the Querétaro valley, in an area called “El Ensueño”, it has had a subsidence fault for years, and has been in constant movement, causing considerable damage to infrastructure. . The present study reveals for the first time an orthomosaic and a Digital Elevation Model (DEM) of the study site, for a survey with UAV it is necessary to use Ground Control Points (GCP), in order to correct the DEM by orthorectification of the images obtained during the flight by means of UAV. The results obtained show a total error in centimeters of 3.33 and image pixels in 0.311, both in the X, Y and Z space, which represent an acceptable error considering that the latter must be less than 0.6 pixels, so Therefore, the alignment of the images and measurement by GPS were performed correctly during the processing. Furthermore, the Digital Terrain Model (DTM) shows dramatic differences between one side and the other of the fault zone, which may indicate that this is a perfect tool to distinguish particular affected areas with a quick and more accurate method

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“…Extracting the slope deforming information can effectively predict and warn of landslides early [2]. Historically, various monitoring methods have been employed to measure the slope deformation, including geodesy [3], GPS [4], INSAR [5], 3D laser scanning [6] and digital photogrammetry [7,8]. However, the construction industry seeks a more intelligent but low-cost technology to achieve dynamic and high-accuracy monitoring.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Improvement of Binocular Vision Measurement System for Slope Deformation Monitoring

Feng

et al. 2020

Sensors

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This paper studies the limitations of binocular vision technology in monitoring accuracy. The factors affecting the surface displacement monitoring of the slope are analyzed mainly from system structure parameters and environment parameters. Based on the error analysis theory, the functional relationship between the structure parameters and the monitoring error is studied. The error distribution curve is obtained through laboratory testing and sensitivity analysis, and parameter selection criteria are proposed. Corresponding image optimization methods are designed according to the error distribution curve of the environment parameters, and a large number of tests proved that the methods effectively improved the measurement accuracy of slope deformation monitoring. Finally, the reliability and accuracy of the proposed system and method are verified by displacement measurement of a slope on site.

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Monitoring 3D areal displacements by a new methodology and software using UAV photogrammetry

Cited by 28 publications

References 21 publications

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

On the measure of land subsidence throughout DEM and orthomosaics using GPS and UAV

Accuracy Improvement of Binocular Vision Measurement System for Slope Deformation Monitoring

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