Ice-cored moraine degradation mapped and quantified using an unmanned aerial vehicle: A case study from a polythermal glacier in Svalbard

Tonkin, Toby N.; Midgley, Nicholas G.; Cook, Simon J.; Graham, David J.

doi:10.1016/j.geomorph.2015.12.019

Cited by 85 publications

(89 citation statements)

References 62 publications

(60 reference statements)

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“…The potential to produce a high quality survey with excellent reproducibility is a key requirement for studies using topographic data to assess change within a given environment (e.g., [3,6,12,13,28]), thus error from the georeferencing stage of the SfM-MVS workflow requires consideration. Primarily, if the GCPs are surveyed with a high error, it will undermine UAV-SfM survey reproducibility.…”

Section: Discussionmentioning

confidence: 99%

“…SfM-MVS allows for the rapid reconstruction of surface geometry from sufficiently overlapping imagery without the need for camera position or orientation data. A range of scientific disciplines now use an integrated approach combining the use of UAV with SfM-MVS photogrammetry (e.g., [12][13][14][15]). Validation of the SfM-MVS approach has been undertaken (e.g., [8,[16][17][18][19]).…”

Section: Introductionmentioning

confidence: 99%

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Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry

2016

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Abstract:The use of small UAV (Unmanned Aerial Vehicle) and Structure-from-Motion (SfM) with Multi-View Stereopsis (MVS) for acquiring survey datasets is now commonplace, however, aspects of the SfM-MVS workflow require further validation. This work aims to provide guidance for scientists seeking to adopt this aerial survey method by investigating aerial survey data quality in relation to the application of ground control points (GCPs) at a site of undulating topography (Ennerdale, Lake District, UK). Sixteen digital surface models (DSMs) were produced from a UAV survey using a varying number of GCPs (3-101). These DSMs were compared to 530 dGPS spot heights to calculate vertical error. All DSMs produced reasonable surface reconstructions (vertical root-mean-square-error (RMSE) of <0.2 m), however, an improvement in DSM quality was found where four or more GCPs (up to 101 GCPs) were applied, with errors falling to within the suggested point quality range of the survey equipment used for GCP acquisition (e.g., vertical RMSE of <0.09 m). The influence of a poor GCP distribution was also investigated by producing a DSM using an evenly distributed network of GCPs, and comparing it to a DSM produced using a clustered network of GCPs. The results accord with existing findings, where vertical error was found to increase with distance from the GCP cluster. Specifically vertical error and distance to the nearest GCP followed a strong polynomial trend (R 2 = 0.792). These findings contribute to our understanding of the sources of error when conducting a UAV-SfM survey and provide guidance on the collection of GCPs. Evidence-driven UAV-SfM survey designs are essential for practitioners seeking reproducible, high quality topographic datasets for detecting surface change.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry

2016

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“…This data along with SfM-MVS has been applied for the diachronic reconstruction of geomorphological landscape evolution (Gomez et al 2015), active volcanic areas (Gomez 2014;Ishiguro et al 2016), glaciological monitoring (Kjeldsen et al 2015Midgley and Tonkin 2017) and erosion in river changes (Tonkin et al 2016). Recently, different multitemporal landslide mapping and monitoring by means of the SfM approach was made, using the multi-sensor drone to capture the scene with RGB aerial images in high-resolution (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…By means of a redundant iterative bundle adjustment procedure, the SfM approach extracts information to solve the geometry of the scene, the camera parameters and the orientation for each set of photographs (Snavely et al 2008), dramatically reducing the number of unknowns during the alignment procedure. The 3D Points Cloud (3DPC) represents the geometry/ structure of the scene that is generated by applying the SfM approach to the overlapped area between at least two images (Hartley and Zisserman 2003;Szeliski 2010;Fisher et al 2013) in local coordinates. The input of several Ground Control Points (GCPs; points with known object-space coordinates in a system chosen by the operator) and Tie Points (points without coordinates; useful to better correlate the photographs and limit the distortion between them) allows georeferencing the 3DPC to a specific coordinate system.…”

Section: D Reconstruction Of Historical Aerial Photographsmentioning

confidence: 99%

Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

et al. 2018

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Landslides are one of the most relevant geohazards worldwide, causing direct and indirect costs and fatalities. Italy is one of the countries most affected by mass movements, and the Molise region, southern Italy, is known to be susceptible to erosional processes and landslides. In January 2003, a landslide in the municipality of Agnone, in the Colle Lapponi-Piano Ovetta (CL-PO) territory, occurred causing substantial damage to both structures and civil infrastructure. To investigate the evolution of the landslide-affected catchment over approximately one century, different data were taken into account: (i) literature information at the beginning of the twentieth century; (ii) historical sets of aerial optical photographs to analyse the geomorphological evolution from 1945 to 2003; (iii) SAR (Synthetic Aperture Radar) data from the ERS1/2, ENVISAT and COSMO-SkyMed satellites to monitor the displacement from 1992 to 2015; (iv) traditional measurements carried out through geological and geomorphological surveys, inclinometers and GPS campaigns to characterize the geological setting of the area; and (v) recent optical photographs of the catchment area to determine the enlargement of the landslide. Using the structure from motion technique, a 3D reconstruction of each set of historical aerial photographs was made to investigate the geomorphological evolution and to trace the boundary of the mass movements. As a result, the combination of multitemporal and multitechnique analysis of the evolution of the CL-PO landslide enabled an assessment of the landslide expansion, which resulted in a maximum length of up to approximately 1500 m. A complete investigation of the past and present deformational sequences of the area was performed to potentially plan further mitigation and prevention strategies to avoid possible reactivations.

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“…Several interesting and useful examples from different research areas (some among many examples are Gimenez et al 2009;Niethammer et al 2010;James and Varley, 2012;Skarlatos and Kiparissi, 2012;Calakli et al 2012;Tuffen et al 2013;Bemis et al 2014;Forte, 2014;Bennet, 2015;Burns et al 2015;Haukaas, 2015;Shahbazi et al 2015;Van Damme, 2015;Vepakomma et al 2015;Tonkin et al 2016) are shaping, contributing and defining the limitations of the new modelling technique. James and Robson (2012) demonstrated the application of SfM-MVS modelling from decimeter to kilometer scale and presented a thorough discussion on the precision of the method.…”

Section: Introductionmentioning

confidence: 99%

3D Multi-view Stereo Modelling of an Open Mine Pit Using a Lightweight UAV

Ulusoy¹,

Şen²,

Tuncer³

et al. 2017

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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Digital elevation models have been evolved in decades, their resolution and accuracy have improved vividly. Geological, structural and geomorphological benefits of those high-quality digital elevation models enhanced the quality of the research and engineering and unfold the visibility of the data. Modern techniques such as laser scanners provide a quantum leap on digital modelling, however the cost of those methods limits their widespread usage. Improvements in stereo-photogrammetry did not decelerate. On the contrary, the evolution of Structure from Motion-Multi-view stereo-photogrammetry (SfM-MVS) method is accelerated by the continuous developments in digital photography and computer vision technologies. We have used a lightweight drone to acquire digital aerial photographs of an open mine pit for an ultimate purpose of modelling the terrain using SfM-MVS procedure. We have been able to derive a high resolution (0.3 m/pixel) DEM and a very high resolution (0.04 m/pixel) orthorectified aerial image. Both datasets are representing the topography with high sample point densities. Elevation model dataset has been compared with the regular topographic point measurements of the mine pit and the accuracy of the aerially derived model have been investigated. Sources of modelling errors, the effect of temporal physical changes in the terrain, effect and importance of geo-referencing have been discussed in detail. SfM-MVS is a cost-effective, rapid and promising technique for digital mapping, modelling and monitoring in various spatial scales of Geology.

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Ice-cored moraine degradation mapped and quantified using an unmanned aerial vehicle: A case study from a polythermal glacier in Svalbard

Cited by 85 publications

References 62 publications

Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry

Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry

Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

3D Multi-view Stereo Modelling of an Open Mine Pit Using a Lightweight UAV

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