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Pinden Quarry, Dartford

 

"Hi Peter, brilliant! Very impressive. No problem at all with you using.

Michael"

Michael Bishop, Manager at Pinden

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Ability to closely monitor like never before

 

Monitoring coastal erosion with drones provides fast, efficient and comparable data that is easily viewed and understood. 

Ability to closely monitor like never before

 

Monitoring coastal erosion with drones provides fast, efficient and comparable data that is easily viewed and understood. 

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Cost effective erosion monitoring

 

Meridian is undertaking trials to determine the most cost-effective way (in the context of its own operations) of monitoring coastal erosion. The table below is illustrative as the actual analysis is far more complex than that shown. But it does give some orders of magnitude that will be recognisable by those familiar with this field.

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There is a very good paper on the subject written by Matt Westoby of Northumbria University which contains a comparison table of the various systems available.

Abstract:

"Structure-from-motion with multi-view stereo (SfM-MVS) methods hold the potential for monitoring and quan-tifying cliff erosion to levels of accuracy and precision which rival terrestrial laser scanning (TLS) and at a fraction of the cost..." (Westoby et al, 2018).

References

Abellán et al., 2014; A. Abellán, T. Oppikofer, M. Jaboyedoff, N.J. Rosser, M. Lim, M.J. Lato; Terrestrial laser scanning of rock slope instabilities: Earth Surf. Process. Landforms, 39 (2014), pp. 80-97

Agisoft (2016); Google Scholar: Baily and Nowell, 1996; B. Baily, D. Nowell; Techniques for monitoring coastal change: a review and case study.

Baily and Nowell, 1996; B. Baily, D. Nowell; Techniques for monitoring coastal change: a review and case study: Ocean Coast Manag., 32 (2) (1996), pp. 85-95.

Bray and Hooke, 1997; M.J. Bray, J.M. Hooke; Prediction of soft-cliff retreat with accelerating sea-level rise: J. Coast Res., 13 (2) (1997), pp. 453-467.

Brunier et al., 2016; G. Brunier, J. Fleury, E.J. Anthony, A. Gardel, P. Dussouillez; Close-range Structure-from-Motion photogrammetry from high-resolution beach morphometric surveys: examples from an embayed rotating beach: Geomorphology, 261 (2016), pp. 76-88.

Carbonneau and Dietrich, 2016; P.E. Carbonneau, J.T. Dietrich; Cost-effective non-metric photogrammetry from consumer-grade sUAS: implications for direct georeferencing of structure from motion photogrammetry: Earth Surface Processes and Landform (2016).

Carrivick et al., 2016; J.L. Carrivick, M.W. Smith, D.J. Quincey; Structure from Motion in the Geosciences: Wiley-Blackwell, London (2016); Google Scholar

Casella et al., 2016; E. Casella, A. Rovere, A. Pedronicini, C.P. Startk, M. Casella, M. Ferrari, M. Firpo; Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean): Geo Mar. Lett., 36 (2) (2016), pp. 151-163.

Dewez, 2004; T.J.B. Dewez; Reconstructing 3D coastal cliffs from airborne oblique photographs without ground control points, ISPRS Annals of the Photogrammetry: Rem. Sens. Spatial Inf. Sci., II (5) (2004); 4 pp.

Dewez et al., 2016; T.J.B. Dewez, J. Leroux, S. Morelli; Cliff collapse hazard from repeated multicopter UAV acquisitions: return on experience, ISPRS Annals of the Photogrammetry: Rem. Sens. Spatial Inf. Sci., II (5) (2016); 7pp.

Dornbusch et al., 2008; W. Dornbusch, D.A. Robinson, C.A. Moses, R.B.G. Williams; Temporal and spatial variations of chalk cliff retreat in East Sussex, 1873-2001: Geomorphology, 249 (2008), pp. 271-282.

Earlie et al., 2015; C.S. Earlie, G. Masselink, P.E. Russell, R.K. Shail; Application of airborne LiDAR to investigate rates of recession in rocky coast environments: J. Coast Conserv., 19 (6) (2015), pp. 831-845.

Environment Agency, 2009; Environment Agency; Shoreline management plans (SMPs). Flooding and coastal change policy paper: Available; https://www.gov.uk/government/publications/shoreline-management-plans-smps (2009)

Feagin et al., 2014; R.A. Feagin, A.M. Williams, S. Popescu, J. Stukey, R.A. Washington-Allen; The use of terrestrial laser scanning (TLS) in dune ecosystems: the lessons learned: J. Coast Res., 30 (1) (2014), pp. 111-119.

Frahm et al., 2013; J.-M. Frahm, J. Heinly, E. Zheng, E. Dunn, P. Fite-Georgel, M. Pollefeys; Geo-registered 3D models from crowdsourced image collections: Geo-spatial Info. Sci., 16 (1) (2013), pp. 55-60.

Gonçalves and Henriques, 2015; J.A. Gonçalves, R. Henriques; UAV photogrammetry for topographic monitoring of coastal areas: ISPRS J. Photogrammetry Remote Sens., 104 (2015), pp. 101-111.

Harwin and Lucieer, 2012; S. Harwin, A. Lucieer; Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery: Rem. Sens., 4 (2012), pp. 1573-1599; CrossRefView Record in ScopusGoogle Scholar

James and Robson, 2012; M.R. James, S. Robson; Straightforward reconstruction of 3D surfaces and topography with a camera: accuracy and geoscience application: J. Geophys. Res., 117 (2012); F03017.

James and Robson, 2014; M.R. James, S. Robson; Mitigating systematic error in topographic models derived from UAV and ground-based image network: Earth Surf. Process. Landforms, 39 (2014), pp. 1413-1420.
James et al., 2017a; M.R. James, S. Robson, S. d'Oleire-Oltmanns, U. Niethammer; Optimising UAV topographic surveys processed with structure-from-motion: ground control quality, quantity and bundle adjustment: Geomorphology, 280 (2017), pp. 51-66.
Lague et al., 2013; D. Lague, N. Brodu, J. Leroux; Accurate 3D comparison of complex topography with terrestrial laser scanner: application to Rangitikei canyon (NZ): ISPRS J. Photogrammetry Remote Sens., 82 (2013), pp. 10-26.
Lim et al., 2005; M. Lim, D.N. Petley, N.J. Rosser, R.J. Allison, A.J. Long, D. Pybus; Combined digital photogrammetry and time-of-flight laser scanning for monitoring cliff evolution: Photogramm. Rec., 20 (2005), pp. 109-129.
Mancini et al., 2013; F. Mancini, M. Dubbini, M. Gattelli, F. Stecchi, S. Fabbri, G. Gabbianelli; Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: the Structure-from-Motion approach on coastal environments: Rem. Sens., 5 (12) (2013), pp. 6880-6898.
Moore, 2000; L.J. Moore; Shoreline mapping techniques: J. Coast Res., 16 (1) (2000), pp. 111-124.
Pye and Blott, 2016; K. Pye, S.J. Blott; Assessment of beach and dune erosion and accretion using LiDAR: impact of the stormy 2013-14 winter and longer term trends on the Sefton Coast, UK: Geomorphology, 266 (2016), pp. 146-167.
Rosser et al., 2005; N.J. Rosser, D.N. Petley, M. Lim, S.A. Dunning, R.J. Allison; Terrestrial laser scanning for monitoring the process of hard rock coastal cliff erosion: Q. J. Eng. Geol. Hydrogeol., 38 (2005), pp. 363-375.
Rosser et al., 2007; N.J. Rosser, M. Lim, D.N. Petley, S.A. Dunning, R.J. Allison; Patterns of precursory rock fall prior to slope failure: J. Geophys. Res.: Earth Surface, 112 (2007); F04014.
Snavely et al., 2008; N. Snavely, S.N. Seitz, R. Szeliski; Modeling the world from photo collections: Int. J. Comput. Vis., 80 (2008), pp. 189-210.
Turner et al., 2016; I.L. Turner, M.D. Harley, C.D. Drummond; UAVs for coastal surveying: Coast Eng., 114 (2016), pp. 19-24.
Westoby et al., 2012; M.J. Westoby, J. Brasington, N.F. Glasser, M.J. Hambrey, J.M. Reynolds; ‘Structure-from-Motion’ photogrammetry: a low-cost, effective tool for geoscience applications: Geomorphology, 179 (2012), pp. 300-314.

Westoby, 2018; Cost-effective erosion monitoring of coastal cliffs, Coastal Engineering, Volume 138, August 2018, Pages 152-164; Matthew J.Westoby, Michael Lim, Michelle Hoggc, Matthew  Pounda, Lesley Dunlopa, John Woodward

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