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Monitoring topographic changes through 4D-structure-from-motion photogrammetry: application to a debris-flow channel

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Abstract

The study of fast geomorphic changes in mountain channels and hillslopes, driven by intense geomorphic processes, requires frequent and detailed topographic surveys. In the last two decades, high-resolution topography (HRT) has provided new opportunities in the Earth Sciences. These have benefited from important developments in surveying techniques, methods, sensors, and platforms. Between these, the application of structure-from-motion (SfM) photogrammetry has become a widely used method to acquire HRT and high-resolution orthomosaics at multiple temporal and spatial scales. SfM photogrammetry has revolutionized the possibility to collect multi-temporal HRT in rugged or inaccessible environments like that observed in debris-flow catchments. However, appropriate workflows incorporating survey planning, data acquisition, post-processing, and error and uncertainty assessment are required, especially when multi-temporal surveys are compared to study topographic changes through time. In this paper, we present a workflow to acquire and process HRT. The workflow was applied in a debris-flow channel of the Moscardo Torrent (Eastern Italian Alps). Due to the topographic complexity of the study area, the SfM surveys were carried out integrating photos obtained from an unmanned aerial vehicle and from the ground. This integration guarantees high data density and avoids shadows. Eight photogrammetric surveys were collected between December 2015 and August 2017. In this time interval, five debris flows occurred. The surveying and data processing procedure described in the workflow permitted to summarize and integrate all the analysis steps and helped to identify and minimize potential sources of error in the multi-temporal SfM data (what we consider here 4D). Our case study demonstrates how the developed workflow presented here allows studying the geomorphic effects of debris flows and check dams functionality in mountain environments.

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References

  • AgiSoft LLC (2010) Agisoft Lens User-Manual. Version 1.2.0. http://www.agisoft.com/downloads/user-manuals. Accessed 22 June 2017

  • Bemis SP, Micklethwaite S, Turner D, James MR, Akciz S, Thiele ST, Bangash HA (2014) Ground-based and UAV-based photogrammetry: a multi-scale, high-resolution map** tool for structural geology and paleoseismology. J Struct Geol 69:163–178

    Article  Google Scholar 

  • Berger C, McArdell B, Schlunegger F (2011) Sediment transfer pattern at Illgraben catchment, Switzerland: implications for the time of debris flow activities. Geomorphology 125:421–432

    Article  Google Scholar 

  • Blasone G, Cavalli M, Marchi L, Cazorzi F (2014) Monitoring sediment source areas in a debris-flow catchment using terrestrial laser scanning. Catena 123:23–36

    Article  Google Scholar 

  • Brasington J, Rumsby BT, McVey RA (2000) Monitoring and modelling morphological change in a braided gravel-bed river using high-resolution GPS-based survey. Earth Surf Process Landf 25:973–990

    Article  Google Scholar 

  • Brasington J, Langham J, Rumsby B (2003) Methodological sensitivity of morphometric estimates of coarse fluvial sediment transport. Geomorphology 53:299–316

    Article  Google Scholar 

  • Brasington J, Vericat D, Rychkov I (2012) Modeling riverbed morphology, roughness, and surface sedimentology using high-resolution terrestrial laser scanning. Water Resour Res 48:1–18

    Article  Google Scholar 

  • Carrivick JL, Smith MW, Quincey DJ (2016) Structure from motion in the geosciences. New analytical methods in earth and environmental science. Wiley-Blackwell, Oxford

    Book  Google Scholar 

  • Cavalli M, Marchi L (2008) Characterisation of the surface morphology of an alpine alluvial fan using airborne LiDAR. Nat Hazards Earth Syst Sci 8:323–333

    Article  Google Scholar 

  • Cavalli M, Goldin B, Comiti F, Brardinoni F, Marchi L (2017) Assessment of erosion and deposition in steep mountain basins by differencing sequential digital terrain models. Geomorphology 291:4–16

    Article  Google Scholar 

  • Clapuyt F, Vanacker V, Van Oost K (2016) Reproducibility of UAV-based earth topography reconstructions based on structure-from-motion algorithms. Geomorphology 260:4–15

    Article  Google Scholar 

  • Clapuyt F, Vanacker V, Schlunegger F, Van Oost K (2017) Unravelling earth flow dynamics with 3-D time series derived from UAV-SfM models. Earth Surf Dyn 5:791–806

    Article  Google Scholar 

  • Cook KL (2017) An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection. Geomorphology 278:195–208

    Article  Google Scholar 

  • Cucchiaro S, Cavalli M, Vericat D, Crema S, Llena M, Beinat A, Marchi L, Cazorzi F (2018a) Geomorphic effectiveness of check dams in a debris-flow catchment using multi-temporal topographic surveys. Catena (submitted, under review)

  • Cucchiaro S, Maset E, Fusiello A, Cazorzi F (2018b) 4D-SfM photogrammetry for monitoring sediment dynamics in a debris-flow catchment: software testing and results comparison. Int Arch Photogramm Remote Sens Spat Inf Sci XLII-2:281–288

    Article  Google Scholar 

  • Dietrich JT (2017) Bathymetric Structure-from-motion: extracting shallow stream bathymetry from multi-view stereo photogrammetry. Earth Surf Process Landf 42:355–364

    Article  Google Scholar 

  • Eker R, Aydın A, Hübl J (2018) Unmanned aerial vehicle (UAV)-based monitoring of a landslide: Gallenzerkogel landslide (Ybbs-Lower Austria) case study. Environ Monit Assess 190:28

    Article  Google Scholar 

  • Eltner A, Kaiser A, Castillo C, Rock G, Neugirg F, Abellán A (2016) Image-based surface reconstruction in geomorphometry-merits, limits and developments. Earth Surf Dyn 4:359–389

    Article  Google Scholar 

  • Fonstad MA, Dietrich JT, Courville BC, Jensen JL, Carbonneau PE (2013) Topographic structure from motion: a new development in photogrammetric measurement. Earth Surf Process Landf 38:421–430

    Article  Google Scholar 

  • Glendell M, McShane G, Farrow L, James MR, Quinton J, Anderson K, Evans M, Benaud P, Rawlins B, Morgan D, Jones L, Kirkham M, DeBell L, Quine TA, Lark M, Rickson J, Brazier RE (2017) Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. Earth Surf Process Landf 42:1860–1871

    Article  Google Scholar 

  • Granshaw SI (1980) Bundle adjustment methods in engineering photogrammetry. Photogramm Rec 10(56):181–207

    Article  Google Scholar 

  • Gruen A (2012) Development and Status of Image Matching in Photogrammetry. Photogramm Rec 27:36–57

    Article  Google Scholar 

  • Heritage GL, Milan DJ, Large ARG, Fuller IC (2009) Influence of survey strategy and interpolation model on DEM quality. Geomorphology 112:334–344

    Article  Google Scholar 

  • Immerzeel WW, Kraaijenbrink PDA, Shea JM, Shrestha AB, Pellicciotti F, Bierkens MFP, de Jong SM (2014) High-resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles. Remote Sens Environ 150:93–103

    Article  Google Scholar 

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

    Google Scholar 

  • James MR, Robson S (2014) Mitigating systematic error in topographic models derived from UAV and ground-based image networks. Earth Surf Process Landf 39:1413–1420

    Article  Google Scholar 

  • James MR, Varley N (2012) Identification of structural controls in an active lava dome with high resolution DEMs: Volcn de Colima, Mexico. Geophys Res Lett 39:1–5

    Article  Google Scholar 

  • James MR, Robson S, D’Oleire-Oltmanns S, Niethammer U (2017a) Optimising UAV topographic surveys processed with structure from-motion: ground control quality, quantity and bundle adjustment. Geomorphology 280:51–66

    Article  Google Scholar 

  • James MR, Robson S, Smith MW (2017b) 3-D uncertainty-based topographic change detection with structure-from-motion photogrammetry: precision maps for ground control and directly georeferenced surveys. Earth Surf Process Landf 42:1769–1788

    Article  Google Scholar 

  • Javernick L, Brasington J, Caruso B (2014) Modeling the topography of shallow braided rivers using structure-from-motion photogrammetry. Geomorphology 213:166–182

    Article  Google Scholar 

  • Jenness J (2013) DEM Surface Tools for ArcGIS (surface_area.exe). Jenness Enterprises. http://www.jennessent.com/arcgis/surface_area.htm. Accessed 12 Jan 2018

  • Koci J, Jarihani B, Leon JX, Sidle R, Wilkinson S, Bartley R (2017) Assessment of UAV and ground-based structure from motion with multi-view stereo photogrammetry in a gullied savanna catchment. ISPRS Int J Geo Inf 6:328

    Article  Google Scholar 

  • Lague D, Brodu N, Leroux J (2013) Accurate 3D comparison of complex topography with terrestrial laser scanner: application to the Rangitikei canyon (N-Z). ISPRS J Photogramm Remote Sens 82:10–26

    Article  Google Scholar 

  • Lane SN, Chandler JH (2003) The next generation of high quality topographic data for hydrology and geomorphology: new data sources, new applications and new problems. Earth Surf Process Landf 28:229–230

    Article  Google Scholar 

  • Lane SN, Westaway RM, Hicks DM (2003) Estimation of erosion and deposition volumes in a large, gravel-bed, braided river using synoptic remote sensing. Earth Surf Process Landf 28:249–271

    Article  Google Scholar 

  • Loye A, Jaboyedoff M, Theule J, Liébault F (2016) Headwater sediment dynamics in a debris flow catchment constrained by high-resolution topographic surveys. Earth Surf Dyn 4:489–513

    Article  Google Scholar 

  • Mallalieu J, Carrivick JL, Quincey DJ, Smith MW, James WHM (2017) An integrated Structure-from-Motion and time-lapse technique for quantifying ice-margin dynamics. J Glaciol 63:937–949

    Article  Google Scholar 

  • Mao L, Cavalli M, Comiti F, Marchi L, Lenzi MA, Arattano M (2009) Sediment transfer processes in two Alpine catchments of contrasting morphological settings. J Hydrol 364:88–98

    Article  Google Scholar 

  • Marcato G, Mantovani M, Pasuto A, Zabuski L, Borgatti L (2012) Monitoring, numerical modelling and hazard mitigation of the Moscardo landslide (Eastern Italian Alps). Eng Geol Integr Technol Landslide Monit Quant Hazard Assess 128:95–107

    Google Scholar 

  • Marchi L, Arattano M, Deganutti AM (2002) Ten years of debris-flow monitoring in the Moscardo Torrent (Italian Alps). Geomorphology 46:1–17

    Article  Google Scholar 

  • Marteau B, Vericat D, Gibbins C, Batalla RJ, Green DR (2017) Application of structure-from-motion photogrammetry to river restoration. Earth Surf Process Landf 42:503–515

    Article  Google Scholar 

  • Micheletti N, Chandler JH, Lane SN (2015a) Investigating the geomorphological potential of freely available and accessible structure-from-motion photogrammetry using a smartphone. Earth Surf Process Landf 40:473–486

    Article  Google Scholar 

  • Micheletti N, Chandler JH, Lane SN (2015b) Structure from motion (SfM) photogrammetry. In: Cook SJ, Clarke LE, Nield JM (eds) Geomorphological techniques. British Society for Geomorphology, London, pp 1–12

    Google Scholar 

  • Milan DJ, Heritage GL, Large ARG, Fuller IC (2011) Filtering spatial error from DEMs: implications for morphological change estimation. Geomorphology 125:160–171

    Article  Google Scholar 

  • Mosbrucker AR, Major JJ, Spicer KR, Pitlick J (2017) Camera system considerations for geomorphic applications of SfM photogrammetry. Earth Surf Process Landf 42:969–986

    Article  Google Scholar 

  • O’Connor J, Smith MJ, James MR (2017) Cameras and settings for aerial surveys in the geosciences: optimising image data. Progr Phys Geogr Earth Environ 41:325–344

    Article  Google Scholar 

  • Passalacqua P, Belmont P, Staley DM, Simley JD, Arrowsmith JR, Bode CA, Crosby C, DeLong SB, Glenn NF, Kelly SA, Lague D, Sangireddy H, Schaffrath K, Tarboton DG, Wasklewicz T, Wheaton JM (2015) Analyzing high-resolution topography for advancing the understanding of mass and energy transfer through landscapes: a review. Earth Sci Rev 148:174–193

    Article  Google Scholar 

  • Piermattei L, Carturan L, Guarnieri A (2015) Use of terrestrial photogrammetry based on structure-from-motion for mass balance estimation of a small glacier in the Italian Alps. Earth Surf Process Landf 40:1791–1802

    Article  Google Scholar 

  • Piermattei L, Karel W, Vettore A, Pfeifer N (2016) Panorama image sets for terrestrial photogrammetric surveys. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 3:159

    Article  Google Scholar 

  • Schürch P, Densmore AL, Rosser NJ, Lim M, Mcardell BW (2011) Detection of surface change in complex topography using terrestrial laser scanning: application to the Illgraben debris-flow channel. Earth Surf Process Landf 36:1847–1859

    Article  Google Scholar 

  • Shortis MR, Bellman CJ, Robson S, Johnston GJ, Johnson GW (2006) Stability of zoom and fixed lenses used with digital SLR cameras. Int Arch Photogramm Remote Sensing Spat Inf Sci 36:285–290

    Google Scholar 

  • Smith M, Vericat D (2015) From experimental plots to experimental landscapes: topography, erosion and deposition in sub-humid badlands from Structure-from-Motion photogrammetry. Earth Surf Process Landf 40:1656–1671

    Article  Google Scholar 

  • Smith MW, Carrivick JL, Hooke J, Kirkby MJ (2014) Reconstructing flash flood magnitudes using “structure-from-motion”: a rapid assessment tool. J Hydrol 519:1914–1927

    Article  Google Scholar 

  • Smith MW, Carrivick JL, Quincey DJ (2015) Structure from motion photogrammetry in physical geography. Prog Phys Geogr 40:247–275

    Article  Google Scholar 

  • Stöcker C, Eltner A, Karrasch P (2015) Measuring gullies by synergetic application of UAV and close range photogrammetry—a case study from Andalusia, Spain. Catena 132:1–11

    Article  Google Scholar 

  • Stumpf A, Malet JP, Allemand P, Pierrot-Deseilligny M, Skupinski G (2015) Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion. Geomorphology 231:130–145

    Article  Google Scholar 

  • Tarolli P (2014) High-resolution topography for understanding Earth surface processes: opportunities and challenges. Geomorphology 216:295–312

    Article  Google Scholar 

  • Tarolli P, Sofia G, Ellis E (2017) Map** the topographic fingerprints of humanity across earth. Eos. https://doi.org/10.1029/2017EO069637

    Article  Google Scholar 

  • Theule J, Liébault F, Laigle D, Loye A, Jaboyedoff M (2015) Channel scour and fill by debris flows and bedload transport. Geomorphology 243:92–105

    Article  Google Scholar 

  • Vericat D, Brasington J, Wheaton J, Cowie M (2009) Accuracy assessment of aerial photographs acquired using lighter-than-air blimps: low-cost tools for map** river corridors. River Res Appl 28:985–1000

    Article  Google Scholar 

  • Vericat D, Smith M, Brasington J (2014) Patterns of topographic change in sub-humid badlands determined by high-resolution multi-temporal topographic surveys. Catena 120:164–176

    Article  Google Scholar 

  • Vericat D, Wheaton JM, Brasington J (2017) Revisiting the morphological approach: opportunities and challenges with repeat high-resolution topography. In: Tsutsumi D, Laronne JB (eds) Gravel-bed rivers: processes and disasters, 1st edn. Wiley, Oxford, pp 121–158

    Google Scholar 

  • Victoriano A, Brasington J, Guinau M, Furdada G, Cabré M, Moysset M (2018) Geomorphic impact and assessment of flexible barriers using multi-temporal LiDAR data: the Portainé mountain catchment (Pyrenees). Eng Geol 237:168–180

    Article  Google Scholar 

  • Westoby MJ, Brasington J, Glasser NF (2012) ‘Structure-from-motion’ photogrammetry: a low-cost, effective tool for geoscience applications. Geomorphology 179:300–314

    Article  Google Scholar 

  • Wheaton JM, Brasington J, Darby SE, Sear DA (2010) Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets. Earth Surf Process Landf 35:136–156

    Google Scholar 

  • Williams JG, Rosser NJ, Hardy RJ, Brain MJ, Afana AA (2018) Optimising 4-D surface change detection: an approach for capturing rockfall magnitude-frequency. Earth Surf Dyn 6:101–119

    Article  Google Scholar 

  • Woodget AS, Carbonneau PE, Visser F, Maddock IP (2015) Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surf Process Landf 40:47–64

    Article  Google Scholar 

  • Wulder MA, Coops NC (2014) Make Earth observations open access: freely available satellite imagery will improve science and environmental-monitoring products. Nature 513(7516):30

    Article  Google Scholar 

  • Zhang Z (1992) Iterative point matching for registration of free-form curves. Int J Comput Vis 13:119–152

    Article  Google Scholar 

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Acknowledgements

The authors acknowledge the support of the Connecteur Cost Action (ES 1306) that granted the Short Term Scientific Mission entitled “The effects of torrent control works on sediment connectivity in a debris-flow catchment using digital photogrammetry and the index of connectivity” of Sara Cucchiaro at the University of Lleida (Spain). This work has also benefited from the methodological developments obtained in the research projects MorphSed (CGL2012-36394, http://www.morphsed.es) and MorphPeak (CGL2016-78874-R), funded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund Scheme. The authors acknowledge the support from the Economy and Knowledge Department of the Catalan Government through the Consolidated Research Group (RIUS 2017 SGR 459) and CERCA Program. We would also like to thank Aleix Calsamiglia at the University of the Balearic Islands for hel** in initial field surveys. The authors thank the guest editor, Sebastiano Trevisani, and the two anonymous referees for providing useful comments that greatly improved the quality of the paper.

Funding

Manel Llena was supported by the Spanish Ministry of Education Culture and Sports (FPU014/01687); Damià Vericat was beneficiary of a Ramón y Cajal Fellowship funded by the Spanish Ministry of Economy, Industry and Competitiveness (RYC-2010-06264) when this manuscript was prepared.

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Correspondence to Sara Cucchiaro or Federico Cazorzi.

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This article is part of a Topical Collection in Environmental Earth Sciences on “Learning from spatial data: unveiling the geo-environment through quantitative approaches”, guest edited by Sebastiano Trevisani, Marco Cavalli, Jean Golay, and Paulo Pereira.

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Cucchiaro, S., Cavalli, M., Vericat, D. et al. Monitoring topographic changes through 4D-structure-from-motion photogrammetry: application to a debris-flow channel. Environ Earth Sci 77, 632 (2018). https://doi.org/10.1007/s12665-018-7817-4

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