Accuracy assessment of digital surface models from Unmanned Aerial Vehicles' imagery on glaciers

Remote Sensing

Volumn 9, Issue 2, 2017, Pages

  Gindraux, Saskia ^a   Boesch, Ruedi ^a   Farinotti, Daniel ^a,b  

^a SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

Accuracy assessment; Digital surface models; Glacier; UAV photogrammetry; Unmanned aerial vehicle

Indexed keywords

AERIAL PHOTOGRAPHY; CRASHWORTHINESS; GLACIERS; PHOTOGRAMMETRY; ROCK MECHANICS; SNOW; SURVEYS; VEHICLES;

ACCURACY ASSESSMENT; CROSS VALIDATION; DERIVED PRODUCTS; DIGITAL SURFACE MODELS; GCP DISTRIBUTIONS; GLACIER MOTIONS; GROUND CONTROL POINTS; SURFACE TEXTURES;

UNMANNED AERIAL VEHICLES (UAV);

EID: 85013628206     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9020186     Document Type: Article

References (52)

1. Grenzdörffer, G.J.; Engel, A.; Teichert, B. The photogrammetric potential of low-cost UAVs in forestry and agriculture. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2008, 31, 1207-1214.
2. Costa, F.G.; Ueyama, J.; Braun, T.; Pessin, G.; Osório, F.S.; Vargas, P.A. The use of unmanned aerial vehicles and wireless sensor network in agricultural applications. In Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22-27 July 2012; pp. 5045-5048.
3. Sauerbier, M.; Eisenbeiss, H. UAVs for the documentation of archaeological excavations. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2010, 38, 526-531.
4. Chiabrando, F.; Nex, F.; Piatti, D.; Rinaudo, F. UAV and RPV systems for photogrammetric surveys in archaelogical areas: Two tests in the Piedmont region (Italy). J. Archaeol. Sci. 2011, 38, 697-710.
5. Lucieer, A.; Robinson, S.; Turner, D.; Harwin, S.; Kelcey, J. Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2012, 39, 429-433.
6. Anderson, K.; Gaston, K.J. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Front. Ecol. Environ. 2013, 11, 138-146.
7. DeBell, L.; Anderson, K.; Brazier, R.; King, N.; Jones, L. Water resource management at catchment scales using lightweight UAVs: Current capabilities and future perspectives. J. Unmanned Veh. Syst. 2016, 4, 7-30.
8. Hoffmann, H.; Nieto, H.; Jensen, R.; Guzinski, R.; Zarco-Tejada, P.; Friborg, T. Estimating evaporation with thermal UAV data and two-source energy balance models. Hydrol. Earth Syst. Sci. 2016, 20, 697-713.
9. Colomina, I.; Molina, P. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2014, 92, 79-97.
10. Whitehead, K.; Hugenholtz, C.H. Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: A review of progress and challenges 1. J. Unmanned Veh. Syst. 2014, 2, 69-85.
11. Nex, F.; Remondino, F. UAV for 3D mapping applications: A review. Appl. Geomat. 2014, 6, 1-15.
12. Fugazza, D.; Senese, A.; Azzoni, R.S.; Smiraglia, C.; Cernuschi, M.; Severi, D.; Diolaiuti, G.A. High resolution mapping of glacier surface features. The UAV survey of the Forni Glacier (Stelvio National Park, Italy). Geogr. Fisica E Din. Quat. 2015, 38, 25-33.
13. Kraaijenbrink, P.; Shea, J.; Pellicciotti, F.; Jong, S.d.; Immerzeel, W. Object-based analysis of unmanned aerial vehicle imagery to map and characterise surface features on a debris-covered glacier. Remote Sens. Environ. 2016, 186, 581-595.
14. d'Oleire Oltmanns, S.; Marzolff, I.; Peter, K.; Ries, J. Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco. Remote Sens. 2012, 4, 3390-3416.
15. Mancini, F.; Dubbini, M.; Gattelli, M.; Stecchi, F.; Fabbri, S.; Gabbianelli, G. Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments. Remote Sens. 2013, 5, 6880-6898.
16. Baltsavias, E.P.; Favey, E.; Bauder, A.; Bösch, H.; Pateraki, M. Digital surface modelling by airborne laser scanning and digital photogrammetry for glacier monitoring. Photogramm. Rec. 2001, 17, 243-273.
17. Barrand, N.E.; Murray, T.; James, T.D.; Barr, S.L.; Mills, J.P. Optimizing photogrammetric DEMs for glacier volume change assessment using laser-scanning derived ground-control points. J. Glaciol. 2009, 55, 106-116.
18. Kenner, R.; Bühler, Y.; Delaloye, R.; Ginzler, C.; Phillips, M. Monitoring of high alpine mass movements combining laser scanning with digital airborne photogrammetry. Geomorphology 2014, 206, 492-504.
19. Fischer, M.; Huss, M.; Kummert, M.; Hoelzle, M. Use of an ultra-long-range terrestrial laser scanner to monitor the mass balance of very small glaciers in the Swiss Alps. Cryosphere 2016, 10, 1279-1295.
20. Clapuyt, F.; Vanacker, V.; Van Oost, K. Reproducibility of UAV-based earth topography reconstructions based on Structure-from-Motion algorithms. Geomorphology 2016, 260, 4-15.
21. Rock, G.; Ries, J.B.; Udelhoven, T. Sensitivity Analysis of UAV-Photogrammetry for Creating Digital Elevation Models (DEM). In Proceedings of the Conference on Unmanned Aerial Vehicle in Geomatics, Zurich, Switzerland, 14-16 September 2011.
22. Leitão, J.P.; Moy de Vitry, M.; Scheidegger, A.; Rieckermann, J. Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas. Hydrol. Earth Syst. Sci. 2016, 20, 1637-1653.
23. Nouwakpo, S.K.; Weltz, M.A.; McGwire, K. Assessing the performance of structure-from-motion photogrammetry and terrestrial LiDAR for reconstructing soil surface microtopography of naturally vegetated plots: SfM and LiDAR Performance on Vegetated Plots. Earth Surf. Process. Landf. 2015, 41, 308-322.
24. Smith, M.W.; Carrivick, J.L.; Quincey, D.J. Structure from motion photogrammetry in physical geography. Prog. Phys. Geogr. 2015, 40, 1-29.
25. Kääb, A.; Girod, L.; Berthling, I. Surface kinematics of periglacial sorted circles using structure-from-motion technology. Cryosphere 2014, 8, 1041-1056.
26. Shahbazi, M.; Sohn, G.; Théau, J.; Menard, P. Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling. Sensors 2015, 15, 27493-27524.
27. Tahar, K.N.; Ahmad, A.; Akib, W.A.A.W.M.; Mohd, W.M.N.W. Assessment on Ground Control Points in Unmanned Aerial System Image Processing for Slope Mapping Studies. Int. J. Sci. Eng. Res. 2012, 3, 1-10.
28. Tahar, K.N. An evaluation on different number of ground control points in unmanned aerial vehicle photogrammetric block. In Proceedings of the ISPRS, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Istanbul, Turkey, 27-29 November 2013; Volume XL-2/W2.
29. Rosnell, T.; Honkavaara, E. Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera. Sensors 2012, 12, 453-480.
30. Tonkin, T.N.; Midgley, N.G. Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry. Remote Sens. 2016, 8, 1-8.
31. Immerzeel, W.; Kraaijenbrink, P.; Shea, J.; Shrestha, A.; Pellicciotti, F.; Bierkens, M.; de Jong, S. High-resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles. Remote Sens. Environ. 2014, 150, 93-103.
32. Ryan, J.C.; Hubbard, A.L.; Box, J.E.; Todd, J.; Christoffersen, P.; Carr, J.R.; Holt, T.O.; Snooke, N. UAV photogrammetry and structure from motion to assess calving dynamics at Store Glacier, a large outlet draining the Greenland ice sheet. Cryosphere 2015, 9, 1-11.
33. Bühler, Y.; Adams, M.S.; Bösch, R.; Stoffel, A. Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): Potential and limitations. Cryosphere 2016, 10, 1075-1088.
34. Harder, P.; Schirmer, M.; Pomeroy, J.; Helgason, W. Accuracy of snow depth estimation in mountain and prairie environments by an unmanned aerial vehicle. Cryosphere 2016, 10, 2559-2571.
35. Klokan Technologies GmbH, EPSG.io: Coordinate SystemsWorldwide. Available online: https://epsg.io/2056 (accessed on 20 February 2017).
36. SenseFly SA, a Parrot Company. Available online: http://www.sensefly.com (accessed on 20 February 2017).
37. Agisoft LCC, Agisoft PhotoScan. Available online: http://www.agisoft.com (accessed on 20 February 2017).
38. Fonstad, M.A.; Dietrich, J.T.; Courville, B.C.; Jensen, J.L.; Carbonneau, P.E. Topographic structure from motion: A new development in photogrammetric measurement. Earth Surf. Process. Landf. 2013, 38, 421-430.
39. Westoby, M.; Brasington, J.; Glasser, N.; Hambrey, M.; Reynolds, J. 'Structure-from-Motion' photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology 2012, 179, 300-314.
40. Seitz, S.M.; Curless, B.; Diebel, J.; Scharstein, D.; Szeliski, R. A comparison and evaluation of multi-view stereo reconstruction algorithms. In Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), New York, NY, USA, 17-22 June 2006; Volume 1.
41. Cline, D. Measuring Alpine Snow Depths by Digital Photogrammetry: Part 1. Conjugate Point Identification. In Proceedings of the Eastern Snow Conference, Quebec City, QC, Canada, 8-10 June 1993;.
42. Jagt, B.; Lucieer, A.; Wallace, L.; Turner, D.; Durand, M. Snow Depth Retrieval with UAS Using Photogrammetric Techniques. Geosciences 2015, 5, 264-285.
43. Jaud, M.; Passot, S.; Le Bivic, R.; Delacourt, C.; Grandjean, P.; Le Dantec, N. Assessing the Accuracy of High Resolution Digital Surface Models Computed by PhotoScan R and MicMac R in Sub-Optimal Survey Conditions. Remote Sens. 2016, 8, 1-18.
44. Vallet, J.; Panissod, F.; Strecha, C.; Tracol, M. Photogrammetric performance of an ultra light weight swinglet UAV. In Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g) (IAPRS), Zürich, Switzerland, 14-16 September 2011; Volume 38.
45. James, M.R.; Robson, S. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. J. Geophys. Res. 2012, 117, 1-17.
46. Whitehead, K.; Moorman, B.J.; Hugenholtz, C.H. Brief Communication: Low-cost, on-demand aerial photogrammetry for glaciological measurement. Cryosphere 2013, 7, 1879-1884.
47. Nolan, M.; Larsen, C.; Sturm, M. Mapping snow depth from manned aircraft on landscape scales at centimeter resolution using structure-from-motion photogrammetry. Cryosphere 2015, 9, 1445-1463.
48. Luhmann, T.; Robson, S.; Kyle, S.; Boehm, J. Close-Range Photogrammetry and 3d Imaging, 2nd ed.;Walter de Gruyter: Berlin, Germany, 2014.
49. Nouwakpo, S.K.; James, M.R.;Weltz, M.A.; Huang, C.H.; Chagas, I.; Lima, L. Evaluation of structure from motion for soil microtopography measurement. Photogramm. Rec. 2014, 29, 297-316.
50. Ouédraogo, M.M.; Degré, A.; Debouche, C.; Lisein, J. The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds. Geomorphology 2014, 214, 339-355.
51. James, M.R.; Robson, S. Mitigating systematic error in topographic models derived from UAV and ground-based image networks. Earth Surf. Process. Landf. 2014, 39, 1413-1420.
52. Piermattei, L.; Carturan, L.; de Blasi, F.; Tarolli, P.; Dalla Fontana, G.; Vettore, A.; Pfeifer, N. Suitability of ground-based SfM-MVS for monitoring glacial and periglacial processes. Earth Surf. Dyn. 2016, 4, 425-443.