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Lightweight Unmanned Aerial Vehicle and Structure-from-Motion Photogrammetry for Generating Digital Surface Model for Open-Pit Coal Mine Area and Its Accuracy Assessment

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Advances and Applications in Geospatial Technology and Earth Resources (GTER 2017)

Abstract

Recent technological innovations have led to the available of lightweight Unmanned Aerial Vehicle (UAV) and Structure-from-Motion (SfM) photogrammetry that are successfully applied for 3D topographic surveys. However, application of UAV and SfM for complex topographic areas i.e. open-pit mine areas is still poorly understood. This paper aims to investigate and verify potential application of these techniques for generating Digital Surface Model (DSM) at open-pit coal mine area and assessing its accuracy. For this purpose, the Nui Beo open-pit coal mine located in northeast Vietnam is selected as a case study. Accordingly, a total of 206 photos were captured using DJI Phantom 3 Professional. In addition, 19 ground control points (GCPs) were established using Leica TS09 total station. The accuracy of DSM was assessed using root-mean-square error (RMSE) in X, Y, Z, XY, and XYZ components. The result showed that the DSM model has high accuracy, RMSE on the 12 calibrated GCPs for X, Y, Z, XY, XYZ is 1.1 cm, 1.9 cm, 0.8 cm, 2.2 cm, and 2.3 cm, respectively, whereas RMSE on the 7 checked GCPs is 1.8 cm, 2.4 cm, 3.2 cm, 3.0 cm, and 4.4 cm for X, Y, Z, XY, XYZ components, respectively. We concluded that small UAV and SfM are feasible and valid tools for 3D topographic mapping in complex terrains such as open-pit coal mine areas.

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References

  1. Ogundare, J.O.: Precision Surveying: The Principles and Geomatics Practice. Wiley, Hoboken (2015)

    Book  Google Scholar 

  2. Siebert, S., Teizer, J.: Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Autom. Constr. 41, 1–14 (2014)

    Article  Google Scholar 

  3. Hugenholtz, C.H., Walker, J., Brown, O., Myshak, S.: Earthwork volumetrics with an unmanned aerial vehicle and softcopy photogrammetry. J. Surveying Eng. 141, 06014003 (2014)

    Article  Google Scholar 

  4. Carrivick, J.L., Smith, M.W., Quincey, D.J.: Structure From Motion in the Geosciences. Wiley, Handbook (2016)

    Book  Google Scholar 

  5. Fernández-Hernandez, J., González-Aguilera, D., Rodríguez-Gonzálvez, P., Mancera-Taboada, J.: Image-based modelling from Unmanned Aerial Vehicle (UAV) photogrammetry: an effective. Low-Cost Tool Archaeol. Appl. Archaeometry 57, 128–145 (2015)

    Google Scholar 

  6. Vasuki, Y., Holden, E.-J., Kovesi, P., Micklethwaite, S.: Semi-automatic mapping of geological structures using UAV-based photogrammetric data: an image analysis approach. Comput. Geosci. 69, 22–32 (2014)

    Article  Google Scholar 

  7. Cryderman, C., Mah, S.B., Shufletoski, A.: Evaluation of UAV photogrammetric accuracy for mapping and earthworks computations. Geomatica 68, 309–317 (2014)

    Article  Google Scholar 

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

    Article  Google Scholar 

  9. Shahbazi, M., Sohn, G., Théau, J., Menard, P.: Development and evaluation of a UAV-photogrammetry system for precise 3D environmental modeling. Sensors 15, 27493–27524 (2015)

    Article  Google Scholar 

  10. Tonkin, T.N., Midgley, N., Cook, S.J., Graham, D.J.: Ice-cored moraine degradation mapped and quantified using an unmanned aerial vehicle: a case study from a polythermal glacier in Svalbard. Geomorphology 258, 1–10 (2016)

    Article  Google Scholar 

  11. Eltner, A., Baumgart, P., Maas, H.G., Faust, D.: Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil. Earth Surf. Proc. Land. 40, 741–755 (2015)

    Article  Google Scholar 

  12. Candiago, S., Remondino, F., De Giglio, M., Dubbini, M., Gattelli, M.: Evaluating multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sens. 7, 4026–4047 (2015)

    Article  Google Scholar 

  13. Hugenholtz, C.H., Whitehead, K., Brown, O.W., Barchyn, T.E., Moorman, B.J., LeClair, A., Riddell, K., Hamilton, T.: Geomorphological mapping with a small unmanned aircraft system (sUAS): feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model. Geomorphology 194, 16–24 (2013)

    Article  Google Scholar 

  14. Tuan, V.A.: Annual report of the Nui Beo coal joint stock company - VINACOMIN group. The Nui Beo coal joint stock compan (2013)

    Google Scholar 

  15. Nui Beo Joint Stock company: The environmental impact assessent report on the project of investments and construction of underground mining of the Nui Beo coal mine (2013)

    Google Scholar 

  16. Ajayi, O.G., Salubi, A.A., Angbas, A.F., Odigure, M.G.: Generation of accurate digital elevation models from UAV acquired low percentage overlapping images. Int. J. Remote Sens. 38, 3113–3134 (2017)

    Google Scholar 

  17. Han, Y.-G., Jung, S.-H., Kwon, O.: How to utilize vegetation survey using drone image and image analysis software. J. Ecol. Environ. 41, 18 (2017)

    Article  Google Scholar 

  18. Tien Bui, D., Tran, C.T., Pradhan, B., Revhaug, I., Seidu, R.: iGeoTrans – a novel iOS application for GPS positioning in geosciences. Geocarto Int. (2014)

    Google Scholar 

  19. Sona, G., Pinto, L., Pagliari, D., Passoni, D., Gini, R.: Experimental analysis of different software packages for orientation and digital surface modelling from UAV images. Earth Sci. Inf. 7, 97–107 (2014)

    Article  Google Scholar 

  20. Leon, J.X., Roelfsema, C.M., Saunders, M.I., Phinn, S.R.: Measuring coral reef terrain roughness using ‘Structure-from-Motion’close-range photogrammetry. Geomorphology 242, 21–28 (2015)

    Article  Google Scholar 

  21. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60, 91–110 (2004)

    Article  Google Scholar 

  22. Fryer, J.G., Brown, D.C.: Lens distortion for close-range photogrammetry. Photogrammetric Eng. Remote Sens. 52, 51–58 (1986)

    Google Scholar 

  23. Manual, A.P.U.: Professional Edition, Version 1.2. Russia: Agisoft LLC (2016)

    Google Scholar 

  24. Agüera-Vega, F., Carvajal-Ramírez, F., Martínez-Carricondo, P.: Accuracy of digital surface models and orthophotos derived from unmanned aerial vehicle photogrammetry. J. Surveying Eng. (2016). 04016025

    Google Scholar 

  25. Tahar, K.: An evaluation on different number of ground control points in unmanned aerial vehicle photogrammetric block. ISPRS J. Photogramm. XL-2 (W2) 93–98 (2013)

    Google Scholar 

  26. 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. 5, 6880–6898 (2013)

    Article  Google Scholar 

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Acknowledgement

This research was supported by Department of Mine Surveying, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology (Vietnam) and the Nui Beo coal joint stock company - VINACOMIN group.

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Correspondence to Dieu Tien Bui .

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Tien Bui, D. et al. (2018). Lightweight Unmanned Aerial Vehicle and Structure-from-Motion Photogrammetry for Generating Digital Surface Model for Open-Pit Coal Mine Area and Its Accuracy Assessment. In: Tien Bui, D., Ngoc Do, A., Bui, HB., Hoang, ND. (eds) Advances and Applications in Geospatial Technology and Earth Resources. GTER 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-68240-2_2

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