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ISSN 0536-1028 (Print)              ISSN 2686-9853 (Online)  

Tailakov O. V., Korovin D. S. – Coal Institute of FRC CCC, the Siberian Branch of RAS, Kemerovo, the Russian
Federation. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The practical use of the approach to increasing the geometric accuracy of the 3D rock mass model with the use of
the mining technological transport identified in the photographs during loading and unloading operations in an open coal store
is considered. Experimental data are presented on the creation of a digital terrain model of an open coal deposit on the
basis of aerial survey data using unmanned aerial vehicles Geoscan 101, PTERO-E5 and GateWing X100. The process
of photogrammetry processing of aerial photographs in digital system PhotoScan is described. Mean square errors at the
control points in plan and by height, found from the differences in double measurements using the GPS/GLONASS
survey data of the receiver, for three models of the coal storage terrain before and after the coordinate network correction.
It is established that aerial photography using unmanned aerial vehicles allows to quickly register the space-time
characteristics of an open coal store with accuracy plan and by height corresponding to plans of scale 1 : 500.

Key words: unmanned air vehicle; aerial photography; digital photogrammetry; digital terrain model; open coal store.

REFERENCES
1. Tailakov O. V., Korovin D. S., Makeev M. P., Sokolov S. V. [Algorythmic support and hardware with the use of
unmanned air vehicles to estimate the coal remainder at open coal stores]. Ugol’ – Coal, 2015, no. 2,
pp. 68–71. (In Russ.)
2. GNSS System Trimble R4. Trimble Inc. Available at: http://trl.trimble.com/docushare/dsweb/Get/Document-
487617/022543-490F-RUS_TrimbleR4GNSS_DS_1014_LR.pdf (Access date June 18th, 2017).
3. Unmanned Air Vehicle Geoscan 101. Group of Companies “Geoscan”. Available at: https://www.geoscan.aero/ru/
products/geoscan101 (Access date: 18th June, 2017).
4. PTERO. Ptero LLC. Available at: http://ptero.ru/uasptero/uasptero.html (Access date: 18th June, 2017).
5. GateWing X100 UAS. Trimble Inc. Available at: http://uas.trimble.com/sites/default/files/downloads/gw_x100_
system_manual_v2.0.pdf (Access date: 18th June, 2017).
6. Tailakov O. V., Korovin D. S., Efimov V. I. [The choice of rational parameters of aerial photography of the surface of
coal enterprises with unmanned aerial vehicles]. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal – News of the
Higher Institutions. Mining Journal, 2016, no. 1, pp. 50–57. (In Russ.)
7. Carrera-Hernández J. J., Levresse G., Lacan P., Aranda-Gómez J. J. A low cost technique for development of ultrahigh
resolution topography: application to a dry maar’s bottom. Revista Mexicana de Ciencias Geologicas, 2016,
no. 1(33), pp. 122–133.
8. Goncalves M. C., Henriques R. UAV photogrammetry for topographic monitoring of coastal areas. ISPRS Journal of
Photogrammetry and Remote Sensing, 2015, no. 1(104), pp. 101–111.
9. 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
Sensing, 2013, no. 5(12), pp. 6880–6898.
10. 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. Inform., 2014, no. 7(2), pp. 97–107.
11. Peregudov M. A., and others. Marksheiderskie raboty na kar'erakh i priiskakh [Land survey operations at the open
pits and placer mines]. Moscow, Nedra Publ., 1980. 366 p.
12. Tailakov O. V., Korovin D. S. [The peculiarities of photogrammetry processing of aerial photographs of an open coal
store with the use of unmanned air vehicles]. Vestnik KuzGTU – Bulletin of the Kuzbass State Technical University,
2016, no. 5, pp. 3–7. (In Russ.)

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