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Original Paper

UDC 622.271(73):550.814 © I.V. Zenkov, Trinh Le Hung, Yu.P. Yuronen, V.N.,Vokin, E.V. Kiryushina, P.M. Kondrashov, K.V.Raevich, A.A. Latyntsev, 2023

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 7, pp. 89-92

DOI: http://dx.doi.org/10.18796/0041-5790-2023-7-89-92




Zenkov I.V.1,2, Trinh Le Hung3, Yuronen Yu.P.1 Vokin V.N.4,Kiryushina E.V.4, Kondrashov P.M.4, Raevich K.V.4, Latyntsev A.A.4

1Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation

2Siberian Research Institute of Mining and Surveying, Krasnoyarsk, 660064, Russian Federation

3Le Quy Don Technical University (LQDTU), Hanoi, 11355, Vietnam

4Siberian Federal University, Krasnoyarsk, 660041, Russian Federation

Authors Information

Zenkov I.V., Doctor of Engineering Sciences, Professor, Deputy Director for Scientific Work, e-mail: zenkoviv@mail.ru

Trinh Le Hung, PhD (Engineering), Associate Professor

Yuronen Yu.P., PhD (Economic), Associate Professor

Vokin V.N., PhD (Engineering), Professor

Kiryushina E.V., PhD (Engineering), Associate Professor

Kondrashov P.M., PhD (Engineering), Professor

Raevich K.V., PhD (Engineering), Associate Professor

Latyntsev A.A., PhD (Engineering), Associate Professor


This paper presents the results of assessing the technological potential and mining capacity of surface coal mines in New South Wales, Australia. Technological indicators of coal mines, mining and transport equipment used, as well as elements of coal mining systems, are identified using the satellite imaging data. A conclusion is made that the economy of scale allows to keep the level of coal production at 150 mtpa.


Earth remote sensing, Australia, New South Wales, Surface coal mines, Technological capacity, Mining and transport equipment, Mining systems, Economy of scale.


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4. Zenkov I.V., Le Hung T., Vokin V.N. et al. Space-based Applications of Remote Sensing in Studying Opencast Mining and Ecology at Deposits of Non-ferrous Metal Ore. Ecology and Industry of Russia, 2022, Vol. 26, (1), pp. 24-29.

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6. Ritesh Mujawdiya, Chatterjee R.S. & Dheeraj Kumar. MODIS land surface temperature time series decomposition for detecting and characterizing temporal intensity variations of coal fire induced thermal anomalies in Jharia coalfield, India. Geocarto International, 2020. DOI: 10.1080/10106049.2020.1818853.

7. Narendra Singh, Chatterjee R.S., Dheeraj Kumar et al. Retrieval of precise land surface temperature from ASTER night-time thermal infrared data by split window algorithm for improved coal fire detection in Jharia Coalfield, India. Geocarto International, 2020. DOI: 10.1080/10106049.2020.1753820.

8. L?pez-Vinielles J., Fern?ndez-Merodo J.A., Ezquerro P. et al. Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Area. Remote Sens, 2021; 13(10):2008.

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10. Bell Stephen A.J. Translocation of threatened terrestrial orchids into non?mined and post?mined lands in the Hunter Valley of New South Wales, Australia. Restoration Ecology, 2020, Vol. 28, (6), pp. 1396-1407.

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The study was performed within the framework of international cooperation in expanding the use of remote sensing technologies.

For citation

Zenkov I.V., Trinh Le Hung, Yuronen Yu.P., Vokin V.N.,Kiryushina E.V., Kondrashov P.M., Raevich K.V. & Latyntsev A.A. A study into technological indicators of surface coal mines in the New South Wales using Earth's remote sensing data. Ugol’, 2023, (7), pp. 89-92. (In Russ.). DOI: 10.18796/0041-5790-2023-7-89-92.

Paper info

Received May 3, 2023

Reviewed June 10, 2023

Accepted June 26, 2023


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