

Space-based Applications of Remote Sensing in Studying Open-pit Mining and Ecology at Non-metallic Mineral Deposits in Russia
https://doi.org/10.18412/1816-0395-2024-1-28-33
Abstract
Based on the remote sensing data, comprehensive information is provided on mining landscapes at deposits of mineral raw materials for production of cement, crushed stone, metallurgical fluxes, and asbestos products, which are in open-pit mining in the mining regions of Russia. Using high-resolution satellite images, the amount of mining transport equipment in quarries at non-metallic mineral deposits has been determined. The volume of diesel fuel consumed by dump trucks when removing rocks from quarries has been calculated. The volume of toxic substances released into atmosphere during the operation of quarry vehicles in the being developed deposits of non-metallic minerals has been established.
About the Authors
I.V. ZenkovRussian Federation
Dr. Sci. (Eng.), Deputy Director for Research
Chin Le Hung
Viet Nam
Cand. Sci. (Eng.), Associate Professor
M.L. Dmitrieva
Russian Federation
Cand. Sci. (Economics), Associate Professor
Yu.P. Yuronen
Russian Federation
Cand. Sci. (Eng.), Associate Professor
E.V. Cherepanov
Russian Federation
Cand. Sci. (Eng.), Associate Professor
Zh.V. Mironova
Russian Federation
Cand. Sci. (Eng.), Associate Professor
E.I. Gerasimova
Russian Federation
Senior Lecturer
S.N. Skornyakova
Russian Federation
Senior Lecturer
P.M. Kondrashov
Russian Federation
Cand. Sci. (Eng.), Professor
E.A. Kustikova
Russian Federation
Engineer-elocogist
References
1. Пономаренко М.Р., Кутепов Ю.И., Волков М.А., Гринюк А.П. Космические методы в составе комплексного деформационного мониторинга земной поверхности горного предприятия. Горный информационно-аналитический бюллетень. 2020. № 12. С. 103—113.
2. Крамаров С.О., Митясова О.Ю., Храмов В.В. Спутниковая идентификация объектов земной поверхности с использованием неортогонального описания исходных данных. Горный информационно-аналитический бюллетень. 2021. № 4. С. 154—166.
3. Корниенко С.Г. Характеристика антропогенных трансформаций ландшафтов в районе Бованенковского месторождения по данным спутников Landsat. Современные проблемы дистанционного зондирования Земли из космоса. 2022. Т. 19. № 2. С. 106—129.
4. Коротаева А.Э., Пашкевич М.А. Применение данных спектральной съемки для экологического мониторинга водной растительности. Горный информационно-аналитический бюллетень. 2021. № 5—2. С. 231—244.
5. Madhuanand L., Sadavarte P., Visschedijk A.J.H. et al. Deep convolutional neural net-works for surface coal mines determination from sentinel-2 images. European Journal of Remote Sens. 2021. V. 54. I. 1. Р. 296—309.
6. Sadavarte P., Pandey S., Maasakkers J.D. et al. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations. Environmental Science and Technology. 2021.
7. Zenkov I.V., Morin A.S., Vokin V.N., Kiryushina E.V. Remote sensing of mining and haul-age equipment arrangement in Russia: A case-study of the coal and iron ore industry. Eurasian mining. 2020. No. 2. Р. 46—49.
8. Nie X., Hu Z., Ruan M., Zhu Q., Sun H. Remote-Sensing Evaluation and Temporal and Spatial Change Detection of Ecological Environment Quality in Coal-Mining Areas. Remote Sens. 2022. 14. 345.
9. Kasmaeeyazdi S., Mandanici E., Balomenos E. et al. Mapping of Aluminum Concentration in Bauxite Mining Residues Using Sentinel-2 Imagery. Remote Sens. 2021. 13(8):1517. doi.org/10.3390/rs13081517.
10. López-Vinielles J., Fernández-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. doi.org/10.3390/rs13102008.
11. 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.
12. Yi Xu, Hongdong Fan, Libo Dang. Monitoring coal seam fires in Xinjiang using comprehensive thermal infrared and time series InSAR detection. International Journal of Remote Sensing. 2021. V. 42. I. 6. P. 2220—2245.
13. 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. V. 26. I. 1. Р 24—29.
14. https://www.google.com.earth.
Review
For citations:
Zenkov I., Le Hung Ch., Dmitrieva M., Yuronen Yu., Cherepanov E., Mironova Zh., Gerasimova E., Skornyakova S., Kondrashov P., Kustikova E. Space-based Applications of Remote Sensing in Studying Open-pit Mining and Ecology at Non-metallic Mineral Deposits in Russia. Ecology and Industry of Russia. 2024;28(1):28-33. (In Russ.) https://doi.org/10.18412/1816-0395-2024-1-28-33