Automation of Remote Environmental Monitoring of Mineral Resource Complex Facilities in Khabarovsk Krai
Keywords:
information system, monitoring, mining, remote sensing, mineral deposit, environmental safety, computer vision, machine learningAbstract
The paper addresses the problem of comprehensive mining and environmental monitoring of mineral resource complex facilities using Earth remote sensing data. The structure of an information system is presented, including modules for data management, processing and analysis of satellite imagery. Earth remote sensing data were used as source information. Processing and analysis of this information was performed to assess the impact of geo-resource extraction and processing on the state of the natural environment at mining enterprise locations and adjacent territories, and to study biota restoration in disturbed areas. Convolutional and transformer neural networks are applied to automate the identification of mining complex objects. Segmentation models for dredge tailings, open-pit mines, tailing dams and coal dust pollution were trained on prepared datasets including annotated satellite data of studied objects in seven regions of the Russian Federation. Methods are proposed for: assessing the impact of coal dust pollution on vegetation based on vegetation indices; mapping forest types using a fully-connected neural network; calculating volumes of dredge tailings based on digital elevation models, polygon centerline and Voronoi diagram construction algorithm; and determining heavy metal content in soil based on analysis of samples collected over a multi-year period using mathematical statistics methods. A correlation analysis was performed on data regarding element content in soil samples and water in the zone of influence of polymetallic ore mining. The proposed methods were tested in the territories of mining enterprises in Khabarovsk Krai. Point analysis of accumulated results from long-term observations and current data on the present state of natural environment objects allows forecasting the development of the studied natural-technical systems in the medium term.
References
1. Wang Z., Zhou W., Jiskani I.M., Ding X., Luo H. Dust pollution in cold region Surface Mines and its prevention and control. Environmental Pollution. 2022. vol. 292. DOI: 10.1016/j.envpol.2021.118293.
2. Wang H., Maqbool A., Xiao X., Yang H., Bi W., Bian Z. Seasonal pollution and risk assessment of heavy metals in atmospheric dust from coal mining area. International Journal of Environmental Science and Technology. 2022. vol. 19. № 12. pp. 11963–11972.
3. Blinovskaja Ja.Ju., Mazlova E.A. [Greenhouse gases emissions at coal production and processing: problem status and decrease technologies]. Uchenye zapiski Rossijskogo gosudarstvennogo gidrometeorologicheskogo universiteta – Scientific notes of the Russian State Hydrometeorological University. 2019. no. 54. pp. 145–154. (In Russ.).
4. Mun S.A., Larin S.A., Glushkov A.N. The influence of mining on atmosphere contamination and lung cancer in the Kemerovo region. Sovremennye problemy nauki i obrazovaniya – Modern Problems of Science and Education. 2013. no. 1. (In Russ.).
5. Afanasov V.I., Vokin V.N., Zayats V.V., Zenkov I.V., Kiryushina E.V., Kondrashov P.M., Konov V.N., Loginova E.V., Maglits Yu.A., Nefedov B.N., Perfilev D.A., Raevich K.V., Spirin T.S., Fedorov A.B., Yuronen Yu.P. [Coal Open Pits of Russia from Space. Mining Operations and Ecology of Disturbed Lands]. Krasnoyarsk: Sibirskiy federalnyy universitet – Siberian Federal University, 2017. 519 p. (In Russ.).
6. Liu Y., Heng W., Yue H. Quantifying the coal mining impact on the ecological environment of Gobi open-pit mines. Science of the total environment. 2023. vol. 883.
7. Pan Y., Chen M., Wang X., Chen Y. Ecological risk, source apportionment, and influencing factors of heavy metals in soil in a typical lead-zinc mining watershed, Guangxi, China. Journal of Environmental Chemical Engineering. 2024. vol. 12. no. 3.
8. Baieta R., Ettler V., Vaněk A., Drahota P., Kříbek B., Nyambe I., Mihaljevič M. Smelter-derived soil contamination in Luanshya, Zambia. Science of The Total Environment. 2023. vol. 867.
9. Karn R., Ojha N., Abbas S., Bhugra S. A review on heavy metal contamination at mining sites and remedial techniques. IOP Conference Series: Earth and Environmental Science. IOP Publishing, 2021. vol. 796. № 1.
10. Haghighizadeh A., Rajabi O., Nezarat A., Hajyani Z., Mina Haghmohammadi M., Hedayatikhah S., Asl S.D., Beni A.A. Comprehensive analysis of heavy metal soil contamination in mining Environments: Impacts, monitoring Techniques, and remediation strategies. Arabian Journal of Chemistry. 2024. vol. 17. no. 6.
11. Bakshi S., Banik C., ZhenLi H. The impact of heavy metal contamination on soil health. Managing soil health for sustainable agriculture. Volume 2: Monitoring and management. 2018. pp. 63–95.
12. Shpirt M.I.A., Laskorin B.N. [Waste-Free Technology: Utilization of Wastes from Mining and Processing of Solid Fossil Fuels]. Nedra – Bowels. 1986. 255 p. (In Russ.).
13. Leonov S.B., Fedotov K.V., Senchenko A.E. [Industrial Gold Extraction from Ash-Slag Dumps of Thermal Power Plants]. Gorniy zhurnal – Mining Journal. 1998. vol. 5. pp. 67–68. (In Russ.).
14. Lupyan E.A., Konstantinova A.M., Balashov I.V., Kashnitskiy A.V., Savorskiy V.P., Panova O.Yu. [Development of a system for analyzing the state of environment in areas of large industrial facilities, tailings and dumps]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa – Modern Problems of Remote Sensing of the Earth from Space. 2020. vol. 17. no. 7. pp. 243–261. (In Russ.).
15. Qdais H.A., Begday I.V., Katorgin I.Y., Shkarlet K.Y., Kharin K.V., Bluzhina A.S., Likhovid A.A. Assessment of metals pollution from tailing sites in the North Caucuses Region, Russia. Mine Water and the Environment. 2018. vol. 37. no. 4. pp. 815–824.
16. Shapovalov V.V., Kozyr D.A. [Resource-Saving Technology for Utilization of Waste Dumps of Mining Industries]. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov – Bulletion of the Tomsk Polytechnic University. Geo Assets Engineering. 2023. vol. 334. no. 4. pp. 175–184. (In Russ.).
17. Churkin O.E., Gilyarova A.A. [Mining wastes managements as an investment direction for the development of the Kila Penisula mining industry]. Ekonomika, predprinimatelstvo i pravo – Journal of economics, entrepreneurship and law. 2020. vol. 10. no. 3. pp. 905–916. (In Russ.).
18. Alsayed A., Nabawy M.R.A. Stockpile volume estimation in open and confined environments: a review. Drones. 2023. vol. 7. no. 8.
19. Ren H., Zhao Y., Xiao W., Hu Z. A review of UAV monitoring in mining areas: Current status and future perspectives. International journal of coal science & technology. 2019. vol. 6. pp. 320–333.
20. Talovskaya A.V., Yazikov E.G., Shakova T.S., Filimonenko E.A. [Assessment of Aerotechnogenic Pollution: case study in the vicinity of coal-fired and oil-fired local boiler in Tomsk Region)]. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov – Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2016. vol. 327. no. 10. pp. 116–130. (In Russ.).
21. Kazantseva U.D., Yakovlenko O.S., Leshukova M.K., Legoshchin K.V., Leshukov T.V., Larionov A.V. [Morphological characteristics, size and mass of PM0.1 dust near the open coal mines]. Uspekhi sovremennogo estestvoznaniya – Advances in Current Natural Science. 2023. no. 2. pp. 90–95. (In Russ.).
22. Kong S., Lu B., Ji Y., Zhao X., Chen L., Li Z., Han B., Bai Z. Levels, risk assessment and sources of PM10 fraction heavy metals in four types dust from a coal-based city. Microchemical Journal. 2011. vol. 98. no. 2. pp. 280–290.
23. Oparin V.N., Potapov V.P., Ginyatulina O.L., Andreeva N.V., Shchastlivtsev E.L., Bykov A.A. [Assessment of Dust Pollution of the Atmosphere in Coal Mining Areas of Kuzbass in Winter Period Based on Remote Sensing Data]. Fiziko-tekhnicheskie problemy razrabotki poleznykh iskopaemykh – Physico-Technical Problems of Mineral Development. 2014. no 3. pp. 126–137. (In Russ.).
24. Struchkova G.P., Krupnova T.G., Tikhonova S.A., Kapitonova T.A. [Snow cover pollution analysis in coal mining regions using color response curves]. Gorniy informatsionno-analiticheskiy byulleten (nauchno-tekhnicheskiy zhurnal) – Mining Informational and Analytical Bulletin (Scientific and Technical Journal). 2021. no. 12-1. pp. 195–203. (In Russ.).
25. Krupnova T.G., Rakova O.V., Struchkova G.P., Tikhonova S.A., Kapitonova T.A., Gavrilkina S.V., Bulanova A.V., Yakimova O.N. Insights into particle-bound metal(loid)s in winter snow cover: Geochemical monitoring of the Korkinsky coal mine area, south Ural region, Russia. Sustainability. 2021. vol. 13. no. 9.
26. Chen W., Wang X., Cui J., Cao X., Pu W., Zheng X., Ran H., Ding J. Radiative forcing of black carbon in seasonal snow of wintertime based on remote sensing over Xinjiang, China. Atmospheric Environment. 2021. vol. 247.
27. Ahmad M., Alam K., Tariq S., Blaschke T. Contrasting changes in snow cover and its sensitivity to aerosol optical properties in Hindukush-Karakoram-Himalaya region. Science of the Total Environment. 2020. vol. 699.
28. Sahu, R., Gupta R.D. Snow cover area analysis and its relation with climate variability in Chandra basin, Western Himalaya, during 2001–2017 using MODIS and ERA5 data. Environmental Monitoring and Assessment. 2020. vol. 192(8). DOI: 10.1007/s10661-020-08442-8.
29. Tigeev A.A., Aksenov N.V., Moskovchenko D.V., Pozhitkov R.Yu. [Assessment of Atmospheric Dust Contamination with Ground-based and Remote Sensing Methods (on the example of the Town of Tobolsk)]. Geograficheskiy vestnik – Geographical Bulletin. 2021. no. 2(57). pp. 121–134. (In Russ.).
30. 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 Sensing. 2022. vol. 14. no. 2.
31. Li Z., Zhao Y., Ren H., Sun Y. A Novel Index for Detecting Bare Coal in Open-Pit Mining Areas Based on Landsat Imagery. Remote Sensing. 2024. vol. 16. no. 24.
32. Xia N., Hai W., Song G., Tang M. Identification and monitoring of coal dust pollution in Wucaiwan mining area, Xinjiang (China) using Landsat derived enhanced coal dust index. Plos one. 2022. vol. 17. no. 4.
33. Yu H., Zahidi I. Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview. Science of the total environment. 2023. vol. 864.
34. Wei X., Chang N.B., Bai K., Gao W. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives. Critical Reviews in Environmental Science and Technology. 2020. vol. 50. no. 16. pp. 1640–1725.
35. Antoninova N.Yu., Rybnikova L.S., Slavikovskaya Yu.O., Shubina L.A. [Environmental and Economic Aspects of Selecting Reclamation Directions for Industrial Mining and Metallurgical Waste Disposal Sites]. Gornaya promyshlennost – Mining Industry. 2022. no. S1. pp 71–77. (In Russ.).
36. Musina G.A. [Comparative analysis of modern methods of deformation monitoring]. Interjekspo GEO-Sibir' – Interexpo GEO-Siberia. 2023. vol. 4. no. 2. pp. 82–90. (In Russ.).
37. Bagaev S.M., Medvedeva E.V. [Segmentation of satellite images based on the u-net convolutional neural network]. Cifrovaja obrabotka signalov i ee primenenie (DSPA-2021): dokl. 23-j mezhdunar. konf. – Digital signal processing and its applications (DSPA-2021): Proceedings of the 23rd International Conference. 2021. pp. 218–222. (In Russ.).
38. Kumar A., Gorai A.K. Development of a deep convolutional neural network model for detection and delineation of coal mining regions. Earth Science Informatics. 2023. vol. 16. no. 2. pp. 1151–1171.
39. Gallwey J., Robiati C., Coggan J., Vogt D., Eyre M. A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: Applying deep learning to shallow mining. Remote Sensing of Environment. 2020. vol. 248.
40. Ronneberger O., Fischer P., Brox T. U-net: Convolutional networks for biomedical image segmentation. Proceedings of the 18th international conference Medical image computing and computer-assisted intervention (MICCAI), part III. 2015. pp. 234–241.
41. Chen L.C., Papandreou G., Florian S., Hartwig A. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587. 2017.
42. Xie E., Wang W., Yu Z., Anandkumar A., Alvarez J.M., Luo P. SegFormer: Simple and efficient design for semantic segmentation with transformers. Advances in neural information processing systems. 2021. vol. 34. pp. 12077–12090.
43. Cao H., Wang Y., Chen J., Jiang D., Zhang X., Tian Q., Wang M. Swin-unet: Unet-like pure transformer for medical image segmentation. European conference on computer vision. Cham: Springer Nature Switzerland. 2022. pp. 205–218.
44. Bentéjac C., Csörgő A., Martínez-Muñoz G. A comparative analysis of gradient boosting algorithms. Artificial Intelligence Review. 2021. vol. 54(3). pp. 1937–1967.
45. Biau G., Scornet E. A random forest guided tour. Test. 2016. vol. 25. no. 2. pp. 197–227.
46. Khasanov K. Evaluation of ASTER DEM and SRTM DEM data for determining the area and volume of the water reservoir. IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020. vol. 883. no. 1.
47. Tadono T., Ishida H., Oda F., Naito S., Minakawa K., Iwamoto H. Precise global DEM generation by ALOS PRISM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2014. vol. 2. pp. 71–76.
48. Li H., Zhao J., Yan B., Yue L., Wang L. Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data. International Journal of Digital Earth. 2022. vol. 15. no. 1. pp. 1149–1168.
49. Marsh C.B., Harber P., Pomeroy J.W. Validation of FABDEM, a global bare-earth elevation model, against UAV-lidar derived elevation in a complex forested mountain catchment. Environmental Research Communications. 2023. vol. 5. no. 3.
50. Ho Y.F., Grohmann C.H, Lindsay J., Reuter I.H., Parente L., Witjes M., Hengl T. GEDTM30: Global Ensemble Digital Terrain model at 30 m and derived multiscale terrain variables. PeerJ. 2025. vol. 13. DOI: 10.7717/peerj.19673.
51. Filatova M.Yu. [Evaluation of ecological conditions in the influence zone of gold mining (manmade forest justification)]. Gorniy informatsionno-analiticheskiy byulleten (nauchno-tekhnicheskiy zhurnal) – Mining Informational and Analytical Bulletin (Scientific and Technical Journal). 2023. no. 8. pp. 27–44. (In Russ.).
52. Lemeshko B.Yu. Criteria for Checking Deviation of Distribution from the Normal Law. Application Guide. 2014. 192 p. (In Russ.).
53. Zhao Y., Wang Z., Sun W., Huang B., Shi X., Ji J. Spatial interrelations and multi-scale sources of soil heavy metal variability in a typical urban–rural transition area in Yangtze River Delta region of China. Geoderma. 2010. vol. 156. no. 3-4. pp. 216–227.
54. Yuan G.L., Sun T.H., Han P., Li J., Lang X.X. Source identification and ecological risk assessment of heavy metals in topsoil using environmental geochemical mapping: typical urban renewal area in Beijing, China. Journal of geochemical exploration. 2014. vol. 136. pp. 40–47.
2. Wang H., Maqbool A., Xiao X., Yang H., Bi W., Bian Z. Seasonal pollution and risk assessment of heavy metals in atmospheric dust from coal mining area. International Journal of Environmental Science and Technology. 2022. vol. 19. № 12. pp. 11963–11972.
3. Blinovskaja Ja.Ju., Mazlova E.A. [Greenhouse gases emissions at coal production and processing: problem status and decrease technologies]. Uchenye zapiski Rossijskogo gosudarstvennogo gidrometeorologicheskogo universiteta – Scientific notes of the Russian State Hydrometeorological University. 2019. no. 54. pp. 145–154. (In Russ.).
4. Mun S.A., Larin S.A., Glushkov A.N. The influence of mining on atmosphere contamination and lung cancer in the Kemerovo region. Sovremennye problemy nauki i obrazovaniya – Modern Problems of Science and Education. 2013. no. 1. (In Russ.).
5. Afanasov V.I., Vokin V.N., Zayats V.V., Zenkov I.V., Kiryushina E.V., Kondrashov P.M., Konov V.N., Loginova E.V., Maglits Yu.A., Nefedov B.N., Perfilev D.A., Raevich K.V., Spirin T.S., Fedorov A.B., Yuronen Yu.P. [Coal Open Pits of Russia from Space. Mining Operations and Ecology of Disturbed Lands]. Krasnoyarsk: Sibirskiy federalnyy universitet – Siberian Federal University, 2017. 519 p. (In Russ.).
6. Liu Y., Heng W., Yue H. Quantifying the coal mining impact on the ecological environment of Gobi open-pit mines. Science of the total environment. 2023. vol. 883.
7. Pan Y., Chen M., Wang X., Chen Y. Ecological risk, source apportionment, and influencing factors of heavy metals in soil in a typical lead-zinc mining watershed, Guangxi, China. Journal of Environmental Chemical Engineering. 2024. vol. 12. no. 3.
8. Baieta R., Ettler V., Vaněk A., Drahota P., Kříbek B., Nyambe I., Mihaljevič M. Smelter-derived soil contamination in Luanshya, Zambia. Science of The Total Environment. 2023. vol. 867.
9. Karn R., Ojha N., Abbas S., Bhugra S. A review on heavy metal contamination at mining sites and remedial techniques. IOP Conference Series: Earth and Environmental Science. IOP Publishing, 2021. vol. 796. № 1.
10. Haghighizadeh A., Rajabi O., Nezarat A., Hajyani Z., Mina Haghmohammadi M., Hedayatikhah S., Asl S.D., Beni A.A. Comprehensive analysis of heavy metal soil contamination in mining Environments: Impacts, monitoring Techniques, and remediation strategies. Arabian Journal of Chemistry. 2024. vol. 17. no. 6.
11. Bakshi S., Banik C., ZhenLi H. The impact of heavy metal contamination on soil health. Managing soil health for sustainable agriculture. Volume 2: Monitoring and management. 2018. pp. 63–95.
12. Shpirt M.I.A., Laskorin B.N. [Waste-Free Technology: Utilization of Wastes from Mining and Processing of Solid Fossil Fuels]. Nedra – Bowels. 1986. 255 p. (In Russ.).
13. Leonov S.B., Fedotov K.V., Senchenko A.E. [Industrial Gold Extraction from Ash-Slag Dumps of Thermal Power Plants]. Gorniy zhurnal – Mining Journal. 1998. vol. 5. pp. 67–68. (In Russ.).
14. Lupyan E.A., Konstantinova A.M., Balashov I.V., Kashnitskiy A.V., Savorskiy V.P., Panova O.Yu. [Development of a system for analyzing the state of environment in areas of large industrial facilities, tailings and dumps]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa – Modern Problems of Remote Sensing of the Earth from Space. 2020. vol. 17. no. 7. pp. 243–261. (In Russ.).
15. Qdais H.A., Begday I.V., Katorgin I.Y., Shkarlet K.Y., Kharin K.V., Bluzhina A.S., Likhovid A.A. Assessment of metals pollution from tailing sites in the North Caucuses Region, Russia. Mine Water and the Environment. 2018. vol. 37. no. 4. pp. 815–824.
16. Shapovalov V.V., Kozyr D.A. [Resource-Saving Technology for Utilization of Waste Dumps of Mining Industries]. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov – Bulletion of the Tomsk Polytechnic University. Geo Assets Engineering. 2023. vol. 334. no. 4. pp. 175–184. (In Russ.).
17. Churkin O.E., Gilyarova A.A. [Mining wastes managements as an investment direction for the development of the Kila Penisula mining industry]. Ekonomika, predprinimatelstvo i pravo – Journal of economics, entrepreneurship and law. 2020. vol. 10. no. 3. pp. 905–916. (In Russ.).
18. Alsayed A., Nabawy M.R.A. Stockpile volume estimation in open and confined environments: a review. Drones. 2023. vol. 7. no. 8.
19. Ren H., Zhao Y., Xiao W., Hu Z. A review of UAV monitoring in mining areas: Current status and future perspectives. International journal of coal science & technology. 2019. vol. 6. pp. 320–333.
20. Talovskaya A.V., Yazikov E.G., Shakova T.S., Filimonenko E.A. [Assessment of Aerotechnogenic Pollution: case study in the vicinity of coal-fired and oil-fired local boiler in Tomsk Region)]. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov – Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2016. vol. 327. no. 10. pp. 116–130. (In Russ.).
21. Kazantseva U.D., Yakovlenko O.S., Leshukova M.K., Legoshchin K.V., Leshukov T.V., Larionov A.V. [Morphological characteristics, size and mass of PM0.1 dust near the open coal mines]. Uspekhi sovremennogo estestvoznaniya – Advances in Current Natural Science. 2023. no. 2. pp. 90–95. (In Russ.).
22. Kong S., Lu B., Ji Y., Zhao X., Chen L., Li Z., Han B., Bai Z. Levels, risk assessment and sources of PM10 fraction heavy metals in four types dust from a coal-based city. Microchemical Journal. 2011. vol. 98. no. 2. pp. 280–290.
23. Oparin V.N., Potapov V.P., Ginyatulina O.L., Andreeva N.V., Shchastlivtsev E.L., Bykov A.A. [Assessment of Dust Pollution of the Atmosphere in Coal Mining Areas of Kuzbass in Winter Period Based on Remote Sensing Data]. Fiziko-tekhnicheskie problemy razrabotki poleznykh iskopaemykh – Physico-Technical Problems of Mineral Development. 2014. no 3. pp. 126–137. (In Russ.).
24. Struchkova G.P., Krupnova T.G., Tikhonova S.A., Kapitonova T.A. [Snow cover pollution analysis in coal mining regions using color response curves]. Gorniy informatsionno-analiticheskiy byulleten (nauchno-tekhnicheskiy zhurnal) – Mining Informational and Analytical Bulletin (Scientific and Technical Journal). 2021. no. 12-1. pp. 195–203. (In Russ.).
25. Krupnova T.G., Rakova O.V., Struchkova G.P., Tikhonova S.A., Kapitonova T.A., Gavrilkina S.V., Bulanova A.V., Yakimova O.N. Insights into particle-bound metal(loid)s in winter snow cover: Geochemical monitoring of the Korkinsky coal mine area, south Ural region, Russia. Sustainability. 2021. vol. 13. no. 9.
26. Chen W., Wang X., Cui J., Cao X., Pu W., Zheng X., Ran H., Ding J. Radiative forcing of black carbon in seasonal snow of wintertime based on remote sensing over Xinjiang, China. Atmospheric Environment. 2021. vol. 247.
27. Ahmad M., Alam K., Tariq S., Blaschke T. Contrasting changes in snow cover and its sensitivity to aerosol optical properties in Hindukush-Karakoram-Himalaya region. Science of the Total Environment. 2020. vol. 699.
28. Sahu, R., Gupta R.D. Snow cover area analysis and its relation with climate variability in Chandra basin, Western Himalaya, during 2001–2017 using MODIS and ERA5 data. Environmental Monitoring and Assessment. 2020. vol. 192(8). DOI: 10.1007/s10661-020-08442-8.
29. Tigeev A.A., Aksenov N.V., Moskovchenko D.V., Pozhitkov R.Yu. [Assessment of Atmospheric Dust Contamination with Ground-based and Remote Sensing Methods (on the example of the Town of Tobolsk)]. Geograficheskiy vestnik – Geographical Bulletin. 2021. no. 2(57). pp. 121–134. (In Russ.).
30. 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 Sensing. 2022. vol. 14. no. 2.
31. Li Z., Zhao Y., Ren H., Sun Y. A Novel Index for Detecting Bare Coal in Open-Pit Mining Areas Based on Landsat Imagery. Remote Sensing. 2024. vol. 16. no. 24.
32. Xia N., Hai W., Song G., Tang M. Identification and monitoring of coal dust pollution in Wucaiwan mining area, Xinjiang (China) using Landsat derived enhanced coal dust index. Plos one. 2022. vol. 17. no. 4.
33. Yu H., Zahidi I. Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview. Science of the total environment. 2023. vol. 864.
34. Wei X., Chang N.B., Bai K., Gao W. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives. Critical Reviews in Environmental Science and Technology. 2020. vol. 50. no. 16. pp. 1640–1725.
35. Antoninova N.Yu., Rybnikova L.S., Slavikovskaya Yu.O., Shubina L.A. [Environmental and Economic Aspects of Selecting Reclamation Directions for Industrial Mining and Metallurgical Waste Disposal Sites]. Gornaya promyshlennost – Mining Industry. 2022. no. S1. pp 71–77. (In Russ.).
36. Musina G.A. [Comparative analysis of modern methods of deformation monitoring]. Interjekspo GEO-Sibir' – Interexpo GEO-Siberia. 2023. vol. 4. no. 2. pp. 82–90. (In Russ.).
37. Bagaev S.M., Medvedeva E.V. [Segmentation of satellite images based on the u-net convolutional neural network]. Cifrovaja obrabotka signalov i ee primenenie (DSPA-2021): dokl. 23-j mezhdunar. konf. – Digital signal processing and its applications (DSPA-2021): Proceedings of the 23rd International Conference. 2021. pp. 218–222. (In Russ.).
38. Kumar A., Gorai A.K. Development of a deep convolutional neural network model for detection and delineation of coal mining regions. Earth Science Informatics. 2023. vol. 16. no. 2. pp. 1151–1171.
39. Gallwey J., Robiati C., Coggan J., Vogt D., Eyre M. A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: Applying deep learning to shallow mining. Remote Sensing of Environment. 2020. vol. 248.
40. Ronneberger O., Fischer P., Brox T. U-net: Convolutional networks for biomedical image segmentation. Proceedings of the 18th international conference Medical image computing and computer-assisted intervention (MICCAI), part III. 2015. pp. 234–241.
41. Chen L.C., Papandreou G., Florian S., Hartwig A. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587. 2017.
42. Xie E., Wang W., Yu Z., Anandkumar A., Alvarez J.M., Luo P. SegFormer: Simple and efficient design for semantic segmentation with transformers. Advances in neural information processing systems. 2021. vol. 34. pp. 12077–12090.
43. Cao H., Wang Y., Chen J., Jiang D., Zhang X., Tian Q., Wang M. Swin-unet: Unet-like pure transformer for medical image segmentation. European conference on computer vision. Cham: Springer Nature Switzerland. 2022. pp. 205–218.
44. Bentéjac C., Csörgő A., Martínez-Muñoz G. A comparative analysis of gradient boosting algorithms. Artificial Intelligence Review. 2021. vol. 54(3). pp. 1937–1967.
45. Biau G., Scornet E. A random forest guided tour. Test. 2016. vol. 25. no. 2. pp. 197–227.
46. Khasanov K. Evaluation of ASTER DEM and SRTM DEM data for determining the area and volume of the water reservoir. IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020. vol. 883. no. 1.
47. Tadono T., Ishida H., Oda F., Naito S., Minakawa K., Iwamoto H. Precise global DEM generation by ALOS PRISM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2014. vol. 2. pp. 71–76.
48. Li H., Zhao J., Yan B., Yue L., Wang L. Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data. International Journal of Digital Earth. 2022. vol. 15. no. 1. pp. 1149–1168.
49. Marsh C.B., Harber P., Pomeroy J.W. Validation of FABDEM, a global bare-earth elevation model, against UAV-lidar derived elevation in a complex forested mountain catchment. Environmental Research Communications. 2023. vol. 5. no. 3.
50. Ho Y.F., Grohmann C.H, Lindsay J., Reuter I.H., Parente L., Witjes M., Hengl T. GEDTM30: Global Ensemble Digital Terrain model at 30 m and derived multiscale terrain variables. PeerJ. 2025. vol. 13. DOI: 10.7717/peerj.19673.
51. Filatova M.Yu. [Evaluation of ecological conditions in the influence zone of gold mining (manmade forest justification)]. Gorniy informatsionno-analiticheskiy byulleten (nauchno-tekhnicheskiy zhurnal) – Mining Informational and Analytical Bulletin (Scientific and Technical Journal). 2023. no. 8. pp. 27–44. (In Russ.).
52. Lemeshko B.Yu. Criteria for Checking Deviation of Distribution from the Normal Law. Application Guide. 2014. 192 p. (In Russ.).
53. Zhao Y., Wang Z., Sun W., Huang B., Shi X., Ji J. Spatial interrelations and multi-scale sources of soil heavy metal variability in a typical urban–rural transition area in Yangtze River Delta region of China. Geoderma. 2010. vol. 156. no. 3-4. pp. 216–227.
54. Yuan G.L., Sun T.H., Han P., Li J., Lang X.X. Source identification and ecological risk assessment of heavy metals in topsoil using environmental geochemical mapping: typical urban renewal area in Beijing, China. Journal of geochemical exploration. 2014. vol. 136. pp. 40–47.
Published
2025-12-04
How to Cite
Smagin, S., Ozaryan, Y., Usikov, V., Smagin, A., Tsygulev, K., Sekrieru, R., Orlov, S., & Kozhevnikova, T. (2025). Automation of Remote Environmental Monitoring of Mineral Resource Complex Facilities in Khabarovsk Krai. Informatics and Automation, 24(6), 1587-1622. https://doi.org/10.15622/ia.24.6.3
Section
Artificial Intelligence, Knowledge and Data Engineering
Copyright (c) Сергей Иванович Смагин, Кирилл Сергеевич Цыгулёв, Роман Артурович Секриеру, Сергей Александрович Орлов, Татьяна Владимировна Кожевника, Юлия Александровна Озарян, Алексей Сергеевич Смагин
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).