Bibliography: 1. Boos I. Yu., Patachakov I. V., Redkin D. V. Improving the safety of open-pit mining based on new knowledge about the shear characteristics and geometry of the developed subsoil. Ugol'. 2023, no. 11 (1173), pp. 76—80. [In Russ]. DOI: 10.18796/0041-5790-2023-11-76-80.
2. Kuzin A. A., Filippov V. G. Method for determining the plan view coordinates and height of the working benchmark on a landslide with forced inclinations of the pole from the plumb position. Geodesy and Cartography. 2024, no. 9, pp. 2—11. [In Russ]. DOI: 10.22389/0016-7126-2024-1011-9-2-11.
3. Ilyukhin D. A., Marinin M. A., Rakhmanov D. A. Investigation of the parameters of the collapse of an exploded rock mass by the photogrammetric survey. Gornyi Zhurnal. 2023, no. 9, pp. 12—21. [In Russ]. DOI: 10.17580/gzh.2023.09.02.
4. Kuzin A. A., Filippov V. G. Forecasting landslide displacement values based on geodetic data. Sustainable Development of Mountain Territories. 2024, vol. 16, no. 3, pp. 1176—1191. [In Russ]. DOI: 10.21177/1998-4502-2024-16-3-1176-1191.
5. Valkov V. A., Vinogradov K. P., Valkova E. O., Mustafin M. G. Creating rasters of high information content based on laser scanning and aerial photography. Geodesy and Cartography. 2022, no. 11, pp. 40—49. [In Russ]. DOI: 10.22389/0016-7126-2022-989-11-40-49.
6. Gusev V. N., Blishchenko A. A., & Sannikova A. P. Study of a complex of factors influencing the error in the implementation of surveying of mountain objects using a geodetic quadcopter. Journal of Mining Institute. 2022, vol. 254, pp. 173—179. [In Russ]. DOI: 10.31897/PMI.2022.35.
7. Shabarov A. N., Noskov V. A., Pavlovich A. A., Cherepov A. A. The concept of geomechanical risk in open mining. Gornyi Zhurnal. 2022, no. 9, pp. 22—29. [In Russ]. DOI: 10.17580/gzh.2022.09.04.
8. Zakharov V. N., Gvishiani A. D., Vaisberg L. A., Zhernov B. V. Big data and sustainable functioning of geotechnical systems. Gornyi Zhurnal. 2021, no. 11, pp. 45—52. [In Russ]. DOI: 10.17580/ gzh.2021.11.06.
9. Mustafin M. G., Valkova E. O. Surveying and geomechanical substantiation of the methodology for observing deformations of quarry sides. Ugol'. 2024, no. 7, pp. 55—61. [In Russ]. DOI: 10. 18796/0041-5790-2024-7-55-61.
10. Mustafin M. G., Valkova E. O., Valkov V. A. Ways of development of surveying and geodetic observations for the stability of quarry sides. Mine Surveying Bulletin. 2022, no. 3 (148), pp. 13—18. [In Russ].
11. Volohov A. V. Predictive assessment of quarry side stability. XXI century. Technosphere safety. 2021, no. 2 (22), pp. 201—210. [In Russ].OI: 10.21285/2500-1582-2021-2-201-210.
12. Glazunov V. V., Burlutsky S. B., Shuvalova R. A., Zhdanov S. V. Improving the reliability of 3D modeling of a landslide slope based on data from engineering geophysics. Journal of Mining Institute. 2022, vol. 257, pp. 771—782. [In Russ]. DOI: 10.31897/PMI.2022.86.
13. Quelopana A., Navarra A. Integration of strategic open-pit mine planning into hierarchical artificial intelligence. The Journal of the Southern African Institute of Mining and Metallurgy. 2021, vol. 123, pp. 63—70. DOI: 10.17159/2411-9717/1367/2021.
14. McQuillan A., Bar N. The necessity of 3D analysis for open-pit rock slope stability studies: Theory and practice. The Journal of the Southern African Institute of Mining and Metallurgy. 2023, vol. 121, pp. 643—652. DOI: 10.17159/2411-9717/2425/2023.
15. Casagli N., Intrieri E., Tofani V., Gigli G. Landslide detection, monitoring and prediction with remote-sensing techniques. Nature Reviews Earth & Environment. 2023, vol. 4, no. 1, pp. 51—64. DOI: 10.1038/s43017-022-00373-x.
16. Tong X., Liu X., Chen P., Liu S., Luan K., Li L., Liu S., Liu X., Xie H., Jin Y., Hong Z. Integration of UAV-based photogrammetry and terrestrial laser scanning for the three-dimensional mapping and monitoring of open-pit mine areas. Remote Sensing. 2015, vol. 7, pp. 6635—6662. DOI: 10.3390/ rs70606635.
17. Vystrchil M. G., Gusev V. N., Sukhov A. K. The method of determining the errors of segmented GRID models of open-pit mines constructed with the results of unmanned aerial photogrammetric survey. Journal of Mining Institute. 2023, vol. 262, pp. 562—570. [In Russ].
18. Pravdina E. A. Laser scanner data capture time management. ARPN Journal of Engineering and Applied Sciences. 2017, vol. 12, no. 5, pp. 1649—1661.
19. Vystrchil M. G., Baltyzhakova T. I., Romanchikov A. Yu., Bogoliubova A. A. Algorithm of land surface points extraction from airborne laser scanning data. Geodesy and Cartography. 2024, no. 2, pp. 2—11. [In Russ]. DOI: 10.22389/0016-7126-2024-1004-2-2-11.
20. Ponomarenko M. R., Kutepov Y. I. Using the typification of mining-engineering facilities to substantiate deformation monitoring of opencast mining. News of the Ural State Mining University. 2020, no. 4 (60), available at: https://cyberleninka.ru/article/n/using-the-typification-of-mining-engineering-facilities-to-substantiate-deformation-monitoring-of-opencast-mining (accessed 26.03.2025).
21. Zenkov I. V., Chin L. H., Anishchenko Yu. A., Loginova E. V., Maglinets Yu. A., Raevich K. V., Latyntsev A. A., Veretenova T. A., Kondrashov P. M., Pavlova P. L., Konov V. N. Study of mining operations and processes of restorative ecology at coal deposits in Vietnam based on remote sensing data. Ugol'. 2022, no. 7 (1156), pp. 21—24. [In Russ]. DOI: 10.18796/0041-5790-2022-7-21-24.
22. Hosseiny B., Amini J., Aghababaei H. Structural displacement monitoring using ground-based synthetic aperture radar. International Journal of Applied Earth Observation and Geoinformation. 2023, vol. 116, pp. 103—144. DOI: 10.1016/j.jag.2022.103144.
23. Dolgopolov D. V., Baborykin M. Yu., Melky V. A. Monitoring of hazardous geological processes during the construction and operation of pipeline transport facilities according to Earth remote sensing data. Interexpo Geo-Siberia. 2021, vol. 4, no. 1, pp. 25—32. [In Russ]. DOI: 10.33764/2618981X-2021-4-1-25-32.
24. Li J., Pei Y., Zhao S., Xiao R., Sang X., Zhang C. A review of remote sensing for environmental monitoring in China. Remote Sensing. 2020, vol. 12, no. 7, pp. 11—30. DOI: 10.3390/rs12071130.
25. Smolyaninova E. I., Mikhailov V. O., Dmitriev P. N. Identification and monitoring of areas of active deformations in the Adler region of Greater Sochi by analyzing series of different frequency satellite radar images for 2007–2020. Modern problems of remote sensing of the Earth from space. 2021, vol. 18, no. 4, pp. 55. [In Russ]. DOI: 10.21046/2070-7401-2021-18-4-55-65.
26. Solonko E. V., Khlebnikova E. P. Using multi-temporal satellite images to assess the development of landslide processes in the city of Barnaul. Interexpo GEO-Siberia. 2016, no. 9, pp. 156—161. [In Russ].
27. Fan B., Luo G., Hellwich O., Shi X., Ochege F. U. Surface deformation detection and attribution in the Mountain-Oasis-Desert Landscape in north Tianshan Mountains. GIScience & Remote Sensing. 2023, vol. 60, no. 1, pp. 72—84. DOI: 10.1080/15481603.2023.2270814.
28. Schubert A., Small D., Miranda N., Geudtner D. Sentinel-1A product geolocation accuracy: Commissioning phase results. Remote Sensing. 2015, vol. 7, no. 7, pp. 431—449. DOI: DOI: 10.3390/ rs70709431.
29. Mammadov E., Nowosad J., Glaesser C. Estimation and mapping of surface soil properties in the Caucasus Mountains, Azerbaijan using high-resolution remote sensing data. Geoderma Regional. 2021, vol. 26, pp. 4—11. DOI: 10.1016/j.geodrs.2021.e00411.
30. Mohamed M. T. A., Al-Naimi L. S., Mgbeojedo T. I., Agoha C. C. Geological mapping and mineral prospectivity using remote sensing and GIS in parts of Hamissana, Northeast Sudan. Journal of Petroleum Exploration and Production. 2021, vol. 11, no. 3, pp. 1123—1138. DOI: 10.1007/s13202021-01115-3.
31. Shirmard H., Farahbakhsh E., Muller D., Chandra R. A review of machine learning in processing remote sensing data for mineral exploration. Remote Sensing of Environment. 2022, vol. 268, pp. 11—27. DOI: 10.1016/j.rse.2021.112750.
32. Zhang B., Wu Y., Zhao B., Chanussot J. Progress and challenges in intelligent remote sensing satellite systems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, vol. 15, pp. 1814—1822. DOI: 10.1109/JSTARS.2022.3148139.
33. Foxall B., Sweeney J. J., Walter W. R. Identification of mine collapses, explosions and earthquakes using InSAR: a preliminary investigation. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States), 1998, no. UCRL-JC-131189.
34. Zhang H., Dang X., Zhao J., Lu M. Analysis and prediction of ground deformation in Yinxi Industrial Park based on time-series InSAR technology. Environmental Monitoring and Assessment. 2024, vol. 196, no. 4, article 359. DOI: 10.1007/s10661-024-12530-4.
35. Vadivel S. K. P., Kim D., Kim Y. C. Time-series InSAR analysis and post-processing using ISCE-StaMPS package for measuring bridge displacements. Korean Journal of Remote Sensing. 2020, vol. 36, no. 4, pp. 527—534. DOI: 10.7780/kjrs.2020.36.4.3.
36. Jiang Y., Yu X. Space-based long term condition monitoring of cold region pavement with PS-InSAR. Journal of Infrastructure Preservation and Resilience. 2025, vol. 6, no. 1, pp. 1—16. DOI: 10.1186/s43065-024-00110-2.