Abstract
The authors propose a sequence of acquisition and interpretation of geospatial data obtained using different methods and means during mineral mining toward the accuracy increase in evaluation of industrially disturbed land. This approach uses the concept of stage-wise transition from the areas of industrial facilities to their individual points. The integration of data of satellite surveys, ground-based laser scanning and unmanned aerial surveillance in the digital models of land areas is described. It is highlighted that the rational combination of different methods of geospatial data acquisition and interpretation produces a high-accurate geoinformation system of digital twins of various subsoil use facilities.
REFERENCES
Nikulina. I.E. and Khomenko, I.V., System-Forming Factors in the Development of Regional Socio-Economic Complex, Regional’naya ekonomika: teoriya i praktika, 2009, no. 20, pp. 20–26.
Zen’kov, I.V., Tekhnologii rekul’tivatsii zemel’ i formirovaniya arkhitektury tekhnogennykh landshaftov dlya predpriyatii gornodobyvayushchei promyshlennosti s otkrytymi gornymi rabotami (Technologies for Land Reclamation and Formation of Man-Made Landscape Architecture for Enterprises Engaged in Open-Pit Mining), Krasnoyarsk: SFU, 2022.
Basova, I.A., Prokhorov, D.O., Pyankov, S.V., and Trubina, L.K., Monitoring of Lands Occupied by Man-Made Mineral Formations, Vestn. SGUGiT, 2022, vol. 27, no. 4, pp. 138–149.
Sokolov, E.M., Kachurin, N.M., and Melekhova, N.I., Reclamation of Mine Dumps in the Moscow Region, Izv. TulGU. Nauki o Zemle, 2010, no. 1, pp. 102–105.
Arkhipova, Yu.A. and Bubnova, M.B., Monitoring and Assessment of the Environmental Impact Caused by Mining Activity in the Russian Far East, Ekologicheskie sistemy i pribory, 2019, no. 6, pp. 3–8.
Akulova, E.A. and Titov, M.O., Methods for Obtaining Geospatial Data in Modern Conditions, Gornyi Zhurnal, 2017, no. 6, pp. 79–86.
Ostapenko, S.P. and Mesyats, S.P., Recovery Dynamics of Mining-Altered Natural Ecosystems by Satellite Data, Journal of Mining Science, 2022, vol. 58, no. 5, pp. 839–848.
Ozhygin, D., Safar, V., Dorokhov, D., Ozhygina, S., Ozhygin, S., and Stankova, H., Terrestrial Photogrammetry at the Quarry and Validating the Accuracy of Slope Models for Monitoring their Stability, IOP Conf. Series: Earth Env. Sci., 2021, vol. 906, no. 1. 012062.
Labant, S., Bindzarova Gergelova, M., Kuzevicova, Z., Kuzevic, S., Fedorko, G., and Molnar, V., Utilization of Geodetic Methods Results in Small Open-Pit Mine Conditions: A Case Study from Slovakia, Minerals, 2020, vol. 10, p. 489.
Ruan, S., Liu, D., Gu, Q., and Jing, Y., An Intelligent Detection Method for Open-Pit Slope Fracture Based on the Improved Mask R-CNN, Journal of Mining Science, 2022, vol. 58, no. 6, pp. 503–518.
Seredovich, V.A., Komissarov, A.V., Komissarov, D.V., and Shirokova, T.A., Nazemnoe lazernoe skanirovanie (Terrestrial Laser Scanning), Novosibirsk: SGGA, 2009.
Schmitz, B., Holst, C., Medic, T., Lichti, D., and Kuhlmann, H., How to Efficiently Determine the Range Precision of 3D Terrestrial Laser Scanners, Sensors, 2019, vol. 19, p. 1466.
Kekeç, B., Bilim, N., Karakaya, E., and Ghiloufi, D., Applications of Terrestrial Laser Scanning (TLS) in Mining: A Review, Türkiye Lidar Dergisi, 2021, vol. 3, no. 1, pp. 31–38.
Nurmukhametov, A.L., Sidorchuk, D.S., Konovalenko, I.A., Nikonorov, A.V., and Gracheva, M.A., Spectral Harmonization of UAV and Satellite Imagery Data for High-Precision Farming, Informatsionnye Protsessy, 2022, vol. 22, no. 4, pp. 335–346.
Gavrilov, V.N., Nemova, N.A., Reznik, A.V., Kosarev, N.S., and Kolesnikov, A.A., About the Need for a Comprehensive Geoecological Assessment of Lands Disturbed by Mining, Izv. TPU. Inzhiniring georesursov, 2023, no. 10, pp. 76–87.
Nagovitsyn, O.V. and Stepacheva, A.V., Digital Twin of Solid Mineral Deposit, Journal of Mining Science, 2021, vol. 57, no. 6, pp. 1033–1040.
Voskoboinikova, A.A., Development of Architecture for Integration of Several Information Systems, Vostochno-Evropeyskiy zhurnal peredovykh tekhnologiy, 2009, vol. 4, no. 3 (40), pp. 12–15.
Novoselova, O.V., Volkova, G.D., and Gavrilov, A.G., Modeling Integrated Environment to Support the Creation of Applied Automated Systems, Izv. Vuzov. Povolzhskii region. Tekhnicheskie nauki, 2014, no. 1, pp. 81–91.
Reznik, A.V., Gavrilov, V.L., Nemova, N.A., Kosarev, N.S., and Kolesnikov, A.A., RF patent no. 2806406, Byull. Izobret., 2023.
Kolesnikov, A.A., Kosarev, N.S., Nemova, N.A., Reznik, A.V., and Platonov, T.A., Compilation of Database of Industrially Disturbed Territories in the Novosibirsk Region, Vestn. SGUGiT, 2023, vol. 31, no. 5, pp. 80–92.
Gavrilov, V.L., Nemova, N.A., Reznik, A.V., Kosarev, N.S., Smyk, M.I., and Medvedeva, K.E., On Disturbance of Lands when Developing SME in the Eastern Part of the Novosibirsk Region, Fund. Prikl. Vopr. Gorn. Nauk, 2022, vol. 9, no. 1, pp. 69–78.
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2023, No. 6, pp. 190-197. https://doi.org/10.15372/FTPRPI20230618.
Publisher’s Note. Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kosarev, N.S., Kolesnikov, A.A., Reznik, A.V. et al. The Use of Geospatial Data in the Industrially Disturbed Land Evaluation. J Min Sci 59, 1058–1065 (2023). https://doi.org/10.1134/S1062739123060182
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1062739123060182