Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 4, pp. 276-287
    
        Study of long-term industrial waste storage areas using remote sensing data
        E.V. Drobinina
 1 , P.A. Belkin
 1 , S.S. Vaganov
 1 , R.D. Perevoshchikov
 1 1 Perm State University, Perm, Russia
     
    Accepted: 20.05.2025
DOI: 10.21046/2070-7401-2025-22-4-276-287
The work is devoted to retrospective assessment of changes in a technogenic settling pond located in the industrial zone of Berezniki (Perm Territory). Earlier studies of accumulated sediments in the pond showed vertical variability of sediments, including color change. Data on surface color of the studied pond and color of accumulated sediments were compared on the basis of visual analysis of space images in true color for the period from 1985 to the present day. The analysis made it possible to determine the time period of the upper sediment layers formation. Together with this, the calculation of spectral indices for the surface of the studied pond, as well as for the adjacent territories and water areas was performed. As a result, the character of changes in the water surface area of the pond during different periods and the condition of the pond and the adjacent territory were studied. Combined analysis of pond water level data obtained using Modification of Normalized Difference Water Index (MNDWI) and analysis of spectral index change plots allowed us to confirm the regularities identified during visual image analysis and to specify certain periods of sediment formation. The result of the study is a solution to the difficult problem of establishing the time period of sediment layers formation in abandoned waste storage areas, obtained using open remote sensing data.
Keywords: remote sensing, retrospective analysis, industrial waste, spectral indices
Full textReferences:
- Berezina O. A., Shikhov A. N., Abdullin R. K., The use of multi-temporal satellite images for environmental assessment in coal mining areas (by example of closed Kizel coal basin), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, V. 15, No. 2, pp. 144–158 (in Russian), DOI: 10.21046/2070-7401-2018-15-2-144-158.
 - Demenev A. D., Berezina O. A., Maksimovich N. G., Mizev A. A., Applying remote sensing data to assess water quality in a mining area, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 2, pp. 271–285 (in Russian), DOI: 10.21046/2070-7401-2024-21-2-271-285.
 - Drobinina E. V., Belkin P. A., Modelling as a means of retrospective analysis of geoecological processes within the technogenic object, Sergeevskie chteniya. Vypusk 26. Massivy gruntov kak zhizneobespechivayushchii resurs obshchestva. Materialy godichnoi sessii Nauchnogo soveta RAN po problemam geoehkologii, inzhenernoi geologii i gidrogeologii (27–28 marta 2025 g.) (Sergeev Readings. Iss. 26. Soil massifs as a life-supporting resource of the society. Proc. Annual Session of the Scientific Council of the RAS on Problems of Geoecology, Engineering Geology and Hydrogeology (27–28 March 2025)), Moscow: Geoinfo, 2025, pp. 80–83 (in Russian).
 - Ermakov D. M., Demenev A. D., Meshcheriakova O. Yu., Berezina O. A., Features of the development of a regional water index for monitoring the impact of acid mine water discharges on river systems, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 6, pp. 222–237 (in Russian), DOI: 10.21046/2070-7401-2021-18-6-222-237.
 - Belkin P., Nechaeva Y., Blinov S. et al., Sediment microbial communities of a technogenic saline-alkaline reservoir, Heliyon, 2024, V. 10, Iss. 13, Article e33640, https://doi.org/10.1016/j.heliyon.2024.e33640.
 - Elhag M., Gitas I., Othman A. et al., Assessment of water quality parameters using temporal remote sensing spectral reflectance in arid environments, Saudi Arabia, Water, 2019, V. 11, Iss. 3, Article 556, https://doi.org/10.3390/w11030556.
 - Hall F. G., Sterbel D. E., Nickeson J. E., Goetz S. J., Radiometric rectification: Toward a common radiometric response among multidate, multisensory images, Remote Sensing of Environment, 1991, V. 35, Iss. 1, pp. 11–27, https://doi.org/10.1016/0034-4257(91)90062-B.
 - Lacaux J. P., Tourre Y. M., Vignolles C. et al., Classification of ponds from high-spatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal, Remote Sensing of Environment, 2007, V. 106, Iss. 1, pp. 66–74, https://doi.org/10.1016/j.rse.2006.07.012.
 - Lizcano-Sandoval L., Anastasiou C., Montes E. et al., Seagrass distribution, areal cover, and changes (1990–2021) in coastal waters off West-Central Florida, USA, Estuarine Coastal and Shelf Science, 2022, V. 279, Article 108134, https://doi.org/10.1016/j.ecss.2022.108134.
 - McFeeters S. ., The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, Intern. J. Remote Sensing, 1996, V. 17, Iss. 7, pp. 1425–1432, https://doi.org/10.1080/01431169608948714.
 - Rahman M. M., Hay G. J., Couloigner I. et al., A comparison of four radiometric normalization (RRN) techniques for mosaicing H-res multi-temporal thermal infrared (TIR) flight lines of a complex urban scene, ISPRS J. Photogrammetry and Remote Sensing, 2015, V. 106, pp. 82–94, https://doi.org/10.1016/j.isprsjprs.2015.05.002.
 - Rouse J. W., Jr., Haas R. H., Scheel J. A., Deering D. W., Monitoring vegetation systems in the great plains with ERTS, Proc. 3 rd Earth Resource Technology Satellite-1 (ERTS-1) Symp.,  1974, V. 1, pp. 309–317.
 - Schott J. R., Salvaggio C., Volchok W. J., Radiometric scene normalization using pseudo-invariant features, Remote Sensing of Environment, 1988, V. 26, Iss. 1, pp. 1–16, https://doi.org/10.1016/0034-4257(88)90116-2.
 - Segal D. B., Theoretical basis for differentiation of ferric-iron bearing minerals, using Landsat MSS data, Proc. Symp. for Remote Sensing of Environment, 2 nd Thematic Conf. on Remote Sensing for Exploratory Geology, Environmental Research Institute of Michigan, 1982, pp. 949–951.
 - Ushakova E., Perevoshchikova A., Menshikova E. et al., Environmental aspects of potash mining: A case study of the Verkhnekamskoe potash deposit, Mining, 2023, V. 3, Iss. 2, pp. 176–204, https://doi.org/10.3390/mining3020011.
 - Xu H., Modification of normalised difference water index (NDW1) to enhance open water features in remotely sensed imagery, Intern. J. Remote Sensing, 2006, V. 27, Iss. 14, pp. 3025–3033, DOI: 10.1080/01431160600589179.