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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 2, pp. 129-140

Remote signs of karst process in open areas

E.V. Drobinina 1 , M.A. Kitaeva 1 , A.A. Ezhova 1 
1 Perm State University, Perm, Russia
Accepted: 24.12.2025
DOI: 10.21046/2070-7401-2026-23-2-129-140
The article is devoted to the research of a comprehensive approach to identifying remote signs of sulfate and carbonate-sulfate karst in open areas using remote sensing data. The paper proposes a set of diagnostic indicators systematized using karst areas in Nizhny Novgorod Region, Republic of Bashkortostan, and Perm Krai as examples. The indicators take into account both direct morphological forms of relief (e. g. karst sinkholes, basins, blind valleys) that are clearly identifiable during visual interpretation and indirect geobotanical anomalies identified by spectral analysis methods. Of particular methodological importance is the testing of an algorithm for automatic mapping of karst forms based on the results of spectral analysis, which increases the objectivity and effectiveness of karst monitoring. The conclusion drawn is that remote sensing data, when combined with visual and automated spectral interpretation, are highly reliable and have great potential for assessing the karst hazard of territories.
Keywords: remote sensing, spectral analysis, karst, geoinformation systems
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References:

  1. Drobinina E. V., Automation of surface karst assessment using Sentinel 2 satellite imagery, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 6, pp. 79–90 (in Russian), DOI: 10.21046/2070-7401-2022-19-6-79-90.
  2. Drobinina E. V., Kitaeva M. A., Romanova E. R., Monitoring of hazardous geotechnical processes using the geoinformation systems and Earth remote sensing data, Bull. of Perm University. Geology, 2025, V. 24(1), pp. 23–31 (in Russian), DOI: 10.17072/psu.geol.24.1.23.
  3. Erofeev E. A., Kataev V. N., Application of probabilistic and statistical methods for assessing karst hazards in conditions of anthropogenic impact on karstified territories, Engineering Geology World, 2010, No. 4, pp. 34–46 (in Russian).
  4. Ikonnikov L. B., Main results of karst monitoring in Dzerzhinsk (1992–2005), Georisk, 2008, No. 3, pp. 50–54 (in Russian).
  5. Kamalov V. G., Opasnye geologicheskie protsessy na territorii Ufimskogo “poluostrova” (Inzhenernaya geodinamika) (Dangerous geological processes on the territory of the Ufa “peninsula” (Engineering geodynamics)), Ufa: Informreklama, 2019, 239 p. (in Russian).
  6. Maksimovich N. G., Kadevskaya O. I., Meshcheryakova O. Yu., Sul’fatnyi karst Permskogo kraya (Sulfate karst of the Perm region), Perm, 2021, 302 p. (in Russian).
  7. Polyakova E. V., Kutinov Yu. G., Mineev A. L., Chistova Z. B., Geomorphometric features of karst process in plain forested territories (by the example of the Dvinsk-Mezen karst province), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 4, pp. 173–183 (in Russian), DOI: 10.21046/2070-7401-2025-22-4-173-183.
  8. Romanova E. R., Drobinina E. V., Application of modern open data of Earth remote sensing to study the karst forms distribution on the example of areas near the city of Drerzhinsk, Materialy Vserossiiskoi nauchno-prakticheskoi konferentsii s mezhdunarodnym uchastiem “Karst i peshchery. 2024” (Proc. All-Russian scientific and practical conference with international participation “Karst and caves. 2024”), Perm: Permskii gosudarstvennyi natsional’nyi issledovatel’skii universitet, 2024, pp. 145–151 (in Russian).
  9. Romanova E. R., Kitaeva M. A., Drobinina E. V., Application of Earth remote sensing data when studying hazardous geotechnical processes, Bull of Tomsk Polytechnic University. Geo Assets Engineering, 2025, V. 336, No. 8, pp. 74–94 (in Russian), DOI: 10.18799/24131830/2025/8/4872.
  10. Ferentinou M., Witkowski W., Hejmanowski R. et al., Detection of sinkhole occurrence, experiences from South Africa, Proc. Intern. Association of Hydrological Sciences, 2020, V. 382, pp. 77–82, DOI: 10.5194/ piahs-382-77-2020.
  11. Gao B.-c., NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 1996, V. 58, Iss. 3, pp. 257–266, DOI: 10.1016/ S0034-4257(96)00067-3.
  12. Khoshlahjeh Azar M., Hamedpour A., Maghsoudi Y., Perissin D., Analysis of the deformation behavior and sinkhole risk in Kerdabad, Iran using the PS-InSAR method, Remote Sensing, 2021, V. 13, Iss. 14, Article 2696, DOI: 10.3390/rs13142696.
  13. Kim J. W., Lu Z., Degrandpre K., Ongoing deformation of sinkholes in Wink, Texas, observed by time-series Sentinel 1A SAR interferometry (preliminary results), Remote Sensing, 2016, V. 8, Iss. 4, Article 313, DOI: 10.3390/rs8040313.
  14. Orhan O., Oliver-Cabrera T., Wdowinski S. et al., Land subsidence and its relations with sinkhole activity in Karapinar Region, Turkey: A multi-sensor InSAR time series study, Sensors, 2021, V. 21, Iss. 3, Article 774, DOI: 10.3390/s21030774.
  15. Rouse J. W., Jr., Haas R. H., Schell 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., NASA SP-351, 1974, V. 1, pp. 309–317.
  16. Theilen-Willige B., Remote sensing contribution to the detection of karst features and their structural environment in the area of the Bekaa Valley in Central-Lebanon, Mediterranean J. Basic and Applied Sciences, 2024, V. 8, Iss. 2, pp. 133–155, DOI: 10.2139/ssrn.4861190.