Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 5, pp. 149-157
On the issue of optimizing the adoption of design schemas in karst areas using remote sensing and GIS
E.V. Drobinina
1 , M.A. Kitaeva
1 , E.R. Romanova
2, 3 , I.G. Ermolovich
1 1 Perm State University, Perm, Russia
2 Sergeev Institute of Environmental Geoscience RAS, Moscow, Russia
3 Moscow State University of Civil Engineering, Moscow, Russia
Accepted: 16.09.2024
DOI: 10.21046/2070-7401-2024-21-5-149-157
The paper is devoted to the Issue of integrated assessment of karst hazard in the area of linear structures using remote sensing data (RS) to optimize design scheme. The methodological approach is based on the analysis of RS data using the tools of modern geographic information systems. A “cost” surface raster is constructed using RS data. The cost surface describes the complexity of crossing and development of the studied karsted terrain and takes into account surface karst, terrain type, surface slope, distance from the elements of gully network and karst forms. Forest and Buildings removed Copernicus 30m Digital Elevation Model (FABDEM) and high-resolution space images are used in the work. The result of the proposed methodology is the construction of the most optimal variant of linear structure location, at which its operation in the study area will be associated with minimal risks. The proposed approach is adaptive, accessible, does not require long time for implementation, and at the same time allows reducing the risks of increasing the volume of engineering-geological surveys due to possible changes in the general design scheme.
Keywords: remote sensing, digital elevation model, karst, cost surface, clustering, geoinformation systems
Full textReferences:
- Antipov V. S., Volin K. A., Zhuravlev E. A., Identification of karst and karst-suffosion features on satellite imagery in the central part of East European platform, Bull. Saint Petersburg University. Ser. 7. Geology. Geography, 2016, Issue 4, pp. 4–16 (in Russian), DOI: 10.21638/11701/spbu07.2016.401.
- Bondarik G. K., Yarg L. A., Engineering and geological surveys: a textbook, an electronic publication of network distribution, Moscow: KDU, Dobrosvet, 2018 (in Russian), https://bookonlime.ru/node/563/.
- Drobinina E. V., Kitaeva M. A., Study of geotechnical processes in karst areas using Earth remote sensing data, Karst i peshchery. 2024: sbornik nauchnykh trudov (po materialam Vserossiiskoi nauchno-prakticheskoi konferentsii s mezhdunarodnym uchastiem. 28 maya – 1 iyunya 2024 g. (Karst and caves. 2024: collection of scientific papers (based on the materials of the All-Russian scientific and practical conference with international participation. May 28 – June 1, 2024)), Perm, 2024, pp. 64–70 (in Russian).
- Drobinina E. V., Penkin K. A., Comparison of methods of classification of satellite images in solving issues of establishing boundaries of lands for various purposes, 12-ya Mezhdunarodnaya nauchno-prakticheskaya konferentsiya “Aktual’nye voprosy geodezii i geoinformatsionnykh sistem”. 31 avgusta – 1 sentyabrya 2023 goda. Programma, tezisy i doklady (12th Intern. Scientific and Practical Conf. “Topical issues of geodesy and geoinformation systems”. August 31 – September 1, 2023. The program, abstracts and reports), 2023, pp. 22–25 (in Russian).
- Gitis L. H., Statisticheskaya klassifikatsiya i klasternyi analiz (Statistical classification and cluster analysis), Moscow: Gornaya kniga (MGGU), 2003, 157 p. (in Russian).
- Gorbunova K. A., Andreychuk V. N., Kostarev V. P., Maksimovich N. G., Karst i peshchery Permskoi oblasti (Karst and caves of the Perm region), Perm: Perm State University, 1992, 200 p. (in Russian).
- Kovaleva T. G., Kamenskikh K. S., To assess the karst hazard of the Pivovarovsky karst site, Vserossiiskaya nauchno-praktshcheskaya konferentsiya “Regional’nye problemy geologii, geografii, tekhnosfernoi i ekologicheskoi bezopasnosti”: sbornik statei (All-Russian Scientific and Practical Conference “Regional problems of geology, geography, technosphere and environmental safety”: Proc.), Orenburg, 2019, pp. 17–19 (in Russian).
- Makarova N. V., Makeev V. M., Sukhanova T. V., Miklyaev P. S., Dorozhko A. L., Korobova I. V., The newest tectonics and geodynamics of the Nizhneoksky district (Russian plate), Bull. Moscow University. Ser. 4. Geology, 2012, No. 4, pp. 3–11 (in Russian).
- Pugachev A. I., Algorithm for constructing a concave hull of a set of points, Intern. J. Humanities and Natural Sciences, 2024, Vol. 4–3 (79), pp. 109–113 (in Russian) DOI:10.24412/2500-1000-2023-4-3-109-113.
- Tkachev Yu. A., Multivariate cluster analysis in geology, Vestnik of Institute of Geology of Komi Science Center of Ural Branch RAS, 2019, No. 2(290), pp. 44–52 (in Russian), DOI: 10.19110/2221-1381-2019-2-44-52.
- Tkachenko M. A., Karelina Y. V., A cluster analysis as a method of identifying potential chromite mineralisation within the Voykar-Syninsky massif, Intern. Research J., 2023, No. 10(136), 7 p., (in Russian), DOI: 10.23670/IRJ.2023.136.63.
- Shikhov A. N., Gerasimov A. P., Ponomarchuk A. I., Perminova E. S., Tematicheskoe deshifrirovanie i interpretatsiya kosmicheskikh snimkov srednego i vysokogo prostranstvennogo razresheniya (Thematic decoding and interpretation of satellite images of medium and high spatial resolution), Perm, 2020, 191 p. (in Russian).
- Duarte D., Fonte C., Costa H., Caetano M., Thematic comparison between ESA WorldCover 2020 Land Cover product and a national land use land cover map, Land, 2023, Vol. 12(2), Article 490, DOI: https://doi.org/10.3390/ land12020490.
- Hawke L., Uhe P., Paulo L. et al., A 30 m global map of elevation with forests and buildings removed, Environmental Research, 2022, No. 17, Article 024016, DOI: 10.1088/1748-9326/ac4d4f.
- Zanaga D., Van De Kerchove R., Daems D. et al., ESA WorldCover 10 m 2021 v200, 2022, https://doi.org/10.5281/zenodo.7254221.