Spatial-temporal geodynamics monitoring of land use and land cover changes in Stebnyk, Ukraine based on Earth remote sensing data

https://doi.org/10.23939/jgd2022.02.005
Received: February 12, 2022
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

The article presents the analysis and monitoring of land-use/land cover (LULC) changes considering the case study of Stebnyk, Lviv region, Ukraine, as an area of increased anthropogenic hazard impact (characterized by the karst sinkholes creation which is the result of extracting the potassium salt from underground mines and the violation of their conservation). The extraction was carried out without backfilling the underground excavations, resulting in the void formation of about 33 million m3 lying under the residential sector and road infrastructure, and could potentially be the site of future landslides/sinkholes that threaten the inhabitants and landscape ecosystem of the region as a whole. The research is based on Landsat 7 and 8 satellite images (made in February 2002 and December 2019, respectively), and ETM+ (Enhanced Thematic Mapper) data. Supervised classification conducted by maximum likelihood method was used to identify and analyze the spatial and temporal LULC changes on the territory divided into four classes. Vegetation indices NDVI have been calculated, analyzed and featured for further supervised classification. The accuracy of the obtained data had been improved by raster image filtering. A post-classification comparison approach was used to analyze LULC changes over the research period. It was established that for the period 2002-2019 the built-up area has increased by 5.61%, and the areas of forests and fields have decreased by 2.77% and 2.36%, respectively. The area of water bodies has undergone the least changes (+0.37%). The accuracy estimation of carried out classifications showed that the classification based on RGB images is more accurate than the classification based on the NDVI; the filtered classification showed more accurate results for most classes, than the unfiltered one. LULC monitoring for balanced regional, local and national development, as well as territorial planning, is a new area of the application of the Earth remote sensing (ERS) data in Ukraine. It allows assessing the state of the geocomponents system and predicting their further changes. The study of anthropogenic activity makes it possible to predict dangerous technogenic processes and thus avoid or reduce their consequences. The results of the research can be used as a basis for further monitoring of the Stebnyk region. They will also be useful to territorial communities for harmonious, sustainable development and land management of the studied area.

  1. Ayele, G. T., Tebeje, A. K., Demissie, S. S., Belete, M. A., Jemberrie, M. A., Teshome, W. M., ... & Teshale, E. Z. (2018). Time series land cover mapping and change detection analysis using geographic information system and remote sensing, Northern Ethiopia. Air, Soil and Water Research11, https://doi.org/10.1177/1178622117751603
  2. Burshtinska, Kh., & Stankevich, A. (2010). Aerospace shooting systems. Lviv: Lviv Polytechnic National University Publishing House. (in Ukrainian).
  3. Chepurna, T. B., & Samborska, O. I. (2017). Neural network modeling of subsidence dynamics on the territory of Stebnyk mining and chemical enterprise «POLYMINERAL». The International Research and Practice Conference «ECOGEOFORUM-2017. Actual Problems and Innovations». (in Ukrainian). http://elar.nung.edu.ua/bitstream/123456789/8891/1/8600p.pdf
  4. Chiesura, A., & De Groot, R. (2003). Critical natural capital: a socio-cultural perspective. Ecological Economics44(2-3), 219-231. https://doi.org/10.1016/S0921-8009(02)00275-6
  5. Coops N.C., Tooke T.R. Introduction to Remote Sensing. Learning Landscape Ecology. Springer. 2017. https://doi.org/10.1007/978-1-4939-6374-4_1
  6. Cracknell, A. P. (2018). The development of remote sensing in the last 40 years. International Journal of Remote Sensing39(23), 8387-8427. https://doi.org/10.1080/01431161.2018.1550919
  7. Dhingra, S., & Kumar, D. (2019). A review of remotely sensed satellite image classification. International Journal of Electrical & Computer Engineering (2088-8708)9(3). https://doi.org/10.11591/ijece.v9i3.pp.1720-1731
  8. Dyakiv V., Hevpa Z., & Kovalchuk M. (2019). Geoecological characteristics and hydrochemical composition of water layers in karst lake, formed on the site failure number 27, over mine number 2 Stebnyk, plant «Polimineral». State Commission of Ukraine on Mineral Reserves. pp. 215-221. (in Ukrainian).
  9. Gaffney, O., & Steffen, W. (2017). The anthropocene equation. The Anthropocene Review4(1), 53-61. https://doi.org/10.1177/2053019616688022
  10. Gergel, S. E., & Turner, M. G. (Eds.). (2017). Learning landscape ecology: a practical guide to concepts and techniques. Springer. https://doi.org/10.1007/978-1-4939-6374-4
  11. Gong, P., Wang, J., Yu, L., Zhao, Y., Zhao, Y., Liang, L., ... & Chen, J. (2013). Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing34(7), 2607-2654. https://doi.org/10.1080/01431161.2012.748992
  12. Gotinyan V., Tomchenko O. (2009). Estimation of tendencies of karst processes manifestation on remote sensing materials (on the example of Stebnyk deposit of potassium salts). Bulletin of Geodesy and Cartography. (5), 24-27.
  13. Hatfield, J., & Moran, S. (2014). Agriculture and Remote Sensing. Encyclopedia of Remote Sensing.https://doi.org/10.1007/978-0-387-36699-9_6
  14. Huan Y., Xiangmeng L., Bo K., Ruopu L., & Guangxing W. (2019). Landscape ecology development supported by geospatial technologies: A review. Ecological Informatic,. 51, 185-192. https://doi.org/10.1016/j.ecoinf.2019.03.006.
  15. Kolios, S., & Stylios, C. D. (2013). Identification of land cover/land use changes in the greater area of the Preveza peninsula in Greece using Landsat satellite data. Applied Geography, 40, 150–160. https://doi.org/10.1016/j.apgeog.2013.02.005
  16. Kuzmenko, E. D., Maksymchuk, V. Y., Bagriy, S. M., Sapuzhak, O. Y., Chepurnyi, I. V., Deshchytsya, S. A., & Dzoba, U. O. (2019). Integration of electric prospectingmethods for forecasting the subsidence and sinkholes within the salt deposits in the Precarpathian area. Geodynamics, 2 (27), 54-65. https://doi.org/10.23939/jgd2019.02.054
  17. Li, J., Yang, L., Pu, R., & Liu, Y. (2017). A review on anthropogenic geomorphology. Journal of Geographical Sciences27(1), 109-128. https://doi.org/10.1007/s11442-017-1367-7
  18. Li-An, C., Billa, L., & Azari, M. (2018). Anthropocene climate and landscape change that increases flood disasters. Int J Hydro2(4), 487-491. https://doi.org/10.15406/ijh.2018.02.00115
  19. Newton, A. C., Hill, R. A., Echeverría, C., Golicher, D., Rey Benayas, J. M., Cayuela, L., & Hinsley, S. A. (2009). Remote sensing and the future of landscape ecology. Progress in Physical Geography33(4), 528-546. https://doi.org/10.1177/0309133309346882
  20. Pelenc, J., & Ballet, J. (2015). Strong sustainability, critical natural capital and the capability approach. Ecological economics112, 36-44. https://doi.org/10.1016/j.ecolecon.2015.02.006
  21. Riese, F. M., Keller, S., & Hinz, S. (2019). Supervised and semi-supervised self-organizing maps for regression and classification focusing on hyperspectral data. Remote Sensing12(1), 7.. https://doi.org/10.3390/rs12010007
  22. Rudko, G., & Bondarenko, M. (2001). The technogenic ecological safety of the salt and sulphur minings of Lviv region]. Proceedings of the Scientific Society. Shevchenko. 7(40), 68-75. (in Ukrainian). http://dspace.nbuv.gov.ua/handle/123456789/73450
  23. Savchyn, I., Tretyak, K., Petrov, S., Zaiats, O. & Brusak, I. (2019). Monitoring of mine fields at Stebnyk potassium deposit area by a geodetic and geotechnical method. European Association of Geoscientists & Engineers. 1, 1-5. https://doi.org/10.3997/2214- 4609.201902169
  24. Shalan, M. A., Arora, M. K.,&  Elgy, J. (2004). CASCAM: Crisp and Soft Classification Accuracy Measurement Software. URL: http://www.geocomputation.org/2003/Papers/Shalan_Paper.pdf
  25. Snitynskyi, V., Zelisko, O., Khirivskyi, P., Mazurak, O., Krektun, B., & Korinec, Yu. (2021). Hydrogeological monitoring of the Stebnyk potash ore deposit in Drohobych district in Lviv region. Bulletin of Lviv National Anrar University. Section Ecology. 5-8. https://doi.org/10.31734/agronomy2021.01.005
  26. Steffen W., Broadgate W., Deutsch L., Gaffney O., Ludwig C. The trajectory of the Anthropocene: the great acceleration. The Anthropocene Review. 2015. Vol. 2(1), P. 81-98. https://doi.org/10.1177/2053019614564785
  27. Szabó, J., Dávid, L., & Lóczy, D. (2010). Anthropogenic geomorphology: a guide to manmade landforms. Hungary: Springer Science Business Media. https://doi.org/10.1007/978-90-481-3058-0
  28. Tarolli, P., & Sofia, G. (2016). Human topographic signatures and derived geomorphic processes across landscapes. Geomorpholog,. 255, 140-161. https://doi.org/10.1016/j.geomorph.2015.12.007
  29. Thilagavathi N., Subramani T., Suresh M. Land use/land cover change detection analysis in Salem chalk hills, South India using remote sensing and GIS. Disaster Adv. 2015. Vol. 8. P. 44-52. https://journals.sagepub.com/doi/full/10.1177/1178622117751603
  30. Tucker C.J. (1979) Red and photographic infrared linear combinations monitoring vegetation. Journal of Remote Sensing Environment, 8(2), 127-150. https://doi.org/10.1016/0034-4257(79)90013-0
  31. Waters C., Zalasiewicz J., Williams M., Ellis M., Snelling A. A stratigraphical basis for the Anthropocene? Special Publications. 2014. Vol. 395. P. 1-21. https://pubs.geoscienceworld.org/gsl/books/book/1761/A-Stratigraphical-B...https://doi.org/10.1144/SP395.18
  32. Zaiats, O., Navodych, M., Petrov, S., & Tretyak, K. (2017). Precise tilt measurements for monitoring of mine fields at Stebnyk potassium deposit area. Geodynamics, 2(23), 25-33. https://doi.org/10.23939/jgd2017.02.025