Satellite monitoring of fire hazard of mining facilities (on the example of waste heaps in the L’viv-Volynskii coal basin)

Authors

  • Anton Mychak Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0002-7544-7857
  • Volodymyr Filipovych Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0002-9404-8122

DOI:

https://doi.org/10.36023/ujrs.2025.12.2.282

Keywords:

Landsat, thermal band, LST, monitoring, coal spoil heaps, fire hazard, fire forecasting, Chervonohrad mining district

Abstract

The article considers the methodological and technological approach to studying the fire hazard of coal mining facilities (in particular, burning/smoldering of coal spoil heaps) based on the study of satellite data in the thermal spectral range. The research was carried out in a monitoring mode on the example of studying the temperature regime of the waste heaps of the Chervonohrad mining district of the L’viv-Volynskii coal basin in the period 1980-2024. The most active burning / smoldering process, which united almost all the waste heaps of the Chervonohrad region, occurred in the period from the 1980s to the end of the 1990s. Since the beginning of the 2000s, the areas of burning/smoldering spoil heaps have become smaller, which is obviously a consequence of the implementation of fire protection measures. An outbreak of fire activity on the waste heaps in the district (the appearance of a number of highly contrasting temperature anomalies within the waste heaps) occurred in 2015-2017. Today, according to satellite imagery, there are no burning waste heaps in the Chervonohrad mining district. According to the research results, the high efficiency of using space imagery materials in monitoring and controlling the occurrence, development and dynamics of fire hazardous situations at the local and regional levels is noted. At the same time, the monitoring mode of research makes it possible to predict the most likely areas of spontaneous combustion in the absence of obvious (visible) burning centers and determine the direction of smoldering/burning of waste rock. The results obtained make it possible to target fire-fighting activities, more efficient strategies for the management of mining facilities to apply and to minimize their negative impact on the environment.

Author Contributions: Conceptualization – A.G.Mychak; methodology and analysis – V.Ye. Filipovych, A.G.Mychak; systematization, visualization – A.G.Mychak, V.Ye. Filipovych; preparation of the text of the article: the author's manuscript – A.G.Mychak; reviewing and editing – V.Ye.Filipovych. All authors read and agreed with the published version of the manuscript.

Funding: This study has not received external funding.

Data Availability Statement: Not applied.

Acknowledgments: The authors are grateful to the reviewers and editors for their valuable comments, recommendations and attention to work.

Conflicts of Interest: Authors declare no conflict of interest.

References

Albut S (2024) Land Surface Temperature (LST) Calculation processes with Landsat 8. In book: Pioneer and innovative studies in engineering. Publisher: All Sciences Academy 133-148/ https://www.researchgate.net/publication/387690673_Land_Surface_Temperature_LST_Calculation_processes_with_Landsat_8#fullTextFileContent

Busygin B.S., Sergeeva E.L. (2011). Monitoring of а condition of Donbass heaps according to data of multispectral space surveys. Scientific herald of NGU, No 2. P. 39-44. – in Russian. http://nvngu.in.ua/index.php/uk/arkhiv-zhurnalu/za-vipuskami/330-2011/zmist-2-2011

Earth Resources Observation and Science (EROS) Center. (2020a). Landsat 8-9 Operational Land Imager / Thermal Infrared Sensor Level-2, Collection 2 [dataset]. U.S. Geological Survey. https://doi.org/10.5066/P9OGBGM6.

Earth Resources Observation and Science (EROS) Center. (2020b). Landsat 4-5 Thematic Mapper Level-2, Collection 2 [dataset]. U.S. Geological Survey. https://doi.org/10.5066/P9IAXOVV.

Ecological passport of Lviv region (2024) based on 2023 data. Department of Ecology and Natural Resources of Lviv Regional State Administration, Lviv, 204 с. URL: https://drive.google.com/file/d/1hPAiUwWFhuMd_lUqQ9E-kvK_J1VIpqLg/view?pli=1

Filipovych VE, Mychak AG, Shevchuk RM (2020). Possibilities of using satellite data to monitor the fire hazard of waste heaps in the L’viv-Volynskii coal basin / Proceedings of the National Forum “Waste Management in Ukraine: Legislation, Economics, Technology” (Ivano-Frankivsk, October 8-10, 2020) - K.: Center for Environmental Education and Information, С. 81-84. ISBN 978-617-7130-09-2. https://tinyurl.com/bdhkwza3

Gök D., Scherler D. and Wulf H. (2024) Land surface temperature trends derived from Landsat imagery in the Swiss Alps. The Cryosphere. Volume. 18, Issue 11, P. 5259-5276/ https://doi.org/10.5194/tc-18-5259-2024

Ivanov Ye. A., Kovalchuk I. P. (2024). Accumulation of mining wastes in the Lviv-Volyn coal basin: current conditions, problems and perspectives of management. Ivan Franko Zhytomyr State University. Ukrainian Journal of Natural Sciences. № 7. С. 75-84. https://doi.org/10.32782/naturaljournal.7.2024.8

Instruction on prevention of spontaneous combustion, extinguishing and dismantling of waste heaps (2008). RLALP 10.0-5.21-04. Kharkiv, Publishing House: Industry, 16 p.

Kovalchuk М.S. & Kroshko Yu.V. (2022). Certification of waste heaps of coal mining areas –the basis for the creation of their GIS-system and environmental impact assessment. Mining geology and Geoecology, 1(2), 35–51. https://doi.org/10.59911/mgg.2786-7994.2021.1(2).251868

Kroik G.A., Melnyk O.V. (2012). Patterns of distribution of man-made and toxic elements in coal mining and processing wastes of the Western Donbass. DNU Bulletin. Series: "Geology. Geography." - D.: DNU Publishing House, Vol. 14, No. 3/2, pp. 77-82. https://doi.org/10.15421/111219

Kumar, A., Ratnam, R., Krishna, A.P. (2021). Detection of Coal Mine Fire Using Landsat-8 OLI/TIRS Satellite Data in Ramgarh and Hazaribagh Coalfields, India. In: Rai, P.K., Singh, P., Mishra, V.N. (eds) Recent Technologies for Disaster Management and Risk Reduction. Earth and Environmental Sciences Library. Springer, Cham. pp 451–464 https://doi.org/10.1007/978-3-030-76116-5_23

Landsat Collection 2 Surface Temperature (2025). USGS. Landsat Missions. https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-temperature

Li Z.L., Tang B.H., Wu H., Ren H., Yan G.,. Wan Z, Trigo I. F., Sobrino J. A. (2013). Satellite derived land surface temperature: Current status and perspectives. Remote Sensing of Environment.— Vol. 131.—No. 12.— P. 14–37. https://doi.org/10.1016/j.rse.2012.12.008

Nadudvari A., Abramowitz A., Fabianska M., Misz-Kennan M., Ciesielczuk J. (2021). Classification of fires in coal waste dumps based on Landsat, Aster thermal bands and thermal camera in Polish and Ukrainian mining regions. International Journal of Coal Science & Technology. Volume 8, pages 441–456, https://doi.org/10.1007/s40789-020-00375-4

Panov B.S., Proskurnya Y.A. (1999). On technogenic mineralization of rock dumps of Donbass coal mines. Interuniversity scientific thematic collection “Geology of coal deposits”. - Ekaterinburg. - С. 241-249.

Poberezhsky A., Buchynska I., Shevchuk O., Mukan T. (2019). Mining complex of the Lviv-Volyn coal basin and its impact on the ecosystem of the region. Institute of Geology and Geochemistry of Combustible Minerals. National Academy of Sciences of Ukraine, Lviv, Geology & Geochemistry of Combustible Minerals. № 3 (180) -С. 52-59 https://doi.org/10.15407/ggcm2019.03.052

Prata, A. J., Caselles, V., Coll, C., Sobrino, J. A., & Ottlé, C. (1995). Thermal remote sensing of land surface temperature from satellites: Current status and future prospects. Remote Sensing Reviews, 12 (3–4), 175–224.

Sánchez, J. M., Coll, C., & Niclòs, R. (2021). Editorial for the Special Issue “Remote Sensing Monitoring of Land Surface Temperature”. Remote Sensing, 13 (9), 1765. 340 p. https://doi.org/10.3390/rs13091765

Sergeeva E.L. (2013). Automated analysis of the state of spoil heaps using remote sensing data based on GIS technology. Collection of research scientific works of the National Mining University. - Dnipropetrovsk: National Mining University, No. 41. - pp. 103-112. http://znp.nmu.org.ua/pdf/2013/41.pdf

Sergieieva K. L. (2016) Geoinformation Analysis of Areas with Slagheaps Using Satellite Imagery. Bulletin of Vinnytsia Polytechnic Institute. № 5, С.18-23. https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/1963/1964

Stankevich S. A., Filipovich V. E., Lubsky N. S., Krylova A. B.,. Kritsuk S. G, Brovkina O. V., Gornyy V. I., Tronin A.А. Intercalibration of methods for the land surface thermodynamic temperature retrieving inside urban area by thermal-infrared satellite imaging Ukrainian journal of remote sensing, (7), 12–21. https://ujrs.org.ua/ujrs/article/view/59

Wasilewski S.(2020). Monitoring the thermal and gaseous activity of coal waste dumps. Environmental Earth Sciences, Volume 79, Issue 20, article number 474. https://doi.org/10.1007/s12665-020-09229-3

Zhao-Liang Li, Hua Wu, Si-Bo Duan, Wei Zhao, Huazhong Ren, Xiangyang Liu, Pei Leng, Ronglin Tang, Xin Ye, Jinshun Zhu, Yingwei Sun, Menglin Si, Meng Liu, Jiahao Li, Xia Zhang, Guofei Shang, Bo-Hui Tang, Guangjian Yan, Chenghu Zhou (2022). Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications. Reviews of Geophysics, Volume 61, Issue 1. 77 р. https://doi.org/10.1029/2022RG000777

Published

2025-06-30

How to Cite

Mychak, A., & Filipovych, V. (2025). Satellite monitoring of fire hazard of mining facilities (on the example of waste heaps in the L’viv-Volynskii coal basin). Ukrainian Journal of Remote Sensing, 12(2), 10–19. https://doi.org/10.36023/ujrs.2025.12.2.282

Issue

Section

Earth observation data applications: Challenges and tasks