Peer-reviewed articles 17,970 +



Title: DETECTION OF THERMAL ANOMALIES AS A RESULT OF MILITARY ACTIONS IN UKRAINE BY REMOTE SENSING METHODS

DETECTION OF THERMAL ANOMALIES AS A RESULT OF MILITARY ACTIONS IN UKRAINE BY REMOTE SENSING METHODS
Oleksandr Trofymchuk; Vyacheslav Vishnyakov; Natalia Sheviakina; Viktoriia Klymenko; Olha Tomchenko
10.5593/sgem2022/2.1
1314-2704
English
22
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Wildfires are a problem all over the world. Plant and animal life are under threat of destruction. But this issue is especially relevant for Ukraine, where fires appear en masse throughout the country not only from weather factors but also from enemy shelling by the Russian army. In addition, there is the uncontrolled spread of fire to large areas of Ukraine due to limited access to emergency services. Because of hostilities, landmines, and the occupation of Ukrainian territory, Ukrainian rescuers and foresters are not always able to fully prevent and fight fires. To identify the facts of fires, and to determine the coordinates of fires that lead to large-scale fires in the specified conditions, space monitoring by methods of remote sensing of the Earth is effective.
Using remote sensing data, the authors present a methodology for identifying thermal anomalies, the scale of fires, tracing the direction of their spread, etc. With the help of satellite monitoring are determined fires, and the causes of their occurrence makes it possible to predict further spread and assess the affected areas. The publication presents the results of research on the use of remote sensing data on determining the thermal anomalies, hotbeds, and fires, proposed approach to monitoring of natural areas of Ukraine. The temperature activity in and near the Black Sea Biosphere Reserve was determined.
[1] Digest of the key consequences of the Russian aggression on the Ukrainian environment, May 20, 2022. Official portal of the Ministry of Environmental Protection and Natural Resources of Ukraine, 2022. https://mepr.gov.ua/news/39218.html
[2] Trofymchuk, O., Yakovliev, Y., Klymenko, V., Anpilova, Y. Geomodeling and monitoring of pollution of waters and soils by the earth remote sensing. International Multidisciplinary Scientific GeoConference - SGEM, 19(1.4), pp. 197-204, 2019. https://doi.org/10.5593/sgem2019V/1.4/S02.025
[3] Myrontsov, M., Karpenko, O. Radial characteristics of lateral logging in thin-bedded formation. 20th International Conference “Geoinformatics: Theoretical and Applied Aspects”. May 2021, Volume 2021, p.1-7, 2021. https://doi.org/10.3997/2214- 4609.20215521045.
[4] Myrontsov, M., Karpenko, O., Horbulin, V. Quantitative Method for Determining the Solution Error of the Inverse Problem in the Electrometry of Oil and Gas Wells. E3S Web of Conferences. Volume 280, p. 1-9, 2021. https://doi.org/10.1051/e3sconf/202128009003.
[5] San-Miguel-Ayanz, J., Ravail, N. Active fire detection for fire emergency management: potential and limitations for the operational use of remote sensing. Nat Hazards 35, 361–376, 2005. DOI:10.1007/s11069-004-1797-2
[6] Xikun Hu, Yifang Ban, Andrea Nascetti. Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach. International Journal of Applied Earth Observations and Geoinformation 101, 102347, 2021. doi.org/10.1016/j.jag.2021.102347
[7] Rostami, A., Shah-Hosseini, R., Asgari, S., Zarei, A., Aghdami-Nia, M., Homayouni, S. Active fire detection from Landsat-8 imagery using deep multiple kernel learning. Remote Sens. 14, 992, 2022. https://doi.org/10.3390/rs14040992
[8] Overview. ESA Sentinel Online. https://sentinel.esa.int/web/sentinel/userguides/sentinel-2- msi/overview
[9] Kostyuchenko Yu.V., Yushchenko M.V., Kopachevskyi I.M., Levynsky S. A procedure for integrated assessment of landscape fire risk using remote sensing data. Space science and technology, 17(6), 30–44, 2011. https://www.mao.kiev.ua/biblio/jscans/knit/2011-17/knit-2011-17-6-04.pdf
[10] Justicea, C., Gigliob, L., Korontzia, S., Owens, J., Morisette, J., Roy, D., Descloitresb, J., Alleaumed, S., Petitcoline, F., & Kaufman, Y. The MODIS fire products. Remote Sensing of Environment, 88 (1-2), 244–262, 2002. https://doi.org/10.1016/S0034-4257(02)00076-7
[11] Trofymchuk O., Zahorodnya S., Sheviakina N., Radchuk I., Tomchenko О. Remote Sensing Monitoring of Biotopes Distribution within Nature Reserve Area. Journal of Environmental Research, Engineering and Management. Vol.76. No. 3. p. 109-120, 2020. DOI:10.5755/j01.erem.76.3.25204
[12] Kreta D., Klymenko V., Anpilova Y. Remote sensing and GIS tools for spatial analysis of surface water quality and soil pollution. Ecological safety and nature management. V 4 (28). P. 120-127, 2018. http://esjournal.in.ua/article/download/155960/155403
[13] Gualdi B., Binet-Stephan E., Bahabi A., Marchal R., Moncoulon, D. Modelling Fire Risk Exposure for France Using Machine Learning. Appl. Sci., 12, 1635, 2022. https://doi.org/10.3390/app12031635
[14] Natural reserve fund of Ukraine. Black Sea Biosphere Reserve. Official site: https://wownature.in.ua/oberihaymo/biosferni-rezervaty-v-ukraini/chornomorskyybiosfernyy-rezervat/
conference
Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
303-314
04 - 10 July, 2022
website
8503
Thermal anomalies, Fires, Ecological Monitoring, Geographical Information Systems, remote sensing of the Earth, Assessment of Environmental Pollution