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Title: ANALYSIS OF THE CONSEQUENCES OF MILITARY OPERATIONS: INTEGRATION OF SPECTRAL INDICES AND REMOTE SENSING TO ASSESS AFFECTED AREAS
ANALYSIS OF THE CONSEQUENCES OF MILITARY OPERATIONS: INTEGRATION OF SPECTRAL INDICES AND REMOTE SENSING TO ASSESS AFFECTED AREAS

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Roman S. Molikevych
10.5593/sgem2023/2.1/s10.35
10.5593/sgem2023/2.1
1314-2704
978-619-7603-57-6
English
23
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Photogrammetry and Remote Sensing
This article is devoted to the analysis of the consequences of military actions using the integration of spectral indices and remote sensing to assess the affected areas. Military conflicts have significant impacts on the natural and human environment, and accurately quantifying the extent of damage is an important task for recovery and humanitarian assistance. This paper examines the role of spectral indices such as the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Normalized Burn Ratio (NBR) in damage detection based on remote sensing. These indices provide information on the state of vegetation, changes in the water regime, and fire damage. The use of remote sensing, in particular high-resolution images, as an effective tool for obtaining data on affected areas is also considered. Combining spectral indices with other geographic data and machine learning algorithms allows for the creation of a detailed damage map and the classification of areas by degree of damage. The examples of analysis given in the article are based on the Kherson region in Ukraine. The use of spectral indices and remote sensing made it possible to identify affected areas, establish the level of damage, and direct resources for recovery. The article presents the importance of integrating spectral indices and remote sensing for effective analysis of the consequences of military operations. This will help ensure a quick and accurate assessment of affected areas, which can be used to develop recovery strategies and provide humanitarian assistance.
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[2] Trofymchuk, O., Vishnyakov, V., Sheviakina, N., Klymenko, V., & Tomchenko, O. (2022). Detection of thermal anomalies as a result of military actions in Ukraine by remote sensing methods. International Multidisciplinary Scientific GeoConference: SGEM, 22(2.1), 303-313.
[3] Witmer, F. D. (2008). Detecting war-induced abandoned agricultural land in northeast Bosnia using multispectral, multitemporal Landsat TM imagery. International Journal of Remote Sensing, 29(13), 3805-3831.
[4] Rijal, S. (2017). Monitoring and Assessment of Military Installation Land Condition under Training Disturbance Using Remote Sensing. Southern Illinois University at Carbondale.
[5] Ivaniuta, S. (2023). Assessment of countermeasures against threats to the environment from Russian military aggression. Scientific Collection «InterConf+», (29 (139), 209-215.
[6] Serhii, A. S., Vyshnevskyi, V. I., & Olena, P. B. (2022). The Use of Remote Sensing Data for Investigation of Environmental Consequences of Russia-Ukraine War. Journal of Landscape Ecology, 15(3), 36-53.
conference
https://doi.org/10.5593/sgem2023/2.1/s10.35
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Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian 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; Russian Acad Arts; Turkish Acad Sci.
277-282
03 - 09 July, 2023
website
9115
spectral indices, remote sensing, affected areas, damage assessment, postconflict analysis, war

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