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