Monitoring of agricultural lands was carried out using remote sensing of the Earth to determine the zones of military action in the territory of the village of Yagidne of the Bakhmut Territorial Community of the Donetsk Region during August 4, 2021 - July 4, 2024. For this purpose, Sentinel-1 images containing the calibrated backscatter intensity (Sigma0) in VV polarization were processed. The resulting images were combined into a temporal stack and the change detection tool in the SNAP program was applied. As a result, the areas of significant changes were highlighted and the zones of damage to agricultural lands from the conduct of hostilities were displayed. It has been proven that the use of radar data to determine the zones of military operations on agricultural lands contributes to more effective risk management and provides the necessary information for making informed decisions, providing high accuracy and detail of images of the earth's surface regardless of weather conditions and time of day in order to detect changes in the structure fields, destruction of infrastructure and other consequences of military actions.
Babiichuk S., Tomchenko O., Pikul S. (2024). Radar research in remote sensing of the Earth. Application of Sentinel-1 radar data and for determining zones of destruction of urban landscapes by the method of detecting changes in different time images. URL: https://doi.org/10.5281/zenodo.11552321. (in Ukrainian).
Chetverikov B. V., Kalynych I. V. (2022). The method of applying the data of remote sensing of the earth in the assessment of the consequences of emergency situations: monograph. Lviv, 120 p. (in Ukrainian).
Dankevych V. E., Dankevych E. M. (2019). Monitoring of agricultural lands using remote land sensing systems. Economics of AIC, 8, 27-36. (in Ukrainian).
Glotov V., Byala Ya. (2022). Monitoring of spatio-temporal geodynamic changes in the composition of land categories on the example of the region of the city of Stebnyk based on the data of remote sensing of the earth. Geodynamics, 1 (32), 5-15. (in Ukrainian).
Kochergin L., Kimeichuk I. (2023). Geoinformational monitoring of changes in forest areas covered with forest vegetation in Cherkasy region using radar data. Bulletin of the Malinsky Vocational College, 2. URL: https://visnyk.mltk.co.ua/article/view/294355/287129. (in Ukrainian).
Sentinel Hub EO Browser (2024). EO Browser. URL: https://apps.sentinel-hub.com/eo-browser. (in Ukrainian).
Stupen R., Ryzhok Z., Stupen N., Stupen O. (2022). The method of creating agricultural thematic maps in geoinformation systems using the method of automatic unsupervised classification. International Scientific and Technical Conference on Computer Sciences and Information Technologies, 2022-November, pp. 301-304. (in English).
Stupen R., Ryzhok Z., Stupen N., Stupen O., Dudych H. (2022). Methods of building a digital relief model using the application of geoinformation. International Conference of Young Professionals GeoTerrace 2022. URL: https://doi.org/10.3997/2214-4609.2022590013. (in English).