Analysis of the destruction caused by Russian aggression by a semi-automatic method using remote sensing data

The purpose of the research is the analysis of space images before and after the occupation of the Kyiv region by the Russian army, for the purpose of calculating the quantitative indicators of the destruction of infrastructure objects by a semi-automatic method in the Erdas Imagine software package. A space image of the territory of the village Moshchun near Kyiv, obtained from the Maxar satellite in 2020, and a space image obtained from the Maxar satellite in 2022, after the partial occupation of the Kyiv region were used as input data for conducting research. The studies were performed in the DeltaCue software module. Unlike many other similar programs, which use only the raster subtraction function to obtain the difference index (namely, based on the geometric characteristics of the objects), the DeltaCue module performs filtering according to three possible filters: spectral segmentation; incorrect registration of pixels of a pair of images; spatial filtering. Depending on the satellite images, you can use certain filters. As a result of processing of remote sensing data for the territory of the village Moshchun before and after the Russian occupation, it was determined that 663 houses were destroyed. Analysis of space imagery has shown that this method is effective for first-order operational damage estimation. The disadvantage of this method is that it does not take into account the floor areas of buildings, but only their projection, as a result of which it gives rather rough results only for quick operational assessment and calculation (for example, occupied territories). For a more accurate calculation of damages, it is necessary to carry out an on-site inspection.