The main aim of this research is to examine the interpretation possibilities of images from the constellation of Sentinel satellites, i.e. Sentinel-1, and Sentinel-2, and to assess their suitability for the analysis of objects from category 01 Airfields according to the standardization document STANAG 3596. In the presented research analysis of chosen airbases in Europe was presented. In the course of the research, image data, both electro-optical and microwave data, were pre-processed appropriately, i.e. radiometric and geometric corrections, and filtrations were applied, in order to finally analyze and evaluate interpretations. In the research radar images in the C band, which are recorded by sensors placed on the satellites of the Sentinel-1 constellation, as well as electro-optical images acquired by multispectral sensors placed on the satellites of the Sentinel-2 constellation, were used. In addition, the fusion of microwave and electro-optical data was made to verify the usefulness of data integration for reconnaissance purposes. Then the Sentinel data was combined with high-spatial-resolution data from Google Earth, in order to improve the quality and to verify the usefulness of the integration of multitemporal data in the process of imagery interpretation and object detection. The analysis consisted of assessing the interpretability of images by the possibility of distinguishing specific objects on it. The results were next evaluated using high- spatial resolution open-source imagery data from Google Earth, and open source GIS data. The conducted analyses showed that the use of Sentinel image data in recognizing objects at airports seems to be justified due to their availability, although these should be objects of considerable size. In order to detect smaller objects, multi-resolution data integration should be applied, as showed in the research.