The aim of this research is monitoring of coniferous forests of Tukhlya forestry in Precarpathian region using medium and high resolution satellite images and images obtained from an unmanned aerial vehicle (UAV). Methodology. To monitor the condition of forests of Tukhlya Forestry, a technique based on using satellite images with different spectral characteristics and resolutions, images obtained from UAVs and, accordingly, their processing by different methods, was used. To substantiate the methods of further image processing and to develop effective approaches to the identification of areas with coniferous trees drying, spectrophotometric measurements of healthy and damaged coniferous vegetation were carried out. The analysis of the obtained spectral curves made it possible to select the appropriate ranges of the electromagnetic spectrum for the identification of damaged and dry vegetation. The research is based on using high and medium resolution satellite images, obtained from GeoEye-1 and Sentinel-2. Unmanned aerial vehicle surveying was used to obtain validation information and to analyse the obtained results. Results. Researches were conducted in the territory of Tukhlya forestry, Skole district, Lviv region. Three expeditions were carried out for field research. During the last expedition, surveying from the unmanned aerial vehicle were conducted for two test sites. For efficient using of spectral reflectance ranges, samples of different coniferous vegetation types were selected for spectrophotometric measurements. The analysis of the obtained spectral curves was used to select the vegetation indices that allow identification of damaged and healthy vegetation. To improve the interpretation capabilities of index images, a synthesized image from three vegetation indices was created. Controlled classification by maximum likelihood method was performed to determine the areas of sites with damaged coniferous vegetation. The obtained results were then analysed. Scientific novelty and practical significance. The scientific novelty is processing of the methods for detection of damaged and healthy coniferous vegetation in the territory of the Carpathian region. Spectrometric measurements of healthy and damaged vegetation are the theoretical basis, which makes it possible to substantiate the choice of spectral ranges for the most efficient separation of different types of coniferous vegetation and the choice of vegetation indices for their identification. The developed methodology of using remote sensing data for identification of damaged and healthy vegetation allows to detect not only dry and healthy vegetation, but also damaged vegetation. This will contribute to the timely cutting of such trees, which will not only save the healthy forest from further spread of pests, but also obtain wood that can still be used in the wood industry.