Purpose. 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.
Activities and results achieved of the European Union financed project in Tajikistan is discussed.
In this paper a researches of methods for the controlled classification by the spectral distance, Mahalanobis distance and maximum probability to identify forests was conducted. As a materials for the research space images of the satellites Ikonos, QuickBird and test information from ground-based methods were used. As an outcome it was identified that the maximum probability method is the most efficient one for the forest classification issue.
There was developed the technique of a tourist map creating of the National Natural Park "Sinevir" using remote sensing data, tourist maps, digital elevation model ASTER and online resources by means of the software ArcGIS
The role of photogrammetric methods for creating spatial models of territories and objects exposed to emergency situations is analyzed, and examples of their application to assess the impact of floods and earthquakes are shown.