Abstract
The results of study of the spatial differentiation of forest using field data, remote sensing, and map data are presented. Different classification approaches are used while analyzing the diversity of forest communities, i.e., ecological-dominant, ecological-topological, and dynamical. The interpolation of local chatacteristics of plant associations and syntaxonomic units at the upper levels using the data of spectral satellite imagery and quantitative methods of processing allow to use in mapping important information on the structure and properties of vegetation. The results of our studies include thematic maps of the specific parameters of forest and a 1: 100000-scale vegetation map of the central part of Murmansk Province. The role of natural and anthropogenic factors is reflected in the legend to the map.
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