Landscape small-scale mapping and sustainable development

This paper deals with capabilities and methods of analysis of remote information. The objective of the analysis is preparation of the preliminary landscape map on the basis of Landsat image classification. Dichotomic grouping of the data was performed using K-means method and various remote metrics. On each level iteration procedure was used. Classification result provide identification of various conditions of landscape cover on the basis of various classification levels detailed more and more on following levels. Classification provides grounds for detail identification of natural zonal types of landscapes. In this connection residential areas and significantly transformed natural areas are identified as well. Comparison of classification results with content of forestry map of USSR (1973) of scale 1:1 000 000, and geobotanical map of scale 1:4 000 000, allows reliable identification of basic types, of landscape cover.