The article is devoted to the analysis of the efficiency of automated methods for distinguishing various types of objects on the earth's surface, which are both natural and rapidly occurring processes (fires, floods), as well as anthropogenic factors (construction, deforestation) in the synthesis of multi-time satellite images in ERDAS IMAGINE. Various methods were used to process synthesized multi-time images. Experiments to detect changes involved the use of the principal component method (in this case, components with less correlation were analyzed, which contain more information about changes), as well as correlation analysis of the synthesized image using the feature space. The implemented methods of detecting changes showed their efficiency, but none of them can give consistently high results when detecting changes in territories in automatic mode.

Presently, the current task is to automate the determination of the characteristics of forest areas ac-cording to remote sensing data. At the same time there is a large number of automated decryption algo-rithms that are actively used and provide an acceptable result in photointerpretation of medium and low spatial resolution multi-zone images. In processing of high and ultra-high resolution data, both new possibilities for determination of tax characteristics and certain difficulties related to efficiency reduction of algorithms using luminance characteristics arise. The aim of the study is to check the efficiency of the trees automated identification method and to determine their breed affiliation from the images ADS40 of the digital aerial camera. Proposed technique is based on a complex use of methods for controlled classification and identification of objects in the image by areal images. The result of the work done has shown, in the opinion of the authors, a significant efficiency of using the considered methodology on test data and the prospects for its further development.

The stages of creating a digital topographic plan of scale 1 : 2 000 in MicroStation and functional features of "Panorama-Editor" for further study of the possibilities of optimizing the technology of creating digital topographic plans in this software product are considered.

The article presents algorithmization of notation design process using computer technologies for environmental maps design. Cartographic models displaying natural resources are considered as an example. The results of model color design based on developed coloristic principles for the adjacent territory in the area of the “Sary-Uzen” test site of the former Semipalatinsk Nuclear Test Site are presented. As a solution of environmental mapping tasks, the authors have shown the possibilities of territories assessment and using the results to create and update thematic layers in the GIS.

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