Abstract
At the present stage of social development traditional contact methods of studying the territory features are inferior to other, less costly and more profitable technologies. Such technology is automation of space imagery information interpretation. It allows to minimize scope of field works and it is economically and managerially profitable method of territory analysis. So, in the work the methods of digital analysis and automatic Earth remote data sensing interpretation are used for identification of genetic soil types. During the research conditions of the land has been determined by calculation and index images analysis. The application of interpretational signs had allowed to identify genetic soil types. The methodology and the results of the analysis can serve as a basis for solving the problems of updating soil maps.
Highlights
At the present stage of social development traditional contact methods of studying the territory features are inferior to other, less costly and more profitable technologies
The purpose of this study is the application of methods for automating the remote sensing data (RSD) analysis for finding-out of genetic soil types
The tasks are to determine of vegetation and soil conditions using the SAVI soil index and to map soil types identified by interpretational signs
Summary
At the present stage of social development traditional contact methods of studying the territory features are inferior to other, less costly and more profitable technologies. The tasks are to determine of vegetation and soil conditions using the SAVI soil index and to map soil types identified by interpretational signs. For soil types interpretation it is advisable to use images of the spring and autumn period, when the vegetation is more sparse or absent at all.
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