The objects of research were: agricultural lands, the processes of changing the state of agricultural lands (waterlogging, salinization, overgrowth of tree and shrub vegetation), remote sensing data of the earth. The purpose of the research is to develop an adapted technology for processing multi-time earth remote sensing data to identify and predict the processes of changing the state of agricultural land in the Omsk region. Key areas have been identified in nature by the types of degradation according to the coordinates of key areas identified by analytical methods of remote sensing materials processing (geo-linking of the image with the source material). Key areas in the forest-steppe and steppe zones have been identified on agricultural lands and studies have been conducted to study degradation processes. The analysis of three key areas showed that the processes of overgrowth and waterlogging can be identified using the use of multi-time satellite data by the method of overlay and analysis based on direct decryption features. And also, for the first time, a method based on the analysis of spectral characteristics for various time periods (week, month, year, several years) was used in this work, allowing to assess the productivity of the analyzed lands. The proposed identification principles will be applied for more extensive and accurate monitoring of agricultural land, the appointment of subsidies and control over their use, the compilation of forecast cartograms.
remote sensing of the earth (remote sensing), degradation, soil cover, overgrowth, salinization, waterlogging
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