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As a result of different antropogeneous activities in the Russian North ecological pressure on forest tundra landscapes has increased strongly during last decades. Climatic conditions are extremely severe in the North. Natural renewal processes are very slow due to the low intensity of biological round. Vegetation species spread boundaries pass through the North regions. And all of that makes vegetation especially vulnerable to such products of antropogeneous activities as emissions of nonferrous smelting combines. For monitoring territories under industrial impact we need new approaches. These approaches should meet following requirements: considerable territory cover with the operational observation means; possibility to use such means in the regions, which are difficult of access; minimization of volume of field works and their expense as a consequence. Remote sensing meets all these requirements and could be supposed to be the most helpful methodical approach in the North regions. Our research showed a correlation between vegetation spectral characteristics and copper and nickel content in different parts of plants and in the soil. This correlation could be used for computer interpretation of spectral signatures and their classification according to the content of pollutants. That approach is very helpful for indication of pollutants contents in landscapes components and for monitoring landscapes state in the regions, which are difficult of access.