The paper presents an analysis of the problem of invasive plant spread, particularly Sosnovsky's hogweed, in the territory of the Udmurt Republic, based on satellite monitoring methods of multispectral space images from the Landsat 8 OLI satellite. At this research stage, a method for detecting invasive plants by calculating two vegetation indices has been tested — the normalized difference vegetation index (NDVI) and the chlorophyll relative index (ClGreen). Analyzing satellite images from two periods, namely May and August, allowed for the calculation of NDVI and ClGreen indices. May was chosen to track the rapid growth of Sosnovsky's hogweed and determine its spread areas, while August represents the period of maximum vegetation compared to other plants. Comparing the two vegetation indicators with the results of field research revealed satisfactory coincidence, with the difference not exceeding 26.56% and not being less than 11.10%. The obtained results indicate the possibility of successfully applying this method for mapping the spread of Sosnovsky's hogweed, and in the future, using the method for administrative purposes to organize measures against this aggressive invasive plant species.
invasive plants, multispectral images, Landsat 8, vegetation indexes, Sosnovsky's hogweed
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