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This study is based on an interdisciplinary approach to the prospection of archaeological sites impacted by modern agricultural plowing activity. We applied remote sensing, combined with geophysical, geochemical, and archaeological methods at Kushmanskoye III — a medieval Finno-Ugric site in the Cheptsa River basin, northern Udmurtia (9th–13th centuries AD). As a result of many years of plowing, the site cannot be visually demarcated, and visual traces of its extent have been obliterated. Scientifi c methods included aerial photography from unmanned vehicles (visual range, thermal, and multispectral imaging), geophysical techniques (resistivity and magnetometry surveys, ground penetrating radar, and electrical resistivity tomography), and soil studies (grain size composition, micromorphology, and chemical and biological analyses of soil cores). As a result, we effectively traced the boundaries of the site and of its “household periphery”, delineating areas with various degrees of disruption. Our research identifi ed two lines of defensive constructions, previously invisible on the surface. Our fi ndings have enabled us to initiate revision of the site’s status in the register of state-protected archaeological resources. The location of geophysical anomalies, caused by buried features, reveals a regularized row layout to the site. The results are supported by those of archaeological surveys.

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Area vegetation objects occupy significant part on a satellite images therefore the study of area vegetation imagery is an important task. Particular qualities of the satellite images interpretation are mainly determined by the process of image creation and the investigation purposes. To solve the tasks of recognition of the vegetation different types it needs different methods but the result is not always satisfactory. Analysis of the task of vegetation different types recognition allows to differentiate the objects in the images according to the degree of their distinguishability