This article is a study using GIS technologies aimed at assessing and analyzing changes in the areas of types of plant communities under the influence of oil and gas industry facilities on the island. Sakhalin. Purpose (Object): The purpose of this study is to assess the degree of change in the areas of types of plant communities under the influence of oil and gas indus-try facilities on the island. Sakhalin. Methods: Methodology for assessing changes in the areas of plant communi-ties under the influence of oil and gas industry facilities on the island. Sakhalin in-cludes 7 stages, consisting of spatial reference of a raster image (vegetation map of the island) to a base map, as well as the subsequent creation of polygonal objects based on the received data and conducting spatial analysis in ArcGIS software. The final stage involves determining the degree of change using specified criteria. Findings: Most of the types of plant communities on Sakhalin Island belong to the conditionally unmodified class with the percentage of the territory occupied by oil and gas industry facilities less than 0.5%. We assigned the following types of plant communities to this class: white birch-larch grass-shrub forests in place of dark coniferous forests (0.00%); reed grass communities in place of green moss and grassy dark coniferous forests (0.17%); etc. The weakly modified class in-cludes 4 types of communities: larch mid-taiga lichen forests with dwarf cedar (0.75%); thickets of wild rosemary in place of larch green moss-ledum forests (0.74%); larch mid-taiga green moss-ledum forests (0.69%); thickets of dwarf ce-dar and alder (0.59%). None of the existing types of plant communities on Sakhalin Island belongs to the moderately or highly modified class, since the area of land occupied by oil and gas industry facilities does not exceed 2%. Conclusions: Assessment of the degree of change in areas occupied by various types of plant communities under the influence of oil and gas industry facilities on the island. Sakhalin makes it possible to determine the most disturbed types of communities and classify them according to the degree of change. This information is useful in view of the relevance of the issue of environmental pollution by oil and gas industry facilities, as well as from the point of view of the possibility of developing measures to protect and protect the environment. In addi-tion, based on the data obtained, it is possible to predict further changes in the de-velopment of Sakhalin shelf projects and the construction of new onshore infra-structure.