The results of determining deforestation and forest vegetation growth for a given territory from 2006 to 2020 based on remote sensing data are presented. A method for selecting a threshold for the allocation of cut-down areas is proposed if information about the territory for an earlier year is known. At the same time, using it, areas of forest vegetation and clearings are highlighted in the image. After that, the differences between these sites from each other are determined for six vegetation indices: Normalized difference vegetation index (NDVI), Soil Adjusted Vegetation Index (SAVI), Atmospheric Resistant Vegetation Index (ARVI), Enhanced Vegetation Index (EVI), Vegetation Index (GCI), and Structure Insensitive Pigmentation Index (SIPI). The greatest differences between the forest vegetation and clearings were obtained for the SAVI, EVI, and GCI indices. Using the differences between the forests and clearings, masks of deforestation and vegetation growth were constructed according to the index images of 2006 and 2020. It is shown that the differences in areas in the allocation of cuttings and growth based on the EVI and SAVI indices do not exceed 10.3%. When comparing the EVI and GCI indices, the difference is 57.2%. This result indicates the unreliability of the GCI vegetation index and confirms the correctness of the values of deforestation and growth obtained using the EVI and SAVI indices. © 2023 American Institute of Physics Inc.. All rights reserved.