Vegetation cover monitoring based on Earth remote sensing data

The purpose of the study is to develop a methodology for analyzing the state and changes of vegetation cover based on remote sensing data for planning and implementing land restoration measures. To achieve this goal, an analysis of spatiotemporal changes in vegetation cover was carried out, approaches to identifying areas suitable for forest restoration were developed, and a methodology for assessing the state of forests was tested. The study was conducted on the territory of the Tyumen region district forestry of the Tyumen region, with a total area of 1,2988.55 ha. The geographic information system MapInfo Professional was used for visualization and data processing. The results are presented in the form of thematic maps reflecting the distribution of vegetation and changes in forest cover, including deforestation and restoration zones. It was found that in the period from 2020 to 2024, the area of young trees and shrubs increased from 163.6 thousand hectares to 468.4 thousand hectares, which naturally indicates the natural regeneration of forests. The findings demonstrate the high conservation potential of the region with the dominant position of coniferous forests, and the low proportion of damaged lands indicates the stability of ecosystems.