Ключевое слово: «arctic region»

The assessment of environmental conditions using satellite imagery processing remains a crucial area of scientific research, particularly in monitoring vulnerable Arctic regions. This study focuses on evaluating the impact of forest fires near the village of Bias-Kyuel in Yakutia using satellite imagery processing technologies. The research employs Sentinel-2 satellite imagery analysis and the Normalized Difference Vegetation Index (NDVI) as its primary method, examining data from July 18 to August 17, 2021, to assess vegetation changes before and after major forest fires. Through the processing and analysis of Red (B04) and NIR (B08) spectral bands with WGS 84 (EPSG:4326) coordinate system and resolution of 0.0000808 degrees per pixel in latitude and 0.0001766 degrees per pixel in longitude, the study created a detailed mask of burned areas. The analysis revealed significant NDVI value decreases in affected regions, with the total burned territory calculated at approximately 412 square kilometers. The study demonstrates the effectiveness of satellite imagery processing methods in quantifying environmental damage and monitoring ecosystem changes in remote Arctic regions.

In the modern world, where environmental problems are becoming increasingly urgent and the cost of traditional energy carriers continues to rise, the development of wind generators is gaining particular importance. One of the promising directions is wind energy, which is especially attractive due to its accessibility and efficiency. This article examines the possibility of creating an autonomous power supply system based on a wind generator made from an electric bicycle hub motor. The technical characteristics of the developed installation are presented, and the economic efficiency and payback period of the project are calculated for the conditions of the Arctic region of the Republic of Sakha (Yakutia). It is established that the estimated payback period is 14 months, which confirms the economic feasibility of applying this solution in remote and decentralized areas.