Land disturbance due to human economic activity can lead to serious deterioration of the vegetation cover or its destruction. Land reclamation is an important stage in their restoration. Assessment of the effectiveness of reclamation is based on an analysis of the state of the vegetation cover, and a key role in this process is played by the method of assessing vegetation using the Normalized Difference Vegetation Index (NDVI).In the course of the work, a comparative analysis of field and remote methods for monitoring vegetation cover was carried out to identify their advantages and disadvantages. The simplest, most accurate and less expensive method has been determined – determining the quality of vegetation cover using satellite images of the Earth.A vegetation method for assessing vegetation cover to analyze the implementation of reclamation work is proposed. The process of carrying out reclamation work in the event of severe contamination of the soil surface lasts for years and continues until the fertile soil layer is completely restored to a state suitable for its use in accordance with its intended purpose and permitted use.The NDVI is the most applicable in studying the vegetative capacity of plants, since it is the most sensitive to the concentration of chlorophyll in plant leaf tissues. The index is formed through spectral satellite images, which absorbs electromagnetic waves in the red spectrum and reflects in the near-infrared. The result is a complete spectral analysis, with which you can identify areas that need reseeding or additional fertilization. The index is moderately sensitive to climate and soil changes and may become saturated in densely vegetated environments.A study of satellite images was carried out to determine the NDVI. As an example, the object of study was taken – a land allotment site for the construction of a high-pressure water pipeline, located on the territory of the Sharansky district of the Republic of Bashkortostan. Maps of the distribution of the NDVI were compiled before construction (2020) and during reclamation (2021–2022). An analysis of the obtained data was carried out, the results of which revealed the possibility of reducing the restoration period from 3 years (according to the existing scheme) to 1 year.
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