Analysis of the state of vegetation cover using remote sensing data

The article discusses the processing of satellite images using various methods for monitoring the state of vegetation. The complex application of vegetation property identification indices made it possible to assess the level of influence of various environmental factors showing the deterioration of vegetation cover in foothill areas. As a result, obtained, the uneven distribution of vegetation cover was determined using vegetation, soil, and water indices. Large and small areas of plant, aquatic, and soil objects have been identified that are interconnected according to various criteria, such as salinity, humidity, and high thermal brightness characteristics of the Earth's surface. A comparative assessment of the results obtained with official data from meteorological services is given.

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Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202562301027
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Analysis of the state of vegetation cover using remote sensing data

L. F. Sulyukova, Rasul Shamsiev, Z. Z. Shamsiev
E3S Web of Conferences
Remote Sensing in Agriculture
article

Analysis of the state of vegetation cover using remote sensing data

L. F. Sulyukova, Rasul Shamsiev, Z. Z. Shamsiev
article en

Abstract

The article discusses the processing of satellite images using various methods for monitoring the state of vegetation. The complex application of vegetation property identification indices made it possible to assess the level of influence of various environmental factors showing the deterioration of vegetation cover in foothill areas. As a result, obtained, the uneven distribution of vegetation cover was determined using vegetation, soil, and water indices. Large and small areas of plant, aquatic, and soil objects have been identified that are interconnected according to various criteria, such as salinity, humidity, and high thermal brightness characteristics of the Earth's surface. A comparative assessment of the results obtained with official data from meteorological services is given.

E3S Web of ConferencesVol. 623
Tashkent State Transport University (UZ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), National University of Uzbekistan (UZ)
Openalex Percentile: Top 93%
Remote Sensing in Agriculture
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