Maqola

Assessment of changes in vegetation cover of reservoir banks using GIS technologies

Furkat Gаppаrоv“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39, Kori Niyazi Street, Tashkent, 100000, UzbekistanDilbar Abduraimova“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39, Kori Niyazi Street, Tashkent, 100000, UzbekistanАziz Khаydаrоv“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39, Kori Niyazi Street, Tashkent, 100000, UzbekistanDinislam Atakulov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39, Kori Niyazi Street, Tashkent, 100000, UzbekistanMushtariybonu Gafforova“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39, Kori Niyazi Street, Tashkent, 100000, UzbekistanShohzod Yаkhshiev“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39, Kori Niyazi Street, Tashkent, 100000, Uzbekistan

BIO Web of Conferencesjournal2024en

ABI

Annotatsiya

The article presents the dependence of changes in the vegetation cover of reservoir banks on geographical location, the area of shallow water depths up to 2 meters at the NPA and the configuration of the object. The analysis was carried out with the help of GIS technologies and maps were created to visualize the change in vegetation cover of reservoirs. Shurtna, Charvak and Kapchagai reservoirs were selected as objects. The results showed that temperature, location, shape, soil and water composition of the reservoir play a major role in overgrowth. It was also revealed that aquatic plants are adapted to seasonal temperature fluctuations. In spring and summer, when water temperature increases, active growth of aquatic vegetation begins. In fall and winter, when temperatures decrease, plant growth slows down and some species may go dormant. Landsat OLI satellite imagery was used to collect the data. This high-resolution satellite captures objects at 30 m/pixel resolution and has 11 spectral layers. These layers and resolutions allow large objects to be analyzed at high resolution

Mavzular

Soil and Environmental Studies Engineering and Agricultural Innovations Water Resources and Management

Identifikatorlar

DOI: 10.1051/bioconf/202414103020

Iqtiboslar va manbalar

0 ta iqtibos20 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar · Tez orada