Vegetation monitoring in the South Aral Sea region by remote sensing and GIS

Abstract

Vegetation plays an important role in the study of the environment at the local level. Because plants help to understand the negative changes taking place in the region in a timely manner. One of the most effective ways to get reliable and high-quality information about the condition of plants in a short time is remote sensing. The research selected one of the southern Aral Sea regions of Uzbekistan, which is closest to the dried-up part of the Aral Sea. The research examined changes in the condition of water bodies and sparse and dense vegetation over the past 9 years. The research was conducted using ArcGIS software from the family of modern GIS technologies, using data from Landsat 8. Based on the data obtained from these methods, it was found that the water sources and sparse and dense vegetation areas change over months and years. At the same time, depending on the level of vegetation cover, the periods of agricultural pasture use and fodder harvesting were determined. Using these methods, we are able to make the necessary predictions for the use of pastures.