Study of the dynamics of LULC change using remote sensing data and GIS technologies (case study of the Kashkadarya region)

In studies of global environmental change and heat balance, land surface temperature plays a crucial role in determining radiation budgets as a control for climate models. Particularly in quickly growing cities, the significance of precise and timely data characterizing the kind and amount of land resources and changes over time is growing. We used satellite imagery from 2000, 2007, 2015, and 2022 to create a system for identifying changes in land cover. The five categories in the study area were built-up area, plantation, watershed, agricultural land, and pasture. The maps showed that from 2000 to 2022, rural or developed land increased from 12.1% to 46.3% of the total area, while agricultural land, plantations, water bodies, and pastures covered the entire study area. It decreased from 91.88% to 47.6%. The results showed that the area of cities (many built up) has increased dramatically. In contrast, grasslands, agricultural land, water bodies, and plantations have clearly decreased from 2000 to 2022. The remote sensing and GIS techniques used in this study proved effective, reduced time to analyse city expansion, and have been found to be useful tools for assessing the effects of urbanization based on satellite imagery over the years. GIS technologies provide precise and affordable methods for tracking land cover change over time, which may be utilized as management choices and guidance. The results show patterns of land use and cover change in Kamashi district and highlight the potential of remote sensing.