Land use and land cover (LULC) change are one of the most important signals of regional environmental monitoring and study. Recently, the pull of capital cities has snowballed, an increasing number of people moving to the cities, especially in developing countries. Consequently, as more people arrive at cities, the more pressure will be on land. Land price getting high and constructions try using open green areas. A wide variety of green areas of different sizes will be solve many urban diseases and ecological problems at the same time improve the quality and life of urban residents, as urban green area provides various ecosystem services. The green area includes parks, woodlands, nature reserves and bare lands. With the population increase and expansion of cities, an increasing amount of open area, woodland and bare land has been converted into construction land, buildings due to the increasing demands and residential land. For the accuracy assessment, we applied an automatically supervised classification using the software QGIS 3.18. The reference values were based on ground truth data and visual interpretation.

Acquisition of alternative energy resources using the modern Global Mapper software on an electronic digital map is an important process. This article analyses the possibility of using maps in the implementation of internationally acknowledged projects, as well as interactive services to the government, and the possibility of mapping alternative energy sources, synthesizing data, and developing management decisions through the development of innovative technologies. The research in this study is about determining optimal locations for the installation of solar panels and wind turbines. For the tests, Tashkent and Samarkand provinces were selected. Initially, the elevation of the provinces was determined by remote sensing and the elevation surface was created by interpolation. According to the data obtained from the regional hydrometeorological stations, the air temperature in the regions was taken and geovisualized as a vector layer. At the same time, the wind speed was mapped using the method of geostatistical analysis, which observed the annual average wind speed. On the basis of the highest parts of the earth’s surface and in areas with high temperatures, raster calculations were performed and the method for determining the most optimal place for installing solar panels was improved.