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Applying remote sensing techniques to monitor green areas in Tashkent Uzbekistan

I. A. AslanovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, UzbekistanUzbekkhon MukhtorovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, UzbekistanRahimjon MahsudovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, UzbekistanUmida MakhmudovaTashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, UzbekistanSaida AlimovaNational University of Uzbekistan, Tashkent, UzbekistanLobar DjurayevaChirchik State Pedagogical Institute, Chirchik, UzbekistanOyatillo IbragimovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan
E3S Web of Conferencesjournal2021en
ABI

Abstract

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.

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