Russian Federation
Russian Federation
UDC 504.06
UDC 528.9
The scientific article considers the methodological and applied aspects of integrating digital spatial data from various fields into the system of geoecological monitoring of the urban environment. The aim of the study is to form a holistic model for analyzing the sustainability and changes in urban areas using modern digital tools – 3D laser scanning, remote sensing and geographic information systems. Using Moscow as an example, the practical implementation of the developed scheme is shown, environmental stress zones are identified and prospects for using complex spatial data for managing the urban environment are outlined. In particular, the results of our study confirm that vertical urbanization combined with a decrease in green space increases the environmental burden, especially in the central areas of the metropolis. Areas with a sharp decrease in NDVI and an increase in temperature coincide with areas of dense urbanization, while the most sustainable areas are those with a high percentage of green space and low building density. Transitional areas demonstrate potential risks of environmental degradation, especially in areas of active construction with underdeveloped infrastructure. The practical value of the model developed and presented in this publication is that it identifies areas of environmental stress for prioritizing urban planning decisions, creates a foundation (basic parameters) for automated real-time monitoring based on updated satellite data, and justifies the need and feasibility of using an integrated model for environmental impact assessment (EIA) when planning new facilities. Additionally, the developed integrated model can be used as a basis for creating a digital twin of an urban area focused on environmental monitoring tasks. The practical value of the model developed and presented in this publication is that it identifies areas of environmental stress for prioritizing urban planning decisions, creates a foundation (basic parameters) for automated real-time monitoring based on updated satellite data, and justifies the need and feasibility of using an integrated model for environmental impact assessment (EIA) when planning new facilities. Additionally, the developed integrated model can be used as a basis for creating a digital twin of an urban area focused on environmental monitoring tasks. The article substantiates the need for a multi-level approach to information processing, proposes a data integration scheme that provides spatio-temporal analysis of key geoecological indicators. The presented results demonstrate the high information content and practical significance of digital methods in the system of environmental monitoring of the urban area.
digital data, 3D scanning, GIS, remote sensing, urban environment, sustainability, spatial analysis
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