Kukhtenkov Dmitry Andreevich, Postgraduate student of the Department of Geography, Geoecology and Environmental Management, Faculty of Natural Sciences, State University of Education
Abstract
This article focuses on the comprehensive geo-environmental assessment of urbanized areas through the integration of remote monitoring data, information-based modeling, and field validation methods, with a particular emphasis on the use of a modern software package designed to combine diverse environmental information into a unified analytical system. The work was based on the development and practical implementation of an integrated digital platform that combines the processing of satellite data (MODIS, Landsat 8–9), the modeling of climatic and environmental processes (using CMIP6 forecasts and local meteorological datasets), and the verification of the results through ground-based environmental monitoring in Moscow over the past five years. The methodological basis of the study is the synthesis of remote sensing technologies, climate modeling, and geoinformation analysis, which allows us to build spatio-temporal models of urban ecology dynamics and assess anthropogenic impact in various natural and socio-economic conditions. The analysis showed that the integration of these technological and methodological approaches provides a high degree of reliability in assessing environmental conditions, revealing the spatial differentiation of vegetation degradation, the stability of urban heat islands, and the concentration zones of air pollutants within the Moscow agglomeration. The results obtained confirm the practical value of the proposed system as an effective decision support tool for scientists, urban planners, and policymakers, providing a fact-based basis for adaptive environmental management and sustainable urban development in the context of accelerating climate and anthropogenic transformations. The article was prepared on the basis of a report at the 2nd International Scientific and Practical Conference “Science and Technology” (19-20.11.2025, State University of Management).
KEYWORDS: geo-environmental assessment, remote sensing, information modeling, environmental monitoring, satellite data processing, climate change modeling, GIS analysis, urban ecology, environmental risk mapping, spatial analysis, decision support systems, sustainable urban development, Moscow, anthropogenic impact, environmental forecasting.
Download article GEOECOLOGICAL ASSESSMENT OF TERRITORY BASED ON REMOTE MONITORING AND INFORMATION AND MODELING MODELS
