GEOINFORMATION MONITORING OF SPATIAL DYNAMICS OF SURFACE TEMPERATURE FIELDS AND URBAN AND ENVIRONMENTAL INDICATORS OF THE RESORT CITY OF PYATIGORSK

Abstract

The international community has been concerned about climate change and the increasing anthropogenic impact since the last century, however, effective methods to minimize the negative impact have not yet been developed. The article is devoted to the development of a methodology for geoinformation monitoring of the spatial distribution of surface temperature fields in the resort city of Pyatigorsk of the Caucasian Mineral Waters and the identification of correlations between the fields of surface temperature and urban and environmental indicators (landscaping and built-up areas). The aim of the study is to assess the influence of anthropogenic factors on the formation of microclimatic conditions of the urban environment and identify the most vulnerable areas in terms of thermal comfort of the population. Maps of the spatial dynamics of surface temperature anomalies have been obtained and patterns of changes in the temperature regimes of urban areas depending on the level of urbanization and the degree of landscaping have been identified. The results of the study are important for optimizing urban planning policy, improving the quality of life of citizens and preserving the unique natural potential of the Caucasus Mineral Waters Region. The methods of remote sensing of the Earth, cartographic analysis and statistical data processing are used. Modern remote sensing technologies simplify the analysis of indicators by providing objective data and reducing the resource intensity of ongoing research. Despite the established relatively low statistical reliability of the revealed correlations between the temperature of the earth's surface and the levels of landscaping and built-up, the use of geoinformation monitoring methods confirms the expediency due to the availability of remote satellite images that provide a detailed study of individual fragments of urban areas and record the dynamics of spatial reorganization of green areas, their transformation into built-up areas within a given chronological period.