This paper describes a simplified method of mapping of the ur-ban environment surface to obtain a map of the thermal anomalies distribu-tion and study the structure of the urban heat island. Those maps allow evaluating or planning the urban microclimate optimization methods and studying the effect of land cover type on the site temperature. The article discusses the processing of five satellite images for the summer and winter from 2002 to 2019. We propose a simpler and more automated processing of thermal images for Landsat 7 and Landsat 8. The stages of automatic atmospheric correction according to the DOS1 method and calculation of the emissivity with surface classification are considered. Image processing was carried out in the QGIS software package using the Semiautomatic Classification Plugin extension. As a result, thermal anomalies in Chelya-binsk were localized and a comparison of the thermal map for the specific region before and after urbanization was made.

The paper describes a number of simplified methods of mapping of the urban environment surface temperature in order to study the structure of the urban heat island. It is very important to take into account the climatic and environmental variables of the territories when planning modern cities and settlements. To solve such problems, methods of remote sensing data are used increasingly. The study of multispectral satellite images provides more information about the characteristics of objects on the earth’s surface, as well as data on the distribution of various types of land use. Maps of the earth’s surface temperature (LST) can be used for studying the urban microclimate and localization of temperature anomalies of the city, as well as for urban planning tasks. The article considers the operation of processing a series of satellite images of urban areas for the summer period, followed by the study of temporary changes in the temperature portrait of the city. The paper considers the use of semi-automatic methods for obtaining satellite images in the thermal field, as well as a separate study of images in the near-infrared field to search for bright point sources of heat. Radiometric and atmospheric correction was performed on satellite data using the QGIS package and the Semiautomatic Classification Plugin extension. Based on the results of the study, thermal anomalies were localized in the city, and the boundaries of the heat footprint of new neighborhoods were determined.

Numerical simulation of wind flow around 4-building complex in hot climate conditions is described in order to assess a wind comfort in the courtyard area. The solution of the air flow around the multiply building complex geometry including the using of various numeral simulation software packages is presented in this article. The article also provides the subsequent comparison of the results obtained from specialized and simplified software packages (ANSYS FLUENT, Autodesk Flow design). Use of the numeral simulation in conditions of technogenic relief and complicated construction is relevant at the present time. This method allows significantly reducing the costs of undoing mistakes and to speed up the problem solving. An explicit demonstration of the results is also a very important criterion for choosing the methods and numeral simulation software. Use of modern methods of CFD-data visualization in real time can greatly simplify the interpretation of simulation results for non-professional users.

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