Geoinformatics and Remote Sensing

Anotácia v hlavnom jazyku práce: This doctoral thesis focuses on the analysis of spatial relationships between modeled and perceived heat stress in the urban environment. In the context of ongoing climate change and the increasing frequency and intensity of extreme temperature events, urban heat stress has become a critical issue in terms of quality of life, public health, and sustainable urban planning. The main objective of the thesis is to identify spatial patterns, discrepancies, and geographical determinants of heat stress perception by comparing modeled indicators of thermal load with the subjective perceptions of urban residents. The research integrates quantitative modeling of bioclimatic heat stress indices with qualitative and quantitative data obtained through questionnaire surveys. The methodological framework is based on the application of geoinformatics tools, spatial analysis techniques, and statistical methods that enable the assessment of agreement and divergence between objectively modeled heat stress indicators and residents’ subjective experiences across different urban areas. Particular attention is given to identifying influencing factors such as urban morphology, building density, green infrastructure, terrain characteristics, and socio-demographic attributes that may shape the differences between physically determined and perceived heat stress. The results contribute to a deeper understanding of the complex interactions between the physical characteristics of urban environments and human thermal perception. Furthermore, the findings provide a valuable basis for the design of effective climate adaptation strategies, climate-sensitive urban planning, and the enhancement of urban resilience to extreme heat conditions.

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