Ab s t r a c t. The efficiency and quality of modern city management are directly linked to the relevant monitoring. Improving the efficiency and validity of the obtained data on the urban environment is possible due to the automation of the system of urban objects identification on digital space and aerial photographs, which involves determining their changes. Therefore, a knowledge base (data), which consists of a set of rules, facts, an inference mechanism that can be implemented through the use of deep neural network or hybrid (fuzzy neural network) models, is therefore needed. This academic paper proposes the technology of formal presentation of the information technology construction for the development of a knowledge base on the identification of urban structures on digital space and aerial photographs in automated monitoring of the urban environment. The developed technology identifies an interdependent set of phases, with the possibility of further parallelization of sub-stages, taking into account the peculiarities of knowledge representation (formalization) on the identification of urban structures on digital space and aerial photographs in automated monitoring of the urban environment. K e ywor d s : information technology; knowledge base; deep neural network; fuzzy set; automated monitoring; urban environment.