The study is devoted to the development of a methodology for three-dimensional identification of real estate objects based on terrestrial laser scanning data. The relevance of the study is due to the need to improve the accuracy, efficiency and automation of inventory and cadastral registration processes in the context of digitalization of real estate management. The paper presents a comprehensive methodology that includes the stages of loading and processing a point cloud, automated classification, building a digital elevation model, segmentation and recognition of objects. The main attention is paid to the use of NanoCAD and ReClouds tools for creating accurate 3D models, using the example of a pipeline overpass. The developed methodology allows to reduce time and financial costs, increase the accuracy of measurements and provide visibility due to visualization of objects. The implementation of the methodology helps to improve the quality of cadastral data and the formation of a single digital real estate database. The possibility of integrating 3D models with other information systems, including urban planning and municipal platforms, is also emphasized. The results of the study can be used in engineering surveys, infrastructure monitoring and inspection of industrial facilities.