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Purpose. The research aims to address the challenges posed by the integration of diverse methods, focusing on data collection techniques and level of detail (LoD) considerations, which facilitates the creation of detailed 3D models. The CityGML standard is employed for its ability to represent complex urban features, adapted here for mining environments. Methodology. Combining Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanning (TLS) technologies to collect data for open-pit and underground coal mines. These data are processed to generate point clouds, which are then used to create 3D models of mining structures using Sketchup and REVIT. Finally, these models are converted into the CityGML standard using FME SAFE software. Findings. Through the use of Unmanned Aerial Vehicle and Terrestrial Laser Scanning technologies, precise point cloud data for open-pit and underground structures are acquired. CityGML serves as a suitable framework for digital mine representation, offering standardized data organization and exchange. The proposed methodology optimizes data collection and processing procedures, ensuring accuracy and efficiency in model creation. Notably, the study introduces a nuanced approach to LoD selection, considering the complexity and specific requirements of different mining structures. Originality. The article innovatively combines UAV and TLS technologies with the CityGML standard to create comprehensive 3D GIS models for coal mines operating with both open-pit and underground methods, addressing the unique challenges of modeling diverse mining structures and terrain features. Practical value. The practical value of the article lies in its provision of a systematic approach using UAV and TLS technologies, coupled with the CityGML standard, to create accurate 3D GIS models for coal mines employing both open-pit and underground methods. This methodology enhances mine management efficiency, resource estimation accuracy, and safety assessment capabilities. [ABSTRACT FROM AUTHOR]