Pittaluga, SimoneCabiddu, DanielaMortara, MichelaSpagnuolo, MichelaComino Trinidad, MarcMancinelli, ClaudioMaggioli, FilippoRomanengo, ChiaraCabiddu, DanielaGiorgi, Daniela2025-11-212025-11-212025978-3-03868-296-72617-4855https://doi.org/10.2312/stag.20251337https://diglib.eg.org/handle/10.2312/stag20251337The creation of an urban digital twin for the city of Matera, including 3D geometric models of the city landscape and heterogeneous information coming from different data sources, highlighted the need for a graphical user interface capable of integrating complex 3D urban scenes with geo-referenced data and knowledge (e.g., from real-time sensors, administrative information systems, algorithmic analysis and simulation, manual annotation) and making them easily accessible to a range of users with different levels of expertise. From these requirements, a new tool Matera3D has been developed as a specialized software platform for visualizing, analyzing and documenting 3D urban models. The application integrates point cloud and triangle mesh management with interactive semantic annotation, CityGML compliant dictionaries, and basic morphological analyzes, such as shadow computation and street slope measurements, as an initial set of processing tools that will be extended in the future. The software organizes all project data, including geometry, annotations, metadata, and scalar fields embedded in the geometry, within a coherent folder structure to ensure interoperability and efficient sharing. The software can show data from different sources and of different types in an integrated 3D view to facilitate research and practical applications in urban planning, environmental assessment, and infrastructure management beyond the popular 2D (GIS) approach.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Graphics systems and interfaces; Rendering; Human-centered computing → Geographic visualizationComputing methodologies → Graphics systems and interfacesRenderingHuman centered computing → Geographic visualization10.2312/stag.202513373 pages