This paper presents a methodological framework for the documentation, management, and interpretation of rescue archaeology data through integrated information systems and three-dimensional databases. The research addresses the critical challenge of preserving archaeological memory in contexts where excavation processes inherently lead to the destruction of physical evidence.
The proposed approach combines integrated survey techniques—including terrestrial laser scanning, photogrammetry, and UAV acquisition—with the development of a structured digital archive linking stratigraphic data, textual records, and 3D models. As illustrated in the workflow diagrams (Fig. 3–5, pp. 767–769), multi-temporal point clouds and photogrammetric models are aligned and processed to reconstruct excavation phases, enabling the visualization of stratigraphic evolution over time. A key contribution is the implementation of a three-dimensional GIS environment in which each stratigraphic unit is semantically defined and associated with database records through a one-to-one relationship, allowing query-based interaction and thematic visualization (Fig. 10, p. 775).
The system supports in situ data acquisition through digital forms and mobile devices, improving the efficiency and accuracy of documentation under time-constrained conditions. Results demonstrate that integrating 3D models with relational databases enhances data accessibility, interpretability, and long-term preservation, while enabling multi-scalar analysis from stratigraphic detail to urban context. The study concludes that three-dimensional information systems can act as dynamic repositories of archaeological knowledge, bridging survey data, archival records, and interpretative processes.