Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)

This study presents a methodological advancement in the digital reconstruction of archaeological landscapes through the integration of UAV-based LiDAR data and the Extended Matrix (EM) methodology. The research focuses on the medieval site of Torre di Castiglione (Conversano, Apulia), where extensive vegetation and complex topography have long hindered archaeological analysis. By combining high-resolution LiDAR data, magnetometric surveys, and archival documentation within a standardized EM workflow, the study establishes a transparent and scientifically traceable process for 3D virtual reconstruction. The multi-step EM approach—encompassing data collection, analysis, implementation, representation, and dissemination—was executed using open-source tools such as Blender, BlenderGIS, and EMtools, ensuring interoperability and reproducibility. The resulting virtual model visualizes both verified archaeological evidence and interpretative hypotheses, each coded according to confidence levels. Beyond revealing new insights into the site’s spatial organization and architecture, including the reinterpretation of a key “palazzetto” complex, the research demonstrates the broader applicability of EM to non-destructive archaeological investigations. This integration enhances both the scientific rigor and transparency of virtual reconstructions, offering a replicable framework for future studies of similar heritage contexts.

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Publication Details

Journal
Digital Applications in Archaeology and Cultural Heritage
Published
2025-10-04
DOI
https://doi.org/10.1016/j.daach.2025.e00464
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
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article

Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)

Maria Sileo, Nicodemo Abate, Nicola Masini, Alessia Frisetti et al.
Digital Applications in Archaeology and Cultural Heritage
3D Surveying and Cultural Heritage
article

Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)

Maria Sileo, Nicodemo Abate, Nicola Masini, Alessia Frisetti, Gabriele Ciccone, Antonio Minervino Amodio, Rosa Lasaponara, Giorgia Dato, Roberto Giuffredo
article en

Abstract

This study presents a methodological advancement in the digital reconstruction of archaeological landscapes through the integration of UAV-based LiDAR data and the Extended Matrix (EM) methodology. The research focuses on the medieval site of Torre di Castiglione (Conversano, Apulia), where extensive vegetation and complex topography have long hindered archaeological analysis. By combining high-resolution LiDAR data, magnetometric surveys, and archival documentation within a standardized EM workflow, the study establishes a transparent and scientifically traceable process for 3D virtual reconstruction. The multi-step EM approach—encompassing data collection, analysis, implementation, representation, and dissemination—was executed using open-source tools such as Blender, BlenderGIS, and EMtools, ensuring interoperability and reproducibility. The resulting virtual model visualizes both verified archaeological evidence and interpretative hypotheses, each coded according to confidence levels. Beyond revealing new insights into the site’s spatial organization and architecture, including the reinterpretation of a key “palazzetto” complex, the research demonstrates the broader applicability of EM to non-destructive archaeological investigations. This integration enhances both the scientific rigor and transparency of virtual reconstructions, offering a replicable framework for future studies of similar heritage contexts.

Digital Applications in Archaeology and Cultural HeritageVol. 39
CNR-IMIOT – Consiglio Nazionale delle Ricerche - Istituto di Metodologie Integrate per l’Osservazione della Terra (IT), National Research Council (IT), University of Bari Aldo Moro (IT)
Openalex Percentile: Top 62%
3D Surveying and Cultural Heritage
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