Geospatial Digital Twins as a Framework for Monitoring, Conservation and Recovery of Cultural Heritage

War Damage Assessment and Post-War Reconstruction

Authors

First and Last Name Academic degree E-mail Affiliation
Taras Ievsiukov Sc.D. ievsiukov_t [at] nubip.edu.ua National University of Life and Environmental Sciences of Ukraine
Kyiv, Ukraine
Oleksii Kutsenko No kutsenkijob [at] gmail.com National University of Life and Environmental Sciences of Ukraine
Kyiv, Ukraine
Vitalii Kovtun No Vitalii.kovtun [at] nung.edu.ua Ivano-Frankivsk National Technical University of Oil and Gas
Ivano-Frankivsk , Ukraine
Liubov Dorosh Ph.D. liubov.dorosh [at] gmail.com Ivano-Frankivsk National Technical University of Oil and Gas
Ivano-Frankivsk, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 28.08.2026 - 12:35
Abstract 

Under wartime conditions, the preservation and future recovery of Ukraine’s architectural heritage have become particularly urgent. The large-scale damage and destruction of historic buildings require comprehensive strategies for their protection, conservation, and recovery based on accurate, integrated, and up-to-date spatial information. A precise geometric representation of a heritage object provides a fundamental basis for documenting its spatial characteristics, architectural form, and structural elements, thereby supporting restoration design, damage assessment, resource planning, and the reduction of errors during conservation and reconstruction works. In this context, the study examines the methodological foundations of using geospatial digital twins as a framework for the long-term monitoring, conservation, and recovery of cultural heritage objects. Unlike conventional three-dimensional models, a digital twin is considered an integrated information environment that combines geometric and spatial data with metadata, historical information, condition-monitoring results, and information on conservation and restoration measures. The proposed approach is illustrated by the digital documentation and BIM-based modeling of a historical architectural object using terrestrial SLAM/LiDAR scanning and point cloud data. The results demonstrate the potential of integrating point clouds, BIM, and geospatial data into digital twins that can serve as a digital information reserve for heritage preservation, damage assessment, emergency conservation, and future recovery.

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