The full-scale war in Ukraine has caused extensive damage to residential, engineering, and transport infrastructure, creating an urgent need for the rapid acquisition of accurate geospatial data to support the effective planning of territorial community reconstruction. In this context, digital twins have emerged as integrated digital models that combine spatial, engineering, and analytical data to facilitate informed decision-making. This study aims to propose a conceptual framework for developing Digital Twins of territorial communities through the integration of laser scanning data, Unmanned Aerial Systems (UAS), and geoinformation technologies. The results demonstrate that the integration of laser scanning data, cadastral information, urban planning documentation, and aerial imagery enables the development of a comprehensive digital model of a territorial community. Such a model supports asset inventory, damage assessment, infrastructure condition monitoring, and the simulation of territorial development scenarios. The findings indicate that digital twins significantly improve the efficiency of spatial planning and the management of post-war reconstruction processes. It is concluded that digital twins represent a key instrument for the digital transformation of territorial governance in the context of post-war recovery and provide the foundation for the implementation of next-generation integrated geoinformation systems.
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