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<p>India’s heritage sites, rich in cultural and traditional significance, face increasing threats from both natural and human-induced factors. To protect these historic structures and support the vision of Viksit Bharat, robust documentation and preservation strategies are essential. Historic building information modelling (HBIM) offers significant advantages for the documentation and management of cultural heritage sites. Although HBIM is gaining momentum as a tool for heritage conservation in India, traditional methods for HBIM development rely on manual processes, lacking automated or semi-automated methods. Recent advancements in point cloud data acquisition, particularly through ground-based remote sensing technologies like terrestrial LiDAR and close-range photogrammetry, provide a promising avenue for automating HBIM workflows. These technologies enable precise, non-invasive documentation, capturing intricate architectural details while minimizing structural impact. This study proposes an advanced framework employing the Scan-to-BIM approach for the heritage documentation of the historic Kelaghat Shiva Temple in Dehradun, Uttarakhand. The dimensions of the Kelaghat Temple model, such as length, width, and height, closely matched the ground truth data, with an average error of − 0.29% and RMSE of 0.028&#xa0;m. The proposed method integrates high-resolution point cloud data to generate parametric models up to levels of development (LOD) 300, enabling accurate and consistent interpretation of intricate architectural elements essential for detailed heritage representation. This HBIM-based framework lays the groundwork for digital twin creation, enabling sustainable, data-driven, and long-term management, monitoring, and conservation of heritage sites.</p>

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Historic Building Information Modelling Framework Using Terrestrial LiDAR for Heritage Documentation and Digital Twin Creation

  • 期刊论文

  • 发表日期：

    2026年4月4日

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  • Anurupa Goswami,
  • Madhavan Sridhar,
  • Hina Pande,
  • Poonam S. Tiwari,
  • Shefali Agrawal

摘要

India’s heritage sites, rich in cultural and traditional significance, face increasing threats from both natural and human-induced factors. To protect these historic structures and support the vision of Viksit Bharat, robust documentation and preservation strategies are essential. Historic building information modelling (HBIM) offers significant advantages for the documentation and management of cultural heritage sites. Although HBIM is gaining momentum as a tool for heritage conservation in India, traditional methods for HBIM development rely on manual processes, lacking automated or semi-automated methods. Recent advancements in point cloud data acquisition, particularly through ground-based remote sensing technologies like terrestrial LiDAR and close-range photogrammetry, provide a promising avenue for automating HBIM workflows. These technologies enable precise, non-invasive documentation, capturing intricate architectural details while minimizing structural impact. This study proposes an advanced framework employing the Scan-to-BIM approach for the heritage documentation of the historic Kelaghat Shiva Temple in Dehradun, Uttarakhand. The dimensions of the Kelaghat Temple model, such as length, width, and height, closely matched the ground truth data, with an average error of − 0.29% and RMSE of 0.028 m. The proposed method integrates high-resolution point cloud data to generate parametric models up to levels of development (LOD) 300, enabling accurate and consistent interpretation of intricate architectural elements essential for detailed heritage representation. This HBIM-based framework lays the groundwork for digital twin creation, enabling sustainable, data-driven, and long-term management, monitoring, and conservation of heritage sites.