Data-Driven Documentation: Techniques for Historic Buildings After Anthropogenic and Natural Hazards

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This study examines the challenges and opportunities in digitizing historic buildings following two distinct disaster events: the 2020 Beirut Port Explosion and the 2021 Quad State Tornado. Through these case studies, this research explores the critical role of rapid digital documentation in preserving cultural heritage and informing structural resilience strategies. The process of extracting key structural, architectural, and urban attributes from 3D point cloud models is detailed, highlighting the potential for this data to inform predictive modeling and enhance disaster preparedness. By comparing the methodologies and outcomes from both case studies, lessons are derived for future structural engineering focused documentation efforts, emphasizing the need for systematic pre-disaster documentation, high-resolution capture of critical structural elements, and strategic accessibility planning. Ultimately, this research seeks to bridge the gap between digital documentation and structural engineering applications to develop more data-driven approaches for protecting and preserving cultural heritage sites against future disasters.

Original languageEnglish (US)
Title of host publicationSpringer Series on Cultural Computing
PublisherSpringer Science and Business Media Deutschland GmbH
Pages89-112
Number of pages24
DOIs
StatePublished - 2026

Publication series

NameSpringer Series on Cultural Computing
VolumePart F987
ISSN (Print)2195-9056
ISSN (Electronic)2195-9064

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Science Applications

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