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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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ARTIFICIAL INTELLIGENCE IN DOCUMENTING, ANALYZING AND REIMAGINING SOIL ARCHITECTURE: A COMPARATIVE STUDY BETWEEN SAUDI ARABIA (DIRIYAH/AL-ULA) AND THE UAE (AL AIN)

Authors: Saif Alneyadi and Asma Saeed Almaamari;

ARTIFICIAL INTELLIGENCE IN DOCUMENTING, ANALYZING AND REIMAGINING SOIL ARCHITECTURE: A COMPARATIVE STUDY BETWEEN SAUDI ARABIA (DIRIYAH/AL-ULA) AND THE UAE (AL AIN)

Abstract

This study examines the roles of AI, 3D imaging, and augmented reality in the documentation and reconstruction of earthen architecture in Diriyah (Saudi Arabia) and Al Ain (UAE). Undertaking a preliminary study within the framework of the theory of environmental adaptation, the study shows the role of new technologies in the preservation of heritage. The study analyzes how emerging technologies such as photogrammetry, LiDAR, and BIM are used respond in the generation of precise digital twins of heritage sites, with the incorporation of AI and machine learning enabling deeper insights into the data. It further examines the role of augmented reality in public outreach and education about the sites and virtual reconstructions of the sites. The findings stress the importance of the inclusion of AI workflows to earthen architecture, which enhances its preservation, cultural significance, and scholarly inquiry and community heritage projects. Then study concludes with recommendations to the heritage community, educators, and policy makers about the widespread adoption of digital intelligent tools for sustainable preservation of the Gulf and the Arab world.

Related Organizations
Keywords

Artificial Intelligence, Earthen Architecture, 3D Modeling, Augmented Reality, Heritage Preservation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average