Reconstructing history: 3D high-resolution GPR analysis based on SAR discoveries in the ancient Siniyah Island of Umm Al-Quwain, United Arab Emirates

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Authors: Sonia Santos‐Assunção, Diana Francis, Charfeddine Cherif, Moamen Ali, Mohammed Y. Ali
Cited by: 1
References: 19

Abstract

The Siniyah Island in Umm Al-Quwain is one of the pearls of the United Arab Emirates. Archaeologists have discovered vivid evidence that brought to light a vibrant multicultural past occupation. Among the substantial findings were tools of prehistoric settlements, a Christian monastery and a wide marine trading network between the Arabian Gulf and other far regions. These revelations deliver a valuable depiction of the socio-economic, cultural, and religious dynamics of the Siniyah Island prior to the Islamic era. Here, we present for the first time on the island, A high-resolution Ground Penetrating Radar (GPR) survey was carried out in three priority areas delineated through an integrated Synthetic Aperture Radar (SAR) analysis and machine-learning–based spatial screening. SAR tomography provided intermediate-scale subsurface assessment, reducing spatial uncertainty prior to field investigation. The subsequent GPR surveys enabled detailed imaging and three-dimensional reconstruction of buried structures, allowing validation and refined characterization of candidate archaeological features. Despite the anticipated theoretical hostile conditions to investigate electromagnetic waves, GPR results perfectly align with the geometry of the unearthed ancient structures. In addition to the known archaeological sites, GPR data, analyzed through B-scans, C-scans, and three-dimensional models, reveal a high concentration of sharp anomalies resembling archaeological features, suggesting that the island was once home to a high-density ancient population.

Fields of Study & Subjects

Geophysical Methods and Applications Archaeological Research and Protection Maritime and Coastal Archaeology

Publication details

Journal / source
International Journal of Applied Earth Observation and Geoinformation
Publisher
Elsevier BV
Volume
152
Pages
105410–105410
Publication date
17 June 2026
Language
EN