{"id":209595,"date":"2025-10-13T06:59:19","date_gmt":"2025-10-13T06:59:19","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/209595\/"},"modified":"2025-10-13T06:59:19","modified_gmt":"2025-10-13T06:59:19","slug":"artificial-intelligence-uncovers-5000-year-old-civilizations-buried-beneath-the-worlds-largest-and-harshest-desert","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/209595\/","title":{"rendered":"Artificial Intelligence Uncovers 5,000-Year-Old Civilizations Buried Beneath the World\u2019s Largest and Harshest Desert"},"content":{"rendered":"

In the blistering emptiness of the Rub\u2019 al Khali desert\u2014where temperatures soar above 120\u00a0\u00b0F (48.89 \u00b0C) and winds sculpt dunes the size of skyscrapers\u2014a quiet revolution is taking place. No tents. No excavation crews. Just a constellation of satellites and lines of code scanning the sand for secrets.<\/p>\n

Archaeologists, long hindered by the punishing conditions of the Arabian interior, are now turning to artificial intelligence to search where the human eye and shovel cannot. In a region often associated with silence and stillness, digital whispers are revealing echoes of ancient life.<\/p>\n

The discoveries are not speculative. Recent surveys in the United Arab Emirates, powered by a blend of synthetic aperture radar (SAR) and machine learning, have revealed signs of human settlements stretching back 5,000 years. These aren\u2019t just blips on a map\u2014they\u2019re potential chapters of history, previously erased by time and sandstorms.<\/p>\n

\"\"(a) Left inset: Saruq Al-Hadid archaeological site (24\u00b039\u203247\u2033 N 55\u00b013\u203255\u2033 E). (b) Metalworking slag interspersed with metal artefacts, ceramics, and other cultural material. (c) Slag artefacts on the dune surface extending to over 1 km2 post-excavation. Credit: Ben-Romdhane\u00a0et al., 2023<\/p>\n

Digital Archaeology in the Dunes<\/p>\n

At the center of this transformation is Saruq Al-Hadid, an archaeological site first excavated in 2002 near the southern edge of Dubai. The site, rich in slag, ceramics, and metalworking debris, has long hinted at a thriving Bronze Age hub<\/a>. Yet most of its expanse remained hidden beneath mobile dunes\u2014until researchers applied SAR imaging and deep learning models<\/a> to map it remotely.<\/p>\n

The team behind the project, led by scientists from Khalifa University and Sorbonne University Abu Dhabi, published their findings in Geosciences<\/a>. Using radar data from the ALOS-2\/PALSAR-2 satellite and ultra-high-resolution WorldView-3 images, they trained AI systems to recognize features typical of human settlements\u2014linear paths, clusters, material density.<\/p>\n

\"\"Worldview-3 colour-balanced RGB orthomosaic of the Saruq Al-Hadid site located in the mobile dune fields of the northeastern edge of the Rub\u2019 Al-Khali desert, captured on 26 November 2019. (a) Western zone of observation. (b) Eastern zone of observation.<\/p>\n

They weren\u2019t guessing. The algorithm was fed known archaeological patterns and ground-truthed data, allowing it to distinguish between natural formations and human structures <\/a>with a resolution of up to 50 centimeters. When the predictions were later verified by field teams, many of the suspected sites aligned with buried features previously missed by traditional surveys.<\/p>\n

Beyond Dubai: Mapping Ancient Trade Routes<\/p>\n

What began as a localized project is now expanding across the Arabian Peninsula. Researchers are using the same methods to trace ancient trade networks that once connected oases and coastal settlements across what are now some of the most inhospitable environments on Earth.<\/p>\n

\"TheThe basic stratigraphy of the study area consisting of the geological bedrock of the Barzaman Formation and the overlying longitudinal dune ridges. Prosopis cineraria trees, also known as Ghaf, can be seen in the interdunal area (CREDIT: Geosciences)<\/p>\n

\u201cYou\u2019re not just finding isolated structures,\u201d said Dr. Diana Francis, a lead investigator on the project. \u201cYou\u2019re seeing corridors of human movement, economies, migration routes\u2014entire civilizations that had adapted to live in the desert long before modern infrastructure.\u201d<\/p>\n

These findings support historical theories about the Incense Route, a trade system that moved frankincense and myrrh from southern Arabia to the Mediterranean as early as the 3rd millennium BC. Until now, much of that system was hypothetical, drawn from sparse written records and a handful of excavated sites. With SAR and AI, those invisible highways are beginning to reappear.<\/p>\n

The Machine-Learning Revolution in Archaeology<\/p>\n

AI has already shown promise in other parts of the world. In 2023, researchers from Yamagata University in Japan used it to identify new Nazca Lines<\/a> in Peru 21 times faster than manual analysis. What\u2019s different in Arabia is the sheer difficulty of the terrain\u2014and the scale of what remains undiscovered.<\/p>\n

SAR\u2019s advantage is its ability to penetrate sand and dry soil, unlike optical imaging, which struggles with glare and distortion. When paired with AI, it creates a powerful tool that can process vast landscapes quickly and highlight anomalies in the data that might otherwise go unnoticed by the human eye.<\/p>\n

Still, the technology has limits. Modeling accuracy depends on clean satellite data, which is often degraded by dust, wind, and shifting topography. There\u2019s also the challenge of false positives\u2014natural features mimicking human patterns. To address that, researchers are integrating neural networks with backpropagation algorithms, refining predictions with every verified hit or miss.<\/p>\n","protected":false},"excerpt":{"rendered":"In the blistering emptiness of the Rub\u2019 al Khali desert\u2014where temperatures soar above 120\u00a0\u00b0F (48.89 \u00b0C) and winds…\n","protected":false},"author":2,"featured_media":209596,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[256,254,255,64,63,105],"class_list":{"0":"post-209595","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-au","12":"tag-australia","13":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/209595","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=209595"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/209595\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/209596"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=209595"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=209595"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=209595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}