Using drone-based lidar, researchers mapped two medieval cities, Tashbulak and Tugunbulak, in Uzbekistan, revealing detailed urban structures significant to the Silk Road’s history.

The first use of drone-based lidar in Central Asia has enabled archaeologists to uncover details of two newly discovered medieval trade cities high in the mountains of Uzbekistan.

The team used this cutting-edge technology to map the archaeological scale and layout of the cities, which are among the largest ever documented in the mountainous parts of the Silk Road, a broad network of ancient trade routes that connected Europe and Eastern Asia.

The research, led by Michael Frachetti, professor of archaeology in Arts & Sciences at Washington University in St. Louis, and Farhod Maksudov, director of the National Center of Archaeology in Uzbekistan, was recently published in Nature.

A drone captured images of Tugunbulak in 2018. Credit: Michael Frachetti

High-Resolution Insights into Ancient Urbanism

The drone-lidar scans provided remarkably detailed views of the plazas, fortifications, roads, and habitations that shaped the lives and economies of highland communities, traders, and travelers from the sixth through 11th centuries in Central Asia. The two cities are located in rugged terrain 2,000 to 2,200 meters above sea level (roughly comparable to Machu Picchu in Peru), making them unusual examples of thriving mountain urbanism.

A drone captured images of Tugunbulak in 2018. Credit: Michael Frachetti

Unveiling the Complexities of Mountain Urbanism

The smaller city, today called Tashbulak, covered about 12 hectares, while the larger city of Tugunbulak reached 120 hectares, “making it one of the largest regional cities of its time,” Frachetti said.

“These would have been important urban hubs in central Asia, especially as you moved out of lowland oases and into more challenging high-altitude settings,” he said. “While typically seen as barriers to Silk Road trade and movement, the mountains actually were host to major centers for interaction. Animals, ores, and other precious resources likely drove their prosperity.”

“This site had an elaborate urban structure with specific material culture that greatly varied from the lowland sedentary culture,” Maksudov said. “It’s clear that the people inhabiting Tugunbulak for more than a thousand years ago were nomadic pastoralists who maintained their own distinct, independent culture and political economy.”

A drone captured images of Tugunbulak in 2018. Credit: Michael Frachetti

Technological Advancements in Archaeological Exploration

Lidar technology is commonly used to map archaeological landscapes blocked by dense vegetation, but it has additional value where vegetation is sparse, such as the mountains of Uzbekistan. “Drone operation is strictly regulated in Uzbekistan, so this discovery is also thanks to the political support and permissions we received through local partners and government,” Frachetti said.

The centimeter-level scans allowed for advanced computer analysis of the ancient archaeological surfaces, providing an unprecedented view of the cities’ architecture and organization. “These are some of the highest-resolution lidar images of archeological sites ever published,” Frachetti said. “They were made possible, in part, because of the unique erosion dynamics in this mountain setting.”

Michael Frachetti. Credit: Washington University in St. Louis

A Blend of Modern Tech and Ancient Discovery

Frachetti, Maksudov, and their team first discovered the highland cities using predictive computer models and old-fashioned foot surveys between 2011 and 2015, tracing presumed routes of the Silk Road in southeastern Uzbekistan. The project took years to materialize. The extra time ultimately proved to be a blessing, allowing the researchers to make the most of the latest advances in drone-based lidar. “The final high-res maps were a composite of more than 17 drone flights over three weeks,” Frachetti said. “It would have taken us a decade to map such large sites manually.”

Frachetti and graduate students in his Spatial Analysis, Interpretation, and Exploration (SAIE) Lab compiled the drone-lidar data into 3D models, which were passed to Tao Ju, a professor of computer science and engineering, and Xiaoyi Liu, an undergraduate student, both at the McKelvey School of Engineering at WashU. Ju and Liu applied computational algorithms to analyze the archaeological surfaces and auto-trace millions of lines to predict likely architectural alignments. The final step was to match the digital output with comparable architectural cases, revealing a huge ancient city otherwise invisible to the naked eye. “The project reflects a truly interdisciplinary effort,” Ju said. “The analysis techniques have potential applications in many domains that utilize lidar scans.”

Future Excavations and Implications

Both cities warrant much closer inspection, Frachetti said. Preliminary digging at one of the fortified structures at Tugunbulak suggests that the fortress — a building protected by three-meter-thick rammed earth walls — might have been a factory where local metalsmiths turned rich deposits of iron ore into steel. Such industry would have been a key feature of the city and its economy.

It’s already clear that Tashbulak and Tugunbulak weren’t just remote outposts or rest stops. “The Silk Road wasn’t just about the endpoints of China and the West,” Frachetti said. “Major political forces were at play in Central Asia. The complex heart of the network was also a driver of innovation.”

Frachetti hopes to use the same combination of on-the-ground detective work and drone-based lidar to get pictures of other high-altitude settlements along the Silk Road and beyond. “We could really change the map of urban development in medieval Asia,” he said.

Reference: “Large-scale medieval urbanism traced by UAV–lidar in highland Central Asia” by Michael D. Frachetti, Jack Berner, Xiaoyi Liu, Edward R. Henry, Farhod Maksudov and Tao Ju, 23 October 2024, Nature.
DOI: 10.1038/s41586-024-08086-5

The expedition was supported by the National Geographic Society.

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