Al-Baha’s distinct architectural style a tourist draw, says expert

The architectural style of Al-Baha is inspired by the mountainous features of the region. (SPA)
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Updated 07 October 2025
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Al-Baha’s distinct architectural style a tourist draw, says expert

  • Traditional buildings are designed in ways that take into account environmental conditions such as terrain and climate
  • It intends to help modernize the Saudi urban landscape, while keeping the character and tradition of the country’s architecture alive

RIYADH: The distinctive architectural style of Saudi Arabia’s Al-Baha region, included earlier this year in the national Saudi Architecture Characters Map, is one of the region’s draws for tourism, an expert told the Saudi Press Agency.

Abdullah bin Abdulqader Haridi, associate professor of architecture and building technology at Al-Baha University, said that the region’s style, influenced by its natural mountainous features, also contributes to energy efficiency.

Haridi said there were three main styles in the region: traditional, transitional, and contemporary.

Al-Baha’s architecture has distinctive features, including forts, external staircases, patterned doors and windows and the Zafir column style.




The architectural style of Al-Baha is inspired by the mountainous features of the region. (SPA)

Traditional buildings are designed in ways that take into account environmental conditions such as terrain and climate, as well as regional customs that encourage gathering in designated spaces.

Adhering to traditional styles allows for the development of real estate projects that complement local identity, motivating investors to adopt these standards, Haridi added.

The Saudi Architecture Characters Map was introduced by Crown Prince Mohammed bin Salman in March, designating 19 architectural styles unique to the Kingdom’s regions.

It intends to help modernize the Saudi urban landscape, while keeping the character and tradition of the country’s architecture alive.

Haridi said that the Al-Baha architectural style is energy-efficient, using natural building materials available locally.




The architectural style of Al-Baha is inspired by the mountainous features of the region. (SPA)

Mohammed bin Salem Al-Ghamdi, 73, has worked building stone houses in the region for decades.

He told the SPA that the difference in climate and terrain between the areas of Sarat and Tihama led to a difference in building styles due to the construction materials available.

Al-Ghamdi said that the ancient architecture in Al-Baha was characterized by its  reliance on nature, as the houses were built from local stones such as granite and basalt rocks decorated with myrrh stones, and roofed with juniper woods covered with clay, in harmony with the surrounding environment.

In recent years, ancient architecture in Al-Baha has witnessed a resurgence of interest from people who have taken the initiative to restore and revive their heritage houses.

Many have also been inspired by the old style in the construction of new houses, using stones, patterns and decorations inspired by the history of the place.


Saudi researchers develop AI system for camel herders

Updated 14 November 2025
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Saudi researchers develop AI system for camel herders

  • AI-powered drone system can recognize and track camels from the air 
  • Prof. Basem Shihada and his team at KAUST developed the low-cost system

RIYADH: A research team at King Abdullah University of Science and Technology has created a low-cost, AI-powered drone system that can recognize and track camels from the air.

The system promises an affordable option for camel herders to continue one of Saudi Arabia’s oldest labors and for scientists to learn more about camel migration patterns and habits, according to a KAUST press release.

Created by Professor Basem Shihada and his labmates, the system uses inexpensive commercial drones and cameras to enable camel herders to track their camels in real time without relying on expensive GPS collars or satellite connections.

The team used a single drone-mounted camera to capture aerial footage of small camel herds in Saudi Arabia, then trained their AI model using machine learning. The model revealed new insights into the animals’ behaviors.

“We found their migration patterns were not random but showed identifiable patterns,” said KAUST scientist Chun Pong Lau, who was also involved in the project.

The release added that camels, especially elders, showed coordinated grazing migration, covering long distances throughout the day, but always returned to their herder by sunset. They also showed high sensitivity to the drone’s sound, which is why the KAUST scientists kept the drone at least 120 meters above the ground.

For centuries, camels have been central to Arabian life by providing transport, food and a cultural link to the desert. Today, they contribute more than SR2 billion ($534 million) annually to the Saudi economy through industries such as food, textiles and tourism.

However, herding remains a challenge, with camels roaming up to 50 km a day across isolated terrain. This mobility often leads to road accidents, overgrazing and loss of livestock.

As a next step, Shihada and his colleagues plan to collect video of larger camel herds of more heterogeneous sizes and colors to train their AI system for higher performance.