The Empty Quarter of the Rub al-Khali desert.
(Photo: zambezi /Depositphotos)
Artificial intelligence has been a hot topic for years, if not decades.
Thats why satellite data was key.
The “Empty Quarter” of the Rub al-Khali desert. (Photo: zambezi /Depositphotos)
Then, we needed to have technology that can see beneath the sand.
The precision of this approach is impressive, with a proven accuracy within 50 centimeters.
It would be a big development for archaeological discovery in the region.
Photo: Ben-Romdhane, H., Francis, D., Cherif, C., Pavlopoulos, K., Ghedira, H., & Griffiths, S. (2023). Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE. Geosciences, 13(6), 179.https://doi.org/10.3390/geosciences13060179(CC BY 4.0)
These areas are still unexplored but we know they have cultural history, Dr. Francis says.
And as the method evolves, who knows?
The Empty Quarter of the Rub al-Khali desert.
Photo: Ben-Romdhane, H., Francis, D., Cherif, C., Pavlopoulos, K., Ghedira, H., & Griffiths, S. (2023). Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE. Geosciences, 13(6), 179.https://doi.org/10.3390/geosciences13060179(CC BY 4.0)
Photo: Ben-Romdhane, H., Francis, D., Cherif, C., Pavlopoulos, K., Ghedira, H., & Griffiths, S. (2023). Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE. Geosciences, 13(6), 179.https://doi.org/10.3390/geosciences13060179(CC BY 4.0)
The “Empty Quarter” of the Rub al-Khali desert. (Photo: zambezi/Depositphotos)
