In the summer, Dr. Gino Caspari’s day starts at 5:30 a.m. in Siberia, where he studies the ancient Scythians with the Swiss National Science Foundation. There, he looks for burial places of these nomadic warriors who rode through Asia 2,500 years ago. The work isn’t easy, from dealing with extreme temperatures, to swamps covered with mosquitos. But the biggest challenge is staying one step ahead of tomb raiders.
It’s believed that more than 90% of the tombs — called kurgans — have already been destroyed by raiders looking to profit off what they find, but Gino is looking for the thousands he believes remain scattered across Russia, Mongolia and Western China. To track his progress, he began mapping these burial sites using Google Earth. “There’s a plethora of open data sources out there, but most of them don’t have the resolution necessary to detect individual archaeological structures,” Dr. Caspari says, pointing out that getting quality data is also very expensive. “Google Earth updates high-res data across the globe, and, especially in remote regions, it was a windfall for archaeologists. Google Earth expanded our possibilities to plan surveys and understand cultural heritage on a broader geographic scale.”
While Google Earth helped Dr. Caspari plan his expeditions, he still couldn’t stay ahead of the looters. He needed to get there faster. That’s when he met data scientist Pablo Crespo and started using another Google tool, TensorFlow.