New Software Can Predict Landslides Weeks Before They Happen
New Software Can Predict Landslides Weeks Before They Happen
Published on September 05, 2018 at 01:00PM
An anonymous reader quotes a report from Smithsonian: Australian researchers may have found a way to detect landslides as far as two weeks in advance, giving residents time to evacuate and engineers the opportunity to shore up slopes. Using AI and applied mathematics they've developed a software that can identify the subtle signs of an impending slide, signs that would be invisible to the naked eye. "Right now, a lot of the predictions [about where landslides will happen] are based on someone's gut instinct on the location," says Antoinette Tordesillas, a professor at the School of Mathematics and Statistics at the University of Melbourne, who co-led the research. "We don't rely on gut instinct. We want to develop an objective method here." To develop the software, Tordesillas and her team used radar data from mining companies, which produce extremely detailed information of the surface movement of slopes. The team took the data and looked for patterns, eventually figuring out which networks of movements indicated unstable locations. They also used data from a landslide-prone Italian volcano to help develop the algorithm. The software can also incorporate data about other landslide risk factors, like rainfall and erosion, making the targeting even more precise. The data used for monitoring can come from radar based on the ground, on satellites or even in drones.
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Published on September 05, 2018 at 01:00PM
An anonymous reader quotes a report from Smithsonian: Australian researchers may have found a way to detect landslides as far as two weeks in advance, giving residents time to evacuate and engineers the opportunity to shore up slopes. Using AI and applied mathematics they've developed a software that can identify the subtle signs of an impending slide, signs that would be invisible to the naked eye. "Right now, a lot of the predictions [about where landslides will happen] are based on someone's gut instinct on the location," says Antoinette Tordesillas, a professor at the School of Mathematics and Statistics at the University of Melbourne, who co-led the research. "We don't rely on gut instinct. We want to develop an objective method here." To develop the software, Tordesillas and her team used radar data from mining companies, which produce extremely detailed information of the surface movement of slopes. The team took the data and looked for patterns, eventually figuring out which networks of movements indicated unstable locations. They also used data from a landslide-prone Italian volcano to help develop the algorithm. The software can also incorporate data about other landslide risk factors, like rainfall and erosion, making the targeting even more precise. The data used for monitoring can come from radar based on the ground, on satellites or even in drones.
Read more of this story at Slashdot.
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New Software Can Predict Landslides Weeks Before They Happen
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