Landslides can tear homes apart, destroy infrastructure and cost lives, but they’re notoriously tough to predict. Geologists, though, say artificial intelligence can help — and many use models that rely on machine learning to predict areas at high risk.
in the journal Communications Earth & Environment say they’ve come up with an even better way to use AI for landslide predictions — one that lets researchers learn more about which variables are more likely to tip an area from firm ground to landslide.
Landslides can be caused by a variety of factors, from massive rainfall to ground motion and slope. And though AI has already been deployed in landslide prediction models, geologists don’t always know which of those variables were most influential in the machine-generated predictions.To make landslide prediction more accurate, the researchers relied on a type of AI that makes the interactions of a variety of complex factors clearer.
The new AI tool was about as accurate as other AI models now in use, but the researchers say their model takes less computing power than others and allows its human operators to learn more from its analyses. “Similar to how autopsies are required to determine the cause of death, identifying the exact trigger for a landslide will always require field measurements and historical records of soil, hydrologic and climate conditions, such as rainfall amount and intensity, which can be hard to obtain in remote places like the Himalayas,”
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