Using machine learning to build safer cities
In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A new study published in Scientific Reports has found that urban development activities, including road construction, property development and vegetation loss, are significantl...
Image: Phys.org
In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A new study published in Scientific Reports has found that urban development activities, including road construction, property development and vegetation loss, are significantly increasing landslide susceptibility across parts of eThekwini.
Originally published at Phys.org
