San Francisco, October 22, 2015

Tagged by: Disasters

Convolutional Neural Networks used to Detect Landslides in RapidEye Imagery

Paper

Landslides pose a major threat to people and property throughout the world, and particularly in landslide-prone regions. Improving our ability to monitor those landslides can improve mitigation, and may ultimately reveal approaches that could predict certain types of landslides in the future. Omid Ghorbanzadeh, from the University of Salzburg, and his team […]

Bigger, Faster Avalanches, Triggered by Climate Change

Features

In 2016, two glaciers in Tibet sheered down to their bed, erupting into avalanches. The first disaster killed nine people. A major study, published in Nature Geosciences, examined Planet imagery in the months leading up to the avalanches, and their aftermath. The work was subsequently featured in the The New York Times: “‘…it […]