As they disintegrate over time, the machine performs a giant puzzle problem, linking the smaller “child” fragments back to the “parent” and creating detailed family trees never before possible at this scale.
It represents a huge improvement on existing methods, where scientists pore over satellite images to visually identify and track only the largest icebergs one by one.
The AI system, which was tested using satellite observations over Greenland, provides “vital new information” for scientists and improves predictions about the future climate, said the British Antarctic Survey.
Knowing where these giant slabs of freshwater were melting into the ocean was especially crucial with ice loss expected to increase in a warming world, it added.
“What’s exciting is that this finally gives us the observations we’ve been missing,” Ben Evans, a machine learning expert at the British Antarctic Survey, said in a statement.
“We’ve gone from tracking a few famous icebergs to building full family trees. For the first time, we can see where each fragment came from, where it goes and why that matters for the climate.”
This use of AI could also be adapted to aid safe passage for navigators through treacherous polar regions littered by icebergs.
Iceberg calving is a natural process. But scientists say the rate at which they were being lost from Antarctica is increasing, probably because of human-induced climate change.
- Agence France-Presse