A leading deep learning model for tracing glacier calving fronts can be adapted to new locations with only three pieces of information: one hand-labeled image per glacier, unlabeled summer reference images, and a map of the underlying rock. This could aid scientists who are tracking glacier loss. https://spectrum.ieee.org/tracking-glacier-melting-ai?utm_source=mastodon&utm_medium=social&utm_campaign=fedica-Mastodon-Daily-Pipeline
AI Could Increase Remote Monitoring of Glacier Melting

New approach lets top AI glacier tracking model easily adapt to new regions

IEEE Spectrum