2 papers
physics.geo-ph2025
Machine-learned global glacier ice volumes
N. Maffezzoli, E. Rignot, C. Barbante +3
We present a global dataset of glacier ice thickness modeled with IceBoost v2.0, a machine learning model trained on 7 million ice thickness measurements and informed by physical a…
cs.CV2021
Ice Core Science Meets Computer Vision: Challenges and Perspectives
P. Bohleber, M. Roman, C. Barbante +3
Polar ice cores play a central role in studies of the earth's climate system through natural archives. A pressing issue is the analysis of the oldest, highly thinned ice core secti…