2 papers
cs.CV2026
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning
Nora Gourmelon, Konrad Heidler, Erik Loebel +12
Continuous monitoring of glacier calving fronts is essential for sea level rise projections. This study benchmarks Deep Learning systems for front delineation in Synthetic Aperture…
cs.CV2025
Multi-Sensor Deep Learning for Glacier Mapping
Codruţ-Andrei Diaconu, Konrad Heidler, Jonathan L. Bamber +1
The more than 200,000 glaciers outside the ice sheets play a crucial role in our society by influencing sea-level rise, water resource management, natural hazards, biodiversity, an…