6 papers
Few-Shot Domain Adaptation with Temporal References and Static Priors for Glacier Calving Front Delineation
Marcel Dreier, Nora Gourmelon, Dakota Pyles +4
During benchmarking, the state-of-the-art model for glacier calving front delineation achieves near-human performance. However, when applied in a real-world setting at a novel stud…
AMD-HookNet++: Evolution of AMD-HookNet with Hybrid CNN-Transformer Feature Enhancement for Glacier Calving Front Segmentation
Fei Wu, Marcel Dreier, Nora Gourmelon +6
The dynamics of glaciers and ice shelf fronts significantly impact the mass balance of ice sheets and coastal sea levels. To effectively monitor glacier conditions, it is crucial t…
EcoScapes: LLM-Powered Advice for Crafting Sustainable Cities
Martin Röhn, Nora Gourmelon, Vincent Christlein
Climate adaptation is vital for the sustainability and sometimes the mere survival of our urban areas. However, small cities often struggle with limited personnel resources and int…
Multi-temporal Calving Front Segmentation
Marcel Dreier, Nora Gourmelon, Dakota Pyles +5
The calving fronts of marine-terminating glaciers undergo constant changes. These changes significantly affect the glacier's mass and dynamics, demanding continuous monitoring. To…
SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery
Nora Gourmelon, Marcel Dreier, Martin Mayr +5
Glaciers are losing ice mass at unprecedented rates, increasing the need for accurate, year-round monitoring to understand frontal ablation, particularly the factors driving the ca…
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…