AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini
Ice sheet marine margins via outlet glaciers are susceptible to climate change and are
expected to respond through retreat, steepening, and acceleration, although with significant …
expected to respond through retreat, steepening, and acceleration, although with significant …
Pervasive glacier retreats across Svalbard from 1985 to 2023
A major uncertainty in predicting the behaviour of marine-terminating glaciers is ice
dynamics driven by non-linear calving front retreat, which is poorly understood and …
dynamics driven by non-linear calving front retreat, which is poorly understood and …
Advances in monitoring glaciological processes in Kalallit Nunaat (Greenland) over the past decades
D Fahrner, G Catania, MG Shahin, CA Diaconu, K Heidler, JL Bamber… - Deep Learning for Multi …, 2025 - Elsevier
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, and …
influencing sea-level rise, water resource management, natural hazards, biodiversity, and …
[HTML][HTML] Calving front monitoring at a subseasonal resolution: a deep learning application for Greenland glaciers
The mass balance of the Greenland Ice Sheet is strongly influenced by the dynamics of its
outlet glaciers. Therefore, it is of paramount importance to accurately and continuously …
outlet glaciers. Therefore, it is of paramount importance to accurately and continuously …
CS-GAC: Compressively sensed geodesic active contours
H Shan - Pattern Recognition, 2024 - Elsevier
This paper proposes an edge based compressively sensed (CS) geodesic active contour
(GAC) model, termed CS-GAC, to ensure faithful edge detection and accurate object …
(GAC) model, termed CS-GAC, to ensure faithful edge detection and accurate object …
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning
Calving front position variation of marine-terminating glaciers is an indicator of ice mass loss
and a crucial parameter in numerical glacier models. Deep Learning (DL) systems can …
and a crucial parameter in numerical glacier models. Deep Learning (DL) systems can …