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Caffe - A Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery

IEEE International Geoscience and Remote Sensing Symposium, 2023
Frontal dynamics of marine-terminating glaciers play a crucial role in glacier projections. To reduce manual effort, deep learning methods can be employed to extract calving front positions from satellite imagery automatically.
Nora Gourmelon   +5 more
semanticscholar   +1 more source

A Hybrid CNN + Random Forest Approach to Delineate Debris Covered Glaciers Using Deep Features

Journal of the Indian Society of Remote Sensing, 2018
The main aim of this study is to propose a novel hybrid deep learning framework approach for accurate mapping of debris covered glaciers. The framework comprises of integration of several CNNs architecture, in which different combinations of Landsat 8 multispectral bands (including thermal band), topographic and texture parameters are passed as input ...
Rahul Nijhawan   +2 more
openaire   +1 more source

A Rapid GeoSAM-Based Workflow for Multi-Temporal Glacier Delineation: Case Study from Svalbard

arXiv.org
Consistent glacier boundary delineation is essential for monitoring glacier change, yet many existing approaches are difficult to scale across long time series and heterogeneous environments.
Alexandru Hegyi
semanticscholar   +1 more source

Few-Shot Domain Adaptation with Temporal References and Static Priors for Glacier Calving Front Delineation

arXiv.org
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 study site, its delineation accuracy is insufficient for calving front ...
Marcel Dreier   +6 more
semanticscholar   +1 more source

An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery

Remote Sensing of Environment, 2021
Abstract In the past two decades, the data volume of remote sensing imagery in the polar regions has increased dramatically. The calving fronts of many Greenland glaciers have been undergoing substantial variations, and a comprehensive front dataset is necessary for better understanding such frontal dynamics.
Enze Zhang   +3 more
openaire   +1 more source

Comparison of Support Vector Machine and Artificial Neural Network for Delineating Debris Covered Glacier

2016
Glacier mapping accuracy plays very important role in studies like mass balance of glacier, water resource management and in understanding the health of the glacier. Several of the present glaciers are covered with debris of different thickness. So it becomes difficult to distinguish debris covered glacier from the adjacent valley rock, alone with the ...
Rahul Nijhawan   +2 more
openaire   +1 more source

Contextual HookFormer for Glacier Calving Front Segmentation

IEEE Transactions on Geoscience and Remote Sensing
Position changes in glacier calving fronts are important indicators for evaluating the health of ice sheet outlet glaciers and changes in ice dynamics.
Fei Wu   +6 more
semanticscholar   +1 more source

Utilizing sentinel-1 SAR for delineation of narrow intertidal zones and habitat types in Svalbard

International Journal of Remote Sensing
Intertidal habitats have been significantly impacted by accelerated climate change in Arctic regions over the past few decades, particularly in Svalbard. New substrates are exposed as glacier retreat, making them accessible to benthic vegetation.
J. Gintauskas   +5 more
semanticscholar   +1 more source

Delineation of glacial zones of Gangotri and other glaciers of Central Himalaya using RISAT-1 C-band dual-pol SAR

International Journal of Remote Sensing, 2015
The Himalayan glaciers, being unique in nature, need more detailed study over their evolution in the Himalayan glacial zones. A methodology has been developed using two-dimensional signatures from synthetic aperture radar SAR C-band dual-polarized data.
Sanchayita Kundu, Manab Chakraborty
openaire   +1 more source

How well do InSAR measurements align with rock glacier delineations in the Austrian Alps?

Rock glaciers, key indicators of permafrost dynamics and hydrological processes in alpine regions, are studied to understand their kinematics and responses to climate change. By analysing Earth observation (EO) data, it is possible to detect and delineate them, estimate rock glacier velocities including seasonal and multi-year velocity patterns, and ...
Elena Nafieva   +6 more
openaire   +1 more source

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