Five decades of radioglaciology
Radar sounding is a powerful geophysical approach for characterizing the subsurface
conditions of terrestrial and planetary ice masses at local to global scales. As a result, a wide …
conditions of terrestrial and planetary ice masses at local to global scales. As a result, a wide …
Macroalgae monitoring from satellite optical images using Context-sensitive level set (CSLS) model
Automatically detecting macroalgae from optical remote sensing images has been a long-
standing problem in ocean monitoring. Existing operational spectral-based techniques tend …
standing problem in ocean monitoring. Existing operational spectral-based techniques tend …
Deep multi-scale learning for automatic tracking of internal layers of ice in radar data
In this study, our goal is to track internal ice layers on the Snow Radar data collected by
NASA Operation IceBridge. We examine the application of deep learning methods on radar …
NASA Operation IceBridge. We examine the application of deep learning methods on radar …
EisNet: Extracting bedrock and internal layers from radiostratigraphy of ice sheets with machine learning
S Dong, X Tang, J Guo, L Fu, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The ice–bedrock interfaces at the bottoms of ice sheets and the internal ice layers record the
historical evolution of the ice sheets and are important indicators for inferring glacier …
historical evolution of the ice sheets and are important indicators for inferring glacier …
[HTML][HTML] Deep clustering in subglacial radar reflectance reveals subglacial lakes
S Dong, L Fu, X Tang, Z Li, X Chen - The Cryosphere, 2024 - tc.copernicus.org
Ice-penetrating radar (IPR) imaging is a valuable tool for observing the internal structure and
bottom of ice sheets. Subglacial water bodies, also known as subglacial lakes, generally …
bottom of ice sheets. Subglacial water bodies, also known as subglacial lakes, generally …
Ice thickness from deep learning and conditional random fields: application to ice-penetrating radar data with radiometric validation
M Liu-Schiaffini, G Ng, C Grima… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Identifying the location of the ice–bedrock interface of glaciers and ice sheets is crucial for a
wide range of geophysical applications, such as searching for liquid water in basal regions …
wide range of geophysical applications, such as searching for liquid water in basal regions …
Semantic segmentation of underwater sonar imagery with deep learning
M Rahnemoonfar, D Dobbs - IGARSS 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Majority of deep learning methods are developed for RGB imagery. However, for many
applications such as detecting objects underwater other types of sensors such as sonar or …
applications such as detecting objects underwater other types of sensors such as sonar or …
Feature tracing in radio-echo sounding products of terrestrial ice sheets and planetary bodies
Radio-echo sounding (RES) is a useful technique for measuring the subsurface properties
of ice sheets and glaciers. One of the most important and unique outcomes is the mapping of …
of ice sheets and glaciers. One of the most important and unique outcomes is the mapping of …
Deep learning on airborne radar echograms for tracing snow accumulation layers of the Greenland ice sheet
Climate change is extensively affecting ice sheets resulting in accelerating mass loss in
recent decades. Assessment of this reduction and its causes is required to project future ice …
recent decades. Assessment of this reduction and its causes is required to project future ice …
Deep ice layer tracking and thickness estimation using fully convolutional networks
Global warming is rapidly reducing glaciers and ice sheets across the world. Real time
assessment of this reduction is required so as to monitor its global climatic impact. In this …
assessment of this reduction is required so as to monitor its global climatic impact. In this …