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Globally scalable glacier mapping by deep learning matches expert delineation accuracy [PDF]
Nature CommunicationsAccurate global glacier mapping is critical for understanding climate change impacts. Despite its importance, automated glacier mapping at a global scale remains largely unexplored.
Konstantin A. Maslov +3 more
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A Progressive Learning Strategy for Large-Scale Glacier Mapping
IEEE Access, 2022 In recent years, the worldwide temperature increase has resulted in rapid deglaciation and a higher risk of glacier-related natural hazards such as flooding and debris flow.
Zhiyuan Xie +2 more
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GlacierNet2: A hybrid Multi-Model learning architecture for alpine glacier mapping
International Journal of Applied Earth Observations and Geoinformation, 2022 In recent decades, climate change has significantly affected glacier dynamics, resulting in mass loss and an increased risk of glacier-related hazards including supraglacial and proglacial lake development, as well as catastrophic outburst flooding ...
Zhiyuan Xie +5 more
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Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal [PDF]
The Cryosphere, 2012 Surface glacier debris samples and field spectra were collected from the ablation zones of Nepal Himalaya Ngozumpa and Khumbu glaciers in November and December 2009.
K. A. Casey, A. Kääb, D. I. Benn
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Evaluating deep-learning models for debris-covered glacier mapping
Applied Computing and Geosciences, 2021 In recent decades, mountain glaciers have experienced the impact of climate change in the form of accelerated glacier retreat and other glacier-related hazards such as mass wasting and glacier lake outburst floods.
Zhiyuan Xie +2 more
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Regional Glacier Mapping Using Optical Satellite Data Time Series
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 The first of two Sentinel-2 satellites, launched mid2015, has similar characteristics as the Landsat TM/ETM + /OLI satellites. Together, these satellites will produce a tremendous quantity of optical images worldwide for glacier mapping, with increasing ...
Solveig Havstad Winsvold +2 more
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GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping
IEEE Access, 2020 Rising global temperatures over the past decades is directly affecting glacier dynamics. To understand glacier fluctuations and document regional glacier-state trends, glacier-boundary detection is necessary. Debris-covered glacier (DCG) mapping, however,
Zhiyuan Xie +5 more
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Updating glacier inventories on the periphery of Antarctica and Greenland using multi-source data
Annals of Glaciology, 2023 Melting and calving of glaciers and ice caps in Antarctica and Greenland could potentially contribute significantly to global sea level rise. Updates to existing outlines that provide critical glacier baseline information in both regions could help in ...
Xingchen Liu +4 more
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Journal of Glaciology, 2022 The overall trend of rapid retreat of Alpine glaciers contains considerable variability of responses at the scale of individual glaciers. As a step towards a regional assessment of glacier state that allows a detailed differentiation of single glaciers ...
Lea Hartl +4 more
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Journal of Maps, 2023 Glaciers in the Tibetan Plateau are melting at an unprecedented recently rate in the context of global warming. Time-sequenced landform mapping for the Hailuogou Glacier, a partly debris-covered glacier in the southeastern Tibetan Plateau, shows the ...
Shuyang Xu +5 more
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