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Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1487

2018

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Diminishing lake area across the northern permafrost zone

Nature geoscience, 2023-03, Vol.16 (3), p.202-209

2023

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Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology

Nature geoscience, 2016-04, Vol.9 (4), p.312-318

2016

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A multi-objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery

International journal of remote sensing, 2023-12, Vol.44 (24), p.7670-7705

2023

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Permafrost thaw drives surface water decline across lake-rich regions of the Arctic

Nature climate change, 2022-08, Vol.12 (9), p.841-846

2022

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Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types

Journal of imaging, 2020-12, Vol.6 (12), p.137

2020

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Cold season emissions dominate the Arctic tundra methane budget

Proceedings of the National Academy of Sciences - PNAS, 2016-01, Vol.113 (1), p.40-45

2016

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The capillaries of the Arctic tundra

Nature water, 2024-07, Vol.2 (7), p.611-614

2024

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Large CO2 and CH4 emissions from polygonal tundra during spring thaw in northern Alaska

Geophysical research letters, 2017-01, Vol.44 (1), p.504-513

2017

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Earlier snowmelt may lead to late season declines in plant productivity and carbon sequestration in Arctic tundra ecosystems

Scientific reports, 2022-03, Vol.12 (1), p.3986-3986, Article 3986

2022

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Depth, ice thickness, and ice-out timing cause divergent hydrologic responses among Arctic lakes

Water resources research, 2015-12, Vol.51 (12), p.9379-9401

2015

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Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1085

2020

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Recent Extreme Runoff Observations From Coastal Arctic Watersheds in Alaska

Water resources research, 2017-11, Vol.53 (11), p.9145-9163

2017

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Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning

IEEE access, 2024, Vol.12, p.43062-43077

2024

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Regional Patterns and Asynchronous Onset of Ice-Wedge Degradation since the Mid-20th Century in Arctic Alaska

Remote sensing (Basel, Switzerland), 2018-08, Vol.10 (8), p.1312

2018

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Reply to: Detecting long-term Arctic surface water changes

Nature climate change, 2023-11, Vol.13 (11), p.1194-1196

2023

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Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (11), p.2719

2022

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Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4132

2022

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Detection and Assessment of a Large and Potentially Tsunamigenic Periglacial Landslide in Barry Arm, Alaska

Geophysical research letters, 2020-11, Vol.47 (22), p.e2020GL089800-n/a

2020

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Tundra water budget and implications of precipitation underestimation

Water resources research, 2017-08, Vol.53 (8), p.6472-6486

2017

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Landscape impacts of 3D-seismic surveys in the Arctic National Wildlife Refuge, Alaska

Ecological applications, 2020-10, Vol.30 (7), p.1-20

2020

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Climate Change Risks to Freshwater Subsistence Fisheries in Arctic Alaska: Insights and Uncertainty from Broad Whitefish Coregonus nasus

Fisheries (Bethesda), 2023-07, Vol.48 (7), p.295-306

2023

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Modeled Streamflow Response to Scenarios of Tundra Lake Water Withdrawal and Seasonal Climate Extremes, Arctic Coastal Plain, Alaska

Water resources research, 2022-08, Vol.58 (8), p.n/a

2022

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Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery

Journal of imaging, 2020-09, Vol.6 (9), p.97

2020

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Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.797

2024

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Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery

Diminishing lake area across the northern permafrost zone

Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology

A multi-objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery

Permafrost thaw drives surface water decline across lake-rich regions of the Arctic

Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types

Cold season emissions dominate the Arctic tundra methane budget

The capillaries of the Arctic tundra

Large CO2 and CH4 emissions from polygonal tundra during spring thaw in northern Alaska

Earlier snowmelt may lead to late season declines in plant productivity and carbon sequestration in Arctic tundra ecosystems

Depth, ice thickness, and ice-out timing cause divergent hydrologic responses among Arctic lakes

Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images

Recent Extreme Runoff Observations From Coastal Arctic Watersheds in Alaska

Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning

Regional Patterns and Asynchronous Onset of Ice-Wedge Degradation since the Mid-20th Century in Arctic Alaska

Reply to: Detecting long-term Arctic surface water changes

Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery

Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery

Detection and Assessment of a Large and Potentially Tsunamigenic Periglacial Landslide in Barry Arm, Alaska

Tundra water budget and implications of precipitation underestimation

Landscape impacts of 3D-seismic surveys in the Arctic National Wildlife Refuge, Alaska

Climate Change Risks to Freshwater Subsistence Fisheries in Arctic Alaska: Insights and Uncertainty from Broad Whitefish Coregonus nasus

Modeled Streamflow Response to Scenarios of Tundra Lake Water Withdrawal and Seasonal Climate Extremes, Arctic Coastal Plain, Alaska

Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping

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