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Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2014jg002744openalex-snapshot
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Mapping the Activity and Evolution of Retrogressive Thaw Slumps by Tasselled Cap Trend Analysis of a Landsat Satellite Image Stack
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Climatic and geomorphic factors affecting contemporary (1950–2004) activity of retrogressive thaw slumps on the Aklavik Plateau, Richardson Mountains, NWT, Canada
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Preliminary assessment of thaw slump hazard to Arctic cultural heritage in Nordenskiöld Land, Svalbard
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Permafrost livelihoods: A transdisciplinary review and analysis of thermokarst-based systems of indigenous land use
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Identifying permafrost slope disturbance using multi-temporal optical satellite images and change detection techniques
inferredcites →https://doi.org/10.1016/j.gloplacha.2015.02.008openalex-snapshot
Increased precipitation drives mega slump development and destabilization of ice-rich permafrost terrain, northwestern Canada
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Automatically quantifying evolution of retrogressive thaw slumps in Beiluhe (Tibetan Plateau) from multi-temporal CubeSat images
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Deep visual domain adaptation: A survey
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Automated detection of thermoerosion in permafrost ecosystems using temporally dense Landsat image stacks
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Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images
inferredcites →https://doi.org/10.1021/acs.est.8b05348openalex-snapshot
Unprecedented Increases in Total and Methyl Mercury Concentrations Downstream of Retrogressive Thaw Slumps in the Western Canadian Arctic
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Climate Change Drives Widespread and Rapid Thermokarst Development in Very Cold Permafrost in the Canadian High Arctic
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Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic
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Permafrost carbon emissions in a changing Arctic
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The changing thermal state of permafrost
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inferredcites →https://doi.org/10.1088/1748-9326/11/3/034025openalex-snapshot
Acceleration of thaw slump activity in glaciated landscapes of the Western Canadian Arctic
inferredcites →https://doi.org/10.1088/1748-9326/ab12fdopenalex-snapshot
Rapid initialization of retrogressive thaw slumps in the Canadian high Arctic and their response to climate and terrain factors
inferredcites →https://doi.org/10.1088/1748-9326/abac36openalex-snapshot
Particulate dominance of organic carbon mobilization from thaw slumps on the Peel Plateau, NT: Quantification and implications for stream systems and permafrost carbon release
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Deep Residual Learning for Image Recognition
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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inferredcites →https://doi.org/10.1139/as-2016-0034openalex-snapshot
Impacts of active retrogressive thaw slumps on vegetation, soil, and net ecosystem exchange of carbon dioxide in the Canadian High Arctic
inferredcites →https://doi.org/10.3390/rs10060954openalex-snapshot
Climate Sensitivity of High Arctic Permafrost Terrain Demonstrated by Widespread Ice-Wedge Thermokarst on Banks Island
inferredcites →https://doi.org/10.3390/rs10091487openalex-snapshot
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inferredcites →https://doi.org/10.3390/rs10111734openalex-snapshot
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inferredcites →https://doi.org/10.3390/rs13214294openalex-snapshot
Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
inferredcites →https://doi.org/10.3390/su12114667openalex-snapshot
Cumulative Environmental Impacts in the Gwich’in Cultural Landscape
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inferredcites →https://doi.org/10.5194/bg-14-5487-2017openalex-snapshot
Retrogressive thaw slumps temper dissolved organic carbon delivery to streams of the Peel Plateau, NWT, Canada
inferredcites →https://doi.org/10.5194/essd-14-3875-2022openalex-snapshot
Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics
inferredcites →https://doi.org/10.5194/tc-13-237-2019openalex-snapshot
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inferredcites →https://doi.org/10.5194/tc-14-4279-2020openalex-snapshot
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4762408openalex-extracted
A Multi-Scale Vision Transformer-Based Multimodal Geoai Model for Mapping Arctic Permafrost Thaw
inferred← citeshttps://doi.org/10.1002/esp.5890openalex-snapshot
Retrogressive thaw slump susceptibility in the northern hemisphere permafrost region
inferred← citeshttps://doi.org/10.1002/ppp.2218openalex-snapshot
Advances in retrogressive thaw slump research in permafrost regions
inferred← citeshttps://doi.org/10.1002/ppp.2275openalex-snapshot
Remote Sensing for Identification and Mapping of Thermokarst Landforms: A Review
inferred← citeshttps://doi.org/10.1016/j.accre.2026.05.021openalex-snapshot
Assessing the susceptibility to thaw settlement hazards in circum-Arctic permafrost regions during 2000–2020
inferred← citeshttps://doi.org/10.1016/j.coldregions.2026.104948openalex-snapshot
Retrogressive thaw slumps of Novaya Sibir’ Island (East Siberian Sea): activity increase under unique ground ice conditions
inferred← citeshttps://doi.org/10.1016/j.geomorph.2024.109212openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2024.109581openalex-snapshot
Retrogressive thaw slumps recognition and occurrence analysis using deep learning with satellite remote sensing in the central Qinghai-Tibet Plateau
inferred← citeshttps://doi.org/10.1016/j.gloplacha.2025.104949openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.10.008openalex-snapshot
Identifying active retrogressive thaw slumps from ArcticDEM
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.06.002openalex-snapshot
Hemispheric-scale mapping of thaw slumps using a cloud-native and transferable deep learning framework
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104414openalex-snapshot
An enhanced image stacks method for mapping long-term retrogressive thaw slumps in the Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104419openalex-snapshot
Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127493openalex-snapshot
Deep learning in fringe projection: A review
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113495openalex-snapshot
Mapping retrogressive thaw slumps using deep neural networks
inferred← citeshttps://doi.org/10.1038/s41597-024-03754-7openalex-snapshot
Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo)
inferred← citeshttps://doi.org/10.1038/s41597-025-04372-7openalex-snapshot
A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards
inferred← citeshttps://doi.org/10.1080/01431161.2023.2195571openalex-snapshot
A transfer learning approach for automatic mapping of retrogressive thaw slumps (RTSs) in the western Canadian Arctic
inferred← citeshttps://doi.org/10.1080/01431161.2026.2719402openalex-snapshot
Automated detection of retrogressive thaw slumps in high-resolution optical imagery using a knowledge-distilled Transformer
inferred← citeshttps://doi.org/10.1080/17538947.2025.2484466openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/igarss52108.2023.10282405openalex-snapshot
Detection of Karst Depressions in Brazil Using Deep Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/jstars.2025.3564310openalex-snapshot
A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3448294openalex-snapshot
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
inferred← citeshttps://doi.org/10.1145/3557918.3565869openalex-snapshot
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
inferred← citeshttps://doi.org/10.1186/s40645-026-00805-yopenalex-snapshot
Deep learning-based detection for thermokarst topography using the chopped picture method
inferred← citeshttps://doi.org/10.1186/s40645-026-00828-5openalex-snapshot
Advanced computational methods for predicting permafrost conditions: a survey
inferred← citeshttps://doi.org/10.21203/rs.3.rs-11051608/v1openalex-snapshot
Disturbances Increase Net Carbon Emissions in the Arctic-Boreal Zone - An Expert Assessment
inferred← citeshttps://doi.org/10.2139/ssrn.5021823openalex-snapshot
Detecting Mass Wasting of Retrogressive Thaw Slumps in Spaceborne Elevation Models Using Deep Learning
inferred← citeshttps://doi.org/10.2139/ssrn.6831669openalex-snapshot
Utilizing Machine Learning to Detect Thaw Pond Change in Landscape Satellite Imagery: A Case Study from Nome, Alaska
inferred← citeshttps://doi.org/10.3390/rs16132361openalex-snapshot
A Comparison of Satellite Imagery Sources for Automated Detection of Retrogressive Thaw Slumps
inferred← citeshttps://doi.org/10.3390/rs18030380openalex-snapshot
Multi-Source Remote Sensing Data-Driven Susceptibility Mapping of Retrogressive Thaw Slumps in the Yangtze River Source Region
inferred← citeshttps://doi.org/10.3390/su16125120openalex-snapshot
Susceptibility Mapping of Thaw Slumps Based on Neural Network Methods along the Qinghai–Tibet Engineering Corridor
inferred← citeshttps://doi.org/10.5194/egusphere-2023-2914-rc2openalex-snapshot
Comment on egusphere-2023-2914
inferred← citeshttps://doi.org/10.5194/essd-15-447-2023openalex-snapshot
Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago
inferred← citeshttps://doi.org/10.5194/tc-17-4511-2023openalex-snapshot
Allometric scaling of retrogressive thaw slumps
inferred← citeshttps://doi.org/10.5194/tc-18-4787-2024openalex-snapshot
Review article: Retrogressive thaw slump characteristics and terminology
inferred← citeshttps://doi.org/10.52381/icop2024.213.1openalex-snapshot
Retrogressive thaw slump activity in the western Canadian Arctic (1984–2016)
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