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Utilizing Machine Learning to Detect Thaw Pond Change in Landscape Satellite Imagery: A Case Study from Nome, Alaska

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inferredcites →https://doi.org/10.1002/2014jg002778openalex-snapshot
Disappearing Arctic tundra ponds: Fine‐scale analysis of surface hydrology in drained thaw lake basins over a 65 year period (1948–2013)
inferredcites →https://doi.org/10.1002/lno.11349openalex-snapshot
Ontogenic succession of thermokarst thaw ponds is linked to dissolved organic matter quality and microbial degradation potential
inferredcites →https://doi.org/10.1007/s10584-005-5352-2openalex-snapshot
Evidence and Implications of Recent Climate Change in Northern Alaska and Other Arctic Regions
inferredcites →https://doi.org/10.1007/s13753-023-00504-yopenalex-snapshot
Automatic Identification of Thaw Slumps Based on Neural Network Methods and Thaw Slumping Susceptibility
inferredcites →https://doi.org/10.1016/j.envsci.2025.104178openalex-snapshot
Embodying the impact of climate change for decision makers using augmented reality (AR): A case study of climate-threatened cultural heritage sites in Western Alaska
inferredcites →https://doi.org/10.1016/j.gloenvcha.2008.01.004openalex-snapshot
Freshwater vulnerabilities and resilience on the Seward Peninsula: Integrating multiple dimensions of landscape change
inferredcites →https://doi.org/10.1016/j.rse.2015.07.001openalex-snapshot
Landsat-based mapping of thermokarst lake dynamics on the Tuktoyaktuk Coastal Plain, Northwest Territories, Canada since 1985
inferredcites →https://doi.org/10.1016/j.sftr.2025.100762openalex-snapshot
Vernacular Infrastructure: a hidden cost in the economics of climate change and permafrost thaw in Alaska
inferredcites →https://doi.org/10.1038/ngeo2654openalex-snapshot
Large contribution to inland water CO2 and CH4 emissions from very small ponds
inferredcites →https://doi.org/10.1038/s41467-018-07557-4openalex-snapshot
Degrading permafrost puts Arctic infrastructure at risk by mid-century
inferredcites →https://doi.org/10.1038/s41467-018-07663-3openalex-snapshot
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic
inferredcites →https://doi.org/10.1038/s41561-023-01128-zopenalex-snapshot
Diminishing lake area across the northern permafrost zone
inferredcites →https://doi.org/10.1080/01431161.2020.1752954openalex-snapshot
Mapping thermokarst lakes and ponds across permafrost landscapes in the Headwater Area of Yellow River on northeastern Qinghai-Tibet Plateau
inferredcites →https://doi.org/10.1080/22797254.2022.2163923openalex-snapshot
A machine learning method for Arctic lakes detection in the permafrost areas of Siberia
inferredcites →https://doi.org/10.1088/1748-9326/abd270openalex-snapshot
Landsat-based lake distribution and changes in western Alaska permafrost regions between the 1970s and 2010s
inferredcites →https://doi.org/10.1109/ecti-con49241.2020.9158105openalex-snapshot
Infrared Normalized Difference Vegetation Index for Sentinel-2A Imagery
inferredcites →https://doi.org/10.1109/jstars.2022.3213192openalex-snapshot
MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice
inferredcites →https://doi.org/10.1126/science.1108142openalex-snapshot
Disappearing Arctic Lakes
inferredcites →https://doi.org/10.1134/s0026261719060043openalex-snapshot
Thermokarst Lakes, Ecosystems with Intense Microbial Processes of the Methane Cycle
inferredcites →https://doi.org/10.1175/jcli-d-22-0434.1openalex-snapshot
Alaska Terrestrial and Marine Climate Trends, 1957–2021
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/rs14122747openalex-snapshot
Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic
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