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Abstract: A Data-Driven Framework for Active Layer Thickness Prediction across Circum-Arctic Permafrost Regions Using Geospatial Machine Learning (AGU25)

A Data-Driven Framework for Active Layer Thickness Prediction across Circum-Arctic Permafrost Regions Using Geospatial Machine Learning

Andrew Wilcox1, Aymane Ahajjam2, Mary Soaper1, Robert Chance3 and Timothy Pasch4, (1)University of North Dakota, Grand Forks, ND, United States, (2)University of North Dakota, School of Electrical Engineering and Computer Science, Grand Forks, ND, United States, (3)University of North Dakota, Harold Hamm School of Geology and Geological Engineering, Grand Forks, ND, United States, (4)The University of North Dakota, Department of Communication, Grand Forks, United States
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