Posts Tagged

Permafrost

2026 continues to be an excellent year for the UND ARCTIC Lab with three new papers published by our teams in February and April: “The Arctic Knowledge-Based System: Science Gateway Integration for Petascale Arctic Data Processing and Geospatial Feature Prediction” Published in Elsevier’s Applied Computing and Geosciences journal in February. The paper focuses on the […]

Challenges with collecting fieldwork data in remote regions of Alaska vary considerably depending on the season.   Winter weather can descend below -50 degrees Fahrenheit, creating challenges with remote sensing equipment, vehicles, batteries, and the need to closely monitor core body temperature. Summer weather brings different but equally important considerations including bears, moose, insects in extraordinary numbers and of great […]

Featured in the International Journal of Applied Earth Observation and Geoinformation (Impact Factor 8.6; Vol. 140, June 2025), a research paper by the UND ARCTIC Lab introduces a new technique for predicting the freeze-thaw states of Northern Alaska’s active layer of soil, that has consistently outperformed traditional methods.   In “Predicting Freeze-Thaw States in Alaska Permafrost […]

Featured in Ecological Informatics (Impact Factor 7.3; Vol. 85, March 2025), a new research paper by the UND Arctic Lab explores new ways to predict and manage one of the region’s most pressing threats: wildfires.   In “Enhancing Prediction of Wildfire Occurrence and Behavior in Alaska Using Spatio-Temporal Clustering and Ensemble Machine Learning,” https://doi.org/10.1016/j.ecoinf.2024.102963; UND Arctic Lab […]