Showcasing ARCTIC Lab's research, publications, and broader impacts, highlighting how science connects to communities and real-world change.
2026 is off to a strong start for the UND ARCTIC Lab, with three high impact papers from our team published or accepted for publication over the last two months. “Multi-horizon active layer thickness prediction across circum-Arctic permafrost regions using geospatial machine learning” was published in the Journal of Geophysical Research: Machine Learning and […]
Categories: News, Publications
The UND Arctic Lab is enthusiastic to announce that our new paper, “Multi-Horizon Active Layer Thickness Prediction across Circum-Arctic Permafrost Regions Using Geospatial Machine Learning,” has been accepted into the American Geophysical Union’s new Journal of Geophysical Research: Machine Learning and Computation. This prestigious AGU journal, the newest edition to the Journal of Geophysical […]
As the American Geophysical Union (AGU) 2025 Annual Conference approaches its December 15th start date, the UND ARCTIC Lab will have a big presence at the four-day event, one of the most important geospatial research conferences in the world. We have had 7 presenters accepted, including our own Research Engineer II Aymane Ahajjam who has been selected as a […]
Categories: News, Publications, Research
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 […]
Categories: News, Publications, Research
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 […]
Members of the UND ARCTIC Lab had the opportunity to attend the IEEE-USA’s Innovation, Workforce & Research Conference on AI & Autonomy this week. With our lab’s focus on Arctic geospatial research leveraging aerial, terrestrial and space-based autonomous systems for national security, this opportunity to directly connect with leaders in AI and autonomy was both inspiring and […]