Paper Accepted into New AGU Journal of Machine Learning and Computation

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 Research family, focuses on geospatial sciences with a heavy emphasis on computationally intensive data-driven methods: the perfect place to showcase our lab’s leading-edge research.  

Our acceptance in this journal is recognition of UND ARCTIC’s innovation in Arctic-related predictive geospatial visual analytics related to permafrost and global Arctic transformation.  

This major publication leads directly up to our team’s seven accepted presentations and posters at the upcoming 2025 AGU Fall Meeting in New Orleans next week. The lead author on our new paper, Aymane Ahajjam, will be among our presenters, where he will share a research abstract titled, “ASAP: A Web-based Analysis and Decision Support System for Alaska Permafrost.”  

View the Journal: https://agupubs.onlinelibrary.wiley.com/journal/29935210

View the ARCTIC Lab’s AGU Lineup: https://agu.confex.com/agu/agu25/meetingapp.cgi/Person/1253888